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..

13 Commits

Author SHA1 Message Date
Andreas Auernhammer 5a16671f72 do not set response header X-Frame-Options for S3 requests (#5838)
This change removes the X-Frame-Options header - It should
not be set for S3 requests since it can break CORS.

Fixes #5813
2018-04-19 11:46:37 -07:00
Ashish Kumar Sinha 9ebb72aa99 Introduce new unauthenticated endpoint /metric (#5723) (#5829)
/metric exposes Promethus compatible data for scraping metrics

Fixes: #5723
2018-04-18 16:01:42 -07:00
wd256 9f31da5d57 Fix PutObject/CopyObject with metadata for GCS gateway (#5828)
Make sure to apply standard headers such as Content-Type,
Content-Disposition and Content-Language to the correct
GCS object attributes during object upload and copy operations.

Fixes: #5800
2018-04-18 21:40:48 +05:30
Harshavardhana 0e9c73cbcf update browser ui-assets (#5831) 2018-04-17 09:31:55 +05:30
Harshavardhana c332b4fb5e fix shadowing issue in logger (#5830) 2018-04-16 13:36:45 -07:00
Rushan ed5f2d899d Browser: Disable input validation styles on Firefox (#5822) 2018-04-16 10:47:03 -07:00
Harshavardhana adf9a9d300 Remove all unused variables and functions (#5823) 2018-04-15 19:26:04 +05:30
Harshavardhana 97a8d856b6 Vendorize new changes from minio-go repo (#5821)
- When policy is empty delete the bucket policy (#966) (04/13/18) <Harshavardhana>
- Add tests to check if ListObjects/V2 returns expected StorageClass (#963) (04/10/18) <Nitish Tiwari>
- Update get/setBucketPolicy methods to use files instead of pkg/policy (#959) (04/10/18) <Nitish Tiwari>
- avoid unnecessary stat call during single copy (#962) (04/06/18) <Andreas Auernhammer>
- avoid sending SSE-S3 header during GET requests. (#965) (04/05/18) <Andreas Auernhammer>
- Fix stream SSE uploads with S3 encrypt type (#960) (04/02/18) <Jesús Espino>
- Fix xml parsing error for RemoveObjects API (#949) (03/29/18) <poornas>
- Allow to upload empty files in stream based uploads (#958) (03/26/18) <Jesús Espino>
- Add missing doneCh in the example for removeobjects (#955) (03/26/18) <Alexandr Korsak>
- tests: Remove partial related tests (#957) (03/26/18) <Anis Elleuch>
- Add transport connection broken error to retry list (#956) (03/19/18) <poornas>
- [refactor]: simplify client encryption examples (#952) (03/19/18) <Andreas Auernhammer>
- Add tests for putObjectContentLanguage (#950) (03/15/18) <Harshavardhana>
- Add putObject/getObject() client side encryption examples (#948) (03/13/18) <Harshavardhana>
2018-04-15 11:39:48 +05:30
Nitish Tiwari 638f01f9e4 Generalize loadConfig method to avoid reading from disk (#5819)
As we move to multiple config backends like local disk and etcd,
config file should not be read from the disk, instead the quick
package should load and verify for duplicate entries.
2018-04-13 15:14:19 -07:00
Harshavardhana 57b8db2088 Cleanup help to bring concise self-help message (#5788) 2018-04-13 11:57:05 -07:00
Harshavardhana bcd54632f5 Fix broken 'minio update' command on Windows (#5816) 2018-04-13 11:51:03 -07:00
Nitish Tiwari 42f775af4f Add cache config for configuration comparison (#5812) 2018-04-13 23:45:19 +05:30
Minio Trusted 75f35b926d Update yaml files to latest version RELEASE.2018-04-12T23-41-09Z 2018-04-12 23:45:16 +00:00
145 changed files with 18298 additions and 433 deletions
+1
View File
@@ -87,6 +87,7 @@ select.form-control {
z-index: 1;
border-bottom: 1px solid #eee;
color: #32393F;
box-shadow: none;
font-size: 13px;
+24 -24
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File diff suppressed because one or more lines are too long
+2 -1
View File
@@ -33,6 +33,7 @@ import (
"github.com/minio/minio/pkg/auth"
"github.com/minio/minio/pkg/handlers"
"github.com/minio/minio/pkg/madmin"
"github.com/minio/minio/pkg/quick"
)
const (
@@ -693,7 +694,7 @@ func (a adminAPIHandlers) SetConfigHandler(w http.ResponseWriter, r *http.Reques
// Validate JSON provided in the request body: check the
// client has not sent JSON objects with duplicate keys.
if err = checkDupJSONKeys(string(configBytes)); err != nil {
if err = quick.CheckDuplicateKeys(string(configBytes)); err != nil {
logger.LogIf(ctx, err)
writeErrorResponse(w, ErrAdminConfigBadJSON, r.URL)
return
-10
View File
@@ -78,13 +78,3 @@ func getObjectResources(values url.Values) (uploadID string, partNumberMarker, m
encodingType = values.Get("encoding-type")
return
}
// Validates filter values
func validateFilterValues(values []string) (err APIErrorCode) {
for _, value := range values {
if !IsValidObjectPrefix(value) {
return ErrFilterValueInvalid
}
}
return ErrNone
}
-36
View File
@@ -18,7 +18,6 @@ package cmd
import (
"net/url"
"strings"
"testing"
)
@@ -189,38 +188,3 @@ func TestGetObjectsResources(t *testing.T) {
}
}
}
// Validates if filter values are correct
func TestValidateFilterValues(t *testing.T) {
testCases := []struct {
values []string
expectedError APIErrorCode
}{
{
values: []string{""},
expectedError: ErrNone,
},
{
values: []string{"", "prefix"},
expectedError: ErrNone,
},
{
values: []string{strings.Repeat("a", 1025)},
expectedError: ErrFilterValueInvalid,
},
{
values: []string{"a\\b"},
expectedError: ErrFilterValueInvalid,
},
{
values: []string{string([]byte{0xff, 0xfe, 0xfd})},
expectedError: ErrFilterValueInvalid,
},
}
for i, testCase := range testCases {
if actualError := validateFilterValues(testCase.values); actualError != testCase.expectedError {
t.Errorf("Test %d: Expected %d, got %d", i+1, testCase.expectedError, actualError)
}
}
}
+4 -66
View File
@@ -19,7 +19,6 @@ package cmd
import (
"errors"
"fmt"
"io/ioutil"
"reflect"
"sync"
@@ -27,7 +26,6 @@ import (
"github.com/minio/minio/pkg/event"
"github.com/minio/minio/pkg/event/target"
"github.com/minio/minio/pkg/quick"
"github.com/tidwall/gjson"
)
// Steps to move from version N to version N+1
@@ -139,6 +137,8 @@ func (s *serverConfig) ConfigDiff(t *serverConfig) string {
return "Domain configuration differs"
case s.StorageClass != t.StorageClass:
return "StorageClass configuration differs"
case !reflect.DeepEqual(s.Cache, t.Cache):
return "Cache configuration differs"
case !reflect.DeepEqual(s.Notify.AMQP, t.Notify.AMQP):
return "AMQP Notification configuration differs"
case !reflect.DeepEqual(s.Notify.NATS, t.Notify.NATS):
@@ -252,57 +252,6 @@ func newConfig() error {
return globalServerConfig.Save()
}
// doCheckDupJSONKeys recursively detects duplicate json keys
func doCheckDupJSONKeys(key, value gjson.Result) error {
// Key occurrences map of the current scope to count
// if there is any duplicated json key.
keysOcc := make(map[string]int)
// Holds the found error
var checkErr error
// Iterate over keys in the current json scope
value.ForEach(func(k, v gjson.Result) bool {
// If current key is not null, check if its
// value contains some duplicated keys.
if k.Type != gjson.Null {
keysOcc[k.String()]++
checkErr = doCheckDupJSONKeys(k, v)
}
return checkErr == nil
})
// Check found err
if checkErr != nil {
return errors.New(key.String() + " => " + checkErr.Error())
}
// Check for duplicated keys
for k, v := range keysOcc {
if v > 1 {
return errors.New(key.String() + " => `" + k + "` entry is duplicated")
}
}
return nil
}
// Check recursively if a key is duplicated in the same json scope
// e.g.:
// `{ "key" : { "key" ..` is accepted
// `{ "key" : { "subkey" : "val1", "subkey": "val2" ..` throws subkey duplicated error
func checkDupJSONKeys(json string) error {
// Parse config with gjson library
config := gjson.Parse(json)
// Create a fake rootKey since root json doesn't seem to have representation
// in gjson library.
rootKey := gjson.Result{Type: gjson.String, Str: minioConfigFile}
// Check if loaded json contains any duplicated keys
return doCheckDupJSONKeys(rootKey, config)
}
// getValidConfig - returns valid server configuration
func getValidConfig() (*serverConfig, error) {
srvCfg := &serverConfig{
@@ -310,8 +259,7 @@ func getValidConfig() (*serverConfig, error) {
Browser: true,
}
configFile := getConfigFile()
if _, err := quick.Load(configFile, srvCfg); err != nil {
if _, err := quick.Load(getConfigFile(), srvCfg); err != nil {
return nil, err
}
@@ -319,21 +267,11 @@ func getValidConfig() (*serverConfig, error) {
return nil, fmt.Errorf("configuration version mismatch. Expected: ‘%s’, Got: ‘%s’", serverConfigVersion, srvCfg.Version)
}
// Load config file json and check for duplication json keys
jsonBytes, err := ioutil.ReadFile(configFile)
if err != nil {
return nil, err
}
if err = checkDupJSONKeys(string(jsonBytes)); err != nil {
return nil, err
}
// Validate credential fields only when
// they are not set via the environment
// Error out if global is env credential is not set and config has invalid credential
if !globalIsEnvCreds && !srvCfg.Credential.IsValid() {
return nil, errors.New("invalid credential in config file " + configFile)
return nil, errors.New("invalid credential in config file " + getConfigFile())
}
return srvCfg, nil
-29
View File
@@ -24,7 +24,6 @@ import (
"github.com/minio/minio/pkg/auth"
"github.com/minio/minio/pkg/event/target"
"github.com/tidwall/gjson"
)
func TestServerConfig(t *testing.T) {
@@ -126,34 +125,6 @@ func TestServerConfigWithEnvs(t *testing.T) {
}
}
func TestCheckDupJSONKeys(t *testing.T) {
testCases := []struct {
json string
shouldPass bool
}{
{`{}`, true},
{`{"version" : "13"}`, true},
{`{"version" : "13", "version": "14"}`, false},
{`{"version" : "13", "credential": {"accessKey": "12345"}}`, true},
{`{"version" : "13", "credential": {"accessKey": "12345", "accessKey":"12345"}}`, false},
{`{"version" : "13", "notify": {"amqp": {"1"}, "webhook":{"3"}}}`, true},
{`{"version" : "13", "notify": {"amqp": {"1"}, "amqp":{"3"}}}`, false},
{`{"version" : "13", "notify": {"amqp": {"1":{}, "2":{}}}}`, true},
{`{"version" : "13", "notify": {"amqp": {"1":{}, "1":{}}}}`, false},
}
for i, testCase := range testCases {
err := doCheckDupJSONKeys(gjson.Result{}, gjson.Parse(testCase.json))
if testCase.shouldPass && err != nil {
t.Errorf("Test %d, should pass but it failed with err = %v", i+1, err)
}
if !testCase.shouldPass && err == nil {
t.Errorf("Test %d, should fail but it succeed.", i+1)
}
}
}
// Tests config validator..
func TestValidateConfig(t *testing.T) {
rootPath, err := newTestConfig(globalMinioDefaultRegion)
+4 -1
View File
@@ -580,7 +580,10 @@ type serverConfigV22 struct {
Notify notifier `json:"notify"`
}
// serverConfigV23 is just like version '22' with addition of cache field
// serverConfigV23 is just like version '22' with addition of cache field.
//
// IMPORTANT NOTE: When updating this struct make sure that
// serverConfig.ConfigDiff() is updated as necessary.
type serverConfigV23 struct {
Version string `json:"version"`
-1
View File
@@ -37,7 +37,6 @@ import (
const (
// cache.json object metadata for cached objects.
cacheMetaJSONFile = "cache.json"
cacheMetaFormat = "cache"
cacheEnvDelimiter = ";"
)
-9
View File
@@ -87,15 +87,6 @@ func newFormatCacheV1(drives []string) []*formatCacheV1 {
return formats
}
// Returns format.Cache.Version
func formatCacheGetVersion(r io.ReadSeeker) (string, error) {
format := &formatCacheVersionDetect{}
if err := jsonLoad(r, format); err != nil {
return "", err
}
return format.Cache.Version, nil
}
// Creates a new cache format.json if unformatted.
func createFormatCache(fsFormatPath string, format *formatCacheV1) error {
// open file using READ & WRITE permission
+10
View File
@@ -18,10 +18,20 @@ package cmd
import (
"context"
"io"
"os"
"testing"
)
// Returns format.Cache.Version
func formatCacheGetVersion(r io.ReadSeeker) (string, error) {
format := &formatCacheVersionDetect{}
if err := jsonLoad(r, format); err != nil {
return "", err
}
return format.Cache.Version, nil
}
// TestDiskCacheFormat - tests initFormatCache, formatMetaGetFormatBackendCache, formatCacheGetVersion.
func TestDiskCacheFormat(t *testing.T) {
ctx := context.Background()
-8
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@@ -202,14 +202,6 @@ func parseFSVersion(fsMetaBuf []byte) string {
return gjson.GetBytes(fsMetaBuf, "version").String()
}
func parseFSFormat(fsMetaBuf []byte) string {
return gjson.GetBytes(fsMetaBuf, "format").String()
}
func parseFSRelease(fsMetaBuf []byte) string {
return gjson.GetBytes(fsMetaBuf, "minio.release").String()
}
func parseFSMetaMap(fsMetaBuf []byte) map[string]string {
// Get xlMetaV1.Meta map.
metaMapResult := gjson.GetBytes(fsMetaBuf, "meta").Map()
+1 -1
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@@ -209,7 +209,7 @@ func StartGateway(ctx *cli.Context, gw Gateway) {
// Print a warning message if gateway is not ready for production before the startup banner.
if !gw.Production() {
logger.StartupMessage(colorYellow("\n *** Warning: Not Ready for Production ***"))
logger.StartupMessage(colorYellow(" *** Warning: Not Ready for Production ***"))
}
// Print gateway startup message.
+47 -9
View File
@@ -758,18 +758,57 @@ func (l *gcsGateway) GetObject(ctx context.Context, bucket string, key string, s
func fromGCSAttrsToObjectInfo(attrs *storage.ObjectAttrs) minio.ObjectInfo {
// All google cloud storage objects have a CRC32c hash, whereas composite objects may not have a MD5 hash
// Refer https://cloud.google.com/storage/docs/hashes-etags. Use CRC32C for ETag
metadata := make(map[string]string)
for k, v := range attrs.Metadata {
metadata[k] = v
}
if attrs.ContentType != "" {
metadata["content-type"] = attrs.ContentType
}
if attrs.ContentEncoding != "" {
metadata["content-encoding"] = attrs.ContentEncoding
}
if attrs.CacheControl != "" {
metadata["cache-control"] = attrs.CacheControl
}
if attrs.ContentDisposition != "" {
metadata["content-disposition"] = attrs.ContentDisposition
}
if attrs.ContentLanguage != "" {
metadata["content-language"] = attrs.ContentLanguage
}
return minio.ObjectInfo{
Name: attrs.Name,
Bucket: attrs.Bucket,
ModTime: attrs.Updated,
Size: attrs.Size,
ETag: minio.ToS3ETag(fmt.Sprintf("%d", attrs.CRC32C)),
UserDefined: attrs.Metadata,
UserDefined: metadata,
ContentType: attrs.ContentType,
ContentEncoding: attrs.ContentEncoding,
}
}
// applyMetadataToGCSAttrs applies metadata to a GCS ObjectAttrs instance
func applyMetadataToGCSAttrs(metadata map[string]string, attrs *storage.ObjectAttrs) {
attrs.ContentType = metadata["content-type"]
attrs.ContentEncoding = metadata["content-encoding"]
attrs.CacheControl = metadata["cache-control"]
attrs.ContentDisposition = metadata["content-disposition"]
attrs.ContentLanguage = metadata["content-language"]
attrs.Metadata = make(map[string]string)
for k, v := range metadata {
attrs.Metadata[k] = v
}
// Filter metadata which is stored as a unique attribute
for _, key := range []string{
"content-type", "content-encoding", "cache-control", "content-disposition", "content-language",
} {
delete(attrs.Metadata, key)
}
}
// GetObjectInfo - reads object info and replies back ObjectInfo
func (l *gcsGateway) GetObjectInfo(ctx context.Context, bucket string, object string) (minio.ObjectInfo, error) {
// if we want to mimic S3 behavior exactly, we need to verify if bucket exists first,
@@ -800,10 +839,7 @@ func (l *gcsGateway) PutObject(ctx context.Context, bucket string, key string, d
object := l.client.Bucket(bucket).Object(key)
w := object.NewWriter(l.ctx)
w.ContentType = metadata["content-type"]
w.ContentEncoding = metadata["content-encoding"]
w.Metadata = metadata
applyMetadataToGCSAttrs(metadata, &w.ObjectAttrs)
if _, err := io.Copy(w, data); err != nil {
// Close the object writer upon error.
@@ -832,7 +868,7 @@ func (l *gcsGateway) CopyObject(ctx context.Context, srcBucket string, srcObject
dst := l.client.Bucket(destBucket).Object(destObject)
copier := dst.CopierFrom(src)
copier.ObjectAttrs.Metadata = srcInfo.UserDefined
applyMetadataToGCSAttrs(srcInfo.UserDefined, &copier.ObjectAttrs)
attrs, err := copier.Run(l.ctx)
if err != nil {
@@ -865,9 +901,7 @@ func (l *gcsGateway) NewMultipartUpload(ctx context.Context, bucket string, key
w := l.client.Bucket(bucket).Object(meta).NewWriter(l.ctx)
defer w.Close()
w.ContentType = metadata["content-type"]
w.ContentEncoding = metadata["content-encoding"]
w.Metadata = metadata
applyMetadataToGCSAttrs(metadata, &w.ObjectAttrs)
if err = json.NewEncoder(w).Encode(gcsMultipartMetaV1{
gcsMinioMultipartMetaCurrentVersion,
@@ -1076,6 +1110,10 @@ func (l *gcsGateway) CompleteMultipartUpload(ctx context.Context, bucket string,
composer := l.client.Bucket(bucket).Object(key).ComposerFrom(parts...)
composer.ContentType = partZeroAttrs.ContentType
composer.ContentEncoding = partZeroAttrs.ContentEncoding
composer.CacheControl = partZeroAttrs.CacheControl
composer.ContentDisposition = partZeroAttrs.ContentDisposition
composer.ContentLanguage = partZeroAttrs.ContentLanguage
composer.Metadata = partZeroAttrs.Metadata
attrs, err := composer.Run(l.ctx)
if err != nil {
+12 -3
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@@ -18,6 +18,7 @@ package s3
import (
"context"
"encoding/json"
"io"
"github.com/minio/cli"
@@ -428,7 +429,11 @@ func (l *s3Objects) CompleteMultipartUpload(ctx context.Context, bucket string,
// SetBucketPolicy sets policy on bucket
func (l *s3Objects) SetBucketPolicy(ctx context.Context, bucket string, policyInfo policy.BucketAccessPolicy) error {
if err := l.Client.PutBucketPolicy(bucket, policyInfo); err != nil {
data, err := json.Marshal(&policyInfo)
if err != nil {
return err
}
if err := l.Client.SetBucketPolicy(bucket, string(data)); err != nil {
logger.LogIf(ctx, err)
return minio.ErrorRespToObjectError(err, bucket, "")
}
@@ -438,17 +443,21 @@ func (l *s3Objects) SetBucketPolicy(ctx context.Context, bucket string, policyIn
// GetBucketPolicy will get policy on bucket
func (l *s3Objects) GetBucketPolicy(ctx context.Context, bucket string) (policy.BucketAccessPolicy, error) {
policyInfo, err := l.Client.GetBucketPolicy(bucket)
data, err := l.Client.GetBucketPolicy(bucket)
if err != nil {
logger.LogIf(ctx, err)
return policy.BucketAccessPolicy{}, minio.ErrorRespToObjectError(err, bucket, "")
}
var policyInfo policy.BucketAccessPolicy
if err = json.Unmarshal([]byte(data), &policyInfo); err != nil {
return policyInfo, err
}
return policyInfo, nil
}
// DeleteBucketPolicy deletes all policies on bucket
func (l *s3Objects) DeleteBucketPolicy(ctx context.Context, bucket string) error {
if err := l.Client.PutBucketPolicy(bucket, policy.BucketAccessPolicy{}); err != nil {
if err := l.Client.SetBucketPolicy(bucket, ""); err != nil {
logger.LogIf(ctx, err)
return minio.ErrorRespToObjectError(err, bucket, "")
}
+5 -3
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@@ -163,9 +163,11 @@ func (g *Sia) NewGatewayLayer(creds auth.Credentials) (minio.ObjectLayer, error)
colorBlue := color.New(color.FgBlue).SprintfFunc()
colorBold := color.New(color.Bold).SprintFunc()
logger.StartupMessage(colorBlue("\nSia Gateway Configuration:"))
logger.StartupMessage(colorBlue(" Sia Daemon API Address:") + colorBold(fmt.Sprintf(" %s\n", sia.Address)))
logger.StartupMessage(colorBlue(" Sia Temp Directory:") + colorBold(fmt.Sprintf(" %s\n", sia.TempDir)))
formatStr := "%" + fmt.Sprintf("%ds", len(sia.Address)+7)
logger.StartupMessage(colorBlue("\nSia Configuration:"))
logger.StartupMessage(colorBlue(" API Address:") + colorBold(fmt.Sprintf(formatStr, sia.Address)))
logger.StartupMessage(colorBlue(" Staging Directory:") + colorBold(fmt.Sprintf(" %s", sia.TempDir)))
return sia, nil
}
+12 -2
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@@ -205,6 +205,17 @@ func guessIsHealthCheckReq(req *http.Request) bool {
req.URL.Path == healthCheckPathPrefix+healthCheckReadinessPath)
}
// guessIsMetricsReq - returns true if incoming request looks
// like metrics request
func guessIsMetricsReq(req *http.Request) bool {
if req == nil {
return false
}
aType := getRequestAuthType(req)
return aType == authTypeAnonymous &&
req.URL.Path == minioReservedBucketPath+prometheusMetricsPath
}
// guessIsRPCReq - returns true if the request is for an RPC endpoint.
func guessIsRPCReq(req *http.Request) bool {
if req == nil {
@@ -275,7 +286,7 @@ func setReservedBucketHandler(h http.Handler) http.Handler {
func (h minioReservedBucketHandler) ServeHTTP(w http.ResponseWriter, r *http.Request) {
switch {
case guessIsRPCReq(r), guessIsBrowserReq(r), guessIsHealthCheckReq(r), isAdminReq(r):
case guessIsRPCReq(r), guessIsBrowserReq(r), guessIsHealthCheckReq(r), guessIsMetricsReq(r), isAdminReq(r):
// Allow access to reserved buckets
default:
// For all other requests reject access to reserved
@@ -637,7 +648,6 @@ func addSecurityHeaders(h http.Handler) http.Handler {
func (s securityHeaderHandler) ServeHTTP(w http.ResponseWriter, r *http.Request) {
header := w.Header()
header.Set("X-XSS-Protection", "\"1; mode=block\"") // Prevents against XSS attacks
header.Set("X-Frame-Options", "SAMEORIGIN") // Prevents against Clickjacking
header.Set("Content-Security-Policy", "block-all-mixed-content") // prevent mixed (HTTP / HTTPS content)
s.handler.ServeHTTP(w, r)
}
-1
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@@ -191,7 +191,6 @@ var (
colorBold = color.New(color.Bold).SprintFunc()
colorBlue = color.New(color.FgBlue).SprintfFunc()
colorYellow = color.New(color.FgYellow).SprintfFunc()
colorRed = color.New(color.FgRed).SprintfFunc()
)
// Returns minio global information, as a key value map.
-6
View File
@@ -18,7 +18,6 @@ package cmd
import (
"crypto/md5"
"encoding/base64"
"encoding/hex"
"github.com/minio/sha256-simd"
@@ -47,8 +46,3 @@ func getMD5Sum(data []byte) []byte {
func getMD5Hash(data []byte) string {
return hex.EncodeToString(getMD5Sum(data))
}
// getMD5HashBase64 returns MD5 hash in base64 encoding of given data.
func getMD5HashBase64(data []byte) string {
return base64.StdEncoding.EncodeToString(getMD5Sum(data))
}
+6
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@@ -21,6 +21,8 @@ import (
"net/http"
"time"
"github.com/prometheus/client_golang/prometheus"
"go.uber.org/atomic"
)
@@ -188,6 +190,10 @@ func (st *HTTPStats) updateStats(r *http.Request, w *httpResponseRecorder, durat
st.successDELETEs.Duration.Add(durationSecs)
}
}
// Increment the prometheus http request count with appropriate label
httpRequests.With(prometheus.Labels{"request_type": r.Method}).Inc()
// Increment the prometheus http request response histogram with appropriate label
httpRequestsDuration.With(prometheus.Labels{"request_type": r.Method}).Observe(durationSecs)
}
// Prepare new HTTPStats structure
+5 -6
View File
@@ -28,14 +28,13 @@ import (
"time"
"github.com/fatih/color"
"github.com/minio/mc/pkg/console"
c "github.com/minio/mc/pkg/console"
)
// global colors.
var (
colorBold = color.New(color.Bold).SprintFunc()
colorYellow = color.New(color.FgYellow).SprintfFunc()
colorRed = color.New(color.FgRed).SprintfFunc()
colorBold = color.New(color.Bold).SprintFunc()
colorRed = color.New(color.FgRed).SprintfFunc()
)
var trimStrings []string
@@ -377,7 +376,7 @@ func (i infoMsg) quiet(msg string, args ...interface{}) {
}
func (i infoMsg) pretty(msg string, args ...interface{}) {
console.Printf(msg, args...)
c.Printf(msg, args...)
}
// Info :
@@ -397,7 +396,7 @@ func (s startUpMsg) quiet(msg string, args ...interface{}) {
}
func (s startUpMsg) pretty(msg string, args ...interface{}) {
console.Printf(msg, args...)
c.Printf(msg, args...)
