diff options
author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-21 11:54:28 +0000 |
---|---|---|
committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-21 11:54:28 +0000 |
commit | e6918187568dbd01842d8d1d2c808ce16a894239 (patch) | |
tree | 64f88b554b444a49f656b6c656111a145cbbaa28 /doc/rados/operations/erasure-code-clay.rst | |
parent | Initial commit. (diff) | |
download | ceph-e6918187568dbd01842d8d1d2c808ce16a894239.tar.xz ceph-e6918187568dbd01842d8d1d2c808ce16a894239.zip |
Adding upstream version 18.2.2.upstream/18.2.2
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'doc/rados/operations/erasure-code-clay.rst')
-rw-r--r-- | doc/rados/operations/erasure-code-clay.rst | 240 |
1 files changed, 240 insertions, 0 deletions
diff --git a/doc/rados/operations/erasure-code-clay.rst b/doc/rados/operations/erasure-code-clay.rst new file mode 100644 index 000000000..1cffa32f5 --- /dev/null +++ b/doc/rados/operations/erasure-code-clay.rst @@ -0,0 +1,240 @@ +================ +CLAY code plugin +================ + +CLAY (short for coupled-layer) codes are erasure codes designed to bring about significant savings +in terms of network bandwidth and disk IO when a failed node/OSD/rack is being repaired. Let: + + d = number of OSDs contacted during repair + +If *jerasure* is configured with *k=8* and *m=4*, losing one OSD requires +reading from the *d=8* others to repair. And recovery of say a 1GiB needs +a download of 8 X 1GiB = 8GiB of information. + +However, in the case of the *clay* plugin *d* is configurable within the limits: + + k+1 <= d <= k+m-1 + +By default, the clay code plugin picks *d=k+m-1* as it provides the greatest savings in terms +of network bandwidth and disk IO. In the case of the *clay* plugin configured with +*k=8*, *m=4* and *d=11* when a single OSD fails, d=11 osds are contacted and +250MiB is downloaded from each of them, resulting in a total download of 11 X 250MiB = 2.75GiB +amount of information. More general parameters are provided below. The benefits are substantial +when the repair is carried out for a rack that stores information on the order of +Terabytes. + + +-------------+---------------------------------------------------------+ + | plugin | total amount of disk IO | + +=============+=========================================================+ + |jerasure,isa | :math:`k S` | + +-------------+---------------------------------------------------------+ + | clay | :math:`\frac{d S}{d - k + 1} = \frac{(k + m - 1) S}{m}` | + +-------------+---------------------------------------------------------+ + +where *S* is the amount of data stored on a single OSD undergoing repair. In the table above, we have +used the largest possible value of *d* as this will result in the smallest amount of data download needed +to achieve recovery from an OSD failure. + +Erasure-code profile examples +============================= + +An example configuration that can be used to observe reduced bandwidth usage: + +.. prompt:: bash $ + + ceph osd erasure-code-profile set CLAYprofile \ + plugin=clay \ + k=4 m=2 d=5 \ + crush-failure-domain=host + ceph osd pool create claypool erasure CLAYprofile + + +Creating a clay profile +======================= + +To create a new clay code profile: + +.. prompt:: bash $ + + ceph osd erasure-code-profile set {name} \ + plugin=clay \ + k={data-chunks} \ + m={coding-chunks} \ + [d={helper-chunks}] \ + [scalar_mds={plugin-name}] \ + [technique={technique-name}] \ + [crush-failure-domain={bucket-type}] \ + [crush-device-class={device-class}] \ + [directory={directory}] \ + [--force] + +Where: + +``k={data chunks}`` + +:Description: Each object is split into **data-chunks** parts, + each of which is stored on a different OSD. + +:Type: Integer +:Required: Yes. +:Example: 4 + +``m={coding-chunks}`` + +:Description: Compute **coding chunks** for each object and store them + on different OSDs. The number of coding chunks is also + the number of OSDs that can be down without losing data. + +:Type: Integer +:Required: Yes. +:Example: 2 + +``d={helper-chunks}`` + +:Description: Number of OSDs requested to send data during recovery of + a single chunk. *d* needs to be chosen such that + k+1 <= d <= k+m-1. The larger the *d*, the better the savings. + +:Type: Integer +:Required: No. +:Default: k+m-1 + +``scalar_mds={jerasure|isa|shec}`` + +:Description: **scalar_mds** specifies the plugin that is used as a + building block in the layered construction. It can be + one of *jerasure*, *isa*, *shec* + +:Type: String +:Required: No. +:Default: jerasure + +``technique={technique}`` + +:Description: **technique** specifies the technique that will be picked + within the 