Fix some bugs when testing opensds ansible

[stor4nfv.git] / src / ceph / doc / rados / operations / crush-map-edits.rst

Manually editing a CRUSH Map
============================

.. note:: Manually editing the CRUSH map is considered an advanced
          administrator operation.  All CRUSH changes that are
          necessary for the overwhelming majority of installations are
          possible via the standard ceph CLI and do not require manual
          CRUSH map edits.  If you have identified a use case where
          manual edits *are* necessary, consider contacting the Ceph
          developers so that future versions of Ceph can make this
          unnecessary.

To edit an existing CRUSH map:

#. `Get the CRUSH map`_.
#. `Decompile`_ the CRUSH map.
#. Edit at least one of `Devices`_, `Buckets`_ and `Rules`_.
#. `Recompile`_ the CRUSH map.
#. `Set the CRUSH map`_.

To activate CRUSH map rules for a specific pool, identify the common ruleset
number for those rules and specify that ruleset number for the pool. See `Set
Pool Values`_ for details.

.. _Get the CRUSH map: #getcrushmap
.. _Decompile: #decompilecrushmap
.. _Devices: #crushmapdevices
.. _Buckets: #crushmapbuckets
.. _Rules: #crushmaprules
.. _Recompile: #compilecrushmap
.. _Set the CRUSH map: #setcrushmap
.. _Set Pool Values: ../pools#setpoolvalues

.. _getcrushmap:

Get a CRUSH Map
---------------

To get the CRUSH map for your cluster, execute the following::

        ceph osd getcrushmap -o {compiled-crushmap-filename}

Ceph will output (-o) a compiled CRUSH map to the filename you specified. Since
the CRUSH map is in a compiled form, you must decompile it first before you can
edit it.

.. _decompilecrushmap:

Decompile a CRUSH Map
---------------------

To decompile a CRUSH map, execute the following::

        crushtool -d {compiled-crushmap-filename} -o {decompiled-crushmap-filename}


Sections
--------

There are six main sections to a CRUSH Map.

#. **tunables:** The preamble at the top of the map described any *tunables*
   for CRUSH behavior that vary from the historical/legacy CRUSH behavior. These
   correct for old bugs, optimizations, or other changes in behavior that have
   been made over the years to improve CRUSH's behavior.

#. **devices:** Devices are individual ``ceph-osd`` daemons that can
   store data.

#. **types**: Bucket ``types`` define the types of buckets used in
   your CRUSH hierarchy. Buckets consist of a hierarchical aggregation
   of storage locations (e.g., rows, racks, chassis, hosts, etc.) and
   their assigned weights.

#. **buckets:** Once you define bucket types, you must define each node
   in the hierarchy, its type, and which devices or other nodes it
   containes.

#. **rules:** Rules define policy about how data is distributed across
   devices in the hierarchy.

#. **choose_args:** Choose_args are alternative weights associated with
   the hierarchy that have been adjusted to optimize data placement.  A single
   choose_args map can be used for the entire cluster, or one can be
   created for each individual pool.


.. _crushmapdevices:

CRUSH Map Devices
-----------------

Devices are individual ``ceph-osd`` daemons that can store data.  You
will normally have one defined here for each OSD daemon in your
cluster.  Devices are identified by an id (a non-negative integer) and
a name, normally ``osd.N`` where ``N`` is the device id.

Devices may also have a *device class* associated with them (e.g.,
``hdd`` or ``ssd``), allowing them to be conveniently targetted by a
crush rule.

::

        # devices
        device {num} {osd.name} [class {class}]

For example::

        # devices
        device 0 osd.0 class ssd
        device 1 osd.1 class hdd
        device 2 osd.2
        device 3 osd.3

In most cases, each device maps to a single ``ceph-osd`` daemon.  This
is normally a single storage device, a pair of devices (for example,
one for data and one for a journal or metadata), or in some cases a
small RAID device.





CRUSH Map Bucket Types
----------------------

The second list in the CRUSH map defines 'bucket' types. Buckets facilitate
a hierarchy of nodes and leaves. Node (or non-leaf) buckets typically represent
physical locations in a hierarchy. Nodes aggregate other nodes or leaves.
Leaf buckets represent ``ceph-osd`` daemons and their corresponding storage
media.

