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.. _minio-erasure-coding:
==============
Erasure Coding
==============
.. default-domain:: minio
.. contents:: Table of Contents
:local:
:depth: 2
MinIO Erasure Coding is a data redundancy and availability feature that allows
MinIO deployments to automatically reconstruct objects on-the-fly despite the
loss of multiple drives or nodes in the cluster. Erasure Coding provides
object-level healing with less overhead than adjacent technologies such as
RAID or replication.
MinIO splits each new object into data and parity blocks, where parity blocks
support reconstruction of missing or corrupted data blocks. MinIO writes these
blocks to a single :ref:`erasure set <minio-ec-erasure-set>` in the deployment.
Since erasure set drives are striped across the deployment, a given node
typically contains only a portion of data or parity blocks for each object.
MinIO can therefore tolerate the loss of multiple drives or nodes in the
deployment depending on the configured parity and deployment topology.
.. image:: /images/erasure-code.jpg
:width: 600px
:alt: MinIO Erasure Coding example
:align: center
At maximum parity, MinIO can tolerate the loss of up to half the drives per
erasure set (``N/2-1``) and still perform read and write operations. MinIO
defaults to 4 parity blocks per object with tolerance for the loss of 4 drives
per erasure set. For more complete information on selecting erasure code parity,
see :ref:`minio-ec-parity`.
Erasure coding is a core requirement for the following MinIO features:
- :ref:`Object Versioning <minio-bucket-versioning>`
- :ref:`Server-Side Replication <minio-bucket-replication>`
- :ref:`Write-Once Read-Many Locking <minio-bucket-locking>`
Use the MinIO `Erasure Code Calculator
<https://min.io/product/erasure-code-calculator?ref=docs>`__ when planning and
designing your MinIO deployment to explore the effect of erasure code settings
on your intended topology.
Zero-Parity Deployments
-----------------------
Starting with :minio-release:`RELEASE.2022-06-02T02-11-04Z`, MinIO supports a Single-Node Single-Drive (SNSD) topology with a zero-parity erasure coding backend.
Erasure Coding protections do not apply to the zero-parity backend of |SNSD| deployments.
Zero-parity deployments depend on the underlying storage for resiliency and availability.
.. _minio-ec-erasure-set:
Erasure Sets
------------
An *Erasure Set* is a set of drives in a MinIO deployment that support Erasure
Coding. MinIO evenly distributes object data and parity blocks among the drives
in the Erasure Set. MinIO randomly and uniformly distributes the data and parity
blocks across drives in the erasure set with *no overlap*. Each unique object
has no more than one data or parity block per drive in the set.
MinIO calculates the number and size of *Erasure Sets* by dividing the total
number of drives in the :ref:`Server Pool <minio-intro-server-pool>` into sets
consisting of between 4 and 16 drives each.
Use the MinIO
`Erasure Coding Calculator <https://min.io/product/erasure-code-calculator>`__
to determine the optimal erasure set size for your preferred MinIO topology.
.. _minio-ec-parity:
Erasure Code Parity (``EC:N``)
------------------------------
MinIO uses a Reed-Solomon algorithm to split objects into data and parity blocks
based on the :ref:`Erasure Set <minio-ec-erasure-set>` size in the deployment.
For a given erasure set of size ``M``, MinIO splits objects into ``N`` parity
blocks and ``M-N`` data blocks.
MinIO uses the ``EC:N`` notation to refer to the number of parity blocks (``N``)
in the deployment. MinIO defaults to ``EC:4`` or 4 parity blocks per object.
MinIO uses the same ``EC:N`` value for all erasure sets and
:ref:`server pools <minio-intro-server-pool>` in the deployment.
MinIO can tolerate the loss of up to ``N`` drives per erasure set and
continue performing read and write operations ("quorum"). If ``N`` is equal
to exactly 1/2 the drives in the erasure set, MinIO write quorum requires
``N+1`` drives to avoid data inconsistency ("split-brain").
Setting the parity for a deployment is a balance between availability
and total usable storage. Higher parity values increase resiliency to drive
or node failure at the cost of usable storage, while lower parity provides
maximum storage with reduced tolerance for drive/node failures.
Use the MinIO `Erasure Code Calculator
<https://min.io/product/erasure-code-calculator?ref=docs>`__ to explore the
effect of parity on your planned cluster deployment.
