mirror of https://github.com/ceph/ceph
361 lines
11 KiB
ReStructuredText
361 lines
11 KiB
ReStructuredText
======================================
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Locally repairable erasure code plugin
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======================================
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With the *jerasure* plugin, when an erasure coded object is stored on
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multiple OSDs, recovering from the loss of one OSD requires reading
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from all the others. For instance if *jerasure* is configured with
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*k=8* and *m=4*, losing one OSD requires reading from the eleven
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others to repair.
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The *lrc* erasure code plugin creates local parity chunks to be able
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to recover using less OSDs. For instance if *lrc* is configured with
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*k=8*, *m=4* and *l=4*, it will create an additional parity chunk for
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every four OSDs. When a single OSD is lost, it can be recovered with
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only four OSDs instead of eleven.
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Erasure code profile examples
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=============================
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Reduce recovery bandwidth between hosts
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---------------------------------------
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Although it is probably not an interesting use case when all hosts are
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connected to the same switch, reduced bandwidth usage can actually be
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observed.::
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$ ceph osd erasure-code-profile set LRCprofile \
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plugin=lrc \
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k=4 m=2 l=3 \
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ruleset-failure-domain=host
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$ ceph osd pool create lrcpool 12 12 erasure LRCprofile
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Reduce recovery bandwidth between racks
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---------------------------------------
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In Firefly the reduced bandwidth will only be observed if the primary
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OSD is in the same rack as the lost chunk.::
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$ ceph osd erasure-code-profile set LRCprofile \
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plugin=lrc \
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k=4 m=2 l=3 \
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ruleset-locality=rack \
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ruleset-failure-domain=host
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$ ceph osd pool create lrcpool 12 12 erasure LRCprofile
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Create an lrc profile
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=====================
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To create a new lrc erasure code profile::
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ceph osd erasure-code-profile set {name} \
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plugin=lrc \
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k={data-chunks} \
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m={coding-chunks} \
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l={locality} \
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[ruleset-root={root}] \
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[ruleset-locality={bucket-type}] \
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[ruleset-failure-domain={bucket-type}] \
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[directory={directory}] \
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[--force]
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Where:
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``k={data chunks}``
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:Description: Each object is split in **data-chunks** parts,
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each stored on a different OSD.
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:Type: Integer
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:Required: Yes.
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:Example: 4
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``m={coding-chunks}``
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:Description: Compute **coding chunks** for each object and store them
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on different OSDs. The number of coding chunks is also
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the number of OSDs that can be down without losing data.
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:Type: Integer
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:Required: Yes.
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:Example: 2
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``l={locality}``
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:Description: Group the coding and data chunks into sets of size
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**locality**. For instance, for **k=4** and **m=2**,
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when **locality=3** two groups of three are created.
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Each set can be recovered without reading chunks
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from another set.
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:Type: Integer
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:Required: Yes.
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:Example: 3
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``ruleset-root={root}``
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:Description: The name of the crush bucket used for the first step of
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the ruleset. For intance **step take default**.
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:Type: String
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:Required: No.
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:Default: default
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``ruleset-locality={bucket-type}``
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:Description: The type of the crush bucket in which each set of chunks
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defined by **l** will be stored. For instance, if it is
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set to **rack**, each group of **l** chunks will be
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placed in a different rack. It is used to create a
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ruleset step such as **step choose rack**. If it is not
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set, no such grouping is done.
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:Type: String
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:Required: No.
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``ruleset-failure-domain={bucket-type}``
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:Description: Ensure that no two chunks are in a bucket with the same
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failure domain. For instance, if the failure domain is
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**host** no two chunks will be stored on the same
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host. It is used to create a ruleset step such as **step
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chooseleaf host**.
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:Type: String
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:Required: No.
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:Default: host
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``directory={directory}``
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:Description: Set the **directory** name from which the erasure code
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plugin is loaded.
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:Type: String
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:Required: No.
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:Default: /usr/lib/ceph/erasure-code
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``--force``
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:Description: Override an existing profile by the same name.
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:Type: String
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:Required: No.
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Low level plugin configuration
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==============================
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The sum of **k** and **m** must be a multiple of the **l** parameter.
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The low level configuration parameters do not impose such a
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restriction and it may be more convienient to use it for specific
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purposes. It is for instance possible to define two groups, one with 4
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chunks and another with 3 chunks. It is also possible to recursively
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define locality sets, for instance datacenters and racks into
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datacenters. The **k/m/l** are implemented by generating a low level
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configuration.
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The *lrc* erasure code plugin recursively applies erasure code
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techniques so that recovering from the loss of some chunks only
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requires a subset of the available chunks, most of the time.
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For instance, when three coding steps are described as::
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chunk nr 01234567
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step 1 _cDD_cDD
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step 2 cDDD____
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step 3 ____cDDD
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where *c* are coding chunks calculated from the data chunks *D*, the
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loss of chunk *7* can be recovered with the last four chunks. And the
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loss of chunk *2* chunk can be recovered with the first four
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chunks.