.. tip:: The term "bucket" used in the context of CRUSH means a node in
   the hierarchy, i.e. a location or a piece of physical hardware. It
   is a different concept from the term "bucket" when used in the
   context of RADOS Gateway APIs.

To add a bucket type to the CRUSH map, create a new line under your list of
bucket types. Enter ``type`` followed by a unique numeric ID and a bucket name.
By convention, there is one leaf bucket and it is ``type 0``;  however, you may
give it any name you like (e.g., osd, disk, drive, storage, etc.)::

        #types
        type {num} {bucket-name}

For example::

        # types
        type 0 osd
        type 1 host
        type 2 chassis
        type 3 rack
        type 4 row
        type 5 pdu
        type 6 pod
        type 7 room
        type 8 datacenter
        type 9 region
        type 10 root



.. _crushmapbuckets:

CRUSH Map Bucket Hierarchy
--------------------------

The CRUSH algorithm distributes data objects among storage devices according
to a per-device weight value, approximating a uniform probability distribution.
CRUSH distributes objects and their replicas according to the hierarchical
cluster map you define. Your CRUSH map represents the available storage
devices and the logical elements that contain them.

To map placement groups to OSDs across failure domains, a CRUSH map defines a
hierarchical list of bucket types (i.e., under ``#types`` in the generated CRUSH
map). The purpose of creating a bucket hierarchy is to segregate the
leaf nodes by their failure domains, such as hosts, chassis, racks, power
distribution units, pods, rows, rooms, and data centers. With the exception of
the leaf nodes representing OSDs, the rest of the hierarchy is arbitrary, and
you may define it according to your own needs.

We recommend adapting your CRUSH map to your firms's hardware naming conventions
and using instances names that reflect the physical hardware. Your naming
practice can make it easier to administer the cluster and troubleshoot
problems when an OSD and/or other hardware malfunctions and the administrator
need access to physical hardware.

In the following example, the bucket hierarchy has a leaf bucket named ``osd``,
and two node buckets named ``host`` and ``rack`` respectively.

.. ditaa::
                           +-----------+
                           | {o}rack   |
                           |   Bucket  |
                           +-----+-----+
                                 |
                 +---------------+---------------+
                 |                               |
           +-----+-----+                   +-----+-----+
           | {o}host   |                   | {o}host   |
           |   Bucket  |                   |   Bucket  |
           +-----+-----+                   +-----+-----+
                 |                               |
         +-------+-------+               +-------+-------+
         |               |               |               |
   +-----+-----+   +-----+-----+   +-----+-----+   +-----+-----+
   |    osd    |   |    osd    |   |    osd    |   |    osd    |
   |   Bucket  |   |   Bucket  |   |   Bucket  |   |   Bucket  |
   +-----------+   +-----------+   +-----------+   +-----------+

.. note:: The higher numbered ``rack`` bucket type aggregates the lower
   numbered ``host`` bucket type.

Since leaf nodes reflect storage devices declared under the ``#devices`` list
at the beginning of the CRUSH map, you do not need to declare them as bucket
instances. The second lowest bucket type in your hierarchy usually aggregates
the devices (i.e., it's usually the computer containing the storage media, and
uses whatever term you prefer to describe it, such as  "node", "computer",
"server," "host", "machine", etc.). In high density environments, it is
increasingly common to see multiple hosts/nodes per chassis. You should account
for chassis failure too--e.g., the need to pull a chassis if a node fails may
result in bringing down numerous hosts/nodes and their OSDs.

When declaring a bucket instance, you must specify its type, give it a unique
name (string), assign it a unique ID expressed as a negative integer (optional),
specify a weight relative to the total capacity/capability of its item(s),
specify the bucket algorithm (usually ``straw``), and the hash (usually ``0``,
reflecting hash algorithm ``rjenkins1``). A bucket may have one or more items.
The items may consist of node buckets or leaves. Items may have a weight that
reflects the relative weight of the item.