The following table lists the outcome of varying erasure code parity levels on
a MinIO deployment consisting of 1 node and 16 1TB drives:
.. list-table:: Outcome of Parity Settings on a 16 Drive MinIO Cluster
:header-rows: 1
:widths: 20 20 20 20 20
:width: 100%
* - Parity
- Total Storage
- Storage Ratio
- Minimum Drives for Read Operations
- Minimum Drives for Write Operations
* - ``EC: 4`` (Default)
- 12 Tebibytes
- 0.750
- 12
- 12
* - ``EC: 6``
- 10 Tebibytes
- 0.625
- 10
- 10
* - ``EC: 8``
- 8 Tebibytes
- 0.500
- 8
- 9
.. _minio-ec-storage-class:
Storage Classes
~~~~~~~~~~~~~~~
MinIO supports storage classes with Erasure Coding to allow applications to
specify per-object :ref:`parity <minio-ec-parity>`. Each storage class specifies
a ``EC:N`` parity setting to apply to objects created with that class.
MinIO storage classes are *distinct* from Amazon Web Services
:s3-docs:`storage classes <storage-class-intro.html>`. MinIO storage classes
define *parity settings per object*, while AWS storage classes define *storage
tiers per object*.
MinIO provides the following two storage classes:
.. tab-set::
.. tab-item:: STANDARD
The ``STANDARD`` storage class is the default class for all objects.
MinIO sets the ``STANDARD`` parity based on the number of volumes
in the Erasure Set:
.. list-table::
:header-rows: 1
:widths: 30 70
:width: 100%
* - Erasure Set Size
- Default Parity (EC:N)
* - 5 or Fewer
- EC:2
* - 6 - 7
- EC:3
* - 8 or more
- EC:4
You can override the default ``STANDARD`` parity using either:
- The :envvar:`MINIO_STORAGE_CLASS_STANDARD` environment variable, *or*
- The :mc:`mc admin config` command to modify the
``storage_class.standard`` configuration setting.
The maximum value is half of the total drives in the
:ref:`Erasure Set <minio-ec-erasure-set>`. The minimum value is ``2``.
``STANDARD`` parity *must* be greater than or equal to
``REDUCED_REDUNDANCY``. If ``REDUCED_REDUNDANCY`` is unset, ``STANDARD``
parity *must* be greater than 2.
.. tab-item:: REDUCED_REDUNDANCY
The ``REDUCED_REDUNDANCY`` storage class allows creating objects with
lower parity than ``STANDARD``. ``REDUCED_REDUNDANCY`` requires
*at least* 5 drives in the MinIO deployment.
MinIO sets the ``REDUCED_REDUNDANCY`` parity to ``EC:2`` by default.
You can override ``REDUCED_REDUNDANCY`` storage class parity using
either:
- The :envvar:`MINIO_STORAGE_CLASS_RRS` environment variable, *or*
- The :mc:`mc admin config` command to modify the
``storage_class.rrs`` configuration setting.
``REDUCED_REDUNDANCY`` parity *must* be less than or equal to
``STANDARD``.
MinIO references the ``x-amz-storage-class`` header in request metadata for
determining which storage class to assign an object. The specific syntax
or method for setting headers depends on your preferred method for
interfacing with the MinIO server.
- For the :mc:`mc` command line tool, certain commands include a specific
option for setting the storage class. For example, the :mc:`mc cp` command
has the :mc-cmd:`~mc cp storage-class` option for specifying the
storage class to assign to the object being copied.
- For MinIO SDKs, the ``S3Client`` object has specific methods for setting
request headers. For example, the ``minio-go`` SDK ``S3Client.PutObject``
method takes a ``PutObjectOptions`` data structure as a parameter.
The ``PutObjectOptions`` data structure includes the ``StorageClass``
option for specifying the storage class to assign to the object being
created.
.. _minio-ec-bitrot-protection:
BitRot Protection
-----------------
.. TODO- ReWrite w/ more detail.
Silent data corruption or bitrot is a serious problem faced by disk drives
resulting in data getting corrupted without the users knowledge. The reasons
are manifold (ageing drives, current spikes, bugs in disk firmware, phantom
writes, misdirected reads/writes, driver errors, accidental overwrites) but the
result is the same - compromised data.
MinIOs optimized implementation of the HighwayHash algorithm ensures that it
will never read corrupted data - it captures and heals corrupted objects on the
fly. Integrity is ensured from end to end by computing a hash on READ and
verifying it on WRITE from the application, across the network and to the
memory/drive. The implementation is designed for speed and can achieve hashing
speeds over 10 GB/sec on a single core on Intel CPUs.