}
// StartupMessage :
+33
View File
@@ -0,0 +1,33 @@
/*
* Minio Cloud Storage, (C) 2018 Minio, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package cmd
import (
router "github.com/gorilla/mux"
"github.com/prometheus/client_golang/prometheus"
)
const (
prometheusMetricsPath = "/prometheus/metrics"
)
// registerMetricsRouter - add handler functions for metrics.
func registerMetricsRouter(mux *router.Router) {
// metrics router
metricsRouter := mux.NewRoute().PathPrefix(minioReservedBucketPath).Subrouter()
metricsRouter.Handle(prometheusMetricsPath, metricsHandler(prometheus.Handler()))
}
+129
View File
@@ -0,0 +1,129 @@
/*
* Minio Cloud Storage, (C) 2018 Minio, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package cmd
import (
"context"
"net/http"
"github.com/prometheus/client_golang/prometheus"
)
var (
httpRequests = prometheus.NewCounterVec(
prometheus.CounterOpts{
Name: "minio_http_requests_total",
Help: "Total number of requests served by current Minio server instance",
},
[]string{"request_type"},
)
httpRequestsDuration = prometheus.NewHistogramVec(
prometheus.HistogramOpts{
Name: "minio_http_requests_duration_seconds",
Help: "Time taken by requests served by current Minio server instance",
Buckets: []float64{.001, .003, .005, .1, .5, 1},
},
[]string{"request_type"},
)
networkSentBytes = prometheus.NewGauge(
prometheus.GaugeOpts{
Name: "minio_network_sent_bytes",
Help: "Total number of bytes sent by current Minio server instance",
},
)
networkReceivedBytes = prometheus.NewGauge(
prometheus.GaugeOpts{
Name: "minio_network_received_bytes",
Help: "Total number of bytes received by current Minio server instance",
},
)
onlineMinioDisks = prometheus.NewGauge(
prometheus.GaugeOpts{
Name: "minio_online_disks_total",
Help: "Total number of online disks for current Minio server instance",
},
)
offlineMinioDisks = prometheus.NewGauge(
prometheus.GaugeOpts{
Name: "minio_offline_disks_total",
Help: "Total number of offline disks for current Minio server instance",
},
)
serverUptime = prometheus.NewGauge(
prometheus.GaugeOpts{
Name: "minio_server_uptime_seconds",
Help: "Time elapsed since current Minio server instance started",
},
)
minioStorageTotal = prometheus.NewGauge(
prometheus.GaugeOpts{
Name: "minio_disk_storage_bytes",
Help: "Total disk storage available to current Minio server instance",
},
)
minioStorageFree = prometheus.NewGauge(
prometheus.GaugeOpts{
Name: "minio_disk_storage_free_bytes",
Help: "Total free disk storage available to current Minio server instance",
},
)
)
func init() {
prometheus.MustRegister(httpRequests)
prometheus.MustRegister(httpRequestsDuration)
prometheus.MustRegister(networkSentBytes)
prometheus.MustRegister(networkReceivedBytes)
prometheus.MustRegister(onlineMinioDisks)
prometheus.MustRegister(offlineMinioDisks)
prometheus.MustRegister(serverUptime)
prometheus.MustRegister(minioStorageTotal)
prometheus.MustRegister(minioStorageFree)
}
func updateGeneralMetrics() {
// Increment server uptime
serverUptime.Set(UTCNow().Sub(globalBootTime).Seconds())
// Fetch disk space info
objLayer := newObjectLayerFn()
// Service not initialized yet
if objLayer == nil {
return
}
// Update total/free disk space
s := objLayer.StorageInfo(context.Background())
minioStorageTotal.Set(float64(s.Total))
minioStorageFree.Set(float64(s.Free))
// Update online/offline disks
onlineMinioDisks.Set(float64(s.Backend.OnlineDisks))
offlineMinioDisks.Set(float64(s.Backend.OfflineDisks))
// Update prometheus metric
networkSentBytes.Set(float64(globalConnStats.getTotalOutputBytes()))
networkReceivedBytes.Set(float64(globalConnStats.getTotalInputBytes()))
}
func metricsHandler(h http.Handler) http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
// Update generic metrics before handling the prometheus scrape request
updateGeneralMetrics()
prometheus.Handler().ServeHTTP(w, r)
})
}
+3
View File
@@ -119,6 +119,9 @@ func configureServerHandler(endpoints EndpointList) (http.Handler, error) {
// Add healthcheck router
registerHealthCheckRouter(mux)
// Add server metrics router
registerMetricsRouter(mux)
// Register web router when its enabled.
if globalIsBrowserEnabled {
if err := registerWebRouter(mux); err != nil {
+3 -14
View File
@@ -96,26 +96,15 @@ EXAMPLES:
$ export MINIO_DOMAIN=mydomain.com
$ {{.HelpName}} --address mydomain.com:9000 /mnt/export
3. Start minio server on a 12 disks server.
$ {{.HelpName}} /mnt/export1/ /mnt/export2/ /mnt/export3/ /mnt/export4/ \
/mnt/export5/ /mnt/export6/ /mnt/export7/ /mnt/export8/ /mnt/export9/ \
/mnt/export10/ /mnt/export11/ /mnt/export12/
4. Start distributed minio server on a 4 node setup with 1 drive each. Run following commands on all the 4 nodes.
$ export MINIO_ACCESS_KEY=minio
$ export MINIO_SECRET_KEY=miniostorage
$ {{.HelpName}} http://192.168.1.11/mnt/export/ http://192.168.1.12/mnt/export/ \
http://192.168.1.13/mnt/export/ http://192.168.1.14/mnt/export/
5. Start minio server on 64 disks server.
4. Start minio server on 64 disks server.
$ {{.HelpName}} /mnt/export{1...64}
6. Start distributed minio server on an 8 node setup with 8 drives each. Run following command on all the 8 nodes.
5. Start distributed minio server on an 8 node setup with 8 drives each. Run following command on all the 8 nodes.
$ export MINIO_ACCESS_KEY=minio
$ export MINIO_SECRET_KEY=miniostorage
$ {{.HelpName}} http://node{1...8}.example.com/mnt/export/{1...8}
7. Start minio server with edge caching enabled.
6. Start minio server with edge caching enabled.
$ export MINIO_CACHE_DRIVES="/mnt/drive1;/mnt/drive2;/mnt/drive3;/mnt/drive4"
$ export MINIO_CACHE_EXCLUDE="bucket1/*;*.png"
$ export MINIO_CACHE_EXPIRY=40
+5
View File
@@ -1157,6 +1157,11 @@ func getCredentialString(accessKeyID, location string, t time.Time) string {
return accessKeyID + "/" + getScope(t, location)
}
// getMD5HashBase64 returns MD5 hash in base64 encoding of given data.
func getMD5HashBase64(data []byte) string {
return base64.StdEncoding.EncodeToString(getMD5Sum(data))
}
// Returns new HTTP request object.
func newTestRequest(method, urlStr string, contentLength int64, body io.ReadSeeker) (*http.Request, error) {
if method == "" {
+18 -6
View File
@@ -81,6 +81,12 @@ var (
minioReleaseURL + "minio.sha256sum",
minioReleaseURL + "minio.shasum",
}
// For windows our files have .exe additionally.
minioReleaseWindowsInfoURLs = []string{
minioReleaseURL + "minio.exe.sha256sum",
minioReleaseURL + "minio.exe.shasum",
}
)
// minioVersionToReleaseTime - parses a standard official release
@@ -334,13 +340,19 @@ func downloadReleaseURL(releaseChecksumURL string, timeout time.Duration, mode s
// DownloadReleaseData - downloads release data from minio official server.
func DownloadReleaseData(timeout time.Duration, mode string) (data string, err error) {
for _, url := range minioReleaseInfoURLs {
data, err = downloadReleaseURL(url, timeout, mode)
if err == nil {
return data, err
}
releaseURLs := minioReleaseInfoURLs
if runtime.GOOS == globalWindowsOSName {
releaseURLs = minioReleaseWindowsInfoURLs
}
return data, fmt.Errorf("Failed to fetch release URL - last error: %s", err)
return func() (data string, err error) {
for _, url := range releaseURLs {
data, err = downloadReleaseURL(url, timeout, mode)
if err == nil {
return data, nil
}
}
return data, fmt.Errorf("Failed to fetch release URL - last error: %s", err)
}()
}
// parseReleaseData - parses release info file content fetched from
-13
View File
@@ -23,7 +23,6 @@ import (
"encoding/base64"
"encoding/json"
"encoding/xml"
"errors"
"fmt"
"io"
"net"
@@ -232,18 +231,6 @@ func isFile(path string) bool {
return false
}
// checkURL - checks if passed address correspond
func checkURL(urlStr string) (*url.URL, error) {
if urlStr == "" {
return nil, errors.New("Address cannot be empty")
}
u, err := url.Parse(urlStr)
if err != nil {
return nil, fmt.Errorf("`%s` invalid: %s", urlStr, err.Error())
}
return u, nil
}
// UTCNow - returns current UTC time.
func UTCNow() time.Time {
return time.Now().UTC()
+12
View File
@@ -233,6 +233,18 @@ func TestStartProfiler(t *testing.T) {
}
}
// checkURL - checks if passed address correspond
func checkURL(urlStr string) (*url.URL, error) {
if urlStr == "" {
return nil, errors.New("Address cannot be empty")
}
u, err := url.Parse(urlStr)
if err != nil {
return nil, fmt.Errorf("`%s` invalid: %s", urlStr, err.Error())
}
return u, nil
}
// TestCheckURL tests valid url.
func TestCheckURL(t *testing.T) {
testCases := []struct {
-11
View File
@@ -369,17 +369,6 @@ func shuffleDisks(disks []StorageAPI, distribution []int) (shuffledDisks []Stora
return shuffledDisks
}
// unshuffleIndex - performs reverse of the shuffleDisks operations
// for a single 0-based index.
func unshuffleIndex(n int, distribution []int) int {
for i, v := range distribution {
if v-1 == n {
return i
}
}
return -1
}
// evalDisks - returns a new slice of disks where nil is set if
// the corresponding error in errs slice is not nil
func evalDisks(disks []StorageAPI, errs []error) []StorageAPI {
+38
View File
@@ -0,0 +1,38 @@
## Minio Prometheus Metric
Minio server exposes an endpoint for Promethueus to scrape server data at `/minio/metric`.
### Prometheus probe
Prometheus is used to monitor Minio server information like http request, disk storage, network stats etc.. It uses a config file named `prometheus.yaml` to scrape data from server. The value for `metrics_path` and `targets` need to be configured in the config yaml to specify the endpoint and url as shown:
```
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: minio
metrics_path: /minio/prometheus/metrics
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ['localhost:9000']
```
Prometheus can be run by executing :
```
./prometheus --config.file=prometheus.yml
```
### List of Minio metric exposed
Minio exposes the following list of metric to Prometheus
```
minio_disk_storage_bytes
minio_disk_storage_free_bytes
minio_http_requests_duration_seconds_bucket
minio_http_requests_duration_seconds_count
minio_http_requests_duration_seconds_sum
minio_http_requests_total
minio_network_received_bytes
minio_network_sent_bytes
minio_offline_disks_total
minio_online_disks_total
minio_server_uptime_seconds
```
@@ -5,7 +5,7 @@ version: '2'
# 9001 through 9004.
services:
minio1:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- data1:/data
ports:
@@ -15,7 +15,7 @@ services:
MINIO_SECRET_KEY: minio123
command: server http://minio1/data http://minio2/data http://minio3/data http://minio4/data
minio2:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- data2:/data
ports:
@@ -25,7 +25,7 @@ services:
MINIO_SECRET_KEY: minio123
command: server http://minio1/data http://minio2/data http://minio3/data http://minio4/data
minio3:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- data3:/data
ports:
@@ -35,7 +35,7 @@ services:
MINIO_SECRET_KEY: minio123
command: server http://minio1/data http://minio2/data http://minio3/data http://minio4/data
minio4:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- data4:/data
ports:
@@ -2,7 +2,7 @@ version: '3.1'
services:
minio1:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio1-data:/export
ports:
@@ -20,7 +20,7 @@ services:
- access_key
minio2:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio2-data:/export
ports:
@@ -38,7 +38,7 @@ services:
- access_key
minio3:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio3-data:/export
ports:
@@ -56,7 +56,7 @@ services:
- access_key
minio4:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio4-data:/export
ports:
@@ -2,7 +2,7 @@ version: '3'
services:
minio1:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio1-data:/export
ports:
@@ -20,7 +20,7 @@ services:
command: server http://minio1/export http://minio2/export http://minio3/export http://minio4/export
minio2:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio2-data:/export
ports:
@@ -38,7 +38,7 @@ services:
command: server http://minio1/export http://minio2/export http://minio3/export http://minio4/export
minio3:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio3-data:/export
ports:
@@ -56,7 +56,7 @@ services:
command: server http://minio1/export http://minio2/export http://minio3/export http://minio4/export
minio4:
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
volumes:
- minio4-data:/export
ports:
+3 -3
View File
@@ -123,7 +123,7 @@ spec:
- name: data
mountPath: "/data"
# Pulls the lastest Minio image from Docker Hub
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
args:
- server
- /data
@@ -302,7 +302,7 @@ spec:
value: "minio"
- name: MINIO_SECRET_KEY
value: "minio123"
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
args:
- server
- http://minio-0.minio.default.svc.cluster.local/data
@@ -484,7 +484,7 @@ spec:
containers:
- name: minio
# Pulls the default Minio image from Docker Hub
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
args:
- gateway
- gcs
@@ -21,7 +21,7 @@ spec:
value: "minio"
- name: MINIO_SECRET_KEY
value: "minio123"
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
args:
- server
- http://minio-0.minio.default.svc.cluster.local/data
@@ -21,7 +21,7 @@ spec:
containers:
- name: minio
# Pulls the default Minio image from Docker Hub
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
args:
- gateway
- gcs
@@ -29,7 +29,7 @@ spec:
- name: data
mountPath: "/data"
# Pulls the lastest Minio image from Docker Hub
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
args:
- server
- /data
+1 -1
View File
@@ -30,7 +30,7 @@ Above command deploys Minio on the Kubernetes cluster in the default configurati
| Parameter | Description | Default |
|----------------------------|-------------------------------------|---------------------------------------------------------|
| `image` | Minio image name | `minio/minio` |
| `imageTag` | Minio image tag. Possible values listed [here](https://hub.docker.com/r/minio/minio/tags/).| `RELEASE.2018-04-04T05-20-54Z`|
| `imageTag` | Minio image tag. Possible values listed [here](https://hub.docker.com/r/minio/minio/tags/).| `RELEASE.2018-04-12T23-41-09Z`|
| `imagePullPolicy` | Image pull policy | `Always` |
| `mode` | Minio server mode (`standalone`, `shared` or `distributed`)| `standalone` |
| `numberOfNodes` | Number of nodes (applicable only for Minio distributed mode). Should be 4 <= x <= 16 | `4` |
+1 -1
View File
@@ -54,7 +54,7 @@ spec:
value: "minio"
- name: MINIO_SECRET_KEY
value: "minio123"
image: minio/minio:RELEASE.2018-04-04T05-20-54Z
image: minio/minio:RELEASE.2018-04-12T23-41-09Z
imagePullPolicy: IfNotPresent
args: ["server", "http://minio-0.minio.default.svc.cluster.local/data", "http://minio-1.minio.default.svc.cluster.local/data", "http://minio-2.minio.default.svc.cluster.local/data", "http://minio-3.minio.default.svc.cluster.local/data"]
ports:
-1
View File
@@ -26,7 +26,6 @@ import (
var (
// De-facto standard header keys.
xForwardedFor = http.CanonicalHeaderKey("X-Forwarded-For")
xForwardedHost = http.CanonicalHeaderKey("X-Forwarded-Host")
xForwardedProto = http.CanonicalHeaderKey("X-Forwarded-Proto")
xForwardedScheme = http.CanonicalHeaderKey("X-Forwarded-Scheme")
xRealIP = http.CanonicalHeaderKey("X-Real-IP")
+5
View File
@@ -136,6 +136,11 @@ func loadFileConfig(filename string, v interface{}) error {
if runtime.GOOS == "windows" {
fileData = []byte(strings.Replace(string(fileData), "\r\n", "\n", -1))
}
if err = checkDupJSONKeys(string(fileData)); err != nil {
return err
}
// Unmarshal file's content
return toUnmarshaller(filepath.Ext(filename))(fileData, v)
}
+58
View File
@@ -21,10 +21,12 @@ package quick
import (
"bufio"
"bytes"
"errors"
"fmt"
"io"
"github.com/cheggaaa/pb"
"github.com/tidwall/gjson"
)
const errorFmt = "%5d: %s <<<<"
@@ -81,3 +83,59 @@ func FormatJSONSyntaxError(data io.Reader, offset int64) (highlight string) {
return fmt.Sprintf(errorFmt, errLine, readLine.String()[idx:])
}
// doCheckDupJSONKeys recursively detects duplicate json keys
func doCheckDupJSONKeys(key, value gjson.Result) error {
// Key occurrences map of the current scope to count
// if there is any duplicated json key.
keysOcc := make(map[string]int)
// Holds the found error
var checkErr error
// Iterate over keys in the current json scope
value.ForEach(func(k, v gjson.Result) bool {
// If current key is not null, check if its
// value contains some duplicated keys.
if k.Type != gjson.Null {
keysOcc[k.String()]++
checkErr = doCheckDupJSONKeys(k, v)
}
return checkErr == nil
})
// Check found err
if checkErr != nil {
return errors.New(key.String() + " => " + checkErr.Error())
}
// Check for duplicated keys
for k, v := range keysOcc {
if v > 1 {
return errors.New(key.String() + " => `" + k + "` entry is duplicated")
}
}
return nil
}
// Check recursively if a key is duplicated in the same json scope
// e.g.:
// `{ "key" : { "key" ..` is accepted
// `{ "key" : { "subkey" : "val1", "subkey": "val2" ..` throws subkey duplicated error
func checkDupJSONKeys(json string) error {
// Parse config with gjson library
config := gjson.Parse(json)
// Create a fake rootKey since root json doesn't seem to have representation
// in gjson library.
rootKey := gjson.Result{Type: gjson.String, Str: "config.json"}
// Check if loaded json contains any duplicated keys
return doCheckDupJSONKeys(rootKey, config)
}
// CheckDuplicateKeys - checks for duplicate entries in a JSON file
func CheckDuplicateKeys(json string) error {
return checkDupJSONKeys(json)
}
+30
View File
@@ -27,6 +27,8 @@ import (
"runtime"
"strings"
"testing"
"github.com/tidwall/gjson"
)
func TestReadVersion(t *testing.T) {
@@ -504,3 +506,31 @@ func TestDeepDiff(t *testing.T) {
// fmt.Printf("DeepDiff[%d]: %s=%v\n", i, field.Name(), field.Value())
// }
}
func TestCheckDupJSONKeys(t *testing.T) {
testCases := []struct {
json string
shouldPass bool
}{
{`{}`, true},
{`{"version" : "13"}`, true},
{`{"version" : "13", "version": "14"}`, false},
{`{"version" : "13", "credential": {"accessKey": "12345"}}`, true},
{`{"version" : "13", "credential": {"accessKey": "12345", "accessKey":"12345"}}`, false},
{`{"version" : "13", "notify": {"amqp": {"1"}, "webhook":{"3"}}}`, true},
{`{"version" : "13", "notify": {"amqp": {"1"}, "amqp":{"3"}}}`, false},
{`{"version" : "13", "notify": {"amqp": {"1":{}, "2":{}}}}`, true},
{`{"version" : "13", "notify": {"amqp": {"1":{}, "1":{}}}}`, false},
}
for i, testCase := range testCases {
err := doCheckDupJSONKeys(gjson.Result{}, gjson.Parse(testCase.json))
if testCase.shouldPass && err != nil {
t.Errorf("Test %d, should pass but it failed with err = %v", i+1, err)
}
if !testCase.shouldPass && err == nil {
t.Errorf("Test %d, should fail but it succeed.", i+1)
}
}
}
+20
View File
@@ -0,0 +1,20 @@
Copyright (C) 2013 Blake Mizerany
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
File diff suppressed because it is too large Load Diff
+316
View File
@@ -0,0 +1,316 @@
// Package quantile computes approximate quantiles over an unbounded data
// stream within low memory and CPU bounds.
//
// A small amount of accuracy is traded to achieve the above properties.
//
// Multiple streams can be merged before calling Query to generate a single set
// of results. This is meaningful when the streams represent the same type of
// data. See Merge and Samples.
//
// For more detailed information about the algorithm used, see:
//
// Effective Computation of Biased Quantiles over Data Streams
//
// http://www.cs.rutgers.edu/~muthu/bquant.pdf
package quantile
import (
"math"
"sort"
)
// Sample holds an observed value and meta information for compression. JSON
// tags have been added for convenience.
type Sample struct {
Value float64 `json:",string"`
Width float64 `json:",string"`
Delta float64 `json:",string"`
}
// Samples represents a slice of samples. It implements sort.Interface.
type Samples []Sample
func (a Samples) Len() int { return len(a) }
func (a Samples) Less(i, j int) bool { return a[i].Value < a[j].Value }
func (a Samples) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
type invariant func(s *stream, r float64) float64
// NewLowBiased returns an initialized Stream for low-biased quantiles
// (e.g. 0.01, 0.1, 0.5) where the needed quantiles are not known a priori, but
// error guarantees can still be given even for the lower ranks of the data
// distribution.
//
// The provided epsilon is a relative error, i.e. the true quantile of a value
// returned by a query is guaranteed to be within (1±Epsilon)*Quantile.
//
// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error
// properties.
func NewLowBiased(epsilon float64) *Stream {
ƒ := func(s *stream, r float64) float64 {
return 2 * epsilon * r
}
return newStream(ƒ)
}
// NewHighBiased returns an initialized Stream for high-biased quantiles
// (e.g. 0.01, 0.1, 0.5) where the needed quantiles are not known a priori, but
// error guarantees can still be given even for the higher ranks of the data
// distribution.
//
// The provided epsilon is a relative error, i.e. the true quantile of a value
// returned by a query is guaranteed to be within 1-(1±Epsilon)*(1-Quantile).
//
// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error
// properties.
func NewHighBiased(epsilon float64) *Stream {
ƒ := func(s *stream, r float64) float64 {
return 2 * epsilon * (s.n - r)
}
return newStream(ƒ)
}
// NewTargeted returns an initialized Stream concerned with a particular set of
// quantile values that are supplied a priori. Knowing these a priori reduces
// space and computation time. The targets map maps the desired quantiles to
// their absolute errors, i.e. the true quantile of a value returned by a query
// is guaranteed to be within (Quantile±Epsilon).
//
// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error properties.
func NewTargeted(targetMap map[float64]float64) *Stream {
// Convert map to slice to avoid slow iterations on a map.
// ƒ is called on the hot path, so converting the map to a slice
// beforehand results in significant CPU savings.
targets := targetMapToSlice(targetMap)
ƒ := func(s *stream, r float64) float64 {
var m = math.MaxFloat64
var f float64
for _, t := range targets {
if t.quantile*s.n <= r {
f = (2 * t.epsilon * r) / t.quantile
} else {
f = (2 * t.epsilon * (s.n - r)) / (1 - t.quantile)
}
if f < m {
m = f
}
}
return m
}
return newStream(ƒ)
}
type target struct {
quantile float64
epsilon float64
}
func targetMapToSlice(targetMap map[float64]float64) []target {
targets := make([]target, 0, len(targetMap))
for quantile, epsilon := range targetMap {
t := target{
quantile: quantile,
epsilon: epsilon,
}
targets = append(targets, t)
}
return targets
}
// Stream computes quantiles for a stream of float64s. It is not thread-safe by
// design. Take care when using across multiple goroutines.
type Stream struct {
*stream
b Samples
sorted bool
}
func newStream(ƒ invariant) *Stream {
x := &stream{ƒ: ƒ}
return &Stream{x, make(Samples, 0, 500), true}
}
// Insert inserts v into the stream.
func (s *Stream) Insert(v float64) {
s.insert(Sample{Value: v, Width: 1})
}
func (s *Stream) insert(sample Sample) {
s.b = append(s.b, sample)
s.sorted = false
if len(s.b) == cap(s.b) {
s.flush()
}
}
// Query returns the computed qth percentiles value. If s was created with
// NewTargeted, and q is not in the set of quantiles provided a priori, Query
// will return an unspecified result.
func (s *Stream) Query(q float64) float64 {
if !s.flushed() {
// Fast path when there hasn't been enough data for a flush;
// this also yields better accuracy for small sets of data.
l := len(s.b)
if l == 0 {
return 0
}
i := int(math.Ceil(float64(l) * q))
if i > 0 {
i -= 1
}
s.maybeSort()
return s.b[i].Value
}
s.flush()
return s.stream.query(q)
}
// Merge merges samples into the underlying streams samples. This is handy when
// merging multiple streams from separate threads, database shards, etc.
//
// ATTENTION: This method is broken and does not yield correct results. The
// underlying algorithm is not capable of merging streams correctly.
func (s *Stream) Merge(samples Samples) {
sort.Sort(samples)
s.stream.merge(samples)
}
// Reset reinitializes and clears the list reusing the samples buffer memory.
func (s *Stream) Reset() {
s.stream.reset()
s.b = s.b[:0]
}
// Samples returns stream samples held by s.
func (s *Stream) Samples() Samples {
if !s.flushed() {
return s.b
}
s.flush()
return s.stream.samples()
}
// Count returns the total number of samples observed in the stream
// since initialization.
func (s *Stream) Count() int {
return len(s.b) + s.stream.count()
}
func (s *Stream) flush() {
s.maybeSort()
s.stream.merge(s.b)
s.b = s.b[:0]
}
func (s *Stream) maybeSort() {
if !s.sorted {
s.sorted = true
sort.Sort(s.b)
}
}
func (s *Stream) flushed() bool {
return len(s.stream.l) > 0
}
type stream struct {
n float64
l []Sample
ƒ invariant
}
func (s *stream) reset() {
s.l = s.l[:0]
s.n = 0
}
func (s *stream) insert(v float64) {
s.merge(Samples{{v, 1, 0}})
}
func (s *stream) merge(samples Samples) {
// TODO(beorn7): This tries to merge not only individual samples, but
// whole summaries. The paper doesn't mention merging summaries at
// all. Unittests show that the merging is inaccurate. Find out how to
// do merges properly.
var r float64
i := 0
for _, sample := range samples {
for ; i < len(s.l); i++ {
c := s.l[i]
if c.Value > sample.Value {
// Insert at position i.
s.l = append(s.l, Sample{})
copy(s.l[i+1:], s.l[i:])
s.l[i] = Sample{
sample.Value,
sample.Width,
math.Max(sample.Delta, math.Floor(s.ƒ(s, r))-1),
// TODO(beorn7): How to calculate delta correctly?
}
i++
goto inserted
}
r += c.Width
}
s.l = append(s.l, Sample{sample.Value, sample.Width, 0})
i++
inserted:
s.n += sample.Width
r += sample.Width
}
s.compress()
}
func (s *stream) count() int {
return int(s.n)
}
func (s *stream) query(q float64) float64 {
t := math.Ceil(q * s.n)
t += math.Ceil(s.ƒ(s, t) / 2)
p := s.l[0]
var r float64
for _, c := range s.l[1:] {
r += p.Width
if r+c.Width+c.Delta > t {
return p.Value
}
p = c
}
return p.Value
}
func (s *stream) compress() {
if len(s.l) < 2 {
return
}
x := s.l[len(s.l)-1]
xi := len(s.l) - 1
r := s.n - 1 - x.Width
for i := len(s.l) - 2; i >= 0; i-- {
c := s.l[i]
if c.Width+x.Width+x.Delta <= s.ƒ(s, r) {
x.Width += c.Width
s.l[xi] = x
// Remove element at i.
copy(s.l[i:], s.l[i+1:])
s.l = s.l[:len(s.l)-1]
xi -= 1
} else {
x = c
xi = i
}
r -= c.Width
}
}
func (s *stream) samples() Samples {
samples := make(Samples, len(s.l))
copy(samples, s.l)
return samples
}
+201
View File
@@ -0,0 +1,201 @@
Apache License
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http://www.apache.org/licenses/
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APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "{}"
replaced with your own identifying information. (Don't include
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Copyright {yyyy} {name of copyright owner}
Licensed under the Apache License, Version 2.0 (the "License");
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Unless required by applicable law or agreed to in writing, software
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
+1
View File
@@ -0,0 +1 @@
Copyright 2012 Matt T. Proud (matt.proud@gmail.com)
@@ -0,0 +1,7 @@
all:
cover:
go test -cover -v -coverprofile=cover.dat ./...
go tool cover -func cover.dat
.PHONY: cover
@@ -0,0 +1,75 @@
// Copyright 2013 Matt T. Proud
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package pbutil
import (
"encoding/binary"
"errors"
"io"
"github.com/golang/protobuf/proto"
)
var errInvalidVarint = errors.New("invalid varint32 encountered")
// ReadDelimited decodes a message from the provided length-delimited stream,
// where the length is encoded as 32-bit varint prefix to the message body.
// It returns the total number of bytes read and any applicable error. This is
// roughly equivalent to the companion Java API's
// MessageLite#parseDelimitedFrom. As per the reader contract, this function
// calls r.Read repeatedly as required until exactly one message including its
// prefix is read and decoded (or an error has occurred). The function never
// reads more bytes from the stream than required. The function never returns
// an error if a message has been read and decoded correctly, even if the end
// of the stream has been reached in doing so. In that case, any subsequent
// calls return (0, io.EOF).
func ReadDelimited(r io.Reader, m proto.Message) (n int, err error) {
// Per AbstractParser#parsePartialDelimitedFrom with
// CodedInputStream#readRawVarint32.
var headerBuf [binary.MaxVarintLen32]byte
var bytesRead, varIntBytes int
var messageLength uint64
for varIntBytes == 0 { // i.e. no varint has been decoded yet.
if bytesRead >= len(headerBuf) {
return bytesRead, errInvalidVarint
}
// We have to read byte by byte here to avoid reading more bytes
// than required. Each read byte is appended to what we have
// read before.
newBytesRead, err := r.Read(headerBuf[bytesRead : bytesRead+1])
if newBytesRead == 0 {
if err != nil {
return bytesRead, err
}
// A Reader should not return (0, nil), but if it does,
// it should be treated as no-op (according to the
// Reader contract). So let's go on...
continue
}
bytesRead += newBytesRead
// Now present everything read so far to the varint decoder and
// see if a varint can be decoded already.
messageLength, varIntBytes = proto.DecodeVarint(headerBuf[:bytesRead])
}
messageBuf := make([]byte, messageLength)
newBytesRead, err := io.ReadFull(r, messageBuf)
bytesRead += newBytesRead
if err != nil {
return bytesRead, err
}
return bytesRead, proto.Unmarshal(messageBuf, m)
}
+16
View File
@@ -0,0 +1,16 @@
// Copyright 2013 Matt T. Proud
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package pbutil provides record length-delimited Protocol Buffer streaming.
package pbutil
@@ -0,0 +1,46 @@
// Copyright 2013 Matt T. Proud
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package pbutil
import (
"encoding/binary"
"io"
"github.com/golang/protobuf/proto"
)
// WriteDelimited encodes and dumps a message to the provided writer prefixed
// with a 32-bit varint indicating the length of the encoded message, producing
// a length-delimited record stream, which can be used to chain together
// encoded messages of the same type together in a file. It returns the total
// number of bytes written and any applicable error. This is roughly
// equivalent to the companion Java API's MessageLite#writeDelimitedTo.
func WriteDelimited(w io.Writer, m proto.Message) (n int, err error) {
buffer, err := proto.Marshal(m)
if err != nil {
return 0, err
}
var buf [binary.MaxVarintLen32]byte
encodedLength := binary.PutUvarint(buf[:], uint64(len(buffer)))
sync, err := w.Write(buf[:encodedLength])
if err != nil {
return sync, err
}
n, err = w.Write(buffer)
return n + sync, err
}
-1
View File
@@ -130,7 +130,6 @@ The full API Reference is available here.