You may declare a node bucket with the following syntax::

        [bucket-type] [bucket-name] {
                id [a unique negative numeric ID]
                weight [the relative capacity/capability of the item(s)]
                alg [the bucket type: uniform | list | tree | straw ]
                hash [the hash type: 0 by default]
                item [item-name] weight [weight]
        }

For example, using the diagram above, we would define two host buckets
and one rack bucket. The OSDs are declared as items within the host buckets::

        host node1 {
                id -1
                alg straw
                hash 0
                item osd.0 weight 1.00
                item osd.1 weight 1.00
        }

        host node2 {
                id -2
                alg straw
                hash 0
                item osd.2 weight 1.00
                item osd.3 weight 1.00
        }

        rack rack1 {
                id -3
                alg straw
                hash 0
                item node1 weight 2.00
                item node2 weight 2.00
        }

.. note:: In the foregoing example, note that the rack bucket does not contain
   any OSDs. Rather it contains lower level host buckets, and includes the
   sum total of their weight in the item entry.

.. topic:: Bucket Types

   Ceph supports four bucket types, each representing a tradeoff between
   performance and reorganization efficiency. If you are unsure of which bucket
   type to use, we recommend using a ``straw`` bucket.  For a detailed
   discussion of bucket types, refer to
   `CRUSH - Controlled, Scalable, Decentralized Placement of Replicated Data`_,
   and more specifically to **Section 3.4**. The bucket types are:

        #. **Uniform:** Uniform buckets aggregate devices with **exactly** the same
           weight. For example, when firms commission or decommission hardware, they
           typically do so with many machines that have exactly the same physical
           configuration (e.g., bulk purchases). When storage devices have exactly
           the same weight, you may use the ``uniform`` bucket type, which allows
           CRUSH to map replicas into uniform buckets in constant time. With
           non-uniform weights, you should use another bucket algorithm.

        #. **List**: List buckets aggregate their content as linked lists. Based on
           the :abbr:`RUSH (Replication Under Scalable Hashing)` :sub:`P` algorithm,
           a list is a natural and intuitive choice for an **expanding cluster**:
           either an object is relocated to the newest device with some appropriate
           probability, or it remains on the older devices as before. The result is
           optimal data migration when items are added to the bucket. Items removed
           from the middle or tail of the list, however, can result in a significant
           amount of unnecessary movement, making list buckets most suitable for
           circumstances in which they **never (or very rarely) shrink**.

        #. **Tree**: Tree buckets use a binary search tree. They are more efficient
           than list buckets when a bucket contains a larger set of items. Based on
           the :abbr:`RUSH (Replication Under Scalable Hashing)` :sub:`R` algorithm,
           tree buckets reduce the placement time to O(log :sub:`n`), making them
           suitable for managing much larger sets of devices or nested buckets.

        #. **Straw:** List and Tree buckets use a divide and conquer strategy
           in a way that either gives certain items precedence (e.g., those
           at the beginning of a list) or obviates the need to consider entire
           subtrees of items at all. That improves the performance of the replica
           placement process, but can also introduce suboptimal reorganization
           behavior when the contents of a bucket change due an addition, removal,
           or re-weighting of an item. The straw bucket type allows all items to
           fairly “compete” against each other for replica placement through a
           process analogous to a draw of straws.

.. topic:: Hash

   Each bucket uses a hash algorithm. Currently, Ceph supports ``rjenkins1``.
   Enter ``0`` as your hash setting to select ``rjenkins1``.


.. _weightingbucketitems:

.. topic:: Weighting Bucket Items

   Ceph expresses bucket weights as doubles, which allows for fine
   weighting. A weight is the relative difference between device capacities. We
   recommend using ``1.00`` as the relative weight for a 1TB storage device.
   In such a scenario, a weight of ``0.5`` would represent approximately 500GB,
   and a weight of ``3.00`` would represent approximately 3TB. Higher level
   buckets have a weight that is the sum total of the leaf items aggregated by
   the bucket.

   A bucket item weight is one dimensional, but you may also calculate your
   item weights to reflect the performance of the storage drive. For example,
   if you have many 1TB drives where some have relatively low data transfer
   rate and the others have a relatively high data transfer rate, you may
   weight them differently, even though they have the same capacity (e.g.,
   a weight of 0.80 for the first set of drives with lower total throughput,
   and 1.20 for the second set of drives with higher total throughput).


