crushtool – CRUSH map manipulation tool¶
Synopsis¶
Description¶
crushtool is a utility that lets you create, compile, decompile and test CRUSH map files.
CRUSH is a pseudo-random data distribution algorithm that efficiently maps input values (which, in the context of Ceph, correspond to Placement Groups) across a heterogeneous, hierarchically structured device map. The algorithm was originally described in detail in the following paper (although it has evolved some since then):
http://www.ssrc.ucsc.edu/Papers/weil-sc06.pdf
The tool has four modes of operation.
- --compile|-c map.txt¶
will compile a plaintext map.txt into a binary map file.
- --decompile|-d map¶
will take the compiled map and decompile it into a plaintext source file, suitable for editing.
- --build --num_osds {num-osds} layer1 ...¶
will create map with the given layer structure. See below for a detailed explanation.
- --test¶
will perform a dry run of a CRUSH mapping for a range of input values
[--min-x,--max-x]
(default[0,1023]
) which can be thought of as simulated Placement Groups. See below for a more detailed explanation.
Unlike other Ceph tools, crushtool does not accept generic options such as –debug-crush from the command line. They can, however, be provided via the CEPH_ARGS environment variable. For instance, to silence all output from the CRUSH subsystem:
CEPH_ARGS="--debug-crush 0" crushtool ...
Running tests with –test¶
The test mode will use the input crush map ( as specified with -i map ) and perform a dry run of CRUSH mapping or random placement (if –simulate is set ). On completion, two kinds of reports can be created. 1) The –show-… option outputs human readable information on stderr. 2) The –output-csv option creates CSV files that are documented by the –help-output option.
Note: Each Placement Group (PG) has an integer ID which can be obtained
from ceph pg dump
(for example PG 2.2f means pool id 2, PG id 32).
The pool and PG IDs are combined by a function to get a value which is
given to CRUSH to map it to OSDs. crushtool does not know about PGs or
pools; it only runs simulations by mapping values in the range
[--min-x,--max-x]
.
- --show-statistics¶
Displays a summary of the distribution. For instance:
rule 1 (metadata) num_rep 5 result size == 5: 1024/1024
shows that rule 1 which is named metadata successfully mapped 1024 values to result size == 5 devices when trying to map them to num_rep 5 replicas. When it fails to provide the required mapping, presumably because the number of tries must be increased, a breakdown of the failures is displayed. For instance:
rule 1 (metadata) num_rep 10 result size == 8: 4/1024 rule 1 (metadata) num_rep 10 result size == 9: 93/1024 rule 1 (metadata) num_rep 10 result size == 10: 927/1024
shows that although num_rep 10 replicas were required, 4 out of 1024 values ( 4/1024 ) were mapped to result size == 8 devices only.
- --show-mappings¶
Displays the mapping of each value in the range
[--min-x,--max-x]
. For instance:CRUSH rule 1 x 24 [11,6]
shows that value 24 is mapped to devices [11,6] by rule 1.
One of the following is required when using the
--show-mappings
option:--num-rep
both
--min-rep
and--max-rep
--num-rep
stands for “number of replicas, indicates the number of replicas in a pool, and is used to specify an exact number of replicas (for example--num-rep 5
).--min-rep
and--max-rep
are used together to specify a range of replicas (for example,--min-rep 1 --max-rep 10
).
- --show-bad-mappings¶
Displays which value failed to be mapped to the required number of devices. For instance:
bad mapping rule 1 x 781 num_rep 7 result [8,10,2,11,6,9]
shows that when rule 1 was required to map 7 devices, it could map only six : [8,10,2,11,6,9].
- --show-utilization¶
Displays the expected and actual utilization for each device, for each number of replicas. For instance:
device 0: stored : 951 expected : 853.333 device 1: stored : 963 expected : 853.333 ...
shows that device 0 stored 951 values and was expected to store 853. Implies –show-statistics.