### API Reference : Bucket policy Operations
* [`SetBucketPolicy`](https://docs.minio.io/docs/golang-client-api-reference#SetBucketPolicy)
* [`GetBucketPolicy`](https://docs.minio.io/docs/golang-client-api-reference#GetBucketPolicy)
* [`ListBucketPolicies`](https://docs.minio.io/docs/golang-client-api-reference#ListBucketPolicies)
### API Reference : Bucket notification Operations
* [`SetBucketNotification`](https://docs.minio.io/docs/golang-client-api-reference#SetBucketNotification)
-1
View File
@@ -141,7 +141,6 @@ mc ls play/mymusic/
### API文档 : 存储桶策略
* [`SetBucketPolicy`](https://docs.minio.io/docs/golang-client-api-reference#SetBucketPolicy)
* [`GetBucketPolicy`](https://docs.minio.io/docs/golang-client-api-reference#GetBucketPolicy)
* [`ListBucketPolicies`](https://docs.minio.io/docs/golang-client-api-reference#ListBucketPolicies)
### API文档 : 存储桶通知
* [`SetBucketNotification`](https://docs.minio.io/docs/golang-client-api-reference#SetBucketNotification)
+5 -38
View File
@@ -132,12 +132,6 @@ func NewSourceInfo(bucket, object string, sse encrypt.ServerSide) SourceInfo {
// Set the source header
r.Headers.Set("x-amz-copy-source", s3utils.EncodePath(bucket+"/"+object))
// Assemble decryption headers for upload-part-copy request
if r.encryption != nil {
encrypt.SSECopy(r.encryption).Marshal(r.Headers)
}
return r
}
@@ -197,7 +191,7 @@ func (s *SourceInfo) getProps(c Client) (size int64, etag string, userMeta map[s
// Get object info - need size and etag here. Also, decryption
// headers are added to the stat request if given.
var objInfo ObjectInfo
opts := StatObjectOptions{GetObjectOptions{ServerSideEncryption: s.encryption}}
opts := StatObjectOptions{GetObjectOptions{ServerSideEncryption: encrypt.SSE(s.encryption)}}
objInfo, err = c.statObject(context.Background(), s.bucket, s.object, opts)
if err != nil {
err = ErrInvalidArgument(fmt.Sprintf("Could not stat object - %s/%s: %v", s.bucket, s.object, err))
@@ -427,37 +421,7 @@ func (c Client) ComposeObject(dst DestinationInfo, srcs []SourceInfo) error {
// involved, it is being copied wholly and at most 5GiB in
// size, emptyfiles are also supported).
if (totalParts == 1 && srcs[0].start == -1 && totalSize <= maxPartSize) || (totalSize == 0) {
h := srcs[0].Headers
// Add destination encryption headers
if dst.encryption != nil {
dst.encryption.Marshal(h)
}
// If no user metadata is specified (and so, the
// for-loop below is not entered), metadata from the
// source is copied to the destination (due to
// single-part copy-object PUT request behaviour).
for k, v := range dst.getUserMetaHeadersMap(true) {
h.Set(k, v)
}
// Send copy request
resp, err := c.executeMethod(ctx, "PUT", requestMetadata{
bucketName: dst.bucket,
objectName: dst.object,
customHeader: h,
})
defer closeResponse(resp)
if err != nil {
return err
}
// Check if we got an error response.
if resp.StatusCode != http.StatusOK {
return httpRespToErrorResponse(resp, dst.bucket, dst.object)
}
// Return nil on success.
return nil
return c.CopyObject(dst, srcs[0])
}
// Now, handle multipart-copy cases.
@@ -487,6 +451,9 @@ func (c Client) ComposeObject(dst DestinationInfo, srcs []SourceInfo) error {
partIndex := 1
for i, src := range srcs {
h := src.Headers
if src.encryption != nil {
src.encryption.Marshal(h)
}
// Add destination encryption headers
if dst.encryption != nil {
dst.encryption.Marshal(h)
+1 -1
View File
@@ -44,7 +44,7 @@ func (o GetObjectOptions) Header() http.Header {
for k, v := range o.headers {
headers.Set(k, v)
}
if o.ServerSideEncryption != nil {
if o.ServerSideEncryption != nil && o.ServerSideEncryption.Type() != encrypt.S3 {
o.ServerSideEncryption.Marshal(headers)
}
return headers
+11 -42
View File
@@ -19,62 +19,32 @@ package minio
import (
"context"
"encoding/json"
"io/ioutil"
"net/http"
"net/url"
"github.com/minio/minio-go/pkg/policy"
"github.com/minio/minio-go/pkg/s3utils"
)
// GetBucketPolicy - get bucket policy at a given path.
func (c Client) GetBucketPolicy(bucketName, objectPrefix string) (bucketPolicy policy.BucketPolicy, err error) {
func (c Client) GetBucketPolicy(bucketName string) (string, error) {
// Input validation.
if err := s3utils.CheckValidBucketName(bucketName); err != nil {
return policy.BucketPolicyNone, err
return "", err
}
if err := s3utils.CheckValidObjectNamePrefix(objectPrefix); err != nil {
return policy.BucketPolicyNone, err
}
policyInfo, err := c.getBucketPolicy(bucketName)
bucketPolicy, err := c.getBucketPolicy(bucketName)
if err != nil {
errResponse := ToErrorResponse(err)
if errResponse.Code == "NoSuchBucketPolicy" {
return policy.BucketPolicyNone, nil
return "", nil
}
return policy.BucketPolicyNone, err
return "", err
}
return policy.GetPolicy(policyInfo.Statements, bucketName, objectPrefix), nil
}
// ListBucketPolicies - list all policies for a given prefix and all its children.
func (c Client) ListBucketPolicies(bucketName, objectPrefix string) (bucketPolicies map[string]policy.BucketPolicy, err error) {
// Input validation.
if err := s3utils.CheckValidBucketName(bucketName); err != nil {
return map[string]policy.BucketPolicy{}, err
}
if err := s3utils.CheckValidObjectNamePrefix(objectPrefix); err != nil {
return map[string]policy.BucketPolicy{}, err
}
policyInfo, err := c.getBucketPolicy(bucketName)
if err != nil {
errResponse := ToErrorResponse(err)
if errResponse.Code == "NoSuchBucketPolicy" {
return map[string]policy.BucketPolicy{}, nil
}
return map[string]policy.BucketPolicy{}, err
}
return policy.GetPolicies(policyInfo.Statements, bucketName, objectPrefix), nil
}
// Default empty bucket access policy.
var emptyBucketAccessPolicy = policy.BucketAccessPolicy{
Version: "2012-10-17",
return bucketPolicy, nil
}
// Request server for current bucket policy.
func (c Client) getBucketPolicy(bucketName string) (policy.BucketAccessPolicy, error) {
func (c Client) getBucketPolicy(bucketName string) (string, error) {
// Get resources properly escaped and lined up before
// using them in http request.
urlValues := make(url.Values)
@@ -89,21 +59,20 @@ func (c Client) getBucketPolicy(bucketName string) (policy.BucketAccessPolicy, e
defer closeResponse(resp)
if err != nil {
return emptyBucketAccessPolicy, err
return "", err
}
if resp != nil {
if resp.StatusCode != http.StatusOK {
return emptyBucketAccessPolicy, httpRespToErrorResponse(resp, bucketName, "")
return "", httpRespToErrorResponse(resp, bucketName, "")
}
}
bucketPolicyBuf, err := ioutil.ReadAll(resp.Body)
if err != nil {
return emptyBucketAccessPolicy, err
return "", err
}
policy := policy.BucketAccessPolicy{}
err = json.Unmarshal(bucketPolicyBuf, &policy)
policy := string(bucketPolicyBuf)
return policy, err
}
+15 -45
View File
@@ -20,13 +20,12 @@ package minio
import (
"bytes"
"context"
"encoding/json"
"encoding/xml"
"fmt"
"io/ioutil"
"net/http"
"net/url"
"strings"
"github.com/minio/minio-go/pkg/policy"
"github.com/minio/minio-go/pkg/s3utils"
)
@@ -100,74 +99,45 @@ func (c Client) MakeBucket(bucketName string, location string) (err error) {
}
// SetBucketPolicy set the access permissions on an existing bucket.
//
// For example
//
// none - owner gets full access [default].
// readonly - anonymous get access for everyone at a given object prefix.
// readwrite - anonymous list/put/delete access to a given object prefix.
// writeonly - anonymous put/delete access to a given object prefix.
func (c Client) SetBucketPolicy(bucketName string, objectPrefix string, bucketPolicy policy.BucketPolicy) error {
func (c Client) SetBucketPolicy(bucketName, policy string) error {
// Input validation.
if err := s3utils.CheckValidBucketName(bucketName); err != nil {
return err
}
if err := s3utils.CheckValidObjectNamePrefix(objectPrefix); err != nil {
return err
}
if !bucketPolicy.IsValidBucketPolicy() {
return ErrInvalidArgument(fmt.Sprintf("Invalid bucket policy provided. %s", bucketPolicy))
// If policy is empty then delete the bucket policy.
if policy == "" {
return c.removeBucketPolicy(bucketName)
}
policyInfo, err := c.getBucketPolicy(bucketName)
errResponse := ToErrorResponse(err)
if err != nil && errResponse.Code != "NoSuchBucketPolicy" {
return err
}
if bucketPolicy == policy.BucketPolicyNone && policyInfo.Statements == nil {
// As the request is for removing policy and the bucket
// has empty policy statements, just return success.
return nil
}
policyInfo.Statements = policy.SetPolicy(policyInfo.Statements, bucketPolicy, bucketName, objectPrefix)
// Save the updated policies.
return c.putBucketPolicy(bucketName, policyInfo)
return c.putBucketPolicy(bucketName, policy)
}
// Saves a new bucket policy.
func (c Client) putBucketPolicy(bucketName string, policyInfo policy.BucketAccessPolicy) error {
func (c Client) putBucketPolicy(bucketName, policy string) error {
// Input validation.
if err := s3utils.CheckValidBucketName(bucketName); err != nil {
return err
}
// If there are no policy statements, we should remove entire policy.
if len(policyInfo.Statements) == 0 {
return c.removeBucketPolicy(bucketName)
}
// Get resources properly escaped and lined up before
// using them in http request.
urlValues := make(url.Values)
urlValues.Set("policy", "")
policyBytes, err := json.Marshal(&policyInfo)
// Content-length is mandatory for put policy request
policyReader := strings.NewReader(policy)
b, err := ioutil.ReadAll(policyReader)
if err != nil {
return err
}
policyBuffer := bytes.NewReader(policyBytes)
reqMetadata := requestMetadata{
bucketName: bucketName,
queryValues: urlValues,
contentBody: policyBuffer,
contentLength: int64(len(policyBytes)),
contentMD5Base64: sumMD5Base64(policyBytes),
contentSHA256Hex: sum256Hex(policyBytes),
bucketName: bucketName,
queryValues: urlValues,
contentBody: policyReader,
contentLength: int64(len(b)),
}
// Execute PUT to upload a new bucket policy.
+35 -1
View File
@@ -17,7 +17,41 @@
package minio
import (
"context"
"net/http"
"github.com/minio/minio-go/pkg/encrypt"
)
// CopyObject - copy a source object into a new object
func (c Client) CopyObject(dst DestinationInfo, src SourceInfo) error {
return c.ComposeObject(dst, []SourceInfo{src})
header := make(http.Header)
for k, v := range src.Headers {
header[k] = v
}
if src.encryption != nil {
encrypt.SSECopy(src.encryption).Marshal(header)
}
if dst.encryption != nil {
dst.encryption.Marshal(header)
}
for k, v := range dst.getUserMetaHeadersMap(true) {
header.Set(k, v)
}
resp, err := c.executeMethod(context.Background(), "PUT", requestMetadata{
bucketName: dst.bucket,
objectName: dst.object,
customHeader: header,
})
if err != nil {
return err
}
defer closeResponse(resp)
if resp.StatusCode != http.StatusOK {
return httpRespToErrorResponse(resp, dst.bucket, dst.object)
}
return nil
}
+1 -1
View File
@@ -259,7 +259,7 @@ func (c Client) uploadPart(ctx context.Context, bucketName, objectName, uploadID
// Set encryption headers, if any.
customHeader := make(http.Header)
if sse != nil {
if sse != nil && sse.Type() != encrypt.S3 && sse.Type() != encrypt.KMS {
sse.Marshal(customHeader)
}
+1 -1
View File
@@ -208,7 +208,7 @@ func (c Client) putObjectMultipartStreamNoLength(ctx context.Context, bucketName
if rErr == io.EOF && partNumber > 1 {
break
}
if rErr != nil && rErr != io.ErrUnexpectedEOF {
if rErr != nil && rErr != io.ErrUnexpectedEOF && rErr != io.EOF {
return 0, rErr
}
// Update progress reader appropriately to the latest offset
+6
View File
@@ -195,6 +195,12 @@ func (c Client) RemoveObjectsWithContext(ctx context.Context, bucketName string,
contentMD5Base64: sumMD5Base64(removeBytes),
contentSHA256Hex: sum256Hex(removeBytes),
})
if resp != nil {
if resp.StatusCode != http.StatusOK {
e := httpRespToErrorResponse(resp, bucketName, "")
errorCh <- RemoveObjectError{ObjectName: "", Err: e}
}
}
if err != nil {
for _, b := range batch {
errorCh <- RemoveObjectError{ObjectName: b, Err: err}
+1 -1
View File
@@ -99,7 +99,7 @@ type Options struct {
// Global constants.
const (
libraryName = "minio-go"
libraryVersion = "5.0.1"
libraryVersion = "6.0.1"
)
// User Agent should always following the below style.
+2 -4
View File
@@ -21,8 +21,6 @@ import (
"context"
"io"
"strings"
"github.com/minio/minio-go/pkg/policy"
)
// Core - Inherits Client and adds new methods to expose the low level S3 APIs.
@@ -127,12 +125,12 @@ func (c Core) AbortMultipartUpload(bucket, object, uploadID string) error {
}
// GetBucketPolicy - fetches bucket access policy for a given bucket.
func (c Core) GetBucketPolicy(bucket string) (policy.BucketAccessPolicy, error) {
func (c Core) GetBucketPolicy(bucket string) (string, error) {
return c.getBucketPolicy(bucket)
}
// PutBucketPolicy - applies a new bucket access policy for a given bucket.
func (c Core) PutBucketPolicy(bucket string, bucketPolicy policy.BucketAccessPolicy) error {
func (c Core) PutBucketPolicy(bucket, bucketPolicy string) error {
return c.putBucketPolicy(bucket, bucketPolicy)
}
+49
View File
@@ -20,6 +20,7 @@ package encrypt
import (
"crypto/md5"
"encoding/base64"
"encoding/json"
"errors"
"net/http"
@@ -30,6 +31,11 @@ const (
// sseGenericHeader is the AWS SSE header used for SSE-S3 and SSE-KMS.
sseGenericHeader = "X-Amz-Server-Side-Encryption"
// sseKmsKeyID is the AWS SSE-KMS key id.
sseKmsKeyID = sseGenericHeader + "-Aws-Kms-Key-Id"
// sseEncryptionContext is the AWS SSE-KMS Encryption Context data.
sseEncryptionContext = sseGenericHeader + "-Encryption-Context"
// sseCustomerAlgorithm is the AWS SSE-C algorithm HTTP header key.
sseCustomerAlgorithm = sseGenericHeader + "-Customer-Algorithm"
// sseCustomerKey is the AWS SSE-C encryption key HTTP header key.
@@ -90,6 +96,18 @@ type ServerSide interface {
// Using SSE-S3 the server will encrypt the object with server-managed keys.
func NewSSE() ServerSide { return s3{} }
// NewSSEKMS returns a new server-side-encryption using SSE-KMS and the provided Key Id and context.
func NewSSEKMS(keyID string, context interface{}) (ServerSide, error) {
if context == nil {
return kms{key: keyID, hasContext: false}, nil
}
serializedContext, err := json.Marshal(context)
if err != nil {
return nil, err
}
return kms{key: keyID, context: serializedContext, hasContext: true}, nil
}
// NewSSEC returns a new server-side-encryption using SSE-C and the provided key.
// The key must be 32 bytes long.
func NewSSEC(key []byte) (ServerSide, error) {
@@ -101,6 +119,21 @@ func NewSSEC(key []byte) (ServerSide, error) {
return sse, nil
}
// SSE transforms a SSE-C copy encryption into a SSE-C encryption.
// It is the inverse of SSECopy(...).
//
// If the provided sse is no SSE-C copy encryption SSE returns
// sse unmodified.
func SSE(sse ServerSide) ServerSide {
if sse == nil || sse.Type() != SSEC {
return sse
}
if sse, ok := sse.(ssecCopy); ok {
return ssec(sse)
}
return sse
}
// SSECopy transforms a SSE-C encryption into a SSE-C copy
// encryption. This is required for SSE-C key rotation or a SSE-C
// copy where the source and the destination should be encrypted.
@@ -144,3 +177,19 @@ type s3 struct{}
func (s s3) Type() Type { return S3 }
func (s s3) Marshal(h http.Header) { h.Set(sseGenericHeader, "AES256") }
type kms struct {
key string
context []byte
hasContext bool
}
func (s kms) Type() Type { return KMS }
func (s kms) Marshal(h http.Header) {
h.Set(sseGenericHeader, "aws:kms")
h.Set(sseKmsKeyID, s.key)
if s.hasContext {
h.Set(sseEncryptionContext, base64.StdEncoding.EncodeToString(s.context))
}
}
+3
View File
@@ -111,6 +111,9 @@ func isNetErrorRetryable(err error) bool {
} else if strings.Contains(err.Error(), "connection timed out") {
// If err is a net.Dial timeout, retry.
return true
} else if strings.Contains(err.Error(), "net/http: HTTP/1.x transport connection broken") {
// If error is transport connection broken, retry.
return true
}
}
}
+201
View File
@@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
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See the License for the specific language governing permissions and
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+23
View File
@@ -0,0 +1,23 @@
Prometheus instrumentation library for Go applications
Copyright 2012-2015 The Prometheus Authors
This product includes software developed at
SoundCloud Ltd. (http://soundcloud.com/).
The following components are included in this product:
perks - a fork of https://github.com/bmizerany/perks
https://github.com/beorn7/perks
Copyright 2013-2015 Blake Mizerany, Björn Rabenstein
See https://github.com/beorn7/perks/blob/master/README.md for license details.
Go support for Protocol Buffers - Google's data interchange format
http://github.com/golang/protobuf/
Copyright 2010 The Go Authors
See source code for license details.
Support for streaming Protocol Buffer messages for the Go language (golang).
https://github.com/matttproud/golang_protobuf_extensions
Copyright 2013 Matt T. Proud
Licensed under the Apache License, Version 2.0
+1
View File
@@ -0,0 +1 @@
See [![go-doc](https://godoc.org/github.com/prometheus/client_golang/prometheus?status.svg)](https://godoc.org/github.com/prometheus/client_golang/prometheus).
+75
View File
@@ -0,0 +1,75 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
// Collector is the interface implemented by anything that can be used by
// Prometheus to collect metrics. A Collector has to be registered for
// collection. See Registerer.Register.
//
// The stock metrics provided by this package (Gauge, Counter, Summary,
// Histogram, Untyped) are also Collectors (which only ever collect one metric,
// namely itself). An implementer of Collector may, however, collect multiple
// metrics in a coordinated fashion and/or create metrics on the fly. Examples
// for collectors already implemented in this library are the metric vectors
// (i.e. collection of multiple instances of the same Metric but with different
// label values) like GaugeVec or SummaryVec, and the ExpvarCollector.
type Collector interface {
// Describe sends the super-set of all possible descriptors of metrics
// collected by this Collector to the provided channel and returns once
// the last descriptor has been sent. The sent descriptors fulfill the
// consistency and uniqueness requirements described in the Desc
// documentation. (It is valid if one and the same Collector sends
// duplicate descriptors. Those duplicates are simply ignored. However,
// two different Collectors must not send duplicate descriptors.) This
// method idempotently sends the same descriptors throughout the
// lifetime of the Collector. If a Collector encounters an error while
// executing this method, it must send an invalid descriptor (created
// with NewInvalidDesc) to signal the error to the registry.
Describe(chan<- *Desc)
// Collect is called by the Prometheus registry when collecting
// metrics. The implementation sends each collected metric via the
// provided channel and returns once the last metric has been sent. The
// descriptor of each sent metric is one of those returned by
// Describe. Returned metrics that share the same descriptor must differ
// in their variable label values. This method may be called
// concurrently and must therefore be implemented in a concurrency safe
// way. Blocking occurs at the expense of total performance of rendering
// all registered metrics. Ideally, Collector implementations support
// concurrent readers.
Collect(chan<- Metric)
}
// selfCollector implements Collector for a single Metric so that the Metric
// collects itself. Add it as an anonymous field to a struct that implements
// Metric, and call init with the Metric itself as an argument.
type selfCollector struct {
self Metric
}
// init provides the selfCollector with a reference to the metric it is supposed
// to collect. It is usually called within the factory function to create a
// metric. See example.
func (c *selfCollector) init(self Metric) {
c.self = self
}
// Describe implements Collector.
func (c *selfCollector) Describe(ch chan<- *Desc) {
ch <- c.self.Desc()
}
// Collect implements Collector.
func (c *selfCollector) Collect(ch chan<- Metric) {
ch <- c.self
}
+277
View File
@@ -0,0 +1,277 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"errors"
"math"
"sync/atomic"
dto "github.com/prometheus/client_model/go"
)
// Counter is a Metric that represents a single numerical value that only ever
// goes up. That implies that it cannot be used to count items whose number can
// also go down, e.g. the number of currently running goroutines. Those
// "counters" are represented by Gauges.
//
// A Counter is typically used to count requests served, tasks completed, errors
// occurred, etc.
//
// To create Counter instances, use NewCounter.
type Counter interface {
Metric
Collector
// Inc increments the counter by 1. Use Add to increment it by arbitrary
// non-negative values.
Inc()
// Add adds the given value to the counter. It panics if the value is <
// 0.
Add(float64)
}
// CounterOpts is an alias for Opts. See there for doc comments.
type CounterOpts Opts
// NewCounter creates a new Counter based on the provided CounterOpts.
//
// The returned implementation tracks the counter value in two separate
// variables, a float64 and a uint64. The latter is used to track calls of the
// Inc method and calls of the Add method with a value that can be represented
// as a uint64. This allows atomic increments of the counter with optimal
// performance. (It is common to have an Inc call in very hot execution paths.)
// Both internal tracking values are added up in the Write method. This has to
// be taken into account when it comes to precision and overflow behavior.
func NewCounter(opts CounterOpts) Counter {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
)
result := &counter{desc: desc, labelPairs: desc.constLabelPairs}
result.init(result) // Init self-collection.
return result
}
type counter struct {
// valBits contains the bits of the represented float64 value, while
// valInt stores values that are exact integers. Both have to go first
// in the struct to guarantee alignment for atomic operations.
// http://golang.org/pkg/sync/atomic/#pkg-note-BUG
valBits uint64
valInt uint64
selfCollector
desc *Desc
labelPairs []*dto.LabelPair
}
func (c *counter) Desc() *Desc {
return c.desc
}
func (c *counter) Add(v float64) {
if v < 0 {
panic(errors.New("counter cannot decrease in value"))
}
ival := uint64(v)
if float64(ival) == v {
atomic.AddUint64(&c.valInt, ival)
return
}
for {
oldBits := atomic.LoadUint64(&c.valBits)
newBits := math.Float64bits(math.Float64frombits(oldBits) + v)
if atomic.CompareAndSwapUint64(&c.valBits, oldBits, newBits) {
return
}
}
}
func (c *counter) Inc() {
atomic.AddUint64(&c.valInt, 1)
}
func (c *counter) Write(out *dto.Metric) error {
fval := math.Float64frombits(atomic.LoadUint64(&c.valBits))
ival := atomic.LoadUint64(&c.valInt)
val := fval + float64(ival)
return populateMetric(CounterValue, val, c.labelPairs, out)
}
// CounterVec is a Collector that bundles a set of Counters that all share the
// same Desc, but have different values for their variable labels. This is used
// if you want to count the same thing partitioned by various dimensions
// (e.g. number of HTTP requests, partitioned by response code and
// method). Create instances with NewCounterVec.
type CounterVec struct {
*metricVec
}
// NewCounterVec creates a new CounterVec based on the provided CounterOpts and
// partitioned by the given label names.
func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &CounterVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
if len(lvs) != len(desc.variableLabels) {
panic(errInconsistentCardinality)
}
result := &counter{desc: desc, labelPairs: makeLabelPairs(desc, lvs)}
result.init(result) // Init self-collection.
return result
}),
}
}
// GetMetricWithLabelValues returns the Counter for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// label values is accessed for the first time, a new Counter is created.
//
// It is possible to call this method without using the returned Counter to only
// create the new Counter but leave it at its starting value 0. See also the
// SummaryVec example.
//
// Keeping the Counter for later use is possible (and should be considered if
// performance is critical), but keep in mind that Reset, DeleteLabelValues and
// Delete can be used to delete the Counter from the CounterVec. In that case,
// the Counter will still exist, but it will not be exported anymore, even if a
// Counter with the same label values is created later.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
// an alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
// See also the GaugeVec example.
func (v *CounterVec) GetMetricWithLabelValues(lvs ...string) (Counter, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Counter), err
}
return nil, err
}
// GetMetricWith returns the Counter for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// accessed for the first time, a new Counter is created. Implications of
// creating a Counter without using it and keeping the Counter for later use are
// the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *CounterVec) GetMetricWith(labels Labels) (Counter, error) {
metric, err := v.metricVec.getMetricWith(labels)
if metric != nil {
return metric.(Counter), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. Not returning an
// error allows shortcuts like
// myVec.WithLabelValues("404", "GET").Add(42)
func (v *CounterVec) WithLabelValues(lvs ...string) Counter {
c, err := v.GetMetricWithLabelValues(lvs...)
if err != nil {
panic(err)
}
return c
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. Not returning an error allows shortcuts like
// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42)
func (v *CounterVec) With(labels Labels) Counter {
c, err := v.GetMetricWith(labels)
if err != nil {
panic(err)
}
return c
}
// CurryWith returns a vector curried with the provided labels, i.e. the
// returned vector has those labels pre-set for all labeled operations performed
// on it. The cardinality of the curried vector is reduced accordingly. The
// order of the remaining labels stays the same (just with the curried labels
// taken out of the sequence – which is relevant for the
// (GetMetric)WithLabelValues methods). It is possible to curry a curried
// vector, but only with labels not yet used for currying before.
//
// The metrics contained in the CounterVec are shared between the curried and
// uncurried vectors. They are just accessed differently. Curried and uncurried
// vectors behave identically in terms of collection. Only one must be
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *CounterVec) CurryWith(labels Labels) (*CounterVec, error) {
vec, err := v.curryWith(labels)
if vec != nil {
return &CounterVec{vec}, err
}
return nil, err
}
// MustCurryWith works as CurryWith but panics where CurryWith would have
// returned an error.
func (v *CounterVec) MustCurryWith(labels Labels) *CounterVec {
vec, err := v.CurryWith(labels)
if err != nil {
panic(err)
}
return vec
}
// CounterFunc is a Counter whose value is determined at collect time by calling a
// provided function.
