elasticsearch/docs/reference/snapshot-restore/apis/repo-analysis-api.asciidoc

[role="xpack"]
[[repo-analysis-api]]
=== Repository analysis API
++++
<titleabbrev>Repository analysis</titleabbrev>
++++

Analyzes a repository, reporting its performance characteristics and any
incorrect behaviour found.

////
[source,console]
----
PUT /_snapshot/my_repository
{
  "type": "fs",
  "settings": {
    "location": "my_backup_location"
  }
}
----
// TESTSETUP
////

[source,console]
----
POST /_snapshot/my_repository/_analyze?blob_count=10&max_blob_size=1mb&timeout=120s
----

[[repo-analysis-api-request]]
==== {api-request-title}

`POST /_snapshot/<repository>/_analyze`

[[repo-analysis-api-prereqs]]
==== {api-prereq-title}

* If the {es} {security-features} are enabled, you must have the `manage`
<<privileges-list-cluster,cluster privilege>> to use this API. For more
information, see <<security-privileges>>.

* If the <<operator-privileges,{operator-feature}>> is enabled, only operator
users can use this API.

[[repo-analysis-api-desc]]
==== {api-description-title}

There are a large number of third-party storage systems available, not all of
which are suitable for use as a snapshot repository by {es}. Some storage
systems behave incorrectly, or perform poorly, especially when accessed
concurrently by multiple clients as the nodes of an {es} cluster do.

The Repository analysis API performs a collection of read and write operations
on your repository which are designed to detect incorrect behaviour and to
measure the performance characteristics of your storage system.

The default values for the parameters to this API are deliberately low to
reduce the impact of running an analysis inadvertently. A realistic experiment
should set `blob_count` to at least `2000`, `max_blob_size` to at least `2gb`,
and `max_total_data_size` to at least `1tb`, and will almost certainly need to
increase the `timeout` to allow time for the process to complete successfully.
You should run the analysis on a multi-node cluster of a similar size to your
production cluster so that it can detect any problems that only arise when the
repository is accessed by many nodes at once.

If the analysis is successful this API returns details of the testing process,
optionally including how long each operation took. You can use this information
to determine the performance of your storage system. If any operation fails or
returns an incorrect result, this API returns an error. If the API returns an
error then it may not have removed all the data it wrote to the repository. The
error will indicate the location of any leftover data, and this path is also
recorded in the {es} logs. You should verify yourself that this location has
been cleaned up correctly. If there is still leftover data at the specified
location then you should manually remove it.

If the connection from your client to {es} is closed while the client is
waiting for the result of the analysis then the test is cancelled. Some clients
are configured to close their connection if no response is received within a
certain timeout. An analysis takes a long time to complete so you may need to
relax any such client-side timeouts. On cancellation the analysis attempts to
clean up the data it was writing, but it may not be able to remove it all. The
path to the leftover data is recorded in the {es} logs. You should verify
yourself that this location has been cleaned up correctly. If there is still
leftover data at the specified location then you should manually remove it.

If the analysis is successful then it detected no incorrect behaviour, but this
does not mean that correct behaviour is guaranteed. The analysis attempts to
detect common bugs but it certainly does not offer 100% coverage. Additionally,
it does not test the following:

- Your repository must perform durable writes. Once a blob has been written it
  must remain in place until it is deleted, even after a power loss or similar
  disaster.

- Your repository must not suffer from silent data corruption. Once a blob has
  been written its contents must remain unchanged until it is deliberately
  modified or deleted.

- Your repository must behave correctly even if connectivity from the cluster
  is disrupted. Reads and writes may fail in this case, but they must not return
  incorrect results.

IMPORTANT: An analysis writes a substantial amount of data to your repository
and then reads it back again. This consumes bandwidth on the network between
the cluster and the repository, and storage space and IO bandwidth on the
repository itself. You must ensure this load does not affect other users of
these systems. Analyses respect the repository settings
`max_snapshot_bytes_per_sec` and `max_restore_bytes_per_sec` if available, and
the cluster setting `indices.recovery.max_bytes_per_sec` which you can use to
limit the bandwidth they consume.

NOTE: This API is intended for exploratory use by humans. You should expect the
request parameters and the response format to vary in future versions.

NOTE: This API may not work correctly in a mixed-version cluster.

==== Implementation details

NOTE: This section of documentation describes how the Repository analysis API
works in this version of {es}, but you should expect the implementation to vary
between versions. The request parameters and response format depend on details
of the implementation so may also be different in newer versions.

The analysis comprises a number of blob-level tasks, as set by the `blob_count`
parameter. The blob-level tasks are distributed over the data and
master-eligible nodes in the cluster for execution.

For most blob-level tasks, the executing node first writes a blob to the
repository, and then instructs some of the other nodes in the cluster to
attempt to read the data it just wrote. The size of the blob is chosen
randomly, according to the `max_blob_size` and `max_total_data_size`
parameters. If any of these reads fails then the repository does not implement
the necessary read-after-write semantics that {es} requires.