'scalar_mds' plugin specified. Supported techniques + are 'reed_sol_van', 'reed_sol_r6_op', 'cauchy_orig', + 'cauchy_good', 'liber8tion' for jerasure, 'reed_sol_van', + 'cauchy' for isa and 'single', 'multiple' for shec. + +:Type: String +:Required: No. +:Default: reed_sol_van (for jerasure, isa), single (for shec) + + +``crush-root={root}`` + +:Description: The name of the crush bucket used for the first step of + the CRUSH rule. For instance **step take default**. + +:Type: String +:Required: No. +:Default: default + + +``crush-failure-domain={bucket-type}`` + +:Description: Ensure that no two chunks are in a bucket with the same + failure domain. For instance, if the failure domain is + **host** no two chunks will be stored on the same + host. It is used to create a CRUSH rule step such as **step + chooseleaf host**. + +:Type: String +:Required: No. +:Default: host + +``crush-device-class={device-class}`` + +:Description: Restrict placement to devices of a specific class (e.g., + ``ssd`` or ``hdd``), using the crush device class names + in the CRUSH map. + +:Type: String +:Required: No. +:Default: + +``directory={directory}`` + +:Description: Set the **directory** name from which the erasure code + plugin is loaded. + +:Type: String +:Required: No. +:Default: /usr/lib/ceph/erasure-code + +``--force`` + +:Description: Override an existing profile by the same name. + +:Type: String +:Required: No. + + +Notion of sub-chunks +==================== + +The Clay code is able to save in terms of disk IO, network bandwidth as it +is a vector code and it is able to view and manipulate data within a chunk +at a finer granularity termed as a sub-chunk. The number of sub-chunks within +a chunk for a Clay code is given by: + + sub-chunk count = :math:`q^{\frac{k+m}{q}}`, where :math:`q = d - k + 1` + + +During repair of an OSD, the helper information requested +from an available OSD is only a fraction of a chunk. In fact, the number +of sub-chunks within a chunk that are accessed during repair is given by: + + repair sub-chunk count = :math:`\frac{sub---chunk \: count}{q}` + +Examples +-------- + +#. For a configuration with *k=4*, *m=2*, *d=5*, the sub-chunk count is + 8 and the repair sub-chunk count is 4. Therefore, only half of a chunk is read + during repair. +#. When *k=8*, *m=4*, *d=11* the sub-chunk count is 64 and repair sub-chunk count + is 16. A quarter of a chunk is read from an available OSD for repair of a failed + chunk. + + + +How to choose a configuration given a workload +============================================== + +Only a few sub-chunks are read of all the sub-chunks within a chunk. These sub-chunks +are not necessarily stored consecutively within a chunk. For best disk IO +performance, it is helpful to read contiguous data. For this reason, it is suggested that +you choose stripe-size such that the sub-chunk size is sufficiently large. + +For a given stripe-size (that's fixed based on a workload), choose ``k``, ``m``, ``d`` such that: + + sub-chunk size = :math:`\frac{stripe-size}{k sub-chunk count}` = 4KB, 8KB, 12KB ... + +#. For large size workloads for which the stripe size is large, it is easy to choose k, m, d. + For example consider a stripe-size of size 64MB, choosing *k=16*, *m=4* and *d=19* will + result in a sub-chunk count of 1024 and a sub-chunk size of 4KB. +#. For small size workloads, *k=4*, *m=2* is a good configuration that provides both network + and disk IO benefits. + +Comparisons with LRC +==================== + +Locally Recoverable Codes (LRC) are also designed in order to save in terms of network +bandwidth, disk IO during single OSD recovery. However, the focus in LRCs is to keep the +number of OSDs contacted during repair (d) to be minimal, but this comes at the cost of storage overhead. +The *clay* code has a storage overhead m/k. In the case of an *lrc*, it stores (k+m)/d parities in +addition to the ``m`` parities resulting in a storage overhead (m+(k+m)/d)/k. Both *clay* and *lrc* +can recover from the failure of any ``m`` OSDs. + + +-----------------+----------------------------------+----------------------------------+ + | Parameters | disk IO, storage overhead (LRC) | disk IO, storage overhead (CLAY) | + +=================+================+=================+==================================+ + | (k=10, m=4) | 7 * S, 0.6 (d=7) | 3.25 * S, 0.4 (d=13) | + +-----------------+----------------------------------+----------------------------------+ + | (k=16, m=4) | 4 * S, 0.5625 (d=4) | 4.75 * S, 0.25 (d=19) | + +-----------------+----------------------------------+----------------------------------+ + + +where ``S`` is the amount of data stored of single OSD being recovered. |