//
// To create CounterFunc instances, use NewCounterFunc.
type CounterFunc interface {
Metric
Collector
}
// NewCounterFunc creates a new CounterFunc based on the provided
// CounterOpts. The value reported is determined by calling the given function
// from within the Write method. Take into account that metric collection may
// happen concurrently. If that results in concurrent calls to Write, like in
// the case where a CounterFunc is directly registered with Prometheus, the
// provided function must be concurrency-safe. The function should also honor
// the contract for a Counter (values only go up, not down), but compliance will
// not be checked.
func NewCounterFunc(opts CounterOpts, function func() float64) CounterFunc {
return newValueFunc(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), CounterValue, function)
}
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// Copyright 2016 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"errors"
"fmt"
"sort"
"strings"
"github.com/golang/protobuf/proto"
"github.com/prometheus/common/model"
dto "github.com/prometheus/client_model/go"
)
// Desc is the descriptor used by every Prometheus Metric. It is essentially
// the immutable meta-data of a Metric. The normal Metric implementations
// included in this package manage their Desc under the hood. Users only have to
// deal with Desc if they use advanced features like the ExpvarCollector or
// custom Collectors and Metrics.
//
// Descriptors registered with the same registry have to fulfill certain
// consistency and uniqueness criteria if they share the same fully-qualified
// name: They must have the same help string and the same label names (aka label
// dimensions) in each, constLabels and variableLabels, but they must differ in
// the values of the constLabels.
//
// Descriptors that share the same fully-qualified names and the same label
// values of their constLabels are considered equal.
//
// Use NewDesc to create new Desc instances.
type Desc struct {
// fqName has been built from Namespace, Subsystem, and Name.
fqName string
// help provides some helpful information about this metric.
help string
// constLabelPairs contains precalculated DTO label pairs based on
// the constant labels.
constLabelPairs []*dto.LabelPair
// VariableLabels contains names of labels for which the metric
// maintains variable values.
variableLabels []string
// id is a hash of the values of the ConstLabels and fqName. This
// must be unique among all registered descriptors and can therefore be
// used as an identifier of the descriptor.
id uint64
// dimHash is a hash of the label names (preset and variable) and the
// Help string. Each Desc with the same fqName must have the same
// dimHash.
dimHash uint64
// err is an error that occurred during construction. It is reported on
// registration time.
err error
}
// NewDesc allocates and initializes a new Desc. Errors are recorded in the Desc
// and will be reported on registration time. variableLabels and constLabels can
// be nil if no such labels should be set. fqName and help must not be empty.
//
// variableLabels only contain the label names. Their label values are variable
// and therefore not part of the Desc. (They are managed within the Metric.)
//
// For constLabels, the label values are constant. Therefore, they are fully
// specified in the Desc. See the Collector example for a usage pattern.
func NewDesc(fqName, help string, variableLabels []string, constLabels Labels) *Desc {
d := &Desc{
fqName: fqName,
help: help,
variableLabels: variableLabels,
}
if help == "" {
d.err = errors.New("empty help string")
return d
}
if !model.IsValidMetricName(model.LabelValue(fqName)) {
d.err = fmt.Errorf("%q is not a valid metric name", fqName)
return d
}
// labelValues contains the label values of const labels (in order of
// their sorted label names) plus the fqName (at position 0).
labelValues := make([]string, 1, len(constLabels)+1)
labelValues[0] = fqName
labelNames := make([]string, 0, len(constLabels)+len(variableLabels))
labelNameSet := map[string]struct{}{}
// First add only the const label names and sort them...
for labelName := range constLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, labelName)
labelNameSet[labelName] = struct{}{}
}
sort.Strings(labelNames)
// ... so that we can now add const label values in the order of their names.
for _, labelName := range labelNames {
labelValues = append(labelValues, constLabels[labelName])
}
// Validate the const label values. They can't have a wrong cardinality, so
// use in len(labelValues) as expectedNumberOfValues.
if err := validateLabelValues(labelValues, len(labelValues)); err != nil {
d.err = err
return d
}
// Now add the variable label names, but prefix them with something that
// cannot be in a regular label name. That prevents matching the label
// dimension with a different mix between preset and variable labels.
for _, labelName := range variableLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, "$"+labelName)
labelNameSet[labelName] = struct{}{}
}
if len(labelNames) != len(labelNameSet) {
d.err = errors.New("duplicate label names")
return d
}
vh := hashNew()
for _, val := range labelValues {
vh = hashAdd(vh, val)
vh = hashAddByte(vh, separatorByte)
}
d.id = vh
// Sort labelNames so that order doesn't matter for the hash.
sort.Strings(labelNames)
// Now hash together (in this order) the help string and the sorted
// label names.
lh := hashNew()
lh = hashAdd(lh, help)
lh = hashAddByte(lh, separatorByte)
for _, labelName := range labelNames {
lh = hashAdd(lh, labelName)
lh = hashAddByte(lh, separatorByte)
}
d.dimHash = lh
d.constLabelPairs = make([]*dto.LabelPair, 0, len(constLabels))
for n, v := range constLabels {
d.constLabelPairs = append(d.constLabelPairs, &dto.LabelPair{
Name: proto.String(n),
Value: proto.String(v),
})
}
sort.Sort(LabelPairSorter(d.constLabelPairs))
return d
}
// NewInvalidDesc returns an invalid descriptor, i.e. a descriptor with the
// provided error set. If a collector returning such a descriptor is registered,
// registration will fail with the provided error. NewInvalidDesc can be used by
// a Collector to signal inability to describe itself.
func NewInvalidDesc(err error) *Desc {
return &Desc{
err: err,
}
}
func (d *Desc) String() string {
lpStrings := make([]string, 0, len(d.constLabelPairs))
for _, lp := range d.constLabelPairs {
lpStrings = append(
lpStrings,
fmt.Sprintf("%s=%q", lp.GetName(), lp.GetValue()),
)
}
return fmt.Sprintf(
"Desc{fqName: %q, help: %q, constLabels: {%s}, variableLabels: %v}",
d.fqName,
d.help,
strings.Join(lpStrings, ","),
d.variableLabels,
)
}
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package prometheus provides metrics primitives to instrument code for
// monitoring. It also offers a registry for metrics. Sub-packages allow to
// expose the registered metrics via HTTP (package promhttp) or push them to a
// Pushgateway (package push).
//
// All exported functions and methods are safe to be used concurrently unless
// specified otherwise.
//
// A Basic Example
//
// As a starting point, a very basic usage example:
//
// package main
//
// import (
// "log"
// "net/http"
//
// "github.com/prometheus/client_golang/prometheus"
// "github.com/prometheus/client_golang/prometheus/promhttp"
// )
//
// var (
// cpuTemp = prometheus.NewGauge(prometheus.GaugeOpts{
// Name: "cpu_temperature_celsius",
// Help: "Current temperature of the CPU.",
// })
// hdFailures = prometheus.NewCounterVec(
// prometheus.CounterOpts{
// Name: "hd_errors_total",
// Help: "Number of hard-disk errors.",
// },
// []string{"device"},
// )
// )
//
// func init() {
// // Metrics have to be registered to be exposed:
// prometheus.MustRegister(cpuTemp)
// prometheus.MustRegister(hdFailures)
// }
//
// func main() {
// cpuTemp.Set(65.3)
// hdFailures.With(prometheus.Labels{"device":"/dev/sda"}).Inc()
//
// // The Handler function provides a default handler to expose metrics
// // via an HTTP server. "/metrics" is the usual endpoint for that.
// http.Handle("/metrics", promhttp.Handler())
// log.Fatal(http.ListenAndServe(":8080", nil))
// }
//
//
// This is a complete program that exports two metrics, a Gauge and a Counter,
// the latter with a label attached to turn it into a (one-dimensional) vector.
//
// Metrics
//
// The number of exported identifiers in this package might appear a bit
// overwhelming. However, in addition to the basic plumbing shown in the example
// above, you only need to understand the different metric types and their
// vector versions for basic usage.
//
// Above, you have already touched the Counter and the Gauge. There are two more
// advanced metric types: the Summary and Histogram. A more thorough description
// of those four metric types can be found in the Prometheus docs:
// https://prometheus.io/docs/concepts/metric_types/
//
// A fifth "type" of metric is Untyped. It behaves like a Gauge, but signals the
// Prometheus server not to assume anything about its type.
//
// In addition to the fundamental metric types Gauge, Counter, Summary,
// Histogram, and Untyped, a very important part of the Prometheus data model is
// the partitioning of samples along dimensions called labels, which results in
// metric vectors. The fundamental types are GaugeVec, CounterVec, SummaryVec,
// HistogramVec, and UntypedVec.
//
// While only the fundamental metric types implement the Metric interface, both
// the metrics and their vector versions implement the Collector interface. A
// Collector manages the collection of a number of Metrics, but for convenience,
// a Metric can also “collect itself”. Note that Gauge, Counter, Summary,
// Histogram, and Untyped are interfaces themselves while GaugeVec, CounterVec,
// SummaryVec, HistogramVec, and UntypedVec are not.
//
// To create instances of Metrics and their vector versions, you need a suitable
// …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts, HistogramOpts, or
// UntypedOpts.
//
// Custom Collectors and constant Metrics
//
// While you could create your own implementations of Metric, most likely you
// will only ever implement the Collector interface on your own. At a first
// glance, a custom Collector seems handy to bundle Metrics for common
// registration (with the prime example of the different metric vectors above,
// which bundle all the metrics of the same name but with different labels).
//
// There is a more involved use case, too: If you already have metrics
// available, created outside of the Prometheus context, you don't need the
// interface of the various Metric types. You essentially want to mirror the
// existing numbers into Prometheus Metrics during collection. An own
// implementation of the Collector interface is perfect for that. You can create
// Metric instances “on the fly” using NewConstMetric, NewConstHistogram, and
// NewConstSummary (and their respective Must… versions). That will happen in
// the Collect method. The Describe method has to return separate Desc
// instances, representative of the “throw-away” metrics to be created later.
// NewDesc comes in handy to create those Desc instances.
//
// The Collector example illustrates the use case. You can also look at the
// source code of the processCollector (mirroring process metrics), the
// goCollector (mirroring Go metrics), or the expvarCollector (mirroring expvar
// metrics) as examples that are used in this package itself.
//
// If you just need to call a function to get a single float value to collect as
// a metric, GaugeFunc, CounterFunc, or UntypedFunc might be interesting
// shortcuts.
//
// Advanced Uses of the Registry
//
// While MustRegister is the by far most common way of registering a Collector,
// sometimes you might want to handle the errors the registration might cause.
// As suggested by the name, MustRegister panics if an error occurs. With the
// Register function, the error is returned and can be handled.
//
// An error is returned if the registered Collector is incompatible or
// inconsistent with already registered metrics. The registry aims for
// consistency of the collected metrics according to the Prometheus data model.
// Inconsistencies are ideally detected at registration time, not at collect
// time. The former will usually be detected at start-up time of a program,
// while the latter will only happen at scrape time, possibly not even on the
// first scrape if the inconsistency only becomes relevant later. That is the
// main reason why a Collector and a Metric have to describe themselves to the
// registry.
//
// So far, everything we did operated on the so-called default registry, as it
// can be found in the global DefaultRegisterer variable. With NewRegistry, you
// can create a custom registry, or you can even implement the Registerer or
// Gatherer interfaces yourself. The methods Register and Unregister work in the
// same way on a custom registry as the global functions Register and Unregister
// on the default registry.
//
// There are a number of uses for custom registries: You can use registries with
// special properties, see NewPedanticRegistry. You can avoid global state, as
// it is imposed by the DefaultRegisterer. You can use multiple registries at
// the same time to expose different metrics in different ways. You can use
// separate registries for testing purposes.
//
// Also note that the DefaultRegisterer comes registered with a Collector for Go
// runtime metrics (via NewGoCollector) and a Collector for process metrics (via
// NewProcessCollector). With a custom registry, you are in control and decide
// yourself about the Collectors to register.
//
// HTTP Exposition
//
// The Registry implements the Gatherer interface. The caller of the Gather
// method can then expose the gathered metrics in some way. Usually, the metrics
// are served via HTTP on the /metrics endpoint. That's happening in the example
// above. The tools to expose metrics via HTTP are in the promhttp sub-package.
// (The top-level functions in the prometheus package are deprecated.)
//
// Pushing to the Pushgateway
//
// Function for pushing to the Pushgateway can be found in the push sub-package.
//
// Graphite Bridge
//
// Functions and examples to push metrics from a Gatherer to Graphite can be
// found in the graphite sub-package.
//
// Other Means of Exposition
//
// More ways of exposing metrics can easily be added by following the approaches
// of the existing implementations.
package prometheus
@@ -0,0 +1,119 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"encoding/json"
"expvar"
)
type expvarCollector struct {
exports map[string]*Desc
}
// NewExpvarCollector returns a newly allocated expvar Collector that still has
// to be registered with a Prometheus registry.
//
// An expvar Collector collects metrics from the expvar interface. It provides a
// quick way to expose numeric values that are already exported via expvar as
// Prometheus metrics. Note that the data models of expvar and Prometheus are
// fundamentally different, and that the expvar Collector is inherently slower
// than native Prometheus metrics. Thus, the expvar Collector is probably great
// for experiments and prototying, but you should seriously consider a more
// direct implementation of Prometheus metrics for monitoring production
// systems.
//
// The exports map has the following meaning:
//
// The keys in the map correspond to expvar keys, i.e. for every expvar key you
// want to export as Prometheus metric, you need an entry in the exports
// map. The descriptor mapped to each key describes how to export the expvar
// value. It defines the name and the help string of the Prometheus metric
// proxying the expvar value. The type will always be Untyped.
//
// For descriptors without variable labels, the expvar value must be a number or
// a bool. The number is then directly exported as the Prometheus sample
// value. (For a bool, 'false' translates to 0 and 'true' to 1). Expvar values
// that are not numbers or bools are silently ignored.
//
// If the descriptor has one variable label, the expvar value must be an expvar
// map. The keys in the expvar map become the various values of the one
// Prometheus label. The values in the expvar map must be numbers or bools again
// as above.
//
// For descriptors with more than one variable label, the expvar must be a
// nested expvar map, i.e. where the values of the topmost map are maps again
// etc. until a depth is reached that corresponds to the number of labels. The
// leaves of that structure must be numbers or bools as above to serve as the
// sample values.
//
// Anything that does not fit into the scheme above is silently ignored.
func NewExpvarCollector(exports map[string]*Desc) Collector {
return &expvarCollector{
exports: exports,
}
}
// Describe implements Collector.
func (e *expvarCollector) Describe(ch chan<- *Desc) {
for _, desc := range e.exports {
ch <- desc
}
}
// Collect implements Collector.
func (e *expvarCollector) Collect(ch chan<- Metric) {
for name, desc := range e.exports {
var m Metric
expVar := expvar.Get(name)
if expVar == nil {
continue
}
var v interface{}
labels := make([]string, len(desc.variableLabels))
if err := json.Unmarshal([]byte(expVar.String()), &v); err != nil {
ch <- NewInvalidMetric(desc, err)
continue
}
var processValue func(v interface{}, i int)
processValue = func(v interface{}, i int) {
if i >= len(labels) {
copiedLabels := append(make([]string, 0, len(labels)), labels...)
switch v := v.(type) {
case float64:
m = MustNewConstMetric(desc, UntypedValue, v, copiedLabels...)
case bool:
if v {
m = MustNewConstMetric(desc, UntypedValue, 1, copiedLabels...)
} else {
m = MustNewConstMetric(desc, UntypedValue, 0, copiedLabels...)
}
default:
return
}
ch <- m
return
}
vm, ok := v.(map[string]interface{})
if !ok {
return
}
for lv, val := range vm {
labels[i] = lv
processValue(val, i+1)
}
}
processValue(v, 0)
}
}
+29
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package prometheus
// Inline and byte-free variant of hash/fnv's fnv64a.
const (
offset64 = 14695981039346656037
prime64 = 1099511628211
)
// hashNew initializies a new fnv64a hash value.
func hashNew() uint64 {
return offset64
}
// hashAdd adds a string to a fnv64a hash value, returning the updated hash.
func hashAdd(h uint64, s string) uint64 {
for i := 0; i < len(s); i++ {
h ^= uint64(s[i])
h *= prime64
}
return h
}
// hashAddByte adds a byte to a fnv64a hash value, returning the updated hash.
func hashAddByte(h uint64, b byte) uint64 {
h ^= uint64(b)
h *= prime64
return h
}
+286
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@@ -0,0 +1,286 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"math"
"sync/atomic"
"time"
dto "github.com/prometheus/client_model/go"
)
// Gauge is a Metric that represents a single numerical value that can
// arbitrarily go up and down.
//
// A Gauge is typically used for measured values like temperatures or current
// memory usage, but also "counts" that can go up and down, like the number of
// running goroutines.
//
// To create Gauge instances, use NewGauge.
type Gauge interface {
Metric
Collector
// Set sets the Gauge to an arbitrary value.
Set(float64)
// Inc increments the Gauge by 1. Use Add to increment it by arbitrary
// values.
Inc()
// Dec decrements the Gauge by 1. Use Sub to decrement it by arbitrary
// values.
Dec()
// Add adds the given value to the Gauge. (The value can be negative,
// resulting in a decrease of the Gauge.)
Add(float64)
// Sub subtracts the given value from the Gauge. (The value can be
// negative, resulting in an increase of the Gauge.)
Sub(float64)
// SetToCurrentTime sets the Gauge to the current Unix time in seconds.
SetToCurrentTime()
}
// GaugeOpts is an alias for Opts. See there for doc comments.
type GaugeOpts Opts
// NewGauge creates a new Gauge based on the provided GaugeOpts.
//
// The returned implementation is optimized for a fast Set method. If you have a
// choice for managing the value of a Gauge via Set vs. Inc/Dec/Add/Sub, pick
// the former. For example, the Inc method of the returned Gauge is slower than
// the Inc method of a Counter returned by NewCounter. This matches the typical
// scenarios for Gauges and Counters, where the former tends to be Set-heavy and
// the latter Inc-heavy.
func NewGauge(opts GaugeOpts) Gauge {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
)
result := &gauge{desc: desc, labelPairs: desc.constLabelPairs}
result.init(result) // Init self-collection.
return result
}
type gauge struct {
// valBits contains the bits of the represented float64 value. It has
// to go first in the struct to guarantee alignment for atomic
// operations. http://golang.org/pkg/sync/atomic/#pkg-note-BUG
valBits uint64
selfCollector
desc *Desc
labelPairs []*dto.LabelPair
}
func (g *gauge) Desc() *Desc {
return g.desc
}
func (g *gauge) Set(val float64) {
atomic.StoreUint64(&g.valBits, math.Float64bits(val))
}
func (g *gauge) SetToCurrentTime() {
g.Set(float64(time.Now().UnixNano()) / 1e9)
}
func (g *gauge) Inc() {
g.Add(1)
}
func (g *gauge) Dec() {
g.Add(-1)
}
func (g *gauge) Add(val float64) {
for {
oldBits := atomic.LoadUint64(&g.valBits)
newBits := math.Float64bits(math.Float64frombits(oldBits) + val)
if atomic.CompareAndSwapUint64(&g.valBits, oldBits, newBits) {
return
}
}
}
func (g *gauge) Sub(val float64) {
g.Add(val * -1)
}
func (g *gauge) Write(out *dto.Metric) error {
val := math.Float64frombits(atomic.LoadUint64(&g.valBits))
return populateMetric(GaugeValue, val, g.labelPairs, out)
}
// GaugeVec is a Collector that bundles a set of Gauges that all share the same
// Desc, but have different values for their variable labels. This is used if
// you want to count the same thing partitioned by various dimensions
// (e.g. number of operations queued, partitioned by user and operation
// type). Create instances with NewGaugeVec.
type GaugeVec struct {
*metricVec
}
// NewGaugeVec creates a new GaugeVec based on the provided GaugeOpts and
// partitioned by the given label names.
func NewGaugeVec(opts GaugeOpts, labelNames []string) *GaugeVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &GaugeVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
if len(lvs) != len(desc.variableLabels) {
panic(errInconsistentCardinality)
}
result := &gauge{desc: desc, labelPairs: makeLabelPairs(desc, lvs)}
result.init(result) // Init self-collection.
return result
}),
}
}
// GetMetricWithLabelValues returns the Gauge for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// label values is accessed for the first time, a new Gauge is created.
//
// It is possible to call this method without using the returned Gauge to only
// create the new Gauge but leave it at its starting value 0. See also the
// SummaryVec example.
//
// Keeping the Gauge for later use is possible (and should be considered if
// performance is critical), but keep in mind that Reset, DeleteLabelValues and
// Delete can be used to delete the Gauge from the GaugeVec. In that case, the
// Gauge will still exist, but it will not be exported anymore, even if a
// Gauge with the same label values is created later. See also the CounterVec
// example.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
// an alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
func (v *GaugeVec) GetMetricWithLabelValues(lvs ...string) (Gauge, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Gauge), err
}
return nil, err
}
// GetMetricWith returns the Gauge for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// accessed for the first time, a new Gauge is created. Implications of
// creating a Gauge without using it and keeping the Gauge for later use are
// the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *GaugeVec) GetMetricWith(labels Labels) (Gauge, error) {
metric, err := v.metricVec.getMetricWith(labels)
if metric != nil {
return metric.(Gauge), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. Not returning an
// error allows shortcuts like
// myVec.WithLabelValues("404", "GET").Add(42)
func (v *GaugeVec) WithLabelValues(lvs ...string) Gauge {
g, err := v.GetMetricWithLabelValues(lvs...)
if err != nil {
panic(err)
}
return g
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. Not returning an error allows shortcuts like
// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42)
func (v *GaugeVec) With(labels Labels) Gauge {
g, err := v.GetMetricWith(labels)
if err != nil {
panic(err)
}
return g
}
// CurryWith returns a vector curried with the provided labels, i.e. the
// returned vector has those labels pre-set for all labeled operations performed
// on it. The cardinality of the curried vector is reduced accordingly. The
// order of the remaining labels stays the same (just with the curried labels
// taken out of the sequence – which is relevant for the
// (GetMetric)WithLabelValues methods). It is possible to curry a curried
// vector, but only with labels not yet used for currying before.
//
// The metrics contained in the GaugeVec are shared between the curried and
// uncurried vectors. They are just accessed differently. Curried and uncurried
// vectors behave identically in terms of collection. Only one must be
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *GaugeVec) CurryWith(labels Labels) (*GaugeVec, error) {
vec, err := v.curryWith(labels)
if vec != nil {
return &GaugeVec{vec}, err
}
return nil, err
}
// MustCurryWith works as CurryWith but panics where CurryWith would have
// returned an error.
func (v *GaugeVec) MustCurryWith(labels Labels) *GaugeVec {
vec, err := v.CurryWith(labels)
if err != nil {
panic(err)
}
return vec
}
// GaugeFunc is a Gauge whose value is determined at collect time by calling a
// provided function.
//
// To create GaugeFunc instances, use NewGaugeFunc.
type GaugeFunc interface {
Metric
Collector
}
// NewGaugeFunc creates a new GaugeFunc based on the provided GaugeOpts. The
// value reported is determined by calling the given function from within the
// Write method. Take into account that metric collection may happen
// concurrently. If that results in concurrent calls to Write, like in the case
// where a GaugeFunc is directly registered with Prometheus, the provided
// function must be concurrency-safe.
func NewGaugeFunc(opts GaugeOpts, function func() float64) GaugeFunc {
return newValueFunc(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), GaugeValue, function)
}
+284
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package prometheus
import (
"fmt"
"runtime"
"runtime/debug"
"time"
)
type goCollector struct {
goroutinesDesc *Desc
threadsDesc *Desc
gcDesc *Desc
goInfoDesc *Desc
// metrics to describe and collect
metrics memStatsMetrics
}
// NewGoCollector returns a collector which exports metrics about the current
// go process.
func NewGoCollector() Collector {
return &goCollector{
goroutinesDesc: NewDesc(
"go_goroutines",
"Number of goroutines that currently exist.",
nil, nil),
threadsDesc: NewDesc(
"go_threads",
"Number of OS threads created.",
nil, nil),
gcDesc: NewDesc(
"go_gc_duration_seconds",
"A summary of the GC invocation durations.",
nil, nil),
goInfoDesc: NewDesc(
"go_info",
"Information about the Go environment.",
nil, Labels{"version": runtime.Version()}),
metrics: memStatsMetrics{
{
desc: NewDesc(
memstatNamespace("alloc_bytes"),
"Number of bytes allocated and still in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Alloc) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("alloc_bytes_total"),
"Total number of bytes allocated, even if freed.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.TotalAlloc) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("sys_bytes"),
"Number of bytes obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Sys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("lookups_total"),
"Total number of pointer lookups.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Lookups) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("mallocs_total"),
"Total number of mallocs.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Mallocs) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("frees_total"),
"Total number of frees.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Frees) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("heap_alloc_bytes"),
"Number of heap bytes allocated and still in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapAlloc) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_sys_bytes"),
"Number of heap bytes obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_idle_bytes"),
"Number of heap bytes waiting to be used.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapIdle) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_inuse_bytes"),
"Number of heap bytes that are in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_released_bytes"),
"Number of heap bytes released to OS.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapReleased) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_objects"),
"Number of allocated objects.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapObjects) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("stack_inuse_bytes"),
"Number of bytes in use by the stack allocator.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("stack_sys_bytes"),
"Number of bytes obtained from system for stack allocator.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mspan_inuse_bytes"),
"Number of bytes in use by mspan structures.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mspan_sys_bytes"),
"Number of bytes used for mspan structures obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mcache_inuse_bytes"),
"Number of bytes in use by mcache structures.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mcache_sys_bytes"),
"Number of bytes used for mcache structures obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("buck_hash_sys_bytes"),
"Number of bytes used by the profiling bucket hash table.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.BuckHashSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("gc_sys_bytes"),
"Number of bytes used for garbage collection system metadata.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.GCSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("other_sys_bytes"),
"Number of bytes used for other system allocations.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.OtherSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("next_gc_bytes"),
"Number of heap bytes when next garbage collection will take place.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.NextGC) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("last_gc_time_seconds"),
"Number of seconds since 1970 of last garbage collection.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.LastGC) / 1e9 },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("gc_cpu_fraction"),
"The fraction of this program's available CPU time used by the GC since the program started.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return ms.GCCPUFraction },
valType: GaugeValue,
},
},
}
}
func memstatNamespace(s string) string {
return fmt.Sprintf("go_memstats_%s", s)
}
// Describe returns all descriptions of the collector.
func (c *goCollector) Describe(ch chan<- *Desc) {
ch <- c.goroutinesDesc
ch <- c.threadsDesc
ch <- c.gcDesc
ch <- c.goInfoDesc
for _, i := range c.metrics {
ch <- i.desc
}
}
// Collect returns the current state of all metrics of the collector.
func (c *goCollector) Collect(ch chan<- Metric) {
ch <- MustNewConstMetric(c.goroutinesDesc, GaugeValue, float64(runtime.NumGoroutine()))
n, _ := runtime.ThreadCreateProfile(nil)
ch <- MustNewConstMetric(c.threadsDesc, GaugeValue, float64(n))
var stats debug.GCStats
stats.PauseQuantiles = make([]time.Duration, 5)
debug.ReadGCStats(&stats)
quantiles := make(map[float64]float64)
for idx, pq := range stats.PauseQuantiles[1:] {
quantiles[float64(idx+1)/float64(len(stats.PauseQuantiles)-1)] = pq.Seconds()
}
quantiles[0.0] = stats.PauseQuantiles[0].Seconds()
ch <- MustNewConstSummary(c.gcDesc, uint64(stats.NumGC), float64(stats.PauseTotal.Seconds()), quantiles)
ch <- MustNewConstMetric(c.goInfoDesc, GaugeValue, 1)
ms := &runtime.MemStats{}
runtime.ReadMemStats(ms)
for _, i := range c.metrics {
ch <- MustNewConstMetric(i.desc, i.valType, i.eval(ms))
}
}
// memStatsMetrics provide description, value, and value type for memstat metrics.
type memStatsMetrics []struct {
desc *Desc
eval func(*runtime.MemStats) float64
valType ValueType
}
+505
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"fmt"
"math"
"sort"
"sync/atomic"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
)
// A Histogram counts individual observations from an event or sample stream in
// configurable buckets. Similar to a summary, it also provides a sum of
// observations and an observation count.
//
// On the Prometheus server, quantiles can be calculated from a Histogram using
// the histogram_quantile function in the query language.
//
// Note that Histograms, in contrast to Summaries, can be aggregated with the
// Prometheus query language (see the documentation for detailed
// procedures). However, Histograms require the user to pre-define suitable
// buckets, and they are in general less accurate. The Observe method of a
// Histogram has a very low performance overhead in comparison with the Observe
// method of a Summary.
//
// To create Histogram instances, use NewHistogram.
type Histogram interface {
Metric
Collector
// Observe adds a single observation to the histogram.