For some blob-level tasks, the executing node will instruct some of its peers
to attempt to read the data before the writing process completes. These reads
are permitted to fail, but must not return partial data. If any read returns
partial data then the repository does not implement the necessary atomicity
semantics that {es} requires.

For some blob-level tasks, the executing node will overwrite the blob while its
peers are reading it. In this case the data read may come from either the
original or the overwritten blob, but the read operation must not return
partial data or a mix of data from the two blobs. If any of these reads returns
partial data or a mix of the two blobs then the repository does not implement
the necessary atomicity semantics that {es} requires for overwrites.

The executing node will use a variety of different methods to write the blob.
For instance, where applicable, it will use both single-part and multi-part
uploads. Similarly, the reading nodes will use a variety of different methods
to read the data back again. For instance they may read the entire blob from
start to end, or may read only a subset of the data.

[[repo-analysis-api-path-params]]
==== {api-path-parms-title}

`<repository>`::
(Required, string)
Name of the snapshot repository to test.

[[repo-analysis-api-query-params]]
==== {api-query-parms-title}

`blob_count`::
(Optional, integer) The total number of blobs to write to the repository during
the test. Defaults to `100`. For realistic experiments you should set this to
at least `2000`.

`max_blob_size`::
(Optional, <<size-units, size units>>) The maximum size of a blob to be written
during the test. Defaults to `10mb`. For realistic experiments you should set
this to at least `2gb`.

`max_total_data_size`::
(Optional, <<size-units, size units>>) An upper limit on the total size of all
the blobs written during the test. Defaults to `1gb`. For realistic experiments
you should set this to at least `1tb`.

`timeout`::
(Optional, <<time-units, time units>>) Specifies the period of time to wait for
the test to complete. If no response is received before the timeout expires,
the test is cancelled and returns an error. Defaults to `30s`.

===== Advanced query parameters

The following parameters allow additional control over the analysis, but you
will usually not need to adjust them.

`concurrency`::
(Optional, integer) The number of write operations to perform concurrently.
Defaults to `10`.

`read_node_count`::
(Optional, integer) The number of nodes on which to perform a read operation
after writing each blob.  Defaults to `10`.

`early_read_node_count`::
(Optional, integer) The number of nodes on which to perform an early read
operation while writing each blob. Defaults to `2`. Early read operations are
only rarely performed.

`rare_action_probability`::
(Optional, double) The probability of performing a rare action (an early read
or an overwrite) on each blob. Defaults to `0.02`.

`seed`::
(Optional, integer) The seed for the pseudo-random number generator used to
generate the list of operations performed during the test. To repeat the same
set of operations in multiple experiments, use the same seed in each
experiment. Note that the operations are performed concurrently so may not
always happen in the same order on each run.

`detailed`::
(Optional, boolean) Whether to return detailed results, including timing
information for every operation performed during the analysis. Defaults to
`false`, meaning to return only a summary of the analysis.

[role="child_attributes"]
[[repo-analysis-api-response-body]]
==== {api-response-body-title}

The response exposes implementation details of the analysis which may change
from version to version. The response body format is therefore not considered
stable and may be different in newer versions.

`coordinating_node`::
(object)
Identifies the node which coordinated the analysis and performed the final cleanup.
+
.Properties of `coordinating_node`
[%collapsible%open]
====
`id`::
(string)
The id of the coordinating node.

`name`::
(string)
The name of the coordinating node
====

`repository`::
(string)
The name of the repository that was the subject of the analysis.

`blob_count`::
(integer)
The number of blobs written to the repository during the test, equal to the
`?blob_count` request parameter.

`concurrency`::
(integer)
The number of write operations performed concurrently during the test, equal to
the `?concurrency` request parameter.

`read_node_count`::
(integer)
The limit on the number of nodes on which read operations were performed after
writing each blob, equal to the `?read_node_count` request parameter.

`early_read_node_count`::
(integer)
The limit on the number of nodes on which early read operations were performed
after writing each blob, equal to the `?early_read_node_count` request
parameter.

`max_blob_size`::
(string)
The limit on the size of a blob written during the test, equal to the
`?max_blob_size` parameter.

`max_blob_size_bytes`::
(long)
The limit, in bytes, on the size of a blob written during the test, equal to
the `?max_blob_size` parameter.

`max_total_data_size`::
(string)
The limit on the total size of all blob written during the test, equal to the
`?max_total_data_size` parameter.

`max_total_data_size_bytes`::
(long)
The limit, in bytes, on the total size of all blob written during the test,
equal to the `?max_total_data_size` parameter.

`seed`::
(long)
The seed for the pseudo-random number generator used to generate the operations
used during the test. Equal to the `?seed` request parameter if set.

`rare_action_probability`::
(double)
The probability of performing rare actions during the test. Equal to the
`?rare_action_probability` request parameter.

`blob_path`::
(string)
The path in the repository under which all the blobs were written during the
test.