.. _crushmaprules:

CRUSH Map Rules
---------------

CRUSH maps support the notion of 'CRUSH rules', which are the rules that
determine data placement for a pool. For large clusters, you will likely create
many pools where each pool may have its own CRUSH ruleset and rules. The default
CRUSH map has a rule for each pool, and one ruleset assigned to each of the
default pools.

.. note:: In most cases, you will not need to modify the default rules. When
   you create a new pool, its default ruleset is ``0``.


CRUSH rules define placement and replication strategies or distribution policies
that allow you to specify exactly how CRUSH places object replicas. For
example, you might create a rule selecting a pair of targets for 2-way
mirroring, another rule for selecting three targets in two different data
centers for 3-way mirroring, and yet another rule for erasure coding over six
storage devices. For a detailed discussion of CRUSH rules, refer to
`CRUSH - Controlled, Scalable, Decentralized Placement of Replicated Data`_,
and more specifically to **Section 3.2**.

A rule takes the following form::

        rule <rulename> {

                ruleset <ruleset>
                type [ replicated | erasure ]
                min_size <min-size>
                max_size <max-size>
                step take <bucket-name> [class <device-class>]
                step [choose|chooseleaf] [firstn|indep] <N> <bucket-type>
                step emit
        }


``ruleset``

:Description: A means of classifying a rule as belonging to a set of rules.
              Activated by `setting the ruleset in a pool`_.

:Purpose: A component of the rule mask.
:Type: Integer
:Required: Yes
:Default: 0

.. _setting the ruleset in a pool: ../pools#setpoolvalues


``type``

:Description: Describes a rule for either a storage drive (replicated)
              or a RAID.

:Purpose: A component of the rule mask.
:Type: String
:Required: Yes
:Default: ``replicated``
:Valid Values: Currently only ``replicated`` and ``erasure``

``min_size``

:Description: If a pool makes fewer replicas than this number, CRUSH will
              **NOT** select this rule.

:Type: Integer
:Purpose: A component of the rule mask.
:Required: Yes
:Default: ``1``

``max_size``

:Description: If a pool makes more replicas than this number, CRUSH will
              **NOT** select this rule.

:Type: Integer
:Purpose: A component of the rule mask.
:Required: Yes
:Default: 10


``step take <bucket-name> [class <device-class>]``

:Description: Takes a bucket name, and begins iterating down the tree.
              If the ``device-class`` is specified, it must match
              a class previously used when defining a device. All
              devices that do not belong to the class are excluded.
:Purpose: A component of the rule.
:Required: Yes
:Example: ``step take data``


``step choose firstn {num} type {bucket-type}``

:Description: Selects the number of buckets of the given type. The number is
              usually the number of replicas in the pool (i.e., pool size).

              - If ``{num} == 0``, choose ``pool-num-replicas`` buckets (all available).
              - If ``{num} > 0 && < pool-num-replicas``, choose that many buckets.
              - If ``{num} < 0``, it means ``pool-num-replicas - {num}``.

:Purpose: A component of the rule.
:Prerequisite: Follows ``step take`` or ``step choose``.
:Example: ``step choose firstn 1 type row``


``step chooseleaf firstn {num} type {bucket-type}``

:Description: Selects a set of buckets of ``{bucket-type}`` and chooses a leaf
              node from the subtree of each bucket in the set of buckets. The
              number of buckets in the set is usually the number of replicas in
              the pool (i.e., pool size).

              - If ``{num} == 0``, choose ``pool-num-replicas`` buckets (all available).
              - If ``{num} > 0 && < pool-num-replicas``, choose that many buckets.
              - If ``{num} < 0``, it means ``pool-num-replicas - {num}``.

:Purpose: A component of the rule. Usage removes the need to select a device using two steps.
:Prerequisite: Follows ``step take`` or ``step choose``.
:Example: ``step chooseleaf firstn 0 type row``



``step emit``

:Description: Outputs the current value and empties the stack. Typically used
              at the end of a rule, but may also be used to pick from different
              trees in the same rule.

:Purpose: A component of the rule.
:Prerequisite: Follows ``step choose``.
:Example: ``step emit``

.. important:: To activate one or more rules with a common ruleset number to a
   pool, set the ruleset number of the pool.