Observe(float64)
}
// bucketLabel is used for the label that defines the upper bound of a
// bucket of a histogram ("le" -> "less or equal").
const bucketLabel = "le"
// DefBuckets are the default Histogram buckets. The default buckets are
// tailored to broadly measure the response time (in seconds) of a network
// service. Most likely, however, you will be required to define buckets
// customized to your use case.
var (
DefBuckets = []float64{.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10}
errBucketLabelNotAllowed = fmt.Errorf(
"%q is not allowed as label name in histograms", bucketLabel,
)
)
// LinearBuckets creates 'count' buckets, each 'width' wide, where the lowest
// bucket has an upper bound of 'start'. The final +Inf bucket is not counted
// and not included in the returned slice. The returned slice is meant to be
// used for the Buckets field of HistogramOpts.
//
// The function panics if 'count' is zero or negative.
func LinearBuckets(start, width float64, count int) []float64 {
if count < 1 {
panic("LinearBuckets needs a positive count")
}
buckets := make([]float64, count)
for i := range buckets {
buckets[i] = start
start += width
}
return buckets
}
// ExponentialBuckets creates 'count' buckets, where the lowest bucket has an
// upper bound of 'start' and each following bucket's upper bound is 'factor'
// times the previous bucket's upper bound. The final +Inf bucket is not counted
// and not included in the returned slice. The returned slice is meant to be
// used for the Buckets field of HistogramOpts.
//
// The function panics if 'count' is 0 or negative, if 'start' is 0 or negative,
// or if 'factor' is less than or equal 1.
func ExponentialBuckets(start, factor float64, count int) []float64 {
if count < 1 {
panic("ExponentialBuckets needs a positive count")
}
if start <= 0 {
panic("ExponentialBuckets needs a positive start value")
}
if factor <= 1 {
panic("ExponentialBuckets needs a factor greater than 1")
}
buckets := make([]float64, count)
for i := range buckets {
buckets[i] = start
start *= factor
}
return buckets
}
// HistogramOpts bundles the options for creating a Histogram metric. It is
// mandatory to set Name and Help to a non-empty string. All other fields are
// optional and can safely be left at their zero value.
type HistogramOpts struct {
// Namespace, Subsystem, and Name are components of the fully-qualified
// name of the Histogram (created by joining these components with
// "_"). Only Name is mandatory, the others merely help structuring the
// name. Note that the fully-qualified name of the Histogram must be a
// valid Prometheus metric name.
Namespace string
Subsystem string
Name string
// Help provides information about this Histogram. Mandatory!
//
// Metrics with the same fully-qualified name must have the same Help
// string.
Help string
// ConstLabels are used to attach fixed labels to this metric. Metrics
// with the same fully-qualified name must have the same label names in
// their ConstLabels.
//
// ConstLabels are only used rarely. In particular, do not use them to
// attach the same labels to all your metrics. Those use cases are
// better covered by target labels set by the scraping Prometheus
// server, or by one specific metric (e.g. a build_info or a
// machine_role metric). See also
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels,-not-static-scraped-labels
ConstLabels Labels
// Buckets defines the buckets into which observations are counted. Each
// element in the slice is the upper inclusive bound of a bucket. The
// values must be sorted in strictly increasing order. There is no need
// to add a highest bucket with +Inf bound, it will be added
// implicitly. The default value is DefBuckets.
Buckets []float64
}
// NewHistogram creates a new Histogram based on the provided HistogramOpts. It
// panics if the buckets in HistogramOpts are not in strictly increasing order.
func NewHistogram(opts HistogramOpts) Histogram {
return newHistogram(
NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
),
opts,
)
}
func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogram {
if len(desc.variableLabels) != len(labelValues) {
panic(errInconsistentCardinality)
}
for _, n := range desc.variableLabels {
if n == bucketLabel {
panic(errBucketLabelNotAllowed)
}
}
for _, lp := range desc.constLabelPairs {
if lp.GetName() == bucketLabel {
panic(errBucketLabelNotAllowed)
}
}
if len(opts.Buckets) == 0 {
opts.Buckets = DefBuckets
}
h := &histogram{
desc: desc,
upperBounds: opts.Buckets,
labelPairs: makeLabelPairs(desc, labelValues),
}
for i, upperBound := range h.upperBounds {
if i < len(h.upperBounds)-1 {
if upperBound >= h.upperBounds[i+1] {
panic(fmt.Errorf(
"histogram buckets must be in increasing order: %f >= %f",
upperBound, h.upperBounds[i+1],
))
}
} else {
if math.IsInf(upperBound, +1) {
// The +Inf bucket is implicit. Remove it here.
h.upperBounds = h.upperBounds[:i]
}
}
}
// Finally we know the final length of h.upperBounds and can make counts.
h.counts = make([]uint64, len(h.upperBounds))
h.init(h) // Init self-collection.
return h
}
type histogram struct {
// sumBits contains the bits of the float64 representing the sum of all
// observations. sumBits and count have to go first in the struct to
// guarantee alignment for atomic operations.
// http://golang.org/pkg/sync/atomic/#pkg-note-BUG
sumBits uint64
count uint64
selfCollector
// Note that there is no mutex required.
desc *Desc
upperBounds []float64
counts []uint64
labelPairs []*dto.LabelPair
}
func (h *histogram) Desc() *Desc {
return h.desc
}
func (h *histogram) Observe(v float64) {
// TODO(beorn7): For small numbers of buckets (<30), a linear search is
// slightly faster than the binary search. If we really care, we could
// switch from one search strategy to the other depending on the number
// of buckets.
//
// Microbenchmarks (BenchmarkHistogramNoLabels):
// 11 buckets: 38.3 ns/op linear - binary 48.7 ns/op
// 100 buckets: 78.1 ns/op linear - binary 54.9 ns/op
// 300 buckets: 154 ns/op linear - binary 61.6 ns/op
i := sort.SearchFloat64s(h.upperBounds, v)
if i < len(h.counts) {
atomic.AddUint64(&h.counts[i], 1)
}
atomic.AddUint64(&h.count, 1)
for {
oldBits := atomic.LoadUint64(&h.sumBits)
newBits := math.Float64bits(math.Float64frombits(oldBits) + v)
if atomic.CompareAndSwapUint64(&h.sumBits, oldBits, newBits) {
break
}
}
}
func (h *histogram) Write(out *dto.Metric) error {
his := &dto.Histogram{}
buckets := make([]*dto.Bucket, len(h.upperBounds))
his.SampleSum = proto.Float64(math.Float64frombits(atomic.LoadUint64(&h.sumBits)))
his.SampleCount = proto.Uint64(atomic.LoadUint64(&h.count))
var count uint64
for i, upperBound := range h.upperBounds {
count += atomic.LoadUint64(&h.counts[i])
buckets[i] = &dto.Bucket{
CumulativeCount: proto.Uint64(count),
UpperBound: proto.Float64(upperBound),
}
}
his.Bucket = buckets
out.Histogram = his
out.Label = h.labelPairs
return nil
}
// HistogramVec is a Collector that bundles a set of Histograms that all share the
// same Desc, but have different values for their variable labels. This is used
// if you want to count the same thing partitioned by various dimensions
// (e.g. HTTP request latencies, partitioned by status code and method). Create
// instances with NewHistogramVec.
type HistogramVec struct {
*metricVec
}
// NewHistogramVec creates a new HistogramVec based on the provided HistogramOpts and
// partitioned by the given label names.
func NewHistogramVec(opts HistogramOpts, labelNames []string) *HistogramVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &HistogramVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
return newHistogram(desc, opts, lvs...)
}),
}
}
// GetMetricWithLabelValues returns the Histogram for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// label values is accessed for the first time, a new Histogram is created.
//
// It is possible to call this method without using the returned Histogram to only
// create the new Histogram but leave it at its starting value, a Histogram without
// any observations.
//
// Keeping the Histogram for later use is possible (and should be considered if
// performance is critical), but keep in mind that Reset, DeleteLabelValues and
// Delete can be used to delete the Histogram from the HistogramVec. In that case, the
// Histogram will still exist, but it will not be exported anymore, even if a
// Histogram with the same label values is created later. See also the CounterVec
// example.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
// an alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
// See also the GaugeVec example.
func (v *HistogramVec) GetMetricWithLabelValues(lvs ...string) (Observer, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Observer), err
}
return nil, err
}
// GetMetricWith returns the Histogram for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// accessed for the first time, a new Histogram is created. Implications of
// creating a Histogram without using it and keeping the Histogram for later use
// are the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *HistogramVec) GetMetricWith(labels Labels) (Observer, error) {
metric, err := v.metricVec.getMetricWith(labels)
if metric != nil {
return metric.(Observer), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. Not returning an
// error allows shortcuts like
// myVec.WithLabelValues("404", "GET").Observe(42.21)
func (v *HistogramVec) WithLabelValues(lvs ...string) Observer {
h, err := v.GetMetricWithLabelValues(lvs...)
if err != nil {
panic(err)
}
return h
}
// With works as GetMetricWith but panics where GetMetricWithLabels would have
// returned an error. Not returning an error allows shortcuts like
// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21)
func (v *HistogramVec) With(labels Labels) Observer {
h, err := v.GetMetricWith(labels)
if err != nil {
panic(err)
}
return h
}
// CurryWith returns a vector curried with the provided labels, i.e. the
// returned vector has those labels pre-set for all labeled operations performed
// on it. The cardinality of the curried vector is reduced accordingly. The
// order of the remaining labels stays the same (just with the curried labels
// taken out of the sequence – which is relevant for the
// (GetMetric)WithLabelValues methods). It is possible to curry a curried
// vector, but only with labels not yet used for currying before.
//
// The metrics contained in the HistogramVec are shared between the curried and
// uncurried vectors. They are just accessed differently. Curried and uncurried
// vectors behave identically in terms of collection. Only one must be
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *HistogramVec) CurryWith(labels Labels) (ObserverVec, error) {
vec, err := v.curryWith(labels)
if vec != nil {
return &HistogramVec{vec}, err
}
return nil, err
}
// MustCurryWith works as CurryWith but panics where CurryWith would have
// returned an error.
func (v *HistogramVec) MustCurryWith(labels Labels) ObserverVec {
vec, err := v.CurryWith(labels)
if err != nil {
panic(err)
}
return vec
}
type constHistogram struct {
desc *Desc
count uint64
sum float64
buckets map[float64]uint64
labelPairs []*dto.LabelPair
}
func (h *constHistogram) Desc() *Desc {
return h.desc
}
func (h *constHistogram) Write(out *dto.Metric) error {
his := &dto.Histogram{}
buckets := make([]*dto.Bucket, 0, len(h.buckets))
his.SampleCount = proto.Uint64(h.count)
his.SampleSum = proto.Float64(h.sum)
for upperBound, count := range h.buckets {
buckets = append(buckets, &dto.Bucket{
CumulativeCount: proto.Uint64(count),
UpperBound: proto.Float64(upperBound),
})
}
if len(buckets) > 0 {
sort.Sort(buckSort(buckets))
}
his.Bucket = buckets
out.Histogram = his
out.Label = h.labelPairs
return nil
}
// NewConstHistogram returns a metric representing a Prometheus histogram with
// fixed values for the count, sum, and bucket counts. As those parameters
// cannot be changed, the returned value does not implement the Histogram
// interface (but only the Metric interface). Users of this package will not
// have much use for it in regular operations. However, when implementing custom
// Collectors, it is useful as a throw-away metric that is generated on the fly
// to send it to Prometheus in the Collect method.
//
// buckets is a map of upper bounds to cumulative counts, excluding the +Inf
// bucket.
//
// NewConstHistogram returns an error if the length of labelValues is not
// consistent with the variable labels in Desc.
func NewConstHistogram(
desc *Desc,
count uint64,
sum float64,
buckets map[float64]uint64,
labelValues ...string,
) (Metric, error) {
if err := validateLabelValues(labelValues, len(desc.variableLabels)); err != nil {
return nil, err
}
return &constHistogram{
desc: desc,
count: count,
sum: sum,
buckets: buckets,
labelPairs: makeLabelPairs(desc, labelValues),
}, nil
}
// MustNewConstHistogram is a version of NewConstHistogram that panics where
// NewConstMetric would have returned an error.
func MustNewConstHistogram(
desc *Desc,
count uint64,
sum float64,
buckets map[float64]uint64,
labelValues ...string,
) Metric {
m, err := NewConstHistogram(desc, count, sum, buckets, labelValues...)
if err != nil {
panic(err)
}
return m
}
type buckSort []*dto.Bucket
func (s buckSort) Len() int {
return len(s)
}
func (s buckSort) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s buckSort) Less(i, j int) bool {
return s[i].GetUpperBound() < s[j].GetUpperBound()
}
+524
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@@ -0,0 +1,524 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"bufio"
"bytes"
"compress/gzip"
"fmt"
"io"
"net"
"net/http"
"strconv"
"strings"
"sync"
"time"
"github.com/prometheus/common/expfmt"
)
// TODO(beorn7): Remove this whole file. It is a partial mirror of
// promhttp/http.go (to avoid circular import chains) where everything HTTP
// related should live. The functions here are just for avoiding
// breakage. Everything is deprecated.
const (
contentTypeHeader = "Content-Type"
contentLengthHeader = "Content-Length"
contentEncodingHeader = "Content-Encoding"
acceptEncodingHeader = "Accept-Encoding"
)
var bufPool sync.Pool
func getBuf() *bytes.Buffer {
buf := bufPool.Get()
if buf == nil {
return &bytes.Buffer{}
}
return buf.(*bytes.Buffer)
}
func giveBuf(buf *bytes.Buffer) {
buf.Reset()
bufPool.Put(buf)
}
// Handler returns an HTTP handler for the DefaultGatherer. It is
// already instrumented with InstrumentHandler (using "prometheus" as handler
// name).
//
// Deprecated: Please note the issues described in the doc comment of
// InstrumentHandler. You might want to consider using promhttp.Handler instead
// (which is not instrumented, but can be instrumented with the tooling provided
// in package promhttp).
func Handler() http.Handler {
return InstrumentHandler("prometheus", UninstrumentedHandler())
}
// UninstrumentedHandler returns an HTTP handler for the DefaultGatherer.
//
// Deprecated: Use promhttp.Handler instead. See there for further documentation.
func UninstrumentedHandler() http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, req *http.Request) {
mfs, err := DefaultGatherer.Gather()
if err != nil {
http.Error(w, "An error has occurred during metrics collection:\n\n"+err.Error(), http.StatusInternalServerError)
return
}
contentType := expfmt.Negotiate(req.Header)
buf := getBuf()
defer giveBuf(buf)
writer, encoding := decorateWriter(req, buf)
enc := expfmt.NewEncoder(writer, contentType)
var lastErr error
for _, mf := range mfs {
if err := enc.Encode(mf); err != nil {
lastErr = err
http.Error(w, "An error has occurred during metrics encoding:\n\n"+err.Error(), http.StatusInternalServerError)
return
}
}
if closer, ok := writer.(io.Closer); ok {
closer.Close()
}
if lastErr != nil && buf.Len() == 0 {
http.Error(w, "No metrics encoded, last error:\n\n"+lastErr.Error(), http.StatusInternalServerError)
return
}
header := w.Header()
header.Set(contentTypeHeader, string(contentType))
header.Set(contentLengthHeader, fmt.Sprint(buf.Len()))
if encoding != "" {
header.Set(contentEncodingHeader, encoding)
}
w.Write(buf.Bytes())
})
}
// decorateWriter wraps a writer to handle gzip compression if requested. It
// returns the decorated writer and the appropriate "Content-Encoding" header
// (which is empty if no compression is enabled).
func decorateWriter(request *http.Request, writer io.Writer) (io.Writer, string) {
header := request.Header.Get(acceptEncodingHeader)
parts := strings.Split(header, ",")
for _, part := range parts {
part := strings.TrimSpace(part)
if part == "gzip" || strings.HasPrefix(part, "gzip;") {
return gzip.NewWriter(writer), "gzip"
}
}
return writer, ""
}
var instLabels = []string{"method", "code"}
type nower interface {
Now() time.Time
}
type nowFunc func() time.Time
func (n nowFunc) Now() time.Time {
return n()
}
var now nower = nowFunc(func() time.Time {
return time.Now()
})
func nowSeries(t ...time.Time) nower {
return nowFunc(func() time.Time {
defer func() {
t = t[1:]
}()
return t[0]
})
}
// InstrumentHandler wraps the given HTTP handler for instrumentation. It
// registers four metric collectors (if not already done) and reports HTTP
// metrics to the (newly or already) registered collectors: http_requests_total
// (CounterVec), http_request_duration_microseconds (Summary),
// http_request_size_bytes (Summary), http_response_size_bytes (Summary). Each
// has a constant label named "handler" with the provided handlerName as
// value. http_requests_total is a metric vector partitioned by HTTP method
// (label name "method") and HTTP status code (label name "code").
//
// Deprecated: InstrumentHandler has several issues. Use the tooling provided in
// package promhttp instead. The issues are the following:
//
// - It uses Summaries rather than Histograms. Summaries are not useful if
// aggregation across multiple instances is required.
//
// - It uses microseconds as unit, which is deprecated and should be replaced by
// seconds.
//
// - The size of the request is calculated in a separate goroutine. Since this
// calculator requires access to the request header, it creates a race with
// any writes to the header performed during request handling.
// httputil.ReverseProxy is a prominent example for a handler
// performing such writes.
//
// - It has additional issues with HTTP/2, cf.
// https://github.com/prometheus/client_golang/issues/272.
func InstrumentHandler(handlerName string, handler http.Handler) http.HandlerFunc {
return InstrumentHandlerFunc(handlerName, handler.ServeHTTP)
}
// InstrumentHandlerFunc wraps the given function for instrumentation. It
// otherwise works in the same way as InstrumentHandler (and shares the same
// issues).
//
// Deprecated: InstrumentHandlerFunc is deprecated for the same reasons as
// InstrumentHandler is. Use the tooling provided in package promhttp instead.
func InstrumentHandlerFunc(handlerName string, handlerFunc func(http.ResponseWriter, *http.Request)) http.HandlerFunc {
return InstrumentHandlerFuncWithOpts(
SummaryOpts{
Subsystem: "http",
ConstLabels: Labels{"handler": handlerName},
Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},
},
handlerFunc,
)
}
// InstrumentHandlerWithOpts works like InstrumentHandler (and shares the same
// issues) but provides more flexibility (at the cost of a more complex call
// syntax). As InstrumentHandler, this function registers four metric
// collectors, but it uses the provided SummaryOpts to create them. However, the
// fields "Name" and "Help" in the SummaryOpts are ignored. "Name" is replaced
// by "requests_total", "request_duration_microseconds", "request_size_bytes",
// and "response_size_bytes", respectively. "Help" is replaced by an appropriate
// help string. The names of the variable labels of the http_requests_total
// CounterVec are "method" (get, post, etc.), and "code" (HTTP status code).
//
// If InstrumentHandlerWithOpts is called as follows, it mimics exactly the
// behavior of InstrumentHandler:
//
// prometheus.InstrumentHandlerWithOpts(
// prometheus.SummaryOpts{
// Subsystem: "http",
// ConstLabels: prometheus.Labels{"handler": handlerName},
// },
// handler,
// )
//
// Technical detail: "requests_total" is a CounterVec, not a SummaryVec, so it
// cannot use SummaryOpts. Instead, a CounterOpts struct is created internally,
// and all its fields are set to the equally named fields in the provided
// SummaryOpts.
//
// Deprecated: InstrumentHandlerWithOpts is deprecated for the same reasons as
// InstrumentHandler is. Use the tooling provided in package promhttp instead.
func InstrumentHandlerWithOpts(opts SummaryOpts, handler http.Handler) http.HandlerFunc {
return InstrumentHandlerFuncWithOpts(opts, handler.ServeHTTP)
}
// InstrumentHandlerFuncWithOpts works like InstrumentHandlerFunc (and shares
// the same issues) but provides more flexibility (at the cost of a more complex
// call syntax). See InstrumentHandlerWithOpts for details how the provided
// SummaryOpts are used.
//
// Deprecated: InstrumentHandlerFuncWithOpts is deprecated for the same reasons
// as InstrumentHandler is. Use the tooling provided in package promhttp instead.
func InstrumentHandlerFuncWithOpts(opts SummaryOpts, handlerFunc func(http.ResponseWriter, *http.Request)) http.HandlerFunc {
reqCnt := NewCounterVec(
CounterOpts{
Namespace: opts.Namespace,
Subsystem: opts.Subsystem,
Name: "requests_total",
Help: "Total number of HTTP requests made.",
ConstLabels: opts.ConstLabels,
},
instLabels,
)
if err := Register(reqCnt); err != nil {
if are, ok := err.(AlreadyRegisteredError); ok {
reqCnt = are.ExistingCollector.(*CounterVec)
} else {
panic(err)
}
}
opts.Name = "request_duration_microseconds"
opts.Help = "The HTTP request latencies in microseconds."
reqDur := NewSummary(opts)
if err := Register(reqDur); err != nil {
if are, ok := err.(AlreadyRegisteredError); ok {
reqDur = are.ExistingCollector.(Summary)
} else {
panic(err)
}
}
opts.Name = "request_size_bytes"
opts.Help = "The HTTP request sizes in bytes."
reqSz := NewSummary(opts)
if err := Register(reqSz); err != nil {
if are, ok := err.(AlreadyRegisteredError); ok {
reqSz = are.ExistingCollector.(Summary)
} else {
panic(err)
}
}
opts.Name = "response_size_bytes"
opts.Help = "The HTTP response sizes in bytes."
resSz := NewSummary(opts)
if err := Register(resSz); err != nil {
if are, ok := err.(AlreadyRegisteredError); ok {
resSz = are.ExistingCollector.(Summary)
} else {
panic(err)
}
}
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
now := time.Now()
delegate := &responseWriterDelegator{ResponseWriter: w}
out := computeApproximateRequestSize(r)
_, cn := w.(http.CloseNotifier)
_, fl := w.(http.Flusher)
_, hj := w.(http.Hijacker)
_, rf := w.(io.ReaderFrom)
var rw http.ResponseWriter
if cn && fl && hj && rf {
rw = &fancyResponseWriterDelegator{delegate}
} else {
rw = delegate
}
handlerFunc(rw, r)
elapsed := float64(time.Since(now)) / float64(time.Microsecond)
method := sanitizeMethod(r.Method)
code := sanitizeCode(delegate.status)
reqCnt.WithLabelValues(method, code).Inc()
reqDur.Observe(elapsed)
resSz.Observe(float64(delegate.written))
reqSz.Observe(float64(<-out))
})
}
func computeApproximateRequestSize(r *http.Request) <-chan int {
// Get URL length in current go routine for avoiding a race condition.
// HandlerFunc that runs in parallel may modify the URL.
s := 0
if r.URL != nil {
s += len(r.URL.String())
}
out := make(chan int, 1)
go func() {
s += len(r.Method)
s += len(r.Proto)
for name, values := range r.Header {
s += len(name)
for _, value := range values {
s += len(value)
}
}
s += len(r.Host)
// N.B. r.Form and r.MultipartForm are assumed to be included in r.URL.
if r.ContentLength != -1 {
s += int(r.ContentLength)
}
out <- s
close(out)
}()
return out
}
type responseWriterDelegator struct {
http.ResponseWriter
handler, method string
status int
written int64
wroteHeader bool
}
func (r *responseWriterDelegator) WriteHeader(code int) {
r.status = code
r.wroteHeader = true
r.ResponseWriter.WriteHeader(code)
}
func (r *responseWriterDelegator) Write(b []byte) (int, error) {
if !r.wroteHeader {
r.WriteHeader(http.StatusOK)
}
n, err := r.ResponseWriter.Write(b)
r.written += int64(n)
return n, err
}
type fancyResponseWriterDelegator struct {
*responseWriterDelegator
}
func (f *fancyResponseWriterDelegator) CloseNotify() <-chan bool {
return f.ResponseWriter.(http.CloseNotifier).CloseNotify()
}
func (f *fancyResponseWriterDelegator) Flush() {
f.ResponseWriter.(http.Flusher).Flush()
}
func (f *fancyResponseWriterDelegator) Hijack() (net.Conn, *bufio.ReadWriter, error) {
return f.ResponseWriter.(http.Hijacker).Hijack()
}
func (f *fancyResponseWriterDelegator) ReadFrom(r io.Reader) (int64, error) {
if !f.wroteHeader {
f.WriteHeader(http.StatusOK)
}
n, err := f.ResponseWriter.(io.ReaderFrom).ReadFrom(r)
f.written += n
return n, err
}
func sanitizeMethod(m string) string {
switch m {
case "GET", "get":
return "get"
case "PUT", "put":
return "put"
case "HEAD", "head":
return "head"
case "POST", "post":
return "post"
case "DELETE", "delete":
return "delete"
case "CONNECT", "connect":
return "connect"
case "OPTIONS", "options":
return "options"
case "NOTIFY", "notify":
return "notify"
default:
return strings.ToLower(m)
}
}
func sanitizeCode(s int) string {
switch s {
case 100:
return "100"
case 101:
return "101"
case 200:
return "200"
case 201:
return "201"
case 202:
return "202"
case 203:
return "203"
case 204:
return "204"
case 205:
return "205"
case 206:
return "206"
case 300:
return "300"
case 301:
return "301"
case 302:
return "302"
case 304:
return "304"
case 305:
return "305"
case 307:
return "307"
case 400:
return "400"
case 401:
return "401"
case 402:
return "402"
case 403:
return "403"
case 404:
return "404"
case 405:
return "405"
case 406:
return "406"
case 407:
return "407"
case 408:
return "408"
case 409:
return "409"
case 410:
return "410"
case 411:
return "411"
case 412:
return "412"
case 413:
return "413"
case 414:
return "414"
case 415:
return "415"
case 416:
return "416"
case 417:
return "417"
case 418:
return "418"
case 500:
return "500"
case 501:
return "501"
case 502:
return "502"
case 503:
return "503"
case 504:
return "504"
case 505:
return "505"
case 428:
return "428"
case 429:
return "429"
case 431:
return "431"
case 511:
return "511"
default:
return strconv.Itoa(s)
}
}
+57
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@@ -0,0 +1,57 @@
package prometheus
import (
"errors"
"fmt"
"strings"
"unicode/utf8"
"github.com/prometheus/common/model"
)
// Labels represents a collection of label name -> value mappings. This type is
// commonly used with the With(Labels) and GetMetricWith(Labels) methods of
// metric vector Collectors, e.g.:
// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
//
// The other use-case is the specification of constant label pairs in Opts or to
// create a Desc.
type Labels map[string]string
// reservedLabelPrefix is a prefix which is not legal in user-supplied
// label names.
const reservedLabelPrefix = "__"
var errInconsistentCardinality = errors.New("inconsistent label cardinality")
func validateValuesInLabels(labels Labels, expectedNumberOfValues int) error {
if len(labels) != expectedNumberOfValues {
return errInconsistentCardinality
}
for name, val := range labels {
if !utf8.ValidString(val) {
return fmt.Errorf("label %s: value %q is not valid UTF-8", name, val)
}
}
return nil
}
func validateLabelValues(vals []string, expectedNumberOfValues int) error {
if len(vals) != expectedNumberOfValues {
return errInconsistentCardinality
}
for _, val := range vals {
if !utf8.ValidString(val) {
return fmt.Errorf("label value %q is not valid UTF-8", val)
}
}
return nil
}
func checkLabelName(l string) bool {
return model.LabelName(l).IsValid() && !strings.HasPrefix(l, reservedLabelPrefix)
}
+158
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@@ -0,0 +1,158 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"strings"
dto "github.com/prometheus/client_model/go"
)
const separatorByte byte = 255
// A Metric models a single sample value with its meta data being exported to
// Prometheus. Implementations of Metric in this package are Gauge, Counter,
// Histogram, Summary, and Untyped.
type Metric interface {
// Desc returns the descriptor for the Metric. This method idempotently
// returns the same descriptor throughout the lifetime of the
// Metric. The returned descriptor is immutable by contract. A Metric
// unable to describe itself must return an invalid descriptor (created
// with NewInvalidDesc).
Desc() *Desc
// Write encodes the Metric into a "Metric" Protocol Buffer data
// transmission object.
//
// Metric implementations must observe concurrency safety as reads of
// this metric may occur at any time, and any blocking occurs at the
// expense of total performance of rendering all registered
// metrics. Ideally, Metric implementations should support concurrent
// readers.
//
// While populating dto.Metric, it is the responsibility of the
// implementation to ensure validity of the Metric protobuf (like valid
// UTF-8 strings or syntactically valid metric and label names). It is
// recommended to sort labels lexicographically. (Implementers may find
// LabelPairSorter useful for that.) Callers of Write should still make
// sure of sorting if they depend on it.
Write(*dto.Metric) error
// TODO(beorn7): The original rationale of passing in a pre-allocated
// dto.Metric protobuf to save allocations has disappeared. The
// signature of this method should be changed to "Write() (*dto.Metric,
// error)".