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Erasure code profile examples using low level configuration
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===========================================================
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Minimal testing
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---------------
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It is strictly equivalent to using the default erasure code profile. The *DD*
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implies *K=2*, the *c* implies *M=1* and the *jerasure* plugin is used
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by default.::
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$ ceph osd erasure-code-profile set LRCprofile \
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plugin=lrc \
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mapping=DD_ \
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layers='[ [ "DDc", "" ] ]'
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$ ceph osd pool create lrcpool 12 12 erasure LRCprofile
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Reduce recovery bandwidth between hosts
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---------------------------------------
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Although it is probably not an interesting use case when all hosts are
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connected to the same switch, reduced bandwidth usage can actually be
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observed. It is equivalent to **k=4**, **m=2** and **l=3** although
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the layout of the chunks is different::
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$ ceph osd erasure-code-profile set LRCprofile \
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plugin=lrc \
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mapping=__DD__DD \
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layers='[
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[ "_cDD_cDD", "" ],
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[ "cDDD____", "" ],
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[ "____cDDD", "" ],
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]'
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$ ceph osd pool create lrcpool 12 12 erasure LRCprofile
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Reduce recovery bandwidth between racks
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---------------------------------------
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In Firefly the reduced bandwidth will only be observed if the primary
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OSD is in the same rack as the lost chunk.::
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$ ceph osd erasure-code-profile set LRCprofile \
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plugin=lrc \
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mapping=__DD__DD \
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layers='[
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[ "_cDD_cDD", "" ],
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[ "cDDD____", "" ],
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[ "____cDDD", "" ],
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]' \
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ruleset-steps='[
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[ "choose", "rack", 2 ],
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[ "chooseleaf", "host", 4 ],
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]'
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$ ceph osd pool create lrcpool 12 12 erasure LRCprofile
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Testing with different Erasure Code backends
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--------------------------------------------
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LRC now uses jerasure as the default EC backend. It is possible to
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specify the EC backend/algorithm on a per layer basis using the low
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level configuration. The second argument in layers='[ [ "DDc", "" ] ]'
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is actually an erasure code profile to be used for this level. The
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example below specifies the ISA backend with the cauchy technique to
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be used in the lrcpool.::
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$ ceph osd erasure-code-profile set LRCprofile \
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plugin=lrc \
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mapping=DD_ \
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layers='[ [ "DDc", "plugin=isa technique=cauchy" ] ]'
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$ ceph osd pool create lrcpool 12 12 erasure LRCprofile
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You could also use a different erasure code profile for for each
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layer.::
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$ ceph osd erasure-code-profile set LRCprofile \
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plugin=lrc \
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mapping=__DD__DD \
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layers='[
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[ "_cDD_cDD", "plugin=isa technique=cauchy" ],
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[ "cDDD____", "plugin=isa" ],
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[ "____cDDD", "plugin=jerasure" ],
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]'
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$ ceph osd pool create lrcpool 12 12 erasure LRCprofile
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Erasure coding and decoding algorithm
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=====================================
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The steps found in the layers description::
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chunk nr 01234567
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step 1 _cDD_cDD
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step 2 cDDD____
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step 3 ____cDDD
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are applied in order. For instance, if a 4K object is encoded, it will
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first go thru *step 1* and be divided in four 1K chunks (the four
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uppercase D). They are stored in the chunks 2, 3, 6 and 7, in
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order. From these, two coding chunks are calculated (the two lowercase
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c). The coding chunks are stored in the chunks 1 and 5, respectively.
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The *step 2* re-uses the content created by *step 1* in a similar
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fashion and stores a single coding chunk *c* at position 0. The last four
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chunks, marked with an underscore (*_*) for readability, are ignored.
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The *step 3* stores a single coding chunk *c* at position 4. The three
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chunks created by *step 1* are used to compute this coding chunk,
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i.e. the coding chunk from *step 1* becomes a data chunk in *step 3*.
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If chunk *2* is lost::
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chunk nr 01234567
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step 1 _c D_cDD
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step 2 cD D____
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step 3 __ _cDDD
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decoding will attempt to recover it by walking the steps in reverse
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order: *step 3* then *step 2* and finally *step 1*.
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The *step 3* knows nothing about chunk *2* (i.e. it is an underscore)
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and is skipped.
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The coding chunk from *step 2*, stored in chunk *0*, allows it to
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recover the content of chunk *2*. There are no more chunks to recover
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and the process stops, without considering *step 1*.
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Recovering chunk *2* requires reading chunks *0, 1, 3* and writing
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back chunk *2*.
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If chunk *2, 3, 6* are lost::
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chunk nr 01234567
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step 1 _c _c D
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step 2 cD __ _
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step 3 __ cD D
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The *step 3* can recover the content of chunk *6*::
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chunk nr 01234567
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step 1 _c _cDD
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step 2 cD ____
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step 3 __ cDDD
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The *step 2* fails to recover and is skipped because there are two
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chunks missing (*2, 3*) and it can only recover from one missing
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chunk.
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The coding chunk from *step 1*, stored in chunk *1, 5*, allows it to
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recover the content of chunk *2, 3*::
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chunk nr 01234567
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step 1 _cDD_cDD
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step 2 cDDD____
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step 3 ____cDDD
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Controlling crush placement
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===========================
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The default crush ruleset provides OSDs that are on different hosts. For instance::
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chunk nr 01234567
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step 1 _cDD_cDD
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step 2 cDDD____
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step 3 ____cDDD
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needs exactly *8* OSDs, one for each chunk. If the hosts are in two
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adjacent racks, the first four chunks can be placed in the first rack
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and the last four in the second rack. So that recovering from the loss
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of a single OSD does not require using bandwidth between the two
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racks.
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For instance::
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ruleset-steps='[ [ "choose", "rack", 2 ], [ "chooseleaf", "host", 4 ] ]'
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will create a ruleset that will select two crush buckets of type
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*rack* and for each of them choose four OSDs, each of them located in
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different buckets of type *host*.
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The ruleset can also be manually crafted for finer control.
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