Placing Different Pools on Different OSDS:
==========================================

Suppose you want to have most pools default to OSDs backed by large hard drives,
but have some pools mapped to OSDs backed by fast solid-state drives (SSDs).
It's possible to have multiple independent CRUSH hierarchies within the same
CRUSH map. Define two hierarchies with two different root nodes--one for hard
disks (e.g., "root platter") and one for SSDs (e.g., "root ssd") as shown
below::

  device 0 osd.0
  device 1 osd.1
  device 2 osd.2
  device 3 osd.3
  device 4 osd.4
  device 5 osd.5
  device 6 osd.6
  device 7 osd.7

        host ceph-osd-ssd-server-1 {
                id -1
                alg straw
                hash 0
                item osd.0 weight 1.00
                item osd.1 weight 1.00
        }

        host ceph-osd-ssd-server-2 {
                id -2
                alg straw
                hash 0
                item osd.2 weight 1.00
                item osd.3 weight 1.00
        }

        host ceph-osd-platter-server-1 {
                id -3
                alg straw
                hash 0
                item osd.4 weight 1.00
                item osd.5 weight 1.00
        }

        host ceph-osd-platter-server-2 {
                id -4
                alg straw
                hash 0
                item osd.6 weight 1.00
                item osd.7 weight 1.00
        }

        root platter {
                id -5
                alg straw
                hash 0
                item ceph-osd-platter-server-1 weight 2.00
                item ceph-osd-platter-server-2 weight 2.00
        }

        root ssd {
                id -6
                alg straw
                hash 0
                item ceph-osd-ssd-server-1 weight 2.00
                item ceph-osd-ssd-server-2 weight 2.00
        }

        rule data {
                ruleset 0
                type replicated
                min_size 2
                max_size 2
                step take platter
                step chooseleaf firstn 0 type host
                step emit
        }

        rule metadata {
                ruleset 1
                type replicated
                min_size 0
                max_size 10
                step take platter
                step chooseleaf firstn 0 type host
                step emit
        }

        rule rbd {
                ruleset 2
                type replicated
                min_size 0
                max_size 10
                step take platter
                step chooseleaf firstn 0 type host
                step emit
        }

        rule platter {
                ruleset 3
                type replicated
                min_size 0
                max_size 10
                step take platter
                step chooseleaf firstn 0 type host
                step emit
        }

        rule ssd {
                ruleset 4
                type replicated
                min_size 0
                max_size 4
                step take ssd
                step chooseleaf firstn 0 type host
                step emit
        }

        rule ssd-primary {
                ruleset 5
                type replicated
                min_size 5
                max_size 10
                step take ssd
                step chooseleaf firstn 1 type host
                step emit
                step take platter
                step chooseleaf firstn -1 type host
                step emit
        }

You can then set a pool to use the SSD rule by::

  ceph osd pool set <poolname> crush_ruleset 4

Similarly, using the ``ssd-primary`` rule will cause each placement group in the
pool to be placed with an SSD as the primary and platters as the replicas.


Tuning CRUSH, the hard way
--------------------------

If you can ensure that all clients are running recent code, you can
adjust the tunables by extracting the CRUSH map, modifying the values,
and reinjecting it into the cluster.

* Extract the latest CRUSH map::

        ceph osd getcrushmap -o /tmp/crush

* Adjust tunables.  These values appear to offer the best behavior
  for both large and small clusters we tested with.  You will need to
  additionally specify the ``--enable-unsafe-tunables`` argument to
  ``crushtool`` for this to work.  Please use this option with
  extreme care.::

        crushtool -i /tmp/crush --set-choose-local-tries 0 --set-choose-local-fallback-tries 0 --set-choose-total-tries 50 -o /tmp/crush.new

* Reinject modified map::

        ceph osd setcrushmap -i /tmp/crush.new

Legacy values
-------------

For reference, the legacy values for the CRUSH tunables can be set
with::

   crushtool -i /tmp/crush --set-choose-local-tries 2 --set-choose-local-fallback-tries 5 --set-choose-total-tries 19 --set-chooseleaf-descend-once 0 --set-chooseleaf-vary-r 0 -o /tmp/crush.legacy

Again, the special ``--enable-unsafe-tunables`` option is required.
Further, as noted above, be careful running old versions of the
``ceph-osd`` daemon after reverting to legacy values as the feature
bit is not perfectly enforced.