}
// Opts bundles the options for creating most Metric types. Each metric
// implementation XXX has its own XXXOpts type, but in most cases, it is just be
// an alias of this type (which might change when the requirement arises.)
//
// It is mandatory to set Name and Help to a non-empty string. All other fields
// are optional and can safely be left at their zero value.
type Opts struct {
// Namespace, Subsystem, and Name are components of the fully-qualified
// name of the Metric (created by joining these components with
// "_"). Only Name is mandatory, the others merely help structuring the
// name. Note that the fully-qualified name of the metric must be a
// valid Prometheus metric name.
Namespace string
Subsystem string
Name string
// Help provides information about this metric. Mandatory!
//
// Metrics with the same fully-qualified name must have the same Help
// string.
Help string
// ConstLabels are used to attach fixed labels to this metric. Metrics
// with the same fully-qualified name must have the same label names in
// their ConstLabels.
//
// ConstLabels are only used rarely. In particular, do not use them to
// attach the same labels to all your metrics. Those use cases are
// better covered by target labels set by the scraping Prometheus
// server, or by one specific metric (e.g. a build_info or a
// machine_role metric). See also
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels,-not-static-scraped-labels
ConstLabels Labels
}
// BuildFQName joins the given three name components by "_". Empty name
// components are ignored. If the name parameter itself is empty, an empty
// string is returned, no matter what. Metric implementations included in this
// library use this function internally to generate the fully-qualified metric
// name from the name component in their Opts. Users of the library will only
// need this function if they implement their own Metric or instantiate a Desc
// (with NewDesc) directly.
func BuildFQName(namespace, subsystem, name string) string {
if name == "" {
return ""
}
switch {
case namespace != "" && subsystem != "":
return strings.Join([]string{namespace, subsystem, name}, "_")
case namespace != "":
return strings.Join([]string{namespace, name}, "_")
case subsystem != "":
return strings.Join([]string{subsystem, name}, "_")
}
return name
}
// LabelPairSorter implements sort.Interface. It is used to sort a slice of
// dto.LabelPair pointers. This is useful for implementing the Write method of
// custom metrics.
type LabelPairSorter []*dto.LabelPair
func (s LabelPairSorter) Len() int {
return len(s)
}
func (s LabelPairSorter) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s LabelPairSorter) Less(i, j int) bool {
return s[i].GetName() < s[j].GetName()
}
type hashSorter []uint64
func (s hashSorter) Len() int {
return len(s)
}
func (s hashSorter) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s hashSorter) Less(i, j int) bool {
return s[i] < s[j]
}
type invalidMetric struct {
desc *Desc
err error
}
// NewInvalidMetric returns a metric whose Write method always returns the
// provided error. It is useful if a Collector finds itself unable to collect
// a metric and wishes to report an error to the registry.
func NewInvalidMetric(desc *Desc, err error) Metric {
return &invalidMetric{desc, err}
}
func (m *invalidMetric) Desc() *Desc { return m.desc }
func (m *invalidMetric) Write(*dto.Metric) error { return m.err }
+52
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@@ -0,0 +1,52 @@
// Copyright 2017 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
// Observer is the interface that wraps the Observe method, which is used by
// Histogram and Summary to add observations.
type Observer interface {
Observe(float64)
}
// The ObserverFunc type is an adapter to allow the use of ordinary
// functions as Observers. If f is a function with the appropriate
// signature, ObserverFunc(f) is an Observer that calls f.
//
// This adapter is usually used in connection with the Timer type, and there are
// two general use cases:
//
// The most common one is to use a Gauge as the Observer for a Timer.
// See the "Gauge" Timer example.
//
// The more advanced use case is to create a function that dynamically decides
// which Observer to use for observing the duration. See the "Complex" Timer
// example.
type ObserverFunc func(float64)
// Observe calls f(value). It implements Observer.
func (f ObserverFunc) Observe(value float64) {
f(value)
}
// ObserverVec is an interface implemented by `HistogramVec` and `SummaryVec`.
type ObserverVec interface {
GetMetricWith(Labels) (Observer, error)
GetMetricWithLabelValues(lvs ...string) (Observer, error)
With(Labels) Observer
WithLabelValues(...string) Observer
CurryWith(Labels) (ObserverVec, error)
MustCurryWith(Labels) ObserverVec
Collector
}
@@ -0,0 +1,140 @@
// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import "github.com/prometheus/procfs"
type processCollector struct {
pid int
collectFn func(chan<- Metric)
pidFn func() (int, error)
cpuTotal *Desc
openFDs, maxFDs *Desc
vsize, rss *Desc
startTime *Desc
}
// NewProcessCollector returns a collector which exports the current state of
// process metrics including cpu, memory and file descriptor usage as well as
// the process start time for the given process id under the given namespace.
func NewProcessCollector(pid int, namespace string) Collector {
return NewProcessCollectorPIDFn(
func() (int, error) { return pid, nil },
namespace,
)
}
// NewProcessCollectorPIDFn returns a collector which exports the current state
// of process metrics including cpu, memory and file descriptor usage as well
// as the process start time under the given namespace. The given pidFn is
// called on each collect and is used to determine the process to export
// metrics for.
func NewProcessCollectorPIDFn(
pidFn func() (int, error),
namespace string,
) Collector {
ns := ""
if len(namespace) > 0 {
ns = namespace + "_"
}
c := processCollector{
pidFn: pidFn,
collectFn: func(chan<- Metric) {},
cpuTotal: NewDesc(
ns+"process_cpu_seconds_total",
"Total user and system CPU time spent in seconds.",
nil, nil,
),
openFDs: NewDesc(
ns+"process_open_fds",
"Number of open file descriptors.",
nil, nil,
),
maxFDs: NewDesc(
ns+"process_max_fds",
"Maximum number of open file descriptors.",
nil, nil,
),
vsize: NewDesc(
ns+"process_virtual_memory_bytes",
"Virtual memory size in bytes.",
nil, nil,
),
rss: NewDesc(
ns+"process_resident_memory_bytes",
"Resident memory size in bytes.",
nil, nil,
),
startTime: NewDesc(
ns+"process_start_time_seconds",
"Start time of the process since unix epoch in seconds.",
nil, nil,
),
}
// Set up process metric collection if supported by the runtime.
if _, err := procfs.NewStat(); err == nil {
c.collectFn = c.processCollect
}
return &c
}
// Describe returns all descriptions of the collector.
func (c *processCollector) Describe(ch chan<- *Desc) {
ch <- c.cpuTotal
ch <- c.openFDs
ch <- c.maxFDs
ch <- c.vsize
ch <- c.rss
ch <- c.startTime
}
// Collect returns the current state of all metrics of the collector.
func (c *processCollector) Collect(ch chan<- Metric) {
c.collectFn(ch)
}
// TODO(ts): Bring back error reporting by reverting 7faf9e7 as soon as the
// client allows users to configure the error behavior.
func (c *processCollector) processCollect(ch chan<- Metric) {
pid, err := c.pidFn()
if err != nil {
return
}
p, err := procfs.NewProc(pid)
if err != nil {
return
}
if stat, err := p.NewStat(); err == nil {
ch <- MustNewConstMetric(c.cpuTotal, CounterValue, stat.CPUTime())
ch <- MustNewConstMetric(c.vsize, GaugeValue, float64(stat.VirtualMemory()))
ch <- MustNewConstMetric(c.rss, GaugeValue, float64(stat.ResidentMemory()))
if startTime, err := stat.StartTime(); err == nil {
ch <- MustNewConstMetric(c.startTime, GaugeValue, startTime)
}
}
if fds, err := p.FileDescriptorsLen(); err == nil {
ch <- MustNewConstMetric(c.openFDs, GaugeValue, float64(fds))
}
if limits, err := p.NewLimits(); err == nil {
ch <- MustNewConstMetric(c.maxFDs, GaugeValue, float64(limits.OpenFiles))
}
}
+762
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@@ -0,0 +1,762 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"bytes"
"errors"
"fmt"
"os"
"sort"
"sync"
"unicode/utf8"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
)
const (
// Capacity for the channel to collect metrics and descriptors.
capMetricChan = 1000
capDescChan = 10
)
// DefaultRegisterer and DefaultGatherer are the implementations of the
// Registerer and Gatherer interface a number of convenience functions in this
// package act on. Initially, both variables point to the same Registry, which
// has a process collector (see NewProcessCollector) and a Go collector (see
// NewGoCollector) already registered. This approach to keep default instances
// as global state mirrors the approach of other packages in the Go standard
// library. Note that there are caveats. Change the variables with caution and
// only if you understand the consequences. Users who want to avoid global state
// altogether should not use the convenience function and act on custom
// instances instead.
var (
defaultRegistry = NewRegistry()
DefaultRegisterer Registerer = defaultRegistry
DefaultGatherer Gatherer = defaultRegistry
)
func init() {
MustRegister(NewProcessCollector(os.Getpid(), ""))
MustRegister(NewGoCollector())
}
// NewRegistry creates a new vanilla Registry without any Collectors
// pre-registered.
func NewRegistry() *Registry {
return &Registry{
collectorsByID: map[uint64]Collector{},
descIDs: map[uint64]struct{}{},
dimHashesByName: map[string]uint64{},
}
}
// NewPedanticRegistry returns a registry that checks during collection if each
// collected Metric is consistent with its reported Desc, and if the Desc has
// actually been registered with the registry.
//
// Usually, a Registry will be happy as long as the union of all collected
// Metrics is consistent and valid even if some metrics are not consistent with
// their own Desc or a Desc provided by their registered Collector. Well-behaved
// Collectors and Metrics will only provide consistent Descs. This Registry is
// useful to test the implementation of Collectors and Metrics.
func NewPedanticRegistry() *Registry {
r := NewRegistry()
r.pedanticChecksEnabled = true
return r
}
// Registerer is the interface for the part of a registry in charge of
// registering and unregistering. Users of custom registries should use
// Registerer as type for registration purposes (rather than the Registry type
// directly). In that way, they are free to use custom Registerer implementation
// (e.g. for testing purposes).
type Registerer interface {
// Register registers a new Collector to be included in metrics
// collection. It returns an error if the descriptors provided by the
// Collector are invalid or if they — in combination with descriptors of
// already registered Collectors — do not fulfill the consistency and
// uniqueness criteria described in the documentation of metric.Desc.
//
// If the provided Collector is equal to a Collector already registered
// (which includes the case of re-registering the same Collector), the
// returned error is an instance of AlreadyRegisteredError, which
// contains the previously registered Collector.
//
// It is in general not safe to register the same Collector multiple
// times concurrently.
Register(Collector) error
// MustRegister works like Register but registers any number of
// Collectors and panics upon the first registration that causes an
// error.
MustRegister(...Collector)
// Unregister unregisters the Collector that equals the Collector passed
// in as an argument. (Two Collectors are considered equal if their
// Describe method yields the same set of descriptors.) The function
// returns whether a Collector was unregistered.
//
// Note that even after unregistering, it will not be possible to
// register a new Collector that is inconsistent with the unregistered
// Collector, e.g. a Collector collecting metrics with the same name but
// a different help string. The rationale here is that the same registry
// instance must only collect consistent metrics throughout its
// lifetime.
Unregister(Collector) bool
}
// Gatherer is the interface for the part of a registry in charge of gathering
// the collected metrics into a number of MetricFamilies. The Gatherer interface
// comes with the same general implication as described for the Registerer
// interface.
type Gatherer interface {
// Gather calls the Collect method of the registered Collectors and then
// gathers the collected metrics into a lexicographically sorted slice
// of MetricFamily protobufs. Even if an error occurs, Gather attempts
// to gather as many metrics as possible. Hence, if a non-nil error is
// returned, the returned MetricFamily slice could be nil (in case of a
// fatal error that prevented any meaningful metric collection) or
// contain a number of MetricFamily protobufs, some of which might be
// incomplete, and some might be missing altogether. The returned error
// (which might be a MultiError) explains the details. In scenarios
// where complete collection is critical, the returned MetricFamily
// protobufs should be disregarded if the returned error is non-nil.
Gather() ([]*dto.MetricFamily, error)
}
// Register registers the provided Collector with the DefaultRegisterer.
//
// Register is a shortcut for DefaultRegisterer.Register(c). See there for more
// details.
func Register(c Collector) error {
return DefaultRegisterer.Register(c)
}
// MustRegister registers the provided Collectors with the DefaultRegisterer and
// panics if any error occurs.
//
// MustRegister is a shortcut for DefaultRegisterer.MustRegister(cs...). See
// there for more details.
func MustRegister(cs ...Collector) {
DefaultRegisterer.MustRegister(cs...)
}
// Unregister removes the registration of the provided Collector from the
// DefaultRegisterer.
//
// Unregister is a shortcut for DefaultRegisterer.Unregister(c). See there for
// more details.
func Unregister(c Collector) bool {
return DefaultRegisterer.Unregister(c)
}
// GathererFunc turns a function into a Gatherer.
type GathererFunc func() ([]*dto.MetricFamily, error)
// Gather implements Gatherer.
func (gf GathererFunc) Gather() ([]*dto.MetricFamily, error) {
return gf()
}
// AlreadyRegisteredError is returned by the Register method if the Collector to
// be registered has already been registered before, or a different Collector
// that collects the same metrics has been registered before. Registration fails
// in that case, but you can detect from the kind of error what has
// happened. The error contains fields for the existing Collector and the
// (rejected) new Collector that equals the existing one. This can be used to
// find out if an equal Collector has been registered before and switch over to
// using the old one, as demonstrated in the example.
type AlreadyRegisteredError struct {
ExistingCollector, NewCollector Collector
}
func (err AlreadyRegisteredError) Error() string {
return "duplicate metrics collector registration attempted"
}
// MultiError is a slice of errors implementing the error interface. It is used
// by a Gatherer to report multiple errors during MetricFamily gathering.
type MultiError []error
func (errs MultiError) Error() string {
if len(errs) == 0 {
return ""
}
buf := &bytes.Buffer{}
fmt.Fprintf(buf, "%d error(s) occurred:", len(errs))
for _, err := range errs {
fmt.Fprintf(buf, "\n* %s", err)
}
return buf.String()
}
// MaybeUnwrap returns nil if len(errs) is 0. It returns the first and only
// contained error as error if len(errs is 1). In all other cases, it returns
// the MultiError directly. This is helpful for returning a MultiError in a way
// that only uses the MultiError if needed.
func (errs MultiError) MaybeUnwrap() error {
switch len(errs) {
case 0:
return nil
case 1:
return errs[0]
default:
return errs
}
}
// Registry registers Prometheus collectors, collects their metrics, and gathers
// them into MetricFamilies for exposition. It implements both Registerer and
// Gatherer. The zero value is not usable. Create instances with NewRegistry or
// NewPedanticRegistry.
type Registry struct {
mtx sync.RWMutex
collectorsByID map[uint64]Collector // ID is a hash of the descIDs.
descIDs map[uint64]struct{}
dimHashesByName map[string]uint64
pedanticChecksEnabled bool
}
// Register implements Registerer.
func (r *Registry) Register(c Collector) error {
var (
descChan = make(chan *Desc, capDescChan)
newDescIDs = map[uint64]struct{}{}
newDimHashesByName = map[string]uint64{}
collectorID uint64 // Just a sum of all desc IDs.
duplicateDescErr error
)
go func() {
c.Describe(descChan)
close(descChan)
}()
r.mtx.Lock()
defer r.mtx.Unlock()
// Conduct various tests...
for desc := range descChan {
// Is the descriptor valid at all?
if desc.err != nil {
return fmt.Errorf("descriptor %s is invalid: %s", desc, desc.err)
}
// Is the descID unique?
// (In other words: Is the fqName + constLabel combination unique?)
if _, exists := r.descIDs[desc.id]; exists {
duplicateDescErr = fmt.Errorf("descriptor %s already exists with the same fully-qualified name and const label values", desc)
}
// If it is not a duplicate desc in this collector, add it to
// the collectorID. (We allow duplicate descs within the same
// collector, but their existence must be a no-op.)
if _, exists := newDescIDs[desc.id]; !exists {
newDescIDs[desc.id] = struct{}{}
collectorID += desc.id
}
// Are all the label names and the help string consistent with
// previous descriptors of the same name?
// First check existing descriptors...
if dimHash, exists := r.dimHashesByName[desc.fqName]; exists {
if dimHash != desc.dimHash {
return fmt.Errorf("a previously registered descriptor with the same fully-qualified name as %s has different label names or a different help string", desc)
}
} else {
// ...then check the new descriptors already seen.
if dimHash, exists := newDimHashesByName[desc.fqName]; exists {
if dimHash != desc.dimHash {
return fmt.Errorf("descriptors reported by collector have inconsistent label names or help strings for the same fully-qualified name, offender is %s", desc)
}
} else {
newDimHashesByName[desc.fqName] = desc.dimHash
}
}
}
// Did anything happen at all?
if len(newDescIDs) == 0 {
return errors.New("collector has no descriptors")
}
if existing, exists := r.collectorsByID[collectorID]; exists {
return AlreadyRegisteredError{
ExistingCollector: existing,
NewCollector: c,
}
}
// If the collectorID is new, but at least one of the descs existed
// before, we are in trouble.
if duplicateDescErr != nil {
return duplicateDescErr
}
// Only after all tests have passed, actually register.
r.collectorsByID[collectorID] = c
for hash := range newDescIDs {
r.descIDs[hash] = struct{}{}
}
for name, dimHash := range newDimHashesByName {
r.dimHashesByName[name] = dimHash
}
return nil
}
// Unregister implements Registerer.
func (r *Registry) Unregister(c Collector) bool {
var (
descChan = make(chan *Desc, capDescChan)
descIDs = map[uint64]struct{}{}
collectorID uint64 // Just a sum of the desc IDs.
)
go func() {
c.Describe(descChan)
close(descChan)
}()
for desc := range descChan {
if _, exists := descIDs[desc.id]; !exists {
collectorID += desc.id
descIDs[desc.id] = struct{}{}
}
}
r.mtx.RLock()
if _, exists := r.collectorsByID[collectorID]; !exists {
r.mtx.RUnlock()
return false
}
r.mtx.RUnlock()
r.mtx.Lock()
defer r.mtx.Unlock()
delete(r.collectorsByID, collectorID)
for id := range descIDs {
delete(r.descIDs, id)
}
// dimHashesByName is left untouched as those must be consistent
// throughout the lifetime of a program.
return true
}
// MustRegister implements Registerer.
func (r *Registry) MustRegister(cs ...Collector) {
for _, c := range cs {
if err := r.Register(c); err != nil {
panic(err)
}
}
}
// Gather implements Gatherer.
func (r *Registry) Gather() ([]*dto.MetricFamily, error) {
var (
metricChan = make(chan Metric, capMetricChan)
metricHashes = map[uint64]struct{}{}
dimHashes = map[string]uint64{}
wg sync.WaitGroup
errs MultiError // The collected errors to return in the end.
registeredDescIDs map[uint64]struct{} // Only used for pedantic checks
)
r.mtx.RLock()
metricFamiliesByName := make(map[string]*dto.MetricFamily, len(r.dimHashesByName))
// Scatter.
// (Collectors could be complex and slow, so we call them all at once.)
wg.Add(len(r.collectorsByID))
go func() {
wg.Wait()
close(metricChan)
}()
for _, collector := range r.collectorsByID {
go func(collector Collector) {
defer wg.Done()
collector.Collect(metricChan)
}(collector)
}
// In case pedantic checks are enabled, we have to copy the map before
// giving up the RLock.
if r.pedanticChecksEnabled {
registeredDescIDs = make(map[uint64]struct{}, len(r.descIDs))
for id := range r.descIDs {
registeredDescIDs[id] = struct{}{}
}
}
r.mtx.RUnlock()
// Drain metricChan in case of premature return.
defer func() {
for range metricChan {
}
}()
// Gather.
for metric := range metricChan {
// This could be done concurrently, too, but it required locking
// of metricFamiliesByName (and of metricHashes if checks are
// enabled). Most likely not worth it.
desc := metric.Desc()
dtoMetric := &dto.Metric{}
if err := metric.Write(dtoMetric); err != nil {
errs = append(errs, fmt.Errorf(
"error collecting metric %v: %s", desc, err,
))
continue
}
metricFamily, ok := metricFamiliesByName[desc.fqName]
if ok {
if metricFamily.GetHelp() != desc.help {
errs = append(errs, fmt.Errorf(
"collected metric %s %s has help %q but should have %q",
desc.fqName, dtoMetric, desc.help, metricFamily.GetHelp(),
))
continue
}
// TODO(beorn7): Simplify switch once Desc has type.
switch metricFamily.GetType() {
case dto.MetricType_COUNTER:
if dtoMetric.Counter == nil {
errs = append(errs, fmt.Errorf(
"collected metric %s %s should be a Counter",
desc.fqName, dtoMetric,
))
continue
}
case dto.MetricType_GAUGE:
if dtoMetric.Gauge == nil {
errs = append(errs, fmt.Errorf(
"collected metric %s %s should be a Gauge",
desc.fqName, dtoMetric,
))
continue
}
case dto.MetricType_SUMMARY:
if dtoMetric.Summary == nil {
errs = append(errs, fmt.Errorf(
"collected metric %s %s should be a Summary",
desc.fqName, dtoMetric,
))
continue
}
case dto.MetricType_UNTYPED:
if dtoMetric.Untyped == nil {
errs = append(errs, fmt.Errorf(
"collected metric %s %s should be Untyped",
desc.fqName, dtoMetric,
))
continue
}
case dto.MetricType_HISTOGRAM:
if dtoMetric.Histogram == nil {
errs = append(errs, fmt.Errorf(
"collected metric %s %s should be a Histogram",
desc.fqName, dtoMetric,
))
continue
}
default:
panic("encountered MetricFamily with invalid type")
}
} else {
metricFamily = &dto.MetricFamily{}
metricFamily.Name = proto.String(desc.fqName)
metricFamily.Help = proto.String(desc.help)
// TODO(beorn7): Simplify switch once Desc has type.
switch {
case dtoMetric.Gauge != nil:
metricFamily.Type = dto.MetricType_GAUGE.Enum()
case dtoMetric.Counter != nil:
metricFamily.Type = dto.MetricType_COUNTER.Enum()
case dtoMetric.Summary != nil:
metricFamily.Type = dto.MetricType_SUMMARY.Enum()
case dtoMetric.Untyped != nil:
metricFamily.Type = dto.MetricType_UNTYPED.Enum()
case dtoMetric.Histogram != nil:
metricFamily.Type = dto.MetricType_HISTOGRAM.Enum()
default:
errs = append(errs, fmt.Errorf(
"empty metric collected: %s", dtoMetric,
))
continue
}
metricFamiliesByName[desc.fqName] = metricFamily
}
if err := checkMetricConsistency(metricFamily, dtoMetric, metricHashes, dimHashes); err != nil {
errs = append(errs, err)
continue
}
if r.pedanticChecksEnabled {
// Is the desc registered at all?
if _, exist := registeredDescIDs[desc.id]; !exist {
errs = append(errs, fmt.Errorf(
"collected metric %s %s with unregistered descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
))
continue
}
if err := checkDescConsistency(metricFamily, dtoMetric, desc); err != nil {
errs = append(errs, err)
continue
}
}
metricFamily.Metric = append(metricFamily.Metric, dtoMetric)
}
return normalizeMetricFamilies(metricFamiliesByName), errs.MaybeUnwrap()
}
// Gatherers is a slice of Gatherer instances that implements the Gatherer
// interface itself. Its Gather method calls Gather on all Gatherers in the
// slice in order and returns the merged results. Errors returned from the
// Gather calles are all returned in a flattened MultiError. Duplicate and
// inconsistent Metrics are skipped (first occurrence in slice order wins) and
// reported in the returned error.
//
// Gatherers can be used to merge the Gather results from multiple
// Registries. It also provides a way to directly inject existing MetricFamily
// protobufs into the gathering by creating a custom Gatherer with a Gather
// method that simply returns the existing MetricFamily protobufs. Note that no
// registration is involved (in contrast to Collector registration), so
// obviously registration-time checks cannot happen. Any inconsistencies between
// the gathered MetricFamilies are reported as errors by the Gather method, and
// inconsistent Metrics are dropped. Invalid parts of the MetricFamilies
// (e.g. syntactically invalid metric or label names) will go undetected.
type Gatherers []Gatherer
// Gather implements Gatherer.
func (gs Gatherers) Gather() ([]*dto.MetricFamily, error) {
var (
metricFamiliesByName = map[string]*dto.MetricFamily{}
metricHashes = map[uint64]struct{}{}
dimHashes = map[string]uint64{}
errs MultiError // The collected errors to return in the end.
)
for i, g := range gs {
mfs, err := g.Gather()
if err != nil {
if multiErr, ok := err.(MultiError); ok {
for _, err := range multiErr {
errs = append(errs, fmt.Errorf("[from Gatherer #%d] %s", i+1, err))
}
} else {
errs = append(errs, fmt.Errorf("[from Gatherer #%d] %s", i+1, err))
}
}
for _, mf := range mfs {
existingMF, exists := metricFamiliesByName[mf.GetName()]
if exists {
if existingMF.GetHelp() != mf.GetHelp() {
errs = append(errs, fmt.Errorf(
"gathered metric family %s has help %q but should have %q",
mf.GetName(), mf.GetHelp(), existingMF.GetHelp(),
))
continue
}
if existingMF.GetType() != mf.GetType() {
errs = append(errs, fmt.Errorf(
"gathered metric family %s has type %s but should have %s",
mf.GetName(), mf.GetType(), existingMF.GetType(),
))
continue
}
} else {
existingMF = &dto.MetricFamily{}
existingMF.Name = mf.Name
existingMF.Help = mf.Help
existingMF.Type = mf.Type
metricFamiliesByName[mf.GetName()] = existingMF
}
for _, m := range mf.Metric {
if err := checkMetricConsistency(existingMF, m, metricHashes, dimHashes); err != nil {
errs = append(errs, err)
continue
}
existingMF.Metric = append(existingMF.Metric, m)
}
}
}
return normalizeMetricFamilies(metricFamiliesByName), errs.MaybeUnwrap()
}
// metricSorter is a sortable slice of *dto.Metric.
type metricSorter []*dto.Metric
func (s metricSorter) Len() int {
return len(s)
}
func (s metricSorter) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s metricSorter) Less(i, j int) bool {
if len(s[i].Label) != len(s[j].Label) {
// This should not happen. The metrics are
// inconsistent. However, we have to deal with the fact, as
// people might use custom collectors or metric family injection
// to create inconsistent metrics. So let's simply compare the
// number of labels in this case. That will still yield
// reproducible sorting.
return len(s[i].Label) < len(s[j].Label)
}
for n, lp := range s[i].Label {
vi := lp.GetValue()
vj := s[j].Label[n].GetValue()
if vi != vj {
return vi < vj
}
}
// We should never arrive here. Multiple metrics with the same
// label set in the same scrape will lead to undefined ingestion
// behavior. However, as above, we have to provide stable sorting
// here, even for inconsistent metrics. So sort equal metrics
// by their timestamp, with missing timestamps (implying "now")
// coming last.
if s[i].TimestampMs == nil {
return false
}
if s[j].TimestampMs == nil {
return true
}
return s[i].GetTimestampMs() < s[j].GetTimestampMs()
}
// normalizeMetricFamilies returns a MetricFamily slice with empty
// MetricFamilies pruned and the remaining MetricFamilies sorted by name within
// the slice, with the contained Metrics sorted within each MetricFamily.
func normalizeMetricFamilies(metricFamiliesByName map[string]*dto.MetricFamily) []*dto.MetricFamily {
for _, mf := range metricFamiliesByName {
sort.Sort(metricSorter(mf.Metric))
}
names := make([]string, 0, len(metricFamiliesByName))
for name, mf := range metricFamiliesByName {
if len(mf.Metric) > 0 {
names = append(names, name)
}
}
sort.Strings(names)
result := make([]*dto.MetricFamily, 0, len(names))
for _, name := range names {
result = append(result, metricFamiliesByName[name])
}
return result
}
// checkMetricConsistency checks if the provided Metric is consistent with the
// provided MetricFamily. It also hashed the Metric labels and the MetricFamily
// name. If the resulting hash is already in the provided metricHashes, an error
// is returned. If not, it is added to metricHashes. The provided dimHashes maps
// MetricFamily names to their dimHash (hashed sorted label names). If dimHashes
// doesn't yet contain a hash for the provided MetricFamily, it is
// added. Otherwise, an error is returned if the existing dimHashes in not equal
// the calculated dimHash.
func checkMetricConsistency(
metricFamily *dto.MetricFamily,
dtoMetric *dto.Metric,
metricHashes map[uint64]struct{},
dimHashes map[string]uint64,
) error {
// Type consistency with metric family.
if metricFamily.GetType() == dto.MetricType_GAUGE && dtoMetric.Gauge == nil ||
metricFamily.GetType() == dto.MetricType_COUNTER && dtoMetric.Counter == nil ||
metricFamily.GetType() == dto.MetricType_SUMMARY && dtoMetric.Summary == nil ||
metricFamily.GetType() == dto.MetricType_HISTOGRAM && dtoMetric.Histogram == nil ||
metricFamily.GetType() == dto.MetricType_UNTYPED && dtoMetric.Untyped == nil {
return fmt.Errorf(
"collected metric %s %s is not a %s",
metricFamily.GetName(), dtoMetric, metricFamily.GetType(),
)
}
for _, labelPair := range dtoMetric.GetLabel() {
if !utf8.ValidString(*labelPair.Value) {
return fmt.Errorf("collected metric's label %s is not utf8: %#v", *labelPair.Name, *labelPair.Value)
}
}
// Is the metric unique (i.e. no other metric with the same name and the same label values)?
h := hashNew()
h = hashAdd(h, metricFamily.GetName())
h = hashAddByte(h, separatorByte)
dh := hashNew()
// Make sure label pairs are sorted. We depend on it for the consistency
// check.
sort.Sort(LabelPairSorter(dtoMetric.Label))
for _, lp := range dtoMetric.Label {
h = hashAdd(h, lp.GetValue())
h = hashAddByte(h, separatorByte)
dh = hashAdd(dh, lp.GetName())
dh = hashAddByte(dh, separatorByte)
}
if _, exists := metricHashes[h]; exists {
return fmt.Errorf(
"collected metric %s %s was collected before with the same name and label values",
metricFamily.GetName(), dtoMetric,
)
}
if dimHash, ok := dimHashes[metricFamily.GetName()]; ok {
if dimHash != dh {
return fmt.Errorf(
"collected metric %s %s has label dimensions inconsistent with previously collected metrics in the same metric family",
metricFamily.GetName(), dtoMetric,
)
}
} else {
dimHashes[metricFamily.GetName()] = dh
}
metricHashes[h] = struct{}{}
return nil
}
func checkDescConsistency(
metricFamily *dto.MetricFamily,
dtoMetric *dto.Metric,
desc *Desc,
) error {
// Desc help consistency with metric family help.
if metricFamily.GetHelp() != desc.help {
return fmt.Errorf(
"collected metric %s %s has help %q but should have %q",
metricFamily.GetName(), dtoMetric, metricFamily.GetHelp(), desc.help,
)
}
// Is the desc consistent with the content of the metric?
lpsFromDesc := make([]*dto.LabelPair, 0, len(dtoMetric.Label))
lpsFromDesc = append(lpsFromDesc, desc.constLabelPairs...)
for _, l := range desc.variableLabels {
lpsFromDesc = append(lpsFromDesc, &dto.LabelPair{
Name: proto.String(l),
})
}
if len(lpsFromDesc) != len(dtoMetric.Label) {
return fmt.Errorf(
"labels in collected metric %s %s are inconsistent with descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
sort.Sort(LabelPairSorter(lpsFromDesc))
for i, lpFromDesc := range lpsFromDesc {
lpFromMetric := dtoMetric.Label[i]
if lpFromDesc.GetName() != lpFromMetric.GetName() ||
lpFromDesc.Value != nil && lpFromDesc.GetValue() != lpFromMetric.GetValue() {
return fmt.Errorf(
"labels in collected metric %s %s are inconsistent with descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
}
return nil
}
+609
View File
@@ -0,0 +1,609 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"fmt"
"math"
"sort"
"sync"
"time"
"github.com/beorn7/perks/quantile"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
)
// quantileLabel is used for the label that defines the quantile in a
// summary.
const quantileLabel = "quantile"
// A Summary captures individual observations from an event or sample stream and
// summarizes them in a manner similar to traditional summary statistics: 1. sum
// of observations, 2. observation count, 3. rank estimations.