- --show-utilization-all¶
Displays the same as –show-utilization but does not suppress output when the weight of a device is zero. Implies –show-statistics.
- --show-choose-tries¶
Displays how many attempts were needed to find a device mapping. For instance:
0: 95224 1: 3745 2: 2225 ..
shows that 95224 mappings succeeded without retries, 3745 mappings succeeded with one attempts, etc. There are as many rows as the value of the –set-choose-total-tries option.
- --output-csv¶
Creates CSV files (in the current directory) containing information documented by –help-output. The files are named after the rule used when collecting the statistics. For instance, if the rule : ‘metadata’ is used, the CSV files will be:
metadata-absolute_weights.csv metadata-device_utilization.csv ...
The first line of the file shortly explains the column layout. For instance:
metadata-absolute_weights.csv Device ID, Absolute Weight 0,1 ...
- --output-name NAME¶
Prepend NAME to the file names generated when –output-csv is specified. For instance –output-name FOO will create files:
FOO-metadata-absolute_weights.csv FOO-metadata-device_utilization.csv ...
The –set-… options can be used to modify the tunables of the input crush map. The input crush map is modified in memory. For example:
$ crushtool -i mymap --test --show-bad-mappings
bad mapping rule 1 x 781 num_rep 7 result [8,10,2,11,6,9]
could be fixed by increasing the choose-total-tries as follows:
- $ crushtool -i mymap –test
–show-bad-mappings –set-choose-total-tries 500
Building a map with –build¶
The build mode will generate hierarchical maps. The first argument specifies the number of devices (leaves) in the CRUSH hierarchy. Each layer describes how the layer (or devices) preceding it should be grouped.
Each layer consists of:
bucket ( uniform | list | tree | straw | straw2 ) size
The bucket is the type of the buckets in the layer (e.g. “rack”). Each bucket name will be built by appending a unique number to the bucket string (e.g. “rack0”, “rack1”…).
The second component is the type of bucket: straw should be used most of the time.
The third component is the maximum size of the bucket. A size of zero means a bucket of infinite capacity.
Example¶
Suppose we have two rows with two racks each and 20 nodes per rack. Suppose each node contains 4 storage devices for Ceph OSD Daemons. This configuration allows us to deploy 320 Ceph OSD Daemons. Lets assume a 42U rack with 2U nodes, leaving an extra 2U for a rack switch.
To reflect our hierarchy of devices, nodes, racks and rows, we would execute the following:
$ crushtool -o crushmap --build --num_osds 320 \
node straw 4 \
rack straw 20 \
row straw 2 \
root straw 0
# id weight type name reweight
-87 320 root root
-85 160 row row0
-81 80 rack rack0
-1 4 node node0
0 1 osd.0 1
1 1 osd.1 1
2 1 osd.2 1
3 1 osd.3 1
-2 4 node node1
4 1 osd.4 1
5 1 osd.5 1
...
CRUSH rules are created so the generated crushmap can be tested. They are the same rules as the ones created by default when creating a new Ceph cluster. They can be further edited with:
# decompile
crushtool -d crushmap -o map.txt
# edit
emacs map.txt
# recompile
crushtool -c map.txt -o crushmap
Reclassify¶
The reclassify function allows users to transition from older maps that maintain parallel hierarchies for OSDs of different types to a modern CRUSH map that makes use of the device class feature. For more information, see https://docs.ceph.com/en/latest/rados/operations/crush-map-edits/#migrating-from-a-legacy-ssd-rule-to-device-classes.
Example output from –test¶
See https://github.com/ceph/ceph/blob/master/src/test/cli/crushtool/set-choose.t
for sample crushtool --test
commands and output produced thereby.
Availability¶
crushtool is part of Ceph, a massively scalable, open-source, distributed storage system. Please refer to the Ceph documentation at http://ceph.com/docs for more information.
See also¶
ceph(8), osdmaptool(8),