docs: update ec description

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Feng Ruohang
2026-09-17 09:42:26 +08:00
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# Silo Erasure Code Quickstart Guide
Silo protects data against hardware failures and silent data corruption using erasure code and checksums. With the highest level of redundancy, you may lose up to half (N/2) of the total drives and still be able to recover the data.
Silo protects data against hardware failures and silent data corruption using erasure coding and checksums. Recovery depends on the healthy shards and metadata remaining in each object's erasure set. With maximum parity, an object can tolerate the loss of up to `floor(N/2)` shards in its `N`-drive set; the deployment's total online drive count is not sufficient to determine recoverability.
## What is Erasure Code?
Erasure code is a mathematical algorithm to reconstruct missing or corrupted data. Silo uses Reed-Solomon code to shard objects into variable data and parity blocks. For example, in a 12 drive setup, an object can be sharded to a variable number of data and parity blocks across all the drives - ranging from six data and six parity blocks to ten data and two parity blocks.
Erasure coding uses mathematical algorithms to reconstruct missing or corrupted data. Silo uses Reed-Solomon codes to split objects into data and parity shards. For a 12-drive erasure set, parity can range from `EC:0` (12 data shards and no parity) to `EC:6` (six data shards and six parity shards).
By default, Silo shards the objects across N/2 data and N/2 parity drives. Though, you can use [storage classes](https://github.com/pgsty/silo/tree/main/docs/erasure/storage-class) to use a custom configuration. We recommend N/2 data and parity blocks, as it ensures the best protection from drive failures.
The default parity depends on the erasure set size: `EC:0` for 1 drive, `EC:1` for 2–3 drives, `EC:2` for 4–5 drives, `EC:3` for 6–7 drives, and `EC:4` for 8–16 drives. See the [Silo storage-class reference](https://silo.pgsty.com/reference/minio-server/settings/storage-class/) for configuration details.
In 12 drive example above, with Silo server running in the default configuration, you can lose any of the six drives and still reconstruct the data reliably from the remaining drives.
In the 12-drive example, the default `EC:4` layout uses eight data shards and four parity shards. An existing object can tolerate four unavailable shards if the remaining shards and metadata are intact. Explicit `EC:6` instead uses six data and six parity shards, with a read quorum of six and a write quorum of seven.
## Why is Erasure Code useful?
Erasure code protects data from multiple drives failure, unlike RAID or replication. For example, RAID6 can protect against two drive failure whereas in Silo erasure code you can lose as many as half of drives and still the data remains safe. Further, Silo's erasure code is at the object level and can heal one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As Silo encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing for the lifetime of the server. Silo's erasure coded backend is designed for operational efficiency and takes full advantage of hardware acceleration whenever available.
Erasure coding protects objects against drive failures within their erasure set, up to the parity recorded for each object. Silo encodes objects individually and can heal them incrementally when enough healthy shards and consistent metadata remain. Failed drives still need repair or replacement to restore redundancy; erasure coding does not eliminate that maintenance.
![Erasure](https://github.com/pgsty/silo/blob/main/docs/screenshots/erasure-code.jpg?raw=true)
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### 3. Test your setup
You may unplug drives randomly and continue to perform I/O on the system.
In a test deployment, take drives offline and verify reads and writes against the quorum required by each erasure set and object layout. Restore the drives after each test; continued I/O depends on the remaining healthy shards and metadata.