//
// A typical use-case is the observation of request latencies. By default, a
// Summary provides the median, the 90th and the 99th percentile of the latency
// as rank estimations. However, the default behavior will change in the
// upcoming v0.10 of the library. There will be no rank estiamtions at all by
// default. For a sane transition, it is recommended to set the desired rank
// estimations explicitly.
//
// Note that the rank estimations cannot be aggregated in a meaningful way with
// the Prometheus query language (i.e. you cannot average or add them). If you
// need aggregatable quantiles (e.g. you want the 99th percentile latency of all
// queries served across all instances of a service), consider the Histogram
// metric type. See the Prometheus documentation for more details.
//
// To create Summary instances, use NewSummary.
type Summary interface {
Metric
Collector
// Observe adds a single observation to the summary.
Observe(float64)
}
// DefObjectives are the default Summary quantile values.
//
// Deprecated: DefObjectives will not be used as the default objectives in
// v0.10 of the library. The default Summary will have no quantiles then.
var (
DefObjectives = map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001}
errQuantileLabelNotAllowed = fmt.Errorf(
"%q is not allowed as label name in summaries", quantileLabel,
)
)
// Default values for SummaryOpts.
const (
// DefMaxAge is the default duration for which observations stay
// relevant.
DefMaxAge time.Duration = 10 * time.Minute
// DefAgeBuckets is the default number of buckets used to calculate the
// age of observations.
DefAgeBuckets = 5
// DefBufCap is the standard buffer size for collecting Summary observations.
DefBufCap = 500
)
// SummaryOpts bundles the options for creating a Summary metric. It is
// mandatory to set Name and Help to a non-empty string. While all other fields
// are optional and can safely be left at their zero value, it is recommended to
// explicitly set the Objectives field to the desired value as the default value
// will change in the upcoming v0.10 of the library.
type SummaryOpts struct {
// Namespace, Subsystem, and Name are components of the fully-qualified
// name of the Summary (created by joining these components with
// "_"). Only Name is mandatory, the others merely help structuring the
// name. Note that the fully-qualified name of the Summary must be a
// valid Prometheus metric name.
Namespace string
Subsystem string
Name string
// Help provides information about this Summary. Mandatory!
//
// Metrics with the same fully-qualified name must have the same Help
// string.
Help string
// ConstLabels are used to attach fixed labels to this metric. Metrics
// with the same fully-qualified name must have the same label names in
// their ConstLabels.
//
// ConstLabels are only used rarely. In particular, do not use them to
// attach the same labels to all your metrics. Those use cases are
// better covered by target labels set by the scraping Prometheus
// server, or by one specific metric (e.g. a build_info or a
// machine_role metric). See also
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels,-not-static-scraped-labels
ConstLabels Labels
// Objectives defines the quantile rank estimates with their respective
// absolute error. If Objectives[q] = e, then the value reported for q
// will be the φ-quantile value for some φ between q-e and q+e. The
// default value is DefObjectives. It is used if Objectives is left at
// its zero value (i.e. nil). To create a Summary without Objectives,
// set it to an empty map (i.e. map[float64]float64{}).
//
// Deprecated: Note that the current value of DefObjectives is
// deprecated. It will be replaced by an empty map in v0.10 of the
// library. Please explicitly set Objectives to the desired value.
Objectives map[float64]float64
// MaxAge defines the duration for which an observation stays relevant
// for the summary. Must be positive. The default value is DefMaxAge.
MaxAge time.Duration
// AgeBuckets is the number of buckets used to exclude observations that
// are older than MaxAge from the summary. A higher number has a
// resource penalty, so only increase it if the higher resolution is
// really required. For very high observation rates, you might want to
// reduce the number of age buckets. With only one age bucket, you will
// effectively see a complete reset of the summary each time MaxAge has
// passed. The default value is DefAgeBuckets.
AgeBuckets uint32
// BufCap defines the default sample stream buffer size. The default
// value of DefBufCap should suffice for most uses. If there is a need
// to increase the value, a multiple of 500 is recommended (because that
// is the internal buffer size of the underlying package
// "github.com/bmizerany/perks/quantile").
BufCap uint32
}
// Great fuck-up with the sliding-window decay algorithm... The Merge method of
// perk/quantile is actually not working as advertised - and it might be
// unfixable, as the underlying algorithm is apparently not capable of merging
// summaries in the first place. To avoid using Merge, we are currently adding
// observations to _each_ age bucket, i.e. the effort to add a sample is
// essentially multiplied by the number of age buckets. When rotating age
// buckets, we empty the previous head stream. On scrape time, we simply take
// the quantiles from the head stream (no merging required). Result: More effort
// on observation time, less effort on scrape time, which is exactly the
// opposite of what we try to accomplish, but at least the results are correct.
//
// The quite elegant previous contraption to merge the age buckets efficiently
// on scrape time (see code up commit 6b9530d72ea715f0ba612c0120e6e09fbf1d49d0)
// can't be used anymore.
// NewSummary creates a new Summary based on the provided SummaryOpts.
func NewSummary(opts SummaryOpts) Summary {
return newSummary(
NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
),
opts,
)
}
func newSummary(desc *Desc, opts SummaryOpts, labelValues ...string) Summary {
if len(desc.variableLabels) != len(labelValues) {
panic(errInconsistentCardinality)
}
for _, n := range desc.variableLabels {
if n == quantileLabel {
panic(errQuantileLabelNotAllowed)
}
}
for _, lp := range desc.constLabelPairs {
if lp.GetName() == quantileLabel {
panic(errQuantileLabelNotAllowed)
}
}
if opts.Objectives == nil {
opts.Objectives = DefObjectives
}
if opts.MaxAge < 0 {
panic(fmt.Errorf("illegal max age MaxAge=%v", opts.MaxAge))
}
if opts.MaxAge == 0 {
opts.MaxAge = DefMaxAge
}
if opts.AgeBuckets == 0 {
opts.AgeBuckets = DefAgeBuckets
}
if opts.BufCap == 0 {
opts.BufCap = DefBufCap
}
s := &summary{
desc: desc,
objectives: opts.Objectives,
sortedObjectives: make([]float64, 0, len(opts.Objectives)),
labelPairs: makeLabelPairs(desc, labelValues),
hotBuf: make([]float64, 0, opts.BufCap),
coldBuf: make([]float64, 0, opts.BufCap),
streamDuration: opts.MaxAge / time.Duration(opts.AgeBuckets),
}
s.headStreamExpTime = time.Now().Add(s.streamDuration)
s.hotBufExpTime = s.headStreamExpTime
for i := uint32(0); i < opts.AgeBuckets; i++ {
s.streams = append(s.streams, s.newStream())
}
s.headStream = s.streams[0]
for qu := range s.objectives {
s.sortedObjectives = append(s.sortedObjectives, qu)
}
sort.Float64s(s.sortedObjectives)
s.init(s) // Init self-collection.
return s
}
type summary struct {
selfCollector
bufMtx sync.Mutex // Protects hotBuf and hotBufExpTime.
mtx sync.Mutex // Protects every other moving part.
// Lock bufMtx before mtx if both are needed.
desc *Desc
objectives map[float64]float64
sortedObjectives []float64
labelPairs []*dto.LabelPair
sum float64
cnt uint64
hotBuf, coldBuf []float64
streams []*quantile.Stream
streamDuration time.Duration
headStream *quantile.Stream
headStreamIdx int
headStreamExpTime, hotBufExpTime time.Time
}
func (s *summary) Desc() *Desc {
return s.desc
}
func (s *summary) Observe(v float64) {
s.bufMtx.Lock()
defer s.bufMtx.Unlock()
now := time.Now()
if now.After(s.hotBufExpTime) {
s.asyncFlush(now)
}
s.hotBuf = append(s.hotBuf, v)
if len(s.hotBuf) == cap(s.hotBuf) {
s.asyncFlush(now)
}
}
func (s *summary) Write(out *dto.Metric) error {
sum := &dto.Summary{}
qs := make([]*dto.Quantile, 0, len(s.objectives))
s.bufMtx.Lock()
s.mtx.Lock()
// Swap bufs even if hotBuf is empty to set new hotBufExpTime.
s.swapBufs(time.Now())
s.bufMtx.Unlock()
s.flushColdBuf()
sum.SampleCount = proto.Uint64(s.cnt)
sum.SampleSum = proto.Float64(s.sum)
for _, rank := range s.sortedObjectives {
var q float64
if s.headStream.Count() == 0 {
q = math.NaN()
} else {
q = s.headStream.Query(rank)
}
qs = append(qs, &dto.Quantile{
Quantile: proto.Float64(rank),
Value: proto.Float64(q),
})
}
s.mtx.Unlock()
if len(qs) > 0 {
sort.Sort(quantSort(qs))
}
sum.Quantile = qs
out.Summary = sum
out.Label = s.labelPairs
return nil
}
func (s *summary) newStream() *quantile.Stream {
return quantile.NewTargeted(s.objectives)
}
// asyncFlush needs bufMtx locked.
func (s *summary) asyncFlush(now time.Time) {
s.mtx.Lock()
s.swapBufs(now)
// Unblock the original goroutine that was responsible for the mutation
// that triggered the compaction. But hold onto the global non-buffer
// state mutex until the operation finishes.
go func() {
s.flushColdBuf()
s.mtx.Unlock()
}()
}
// rotateStreams needs mtx AND bufMtx locked.
func (s *summary) maybeRotateStreams() {
for !s.hotBufExpTime.Equal(s.headStreamExpTime) {
s.headStream.Reset()
s.headStreamIdx++
if s.headStreamIdx >= len(s.streams) {
s.headStreamIdx = 0
}
s.headStream = s.streams[s.headStreamIdx]
s.headStreamExpTime = s.headStreamExpTime.Add(s.streamDuration)
}
}
// flushColdBuf needs mtx locked.
func (s *summary) flushColdBuf() {
for _, v := range s.coldBuf {
for _, stream := range s.streams {
stream.Insert(v)
}
s.cnt++
s.sum += v
}
s.coldBuf = s.coldBuf[0:0]
s.maybeRotateStreams()
}
// swapBufs needs mtx AND bufMtx locked, coldBuf must be empty.
func (s *summary) swapBufs(now time.Time) {
if len(s.coldBuf) != 0 {
panic("coldBuf is not empty")
}
s.hotBuf, s.coldBuf = s.coldBuf, s.hotBuf
// hotBuf is now empty and gets new expiration set.
for now.After(s.hotBufExpTime) {
s.hotBufExpTime = s.hotBufExpTime.Add(s.streamDuration)
}
}
type quantSort []*dto.Quantile
func (s quantSort) Len() int {
return len(s)
}
func (s quantSort) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s quantSort) Less(i, j int) bool {
return s[i].GetQuantile() < s[j].GetQuantile()
}
// SummaryVec is a Collector that bundles a set of Summaries that all share the
// same Desc, but have different values for their variable labels. This is used
// if you want to count the same thing partitioned by various dimensions
// (e.g. HTTP request latencies, partitioned by status code and method). Create
// instances with NewSummaryVec.
type SummaryVec struct {
*metricVec
}
// NewSummaryVec creates a new SummaryVec based on the provided SummaryOpts and
// partitioned by the given label names.
func NewSummaryVec(opts SummaryOpts, labelNames []string) *SummaryVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &SummaryVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
return newSummary(desc, opts, lvs...)
}),
}
}
// GetMetricWithLabelValues returns the Summary for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// label values is accessed for the first time, a new Summary is created.
//
// It is possible to call this method without using the returned Summary to only
// create the new Summary but leave it at its starting value, a Summary without
// any observations.
//
// Keeping the Summary for later use is possible (and should be considered if
// performance is critical), but keep in mind that Reset, DeleteLabelValues and
// Delete can be used to delete the Summary from the SummaryVec. In that case,
// the Summary will still exist, but it will not be exported anymore, even if a
// Summary with the same label values is created later. See also the CounterVec
// example.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
// an alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
// See also the GaugeVec example.
func (v *SummaryVec) GetMetricWithLabelValues(lvs ...string) (Observer, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Observer), err
}
return nil, err
}
// GetMetricWith returns the Summary for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// accessed for the first time, a new Summary is created. Implications of
// creating a Summary without using it and keeping the Summary for later use are
// the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *SummaryVec) GetMetricWith(labels Labels) (Observer, error) {
metric, err := v.metricVec.getMetricWith(labels)
if metric != nil {
return metric.(Observer), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. Not returning an
// error allows shortcuts like
// myVec.WithLabelValues("404", "GET").Observe(42.21)
func (v *SummaryVec) WithLabelValues(lvs ...string) Observer {
s, err := v.GetMetricWithLabelValues(lvs...)
if err != nil {
panic(err)
}
return s
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. Not returning an error allows shortcuts like
// myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21)
func (v *SummaryVec) With(labels Labels) Observer {
s, err := v.GetMetricWith(labels)
if err != nil {
panic(err)
}
return s
}
// CurryWith returns a vector curried with the provided labels, i.e. the
// returned vector has those labels pre-set for all labeled operations performed
// on it. The cardinality of the curried vector is reduced accordingly. The
// order of the remaining labels stays the same (just with the curried labels
// taken out of the sequence – which is relevant for the
// (GetMetric)WithLabelValues methods). It is possible to curry a curried
// vector, but only with labels not yet used for currying before.
//
// The metrics contained in the SummaryVec are shared between the curried and
// uncurried vectors. They are just accessed differently. Curried and uncurried
// vectors behave identically in terms of collection. Only one must be
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *SummaryVec) CurryWith(labels Labels) (ObserverVec, error) {
vec, err := v.curryWith(labels)
if vec != nil {
return &SummaryVec{vec}, err
}
return nil, err
}
// MustCurryWith works as CurryWith but panics where CurryWith would have
// returned an error.
func (v *SummaryVec) MustCurryWith(labels Labels) ObserverVec {
vec, err := v.CurryWith(labels)
if err != nil {
panic(err)
}
return vec
}
type constSummary struct {
desc *Desc
count uint64
sum float64
quantiles map[float64]float64
labelPairs []*dto.LabelPair
}
func (s *constSummary) Desc() *Desc {
return s.desc
}
func (s *constSummary) Write(out *dto.Metric) error {
sum := &dto.Summary{}
qs := make([]*dto.Quantile, 0, len(s.quantiles))
sum.SampleCount = proto.Uint64(s.count)
sum.SampleSum = proto.Float64(s.sum)
for rank, q := range s.quantiles {
qs = append(qs, &dto.Quantile{
Quantile: proto.Float64(rank),
Value: proto.Float64(q),
})
}
if len(qs) > 0 {
sort.Sort(quantSort(qs))
}
sum.Quantile = qs
out.Summary = sum
out.Label = s.labelPairs
return nil
}
// NewConstSummary returns a metric representing a Prometheus summary with fixed
// values for the count, sum, and quantiles. As those parameters cannot be
// changed, the returned value does not implement the Summary interface (but
// only the Metric interface). Users of this package will not have much use for
// it in regular operations. However, when implementing custom Collectors, it is
// useful as a throw-away metric that is generated on the fly to send it to
// Prometheus in the Collect method.
//
// quantiles maps ranks to quantile values. For example, a median latency of
// 0.23s and a 99th percentile latency of 0.56s would be expressed as:
// map[float64]float64{0.5: 0.23, 0.99: 0.56}
//
// NewConstSummary returns an error if the length of labelValues is not
// consistent with the variable labels in Desc.
func NewConstSummary(
desc *Desc,
count uint64,
sum float64,
quantiles map[float64]float64,
labelValues ...string,
) (Metric, error) {
if err := validateLabelValues(labelValues, len(desc.variableLabels)); err != nil {
return nil, err
}
return &constSummary{
desc: desc,
count: count,
sum: sum,
quantiles: quantiles,
labelPairs: makeLabelPairs(desc, labelValues),
}, nil
}
// MustNewConstSummary is a version of NewConstSummary that panics where
// NewConstMetric would have returned an error.
func MustNewConstSummary(
desc *Desc,
count uint64,
sum float64,
quantiles map[float64]float64,
labelValues ...string,
) Metric {
m, err := NewConstSummary(desc, count, sum, quantiles, labelValues...)
if err != nil {
panic(err)
}
return m
}
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// Copyright 2016 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import "time"
// Timer is a helper type to time functions. Use NewTimer to create new
// instances.
type Timer struct {
begin time.Time
observer Observer
}
// NewTimer creates a new Timer. The provided Observer is used to observe a
// duration in seconds. Timer is usually used to time a function call in the
// following way:
// func TimeMe() {
// timer := NewTimer(myHistogram)
// defer timer.ObserveDuration()
// // Do actual work.
// }
func NewTimer(o Observer) *Timer {
return &Timer{
begin: time.Now(),
observer: o,
}
}
// ObserveDuration records the duration passed since the Timer was created with
// NewTimer. It calls the Observe method of the Observer provided during
// construction with the duration in seconds as an argument. ObserveDuration is
// usually called with a defer statement.
//
// Note that this method is only guaranteed to never observe negative durations
// if used with Go1.9+.
func (t *Timer) ObserveDuration() {
if t.observer != nil {
t.observer.Observe(time.Since(t.begin).Seconds())
}
}
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
// UntypedOpts is an alias for Opts. See there for doc comments.
type UntypedOpts Opts
// UntypedFunc works like GaugeFunc but the collected metric is of type
// "Untyped". UntypedFunc is useful to mirror an external metric of unknown
// type.
//
// To create UntypedFunc instances, use NewUntypedFunc.
type UntypedFunc interface {
Metric
Collector
}
// NewUntypedFunc creates a new UntypedFunc based on the provided
// UntypedOpts. The value reported is determined by calling the given function
// from within the Write method. Take into account that metric collection may
// happen concurrently. If that results in concurrent calls to Write, like in
// the case where an UntypedFunc is directly registered with Prometheus, the
// provided function must be concurrency-safe.
func NewUntypedFunc(opts UntypedOpts, function func() float64) UntypedFunc {
return newValueFunc(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), UntypedValue, function)
}
+160
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"fmt"
"sort"
dto "github.com/prometheus/client_model/go"
"github.com/golang/protobuf/proto"
)
// ValueType is an enumeration of metric types that represent a simple value.
type ValueType int
// Possible values for the ValueType enum.
const (
_ ValueType = iota
CounterValue
GaugeValue
UntypedValue
)
// valueFunc is a generic metric for simple values retrieved on collect time
// from a function. It implements Metric and Collector. Its effective type is
// determined by ValueType. This is a low-level building block used by the
// library to back the implementations of CounterFunc, GaugeFunc, and
// UntypedFunc.
type valueFunc struct {
selfCollector
desc *Desc
valType ValueType
function func() float64
labelPairs []*dto.LabelPair
}
// newValueFunc returns a newly allocated valueFunc with the given Desc and
// ValueType. The value reported is determined by calling the given function
// from within the Write method. Take into account that metric collection may
// happen concurrently. If that results in concurrent calls to Write, like in
// the case where a valueFunc is directly registered with Prometheus, the
// provided function must be concurrency-safe.
func newValueFunc(desc *Desc, valueType ValueType, function func() float64) *valueFunc {
result := &valueFunc{
desc: desc,
valType: valueType,
function: function,
labelPairs: makeLabelPairs(desc, nil),
}
result.init(result)
return result
}
func (v *valueFunc) Desc() *Desc {
return v.desc
}
func (v *valueFunc) Write(out *dto.Metric) error {
return populateMetric(v.valType, v.function(), v.labelPairs, out)
}
// NewConstMetric returns a metric with one fixed value that cannot be
// changed. Users of this package will not have much use for it in regular
// operations. However, when implementing custom Collectors, it is useful as a
// throw-away metric that is generated on the fly to send it to Prometheus in
// the Collect method. NewConstMetric returns an error if the length of
// labelValues is not consistent with the variable labels in Desc.
func NewConstMetric(desc *Desc, valueType ValueType, value float64, labelValues ...string) (Metric, error) {
if err := validateLabelValues(labelValues, len(desc.variableLabels)); err != nil {
return nil, err
}
return &constMetric{
desc: desc,
valType: valueType,
val: value,
labelPairs: makeLabelPairs(desc, labelValues),
}, nil
}
// MustNewConstMetric is a version of NewConstMetric that panics where
// NewConstMetric would have returned an error.
func MustNewConstMetric(desc *Desc, valueType ValueType, value float64, labelValues ...string) Metric {
m, err := NewConstMetric(desc, valueType, value, labelValues...)
if err != nil {
panic(err)
}
return m
}
type constMetric struct {
desc *Desc
valType ValueType
val float64
labelPairs []*dto.LabelPair
}
func (m *constMetric) Desc() *Desc {
return m.desc
}
func (m *constMetric) Write(out *dto.Metric) error {
return populateMetric(m.valType, m.val, m.labelPairs, out)
}
func populateMetric(
t ValueType,
v float64,
labelPairs []*dto.LabelPair,
m *dto.Metric,
) error {
m.Label = labelPairs
switch t {
case CounterValue:
m.Counter = &dto.Counter{Value: proto.Float64(v)}
case GaugeValue:
m.Gauge = &dto.Gauge{Value: proto.Float64(v)}
case UntypedValue:
m.Untyped = &dto.Untyped{Value: proto.Float64(v)}
default:
return fmt.Errorf("encountered unknown type %v", t)
}
return nil
}
func makeLabelPairs(desc *Desc, labelValues []string) []*dto.LabelPair {
totalLen := len(desc.variableLabels) + len(desc.constLabelPairs)
if totalLen == 0 {
// Super fast path.
return nil
}
if len(desc.variableLabels) == 0 {
// Moderately fast path.
return desc.constLabelPairs
}
labelPairs := make([]*dto.LabelPair, 0, totalLen)
for i, n := range desc.variableLabels {
labelPairs = append(labelPairs, &dto.LabelPair{
Name: proto.String(n),
Value: proto.String(labelValues[i]),
})
}
for _, lp := range desc.constLabelPairs {
labelPairs = append(labelPairs, lp)
}
sort.Sort(LabelPairSorter(labelPairs))
return labelPairs
}
+469
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"fmt"
"sync"
"github.com/prometheus/common/model"
)
// metricVec is a Collector to bundle metrics of the same name that differ in
// their label values. metricVec is not used directly (and therefore
// unexported). It is used as a building block for implementations of vectors of
// a given metric type, like GaugeVec, CounterVec, SummaryVec, and HistogramVec.
// It also handles label currying. It uses basicMetricVec internally.
type metricVec struct {
*metricMap
curry []curriedLabelValue
// hashAdd and hashAddByte can be replaced for testing collision handling.
hashAdd func(h uint64, s string) uint64
hashAddByte func(h uint64, b byte) uint64
}
// newMetricVec returns an initialized metricVec.
func newMetricVec(desc *Desc, newMetric func(lvs ...string) Metric) *metricVec {
return &metricVec{
metricMap: &metricMap{
metrics: map[uint64][]metricWithLabelValues{},
desc: desc,
newMetric: newMetric,
},
hashAdd: hashAdd,
hashAddByte: hashAddByte,
}
}
// DeleteLabelValues removes the metric where the variable labels are the same
// as those passed in as labels (same order as the VariableLabels in Desc). It
// returns true if a metric was deleted.
//
// It is not an error if the number of label values is not the same as the
// number of VariableLabels in Desc. However, such inconsistent label count can
// never match an actual metric, so the method will always return false in that
// case.
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider Delete(Labels) as an
// alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
// See also the CounterVec example.
func (m *metricVec) DeleteLabelValues(lvs ...string) bool {
h, err := m.hashLabelValues(lvs)
if err != nil {
return false
}
return m.metricMap.deleteByHashWithLabelValues(h, lvs, m.curry)
}
// Delete deletes the metric where the variable labels are the same as those
// passed in as labels. It returns true if a metric was deleted.
//
// It is not an error if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc. However, such inconsistent Labels
// can never match an actual metric, so the method will always return false in
// that case.
//
// This method is used for the same purpose as DeleteLabelValues(...string). See
// there for pros and cons of the two methods.
func (m *metricVec) Delete(labels Labels) bool {
h, err := m.hashLabels(labels)
if err != nil {
return false
}
return m.metricMap.deleteByHashWithLabels(h, labels, m.curry)
}
func (m *metricVec) curryWith(labels Labels) (*metricVec, error) {
var (
newCurry []curriedLabelValue
oldCurry = m.curry
iCurry int
)
for i, label := range m.desc.variableLabels {
val, ok := labels[label]
if iCurry < len(oldCurry) && oldCurry[iCurry].index == i {
if ok {
return nil, fmt.Errorf("label name %q is already curried", label)
}
newCurry = append(newCurry, oldCurry[iCurry])
iCurry++
} else {
if !ok {
continue // Label stays uncurried.
}
newCurry = append(newCurry, curriedLabelValue{i, val})
}
}
if l := len(oldCurry) + len(labels) - len(newCurry); l > 0 {
return nil, fmt.Errorf("%d unknown label(s) found during currying", l)
}
return &metricVec{
metricMap: m.metricMap,
curry: newCurry,
hashAdd: m.hashAdd,
hashAddByte: m.hashAddByte,
}, nil
}
func (m *metricVec) getMetricWithLabelValues(lvs ...string) (Metric, error) {
h, err := m.hashLabelValues(lvs)
if err != nil {
return nil, err
}
return m.metricMap.getOrCreateMetricWithLabelValues(h, lvs, m.curry), nil
}
func (m *metricVec) getMetricWith(labels Labels) (Metric, error) {
h, err := m.hashLabels(labels)
if err != nil {
return nil, err
}
return m.metricMap.getOrCreateMetricWithLabels(h, labels, m.curry), nil
}
func (m *metricVec) hashLabelValues(vals []string) (uint64, error) {
if err := validateLabelValues(vals, len(m.desc.variableLabels)-len(m.curry)); err != nil {
return 0, err
}
var (
h = hashNew()
curry = m.curry
iVals, iCurry int
)
for i := 0; i < len(m.desc.variableLabels); i++ {
if iCurry < len(curry) && curry[iCurry].index == i {
h = m.hashAdd(h, curry[iCurry].value)
iCurry++
} else {
h = m.hashAdd(h, vals[iVals])
iVals++
}
h = m.hashAddByte(h, model.SeparatorByte)
}
return h, nil
}
func (m *metricVec) hashLabels(labels Labels) (uint64, error) {
if err := validateValuesInLabels(labels, len(m.desc.variableLabels)-len(m.curry)); err != nil {
return 0, err
}
var (
h = hashNew()
curry = m.curry
iCurry int
)
for i, label := range m.desc.variableLabels {
val, ok := labels[label]
if iCurry < len(curry) && curry[iCurry].index == i {
if ok {
return 0, fmt.Errorf("label name %q is already curried", label)
}
h = m.hashAdd(h, curry[iCurry].value)
iCurry++
} else {
if !ok {
return 0, fmt.Errorf("label name %q missing in label map", label)
}
h = m.hashAdd(h, val)
}
h = m.hashAddByte(h, model.SeparatorByte)
}
return h, nil
}
// metricWithLabelValues provides the metric and its label values for
// disambiguation on hash collision.
type metricWithLabelValues struct {
values []string
metric Metric
}
// curriedLabelValue sets the curried value for a label at the given index.
type curriedLabelValue struct {
index int
value string
}
// metricMap is a helper for metricVec and shared between differently curried
// metricVecs.
type metricMap struct {
mtx sync.RWMutex // Protects metrics.
metrics map[uint64][]metricWithLabelValues
desc *Desc
newMetric func(labelValues ...string) Metric
}
// Describe implements Collector. It will send exactly one Desc to the provided
// channel.
func (m *metricMap) Describe(ch chan<- *Desc) {
ch <- m.desc
}
// Collect implements Collector.
func (m *metricMap) Collect(ch chan<- Metric) {
m.mtx.RLock()
defer m.mtx.RUnlock()
for _, metrics := range m.metrics {
for _, metric := range metrics {
ch <- metric.metric
}
}
}
// Reset deletes all metrics in this vector.
func (m *metricMap) Reset() {
m.mtx.Lock()
defer m.mtx.Unlock()
for h := range m.metrics {
delete(m.metrics, h)
}
}
// deleteByHashWithLabelValues removes the metric from the hash bucket h. If
// there are multiple matches in the bucket, use lvs to select a metric and
// remove only that metric.
func (m *metricMap) deleteByHashWithLabelValues(
h uint64, lvs []string, curry []curriedLabelValue,
) bool {
m.mtx.Lock()
defer m.mtx.Unlock()
metrics, ok := m.metrics[h]
if !ok {
return false
}
i := findMetricWithLabelValues(metrics, lvs, curry)
if i >= len(metrics) {
return false
}
if len(metrics) > 1 {
m.metrics[h] = append(metrics[:i], metrics[i+1:]...)
} else {
delete(m.metrics, h)
}
return true
}
// deleteByHashWithLabels removes the metric from the hash bucket h. If there
// are multiple matches in the bucket, use lvs to select a metric and remove
// only that metric.
func (m *metricMap) deleteByHashWithLabels(
h uint64, labels Labels, curry []curriedLabelValue,
) bool {
metrics, ok := m.metrics[h]
if !ok {
return false
}
i := findMetricWithLabels(m.desc, metrics, labels, curry)
if i >= len(metrics) {
return false
}
if len(metrics) > 1 {
m.metrics[h] = append(metrics[:i], metrics[i+1:]...)
} else {
delete(m.metrics, h)
}
return true
}
// getOrCreateMetricWithLabelValues retrieves the metric by hash and label value
// or creates it and returns the new one.
//
// This function holds the mutex.
func (m *metricMap) getOrCreateMetricWithLabelValues(
hash uint64, lvs []string, curry []curriedLabelValue,
) Metric {
m.mtx.RLock()
metric, ok := m.getMetricWithHashAndLabelValues(hash, lvs, curry)
m.mtx.RUnlock()
if ok {
return metric
}
m.mtx.Lock()
defer m.mtx.Unlock()
metric, ok = m.getMetricWithHashAndLabelValues(hash, lvs, curry)
if !ok {
inlinedLVs := inlineLabelValues(lvs, curry)
metric = m.newMetric(inlinedLVs...)
m.metrics[hash] = append(m.metrics[hash], metricWithLabelValues{values: inlinedLVs, metric: metric})
}
return metric
}
// getOrCreateMetricWithLabelValues retrieves the metric by hash and label value
// or creates it and returns the new one.
//
// This function holds the mutex.
func (m *metricMap) getOrCreateMetricWithLabels(
hash uint64, labels Labels, curry []curriedLabelValue,
) Metric {
m.mtx.RLock()
metric, ok := m.getMetricWithHashAndLabels(hash, labels, curry)
m.mtx.RUnlock()
if ok {
return metric
}
m.mtx.Lock()
defer m.mtx.Unlock()
metric, ok = m.getMetricWithHashAndLabels(hash, labels, curry)
if !ok {
lvs := extractLabelValues(m.desc, labels, curry)
metric = m.newMetric(lvs...)
m.metrics[hash] = append(m.metrics[hash], metricWithLabelValues{values: lvs, metric: metric})
}
return metric
}
// getMetricWithHashAndLabelValues gets a metric while handling possible
// collisions in the hash space. Must be called while holding the read mutex.
func (m *metricMap) getMetricWithHashAndLabelValues(
h uint64, lvs []string, curry []curriedLabelValue,
) (Metric, bool) {
metrics, ok := m.metrics[h]
if ok {
if i := findMetricWithLabelValues(metrics, lvs, curry); i < len(metrics) {
return metrics[i].metric, true
}
}
return nil, false
}
// getMetricWithHashAndLabels gets a metric while handling possible collisions in
// the hash space. Must be called while holding read mutex.
func (m *metricMap) getMetricWithHashAndLabels(
h uint64, labels Labels, curry []curriedLabelValue,
) (Metric, bool) {
metrics, ok := m.metrics[h]
if ok {
if i := findMetricWithLabels(m.desc, metrics, labels, curry); i < len(metrics) {
return metrics[i].metric, true
}
}
return nil, false
}
// findMetricWithLabelValues returns the index of the matching metric or
// len(metrics) if not found.
func findMetricWithLabelValues(
metrics []metricWithLabelValues, lvs []string, curry []curriedLabelValue,
) int {
for i, metric := range metrics {
if matchLabelValues(metric.values, lvs, curry) {
return i
}
}
return len(metrics)
}
// findMetricWithLabels returns the index of the matching metric or len(metrics)
// if not found.
func findMetricWithLabels(
desc *Desc, metrics []metricWithLabelValues, labels Labels, curry []curriedLabelValue,
) int {
for i, metric := range metrics {
if matchLabels(desc, metric.values, labels, curry) {
return i
}
}
return len(metrics)
}
func matchLabelValues(values []string, lvs []string, curry []curriedLabelValue) bool {
if len(values) != len(lvs)+len(curry) {
return false
}
var iLVs, iCurry int
for i, v := range values {
if iCurry < len(curry) && curry[iCurry].index == i {
if v != curry[iCurry].value {
return false
}
iCurry++
continue
}
if v != lvs[iLVs] {
return false
}
iLVs++
}
return true
}
func matchLabels(desc *Desc, values []string, labels Labels, curry []curriedLabelValue) bool {
if len(values) != len(labels)+len(curry) {
return false
}
iCurry := 0
for i, k := range desc.variableLabels {
if iCurry < len(curry) && curry[iCurry].index == i {
if values[i] != curry[iCurry].value {
return false
}
iCurry++
continue
}
if values[i] != labels[k] {
return false
}
}
return true
}
func extractLabelValues(desc *Desc, labels Labels, curry []curriedLabelValue) []string {
labelValues := make([]string, len(labels)+len(curry))
iCurry := 0
for i, k := range desc.variableLabels {
if iCurry < len(curry) && curry[iCurry].index == i {
labelValues[i] = curry[iCurry].value
iCurry++
continue
}
labelValues[i] = labels[k]
}
return labelValues
}
func inlineLabelValues(lvs []string, curry []curriedLabelValue) []string {
labelValues := make([]string, len(lvs)+len(curry))
var iCurry, iLVs int
for i := range labelValues {
if iCurry < len(curry) && curry[iCurry].index == i {
labelValues[i] = curry[iCurry].value
iCurry++
continue
}
labelValues[i] = lvs[iLVs]
iLVs++
}
return labelValues
}
+201
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Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
+5
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@@ -0,0 +1,5 @@
Data model artifacts for Prometheus.
Copyright 2012-2015 The Prometheus Authors
This product includes software developed at
SoundCloud Ltd. (http://soundcloud.com/).
+364
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@@ -0,0 +1,364 @@
// Code generated by protoc-gen-go.
// source: metrics.proto
// DO NOT EDIT!
/*
Package io_prometheus_client is a generated protocol buffer package.
It is generated from these files:
metrics.proto
It has these top-level messages:
LabelPair
Gauge
Counter
Quantile
Summary
Untyped
Histogram
Bucket
Metric
MetricFamily
*/
package io_prometheus_client
import proto "github.com/golang/protobuf/proto"
import math "math"
// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = math.Inf
type MetricType int32
const (
MetricType_COUNTER MetricType = 0
MetricType_GAUGE MetricType = 1
MetricType_SUMMARY MetricType = 2
MetricType_UNTYPED MetricType = 3
MetricType_HISTOGRAM MetricType = 4
)
var MetricType_name = map[int32]string{
0: "COUNTER",
1: "GAUGE",
2: "SUMMARY",
3: "UNTYPED",
4: "HISTOGRAM",
}
var MetricType_value = map[string]int32{
"COUNTER": 0,
"GAUGE": 1,
"SUMMARY": 2,
"UNTYPED": 3,
"HISTOGRAM": 4,
}
func (x MetricType) Enum() *MetricType {
p := new(MetricType)
*p = x
return p
}
func (x MetricType) String() string {
return proto.EnumName(MetricType_name, int32(x))
}
func (x *MetricType) UnmarshalJSON(data []byte) error {
value, err := proto.UnmarshalJSONEnum(MetricType_value, data, "MetricType")
if err != nil {
return err
}
*x = MetricType(value)
return nil
}
type LabelPair struct {
Name *string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
Value *string `protobuf:"bytes,2,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *LabelPair) Reset() { *m = LabelPair{} }
func (m *LabelPair) String() string { return proto.CompactTextString(m) }
func (*LabelPair) ProtoMessage() {}
func (m *LabelPair) GetName() string {
if m != nil && m.Name != nil {
return *m.Name
}
return ""
}
func (m *LabelPair) GetValue() string {
if m != nil && m.Value != nil {
return *m.Value
}
return ""
}
type Gauge struct {
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Gauge) Reset() { *m = Gauge{} }
func (m *Gauge) String() string { return proto.CompactTextString(m) }
func (*Gauge) ProtoMessage() {}
func (m *Gauge) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Counter struct {
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Counter) Reset() { *m = Counter{} }
func (m *Counter) String() string { return proto.CompactTextString(m) }
func (*Counter) ProtoMessage() {}
func (m *Counter) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Quantile struct {
Quantile *float64 `protobuf:"fixed64,1,opt,name=quantile" json:"quantile,omitempty"`
Value *float64 `protobuf:"fixed64,2,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Quantile) Reset() { *m = Quantile{} }
func (m *Quantile) String() string { return proto.CompactTextString(m) }
func (*Quantile) ProtoMessage() {}
func (m *Quantile) GetQuantile() float64 {
if m != nil && m.Quantile != nil {
return *m.Quantile
}
return 0
}
func (m *Quantile) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Summary struct {
SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count" json:"sample_count,omitempty"`
SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum" json:"sample_sum,omitempty"`
Quantile []*Quantile `protobuf:"bytes,3,rep,name=quantile" json:"quantile,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Summary) Reset() { *m = Summary{} }
func (m *Summary) String() string { return proto.CompactTextString(m) }
func (*Summary) ProtoMessage() {}
func (m *Summary) GetSampleCount() uint64 {
if m != nil && m.SampleCount != nil {
return *m.SampleCount
}
return 0
}
func (m *Summary) GetSampleSum() float64 {
if m != nil && m.SampleSum != nil {
return *m.SampleSum
}
return 0
}
func (m *Summary) GetQuantile() []*Quantile {
if m != nil {
return m.Quantile
}
return nil
}
type Untyped struct {
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Untyped) Reset() { *m = Untyped{} }
func (m *Untyped) String() string { return proto.CompactTextString(m) }
func (*Untyped) ProtoMessage() {}
func (m *Untyped) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Histogram struct {
SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count" json:"sample_count,omitempty"`
SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum" json:"sample_sum,omitempty"`
Bucket []*Bucket `protobuf:"bytes,3,rep,name=bucket" json:"bucket,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Histogram) Reset() { *m = Histogram{} }
func (m *Histogram) String() string { return proto.CompactTextString(m) }
func (*Histogram) ProtoMessage() {}
func (m *Histogram) GetSampleCount() uint64 {
if m != nil && m.SampleCount != nil {
return *m.SampleCount
}
return 0
}
func (m *Histogram) GetSampleSum() float64 {
if m != nil && m.SampleSum != nil {
return *m.SampleSum
}
return 0
}
func (m *Histogram) GetBucket() []*Bucket {
if m != nil {
return m.Bucket
}
return nil
}
type Bucket struct {
CumulativeCount *uint64 `protobuf:"varint,1,opt,name=cumulative_count" json:"cumulative_count,omitempty"`
UpperBound *float64 `protobuf:"fixed64,2,opt,name=upper_bound" json:"upper_bound,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Bucket) Reset() { *m = Bucket{} }
func (m *Bucket) String() string { return proto.CompactTextString(m) }
func (*Bucket) ProtoMessage() {}
func (m *Bucket) GetCumulativeCount() uint64 {
if m != nil && m.CumulativeCount != nil {
return *m.CumulativeCount
}
return 0
}
func (m *Bucket) GetUpperBound() float64 {
if m != nil && m.UpperBound != nil {
return *m.UpperBound
}
return 0
}
type Metric struct {
Label []*LabelPair `protobuf:"bytes,1,rep,name=label" json:"label,omitempty"`
Gauge *Gauge `protobuf:"bytes,2,opt,name=gauge" json:"gauge,omitempty"`
Counter *Counter `protobuf:"bytes,3,opt,name=counter" json:"counter,omitempty"`
Summary *Summary `protobuf:"bytes,4,opt,name=summary" json:"summary,omitempty"`
Untyped *Untyped `protobuf:"bytes,5,opt,name=untyped" json:"untyped,omitempty"`
Histogram *Histogram `protobuf:"bytes,7,opt,name=histogram" json:"histogram,omitempty"`
TimestampMs *int64 `protobuf:"varint,6,opt,name=timestamp_ms" json:"timestamp_ms,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Metric) Reset() { *m = Metric{} }
func (m *Metric) String() string { return proto.CompactTextString(m) }
func (*Metric) ProtoMessage() {}
func (m *Metric) GetLabel() []*LabelPair {
if m != nil {
return m.Label
}
return nil
}
func (m *Metric) GetGauge() *Gauge {
if m != nil {
return m.Gauge
}
return nil
}
func (m *Metric) GetCounter() *Counter {
if m != nil {
return m.Counter
}
return nil
}
func (m *Metric) GetSummary() *Summary {
if m != nil {
return m.Summary
}
return nil
}
func (m *Metric) GetUntyped() *Untyped {
if m != nil {
return m.Untyped
}
return nil
}
func (m *Metric) GetHistogram() *Histogram {
if m != nil {
return m.Histogram
}
return nil
}
func (m *Metric) GetTimestampMs() int64 {
if m != nil && m.TimestampMs != nil {
return *m.TimestampMs
}
return 0
}
type MetricFamily struct {
Name *string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
Help *string `protobuf:"bytes,2,opt,name=help" json:"help,omitempty"`
Type *MetricType `protobuf:"varint,3,opt,name=type,enum=io.prometheus.client.MetricType" json:"type,omitempty"`
Metric []*Metric `protobuf:"bytes,4,rep,name=metric" json:"metric,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *MetricFamily) Reset() { *m = MetricFamily{} }
func (m *MetricFamily) String() string { return proto.CompactTextString(m) }
func (*MetricFamily) ProtoMessage() {}
func (m *MetricFamily) GetName() string {
if m != nil && m.Name != nil {
return *m.Name
}
return ""
}
func (m *MetricFamily) GetHelp() string {
if m != nil && m.Help != nil {
return *m.Help
}
return ""
}
func (m *MetricFamily) GetType() MetricType {
if m != nil && m.Type != nil {
return *m.Type
}
return MetricType_COUNTER
}
func (m *MetricFamily) GetMetric() []*Metric {
if m != nil {
return m.Metric
}
return nil
}
func init() {
proto.RegisterEnum("io.prometheus.client.MetricType", MetricType_name, MetricType_value)
}
+201
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@@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
+5
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@@ -0,0 +1,5 @@
Common libraries shared by Prometheus Go components.
Copyright 2015 The Prometheus Authors
This product includes software developed at
SoundCloud Ltd. (http://soundcloud.com/).
+429
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@@ -0,0 +1,429 @@
// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package expfmt
import (
"fmt"
"io"
"math"
"mime"
"net/http"
dto "github.com/prometheus/client_model/go"
"github.com/matttproud/golang_protobuf_extensions/pbutil"
"github.com/prometheus/common/model"
)
// Decoder types decode an input stream into metric families.
type Decoder interface {
Decode(*dto.MetricFamily) error
}
// DecodeOptions contains options used by the Decoder and in sample extraction.
type DecodeOptions struct {
// Timestamp is added to each value from the stream that has no explicit timestamp set.
Timestamp model.Time
}
// ResponseFormat extracts the correct format from a HTTP response header.
// If no matching format can be found FormatUnknown is returned.
func ResponseFormat(h http.Header) Format {
ct := h.Get(hdrContentType)
mediatype, params, err := mime.ParseMediaType(ct)
if err != nil {
return FmtUnknown
}
const textType = "text/plain"
switch mediatype {
case ProtoType:
if p, ok := params["proto"]; ok && p != ProtoProtocol {
return FmtUnknown
}
if e, ok := params["encoding"]; ok && e != "delimited" {
return FmtUnknown
}
return FmtProtoDelim
case textType:
if v, ok := params["version"]; ok && v != TextVersion {
return FmtUnknown
}
return FmtText
}
return FmtUnknown
}
// NewDecoder returns a new decoder based on the given input format.
// If the input format does not imply otherwise, a text format decoder is returned.
func NewDecoder(r io.Reader, format Format) Decoder {
switch format {
case FmtProtoDelim:
return &protoDecoder{r: r}
}
return &textDecoder{r: r}
}
// protoDecoder implements the Decoder interface for protocol buffers.
type protoDecoder struct {
r io.Reader
}
// Decode implements the Decoder interface.
func (d *protoDecoder) Decode(v *dto.MetricFamily) error {
_, err := pbutil.ReadDelimited(d.r, v)
if err != nil {
return err
}
if !model.IsValidMetricName(model.LabelValue(v.GetName())) {
return fmt.Errorf("invalid metric name %q", v.GetName())
}
for _, m := range v.GetMetric() {
if m == nil {
continue
}
for _, l := range m.GetLabel() {
if l == nil {
continue
}
if !model.LabelValue(l.GetValue()).IsValid() {
return fmt.Errorf("invalid label value %q", l.GetValue())
}
if !model.LabelName(l.GetName()).IsValid() {
return fmt.Errorf("invalid label name %q", l.GetName())
}
}
}
return nil
}
// textDecoder implements the Decoder interface for the text protocol.
type textDecoder struct {
r io.Reader
p TextParser
fams []*dto.MetricFamily
}
// Decode implements the Decoder interface.
func (d *textDecoder) Decode(v *dto.MetricFamily) error {
// TODO(fabxc): Wrap this as a line reader to make streaming safer.
if len(d.fams) == 0 {
// No cached metric families, read everything and parse metrics.
fams, err := d.p.TextToMetricFamilies(d.r)
if err != nil {
return err
}
if len(fams) == 0 {
return io.EOF
}
d.fams = make([]*dto.MetricFamily, 0, len(fams))
for _, f := range fams {
d.fams = append(d.fams, f)
}
}
*v = *d.fams[0]
d.fams = d.fams[1:]
return nil
}
// SampleDecoder wraps a Decoder to extract samples from the metric families
// decoded by the wrapped Decoder.
type SampleDecoder struct {
Dec Decoder
Opts *DecodeOptions
f dto.MetricFamily
}
// Decode calls the Decode method of the wrapped Decoder and then extracts the
// samples from the decoded MetricFamily into the provided model.Vector.
func (sd *SampleDecoder) Decode(s *model.Vector) error {
err := sd.Dec.Decode(&sd.f)
if err != nil {
return err
}
*s, err = extractSamples(&sd.f, sd.Opts)
return err
}
// ExtractSamples builds a slice of samples from the provided metric
// families. If an error occurs during sample extraction, it continues to
// extract from the remaining metric families. The returned error is the last
// error that has occured.
func ExtractSamples(o *DecodeOptions, fams ...*dto.MetricFamily) (model.Vector, error) {
var (
all model.Vector
lastErr error
)
for _, f := range fams {
some, err := extractSamples(f, o)
if err != nil {
lastErr = err
continue
}
all = append(all, some...)
}
return all, lastErr
}
func extractSamples(f *dto.MetricFamily, o *DecodeOptions) (model.Vector, error) {
switch f.GetType() {
case dto.MetricType_COUNTER:
return extractCounter(o, f), nil
case dto.MetricType_GAUGE:
return extractGauge(o, f), nil
case dto.MetricType_SUMMARY:
return extractSummary(o, f), nil
case dto.MetricType_UNTYPED:
return extractUntyped(o, f), nil
case dto.MetricType_HISTOGRAM:
return extractHistogram(o, f), nil
}
return nil, fmt.Errorf("expfmt.extractSamples: unknown metric family type %v", f.GetType())
}
func extractCounter(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Counter == nil {
continue
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
smpl := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Counter.GetValue()),
}
if m.TimestampMs != nil {
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
} else {
smpl.Timestamp = o.Timestamp
}
samples = append(samples, smpl)
}
return samples
}
func extractGauge(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Gauge == nil {
continue
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
smpl := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Gauge.GetValue()),
}
if m.TimestampMs != nil {
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
} else {
smpl.Timestamp = o.Timestamp
}
samples = append(samples, smpl)
}
return samples
}
func extractUntyped(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Untyped == nil {
continue
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
smpl := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Untyped.GetValue()),
}
if m.TimestampMs != nil {
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
} else {
smpl.Timestamp = o.Timestamp
}
samples = append(samples, smpl)
}
return samples
}
func extractSummary(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Summary == nil {
continue
}
timestamp := o.Timestamp
if m.TimestampMs != nil {
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
}
for _, q := range m.Summary.Quantile {
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
// BUG(matt): Update other names to "quantile".
lset[model.LabelName(model.QuantileLabel)] = model.LabelValue(fmt.Sprint(q.GetQuantile()))
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(q.GetValue()),
Timestamp: timestamp,
})
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Summary.GetSampleSum()),
Timestamp: timestamp,
})
lset = make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Summary.GetSampleCount()),
Timestamp: timestamp,
})
}
return samples
}
func extractHistogram(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Histogram == nil {
continue
}
timestamp := o.Timestamp
if m.TimestampMs != nil {
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
}
infSeen := false
for _, q := range m.Histogram.Bucket {
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.LabelName(model.BucketLabel)] = model.LabelValue(fmt.Sprint(q.GetUpperBound()))
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
if math.IsInf(q.GetUpperBound(), +1) {
infSeen = true
}
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(q.GetCumulativeCount()),
Timestamp: timestamp,
})
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Histogram.GetSampleSum()),
Timestamp: timestamp,
})
lset = make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
count := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Histogram.GetSampleCount()),
Timestamp: timestamp,
}
samples = append(samples, count)
if !infSeen {
// Append an infinity bucket sample.
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.LabelName(model.BucketLabel)] = model.LabelValue("+Inf")
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: count.Value,
Timestamp: timestamp,
})
}
}
return samples
}
+88
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package expfmt
import (
"fmt"
"io"
"net/http"
"github.com/golang/protobuf/proto"
"github.com/matttproud/golang_protobuf_extensions/pbutil"
"github.com/prometheus/common/internal/bitbucket.org/ww/goautoneg"
dto "github.com/prometheus/client_model/go"
)
// Encoder types encode metric families into an underlying wire protocol.
type Encoder interface {
Encode(*dto.MetricFamily) error
}
type encoder func(*dto.MetricFamily) error
func (e encoder) Encode(v *dto.MetricFamily) error {
return e(v)
}
// Negotiate returns the Content-Type based on the given Accept header.
// If no appropriate accepted type is found, FmtText is returned.
func Negotiate(h http.Header) Format {
for _, ac := range goautoneg.ParseAccept(h.Get(hdrAccept)) {
// Check for protocol buffer
if ac.Type+"/"+ac.SubType == ProtoType && ac.Params["proto"] == ProtoProtocol {
switch ac.Params["encoding"] {
case "delimited":
return FmtProtoDelim
case "text":
return FmtProtoText
case "compact-text":
return FmtProtoCompact
}
}
// Check for text format.
ver := ac.Params["version"]
if ac.Type == "text" && ac.SubType == "plain" && (ver == TextVersion || ver == "") {
return FmtText
}
}
return FmtText
}
// NewEncoder returns a new encoder based on content type negotiation.
func NewEncoder(w io.Writer, format Format) Encoder {
switch format {
case FmtProtoDelim:
return encoder(func(v *dto.MetricFamily) error {
_, err := pbutil.WriteDelimited(w, v)
return err
})
case FmtProtoCompact:
return encoder(func(v *dto.MetricFamily) error {
_, err := fmt.Fprintln(w, v.String())
return err
})
case FmtProtoText:
return encoder(func(v *dto.MetricFamily) error {
_, err := fmt.Fprintln(w, proto.MarshalTextString(v))
return err
})
case FmtText:
return encoder(func(v *dto.MetricFamily) error {
_, err := MetricFamilyToText(w, v)
return err
})
}
panic("expfmt.NewEncoder: unknown format")
}
+38
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package expfmt contains tools for reading and writing Prometheus metrics.
package expfmt
// Format specifies the HTTP content type of the different wire protocols.
type Format string
// Constants to assemble the Content-Type values for the different wire protocols.
const (
TextVersion = "0.0.4"
ProtoType = `application/vnd.google.protobuf`
ProtoProtocol = `io.prometheus.client.MetricFamily`
ProtoFmt = ProtoType + "; proto=" + ProtoProtocol + ";"
// The Content-Type values for the different wire protocols.
FmtUnknown Format = `<unknown>`
FmtText Format = `text/plain; version=` + TextVersion + `; charset=utf-8`
FmtProtoDelim Format = ProtoFmt + ` encoding=delimited`
FmtProtoText Format = ProtoFmt + ` encoding=text`
FmtProtoCompact Format = ProtoFmt + ` encoding=compact-text`
)
const (
hdrContentType = "Content-Type"
hdrAccept = "Accept"
)
+36
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@@ -0,0 +1,36 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Build only when actually fuzzing
// +build gofuzz
package expfmt
import "bytes"
// Fuzz text metric parser with with github.com/dvyukov/go-fuzz:
//
// go-fuzz-build github.com/prometheus/common/expfmt
// go-fuzz -bin expfmt-fuzz.zip -workdir fuzz
//
// Further input samples should go in the folder fuzz/corpus.
func Fuzz(in []byte) int {
parser := TextParser{}
_, err := parser.TextToMetricFamilies(bytes.NewReader(in))
if err != nil {
return 0
}
return 1
}

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