`issues_detected`::
(list)
A list of correctness issues detected, which will be empty if the API
succeeded. Included to emphasize that a successful response does not guarantee
correct behaviour in future.

`summary`::
(object)
A collection of statistics that summarise the results of the test.
+
.Properties of `summary`
[%collapsible%open]
====
`write`::
(object)
A collection of statistics that summarise the results of the write operations
in the test.
+
.Properties of `write`
[%collapsible%open]
=====
`count`::
(integer)
The number of write operations performed in the test.

`total_size`::
(string)
The total size of all the blobs written in the test.

`total_size_bytes`::
(long)
The total size of all the blobs written in the test, in bytes.

`total_throttled`::
(string)
The total time spent waiting due to the `max_snapshot_bytes_per_sec` throttle.

`total_throttled_nanos`::
(long)
The total time spent waiting due to the `max_snapshot_bytes_per_sec` throttle,
in nanoseconds.

`total_elapsed`::
(string)
The total elapsed time spent on writing blobs in the test.

`total_elapsed_nanos`::
(long)
The total elapsed time spent on writing blobs in the test, in nanoseconds.
=====

`read`::
(object)
A collection of statistics that summarise the results of the read operations in
the test.
+
.Properties of `read`
[%collapsible%open]
=====
`count`::
(integer)
The number of read operations performed in the test.

`total_size`::
(string)
The total size of all the blobs or partial blobs read in the test.

`total_size_bytes`::
(long)
The total size of all the blobs or partial blobs read in the test, in bytes.

`total_wait`::
(string)
The total time spent waiting for the first byte of each read request to be
received.

`total_wait_nanos`::
(long)
The total time spent waiting for the first byte of each read request to be
received, in nanoseconds.

`max_wait`::
(string)
The maximum time spent waiting for the first byte of any read request to be
received.

`max_wait_nanos`::
(long)
The maximum time spent waiting for the first byte of any read request to be
received, in nanoseconds.

`total_throttled`::
(string)
The total time spent waiting due to the `max_restore_bytes_per_sec` or
`indices.recovery.max_bytes_per_sec` throttles.

`total_throttled_nanos`::
(long)
The total time spent waiting due to the `max_restore_bytes_per_sec` or
`indices.recovery.max_bytes_per_sec` throttles, in nanoseconds.

`total_elapsed`::
(string)
The total elapsed time spent on reading blobs in the test.

`total_elapsed_nanos`::
(long)
The total elapsed time spent on reading blobs in the test, in nanoseconds.
=====
====

`details`::
(array)
A description of every read and write operation performed during the test. This
is only returned if the `?detailed` request parameter is set to `true`.
+
.Properties of items within `details`
[%collapsible]
====
`blob`::
(object)
A description of the blob that was written and read.
+
.Properties of `blob`
[%collapsible%open]
=====
`name`::
(string)
The name of the blob.

`size`::
(string)
The size of the blob.

`size_bytes`::
(long)
The size of the blob in bytes.

`read_start`::
(long)
The position, in bytes, at which read operations started.

`read_end`::
(long)
The position, in bytes, at which read operations completed.

`read_early`::
(boolean)
Whether any read operations were started before the write operation completed.

`overwritten`::
(boolean)
Whether the blob was overwritten while the read operations were ongoing.
=====

`writer_node`::
(object)
Identifies the node which wrote this blob and coordinated the read operations.
+
.Properties of `writer_node`
[%collapsible%open]
=====
`id`::
(string)
The id of the writer node.

`name`::
(string)
The name of the writer node
=====

`write_elapsed`::
(string)
The elapsed time spent writing this blob.

`write_elapsed_nanos`::
(long)
The elapsed time spent writing this blob, in nanoseconds.

`overwrite_elapsed`::
(string)
The elapsed time spent overwriting this blob. Omitted if the blob was not
overwritten.

`overwrite_elapsed_nanos`::
(long)
The elapsed time spent overwriting this blob, in nanoseconds. Omitted if the
blob was not overwritten.

`write_throttled`::
(string)
The length of time spent waiting for the `max_snapshot_bytes_per_sec` throttle
while writing this blob.

`write_throttled_nanos`::
(long)
The length of time spent waiting for the `max_snapshot_bytes_per_sec` throttle
while writing this blob, in nanoseconds.

`reads`::
(array)
A description of every read operation performed on this blob.
+
.Properties of items within `reads`
[%collapsible%open]
=====
`node`::
(object)
Identifies the node which performed the read operation.
+
.Properties of `node`
[%collapsible%open]
======
`id`::
(string)
The id of the reader node.

`name`::
(string)
The name of the reader node
======

`before_write_complete`::
(boolean)
Whether the read operation may have started before the write operation was
complete. Omitted if `false`.

`found`::
(boolean)
Whether the blob was found by this read operation or not. May be `false` if the
read was started before the write completed.

`first_byte_time`::
(string)
The length of time waiting for the first byte of the read operation to be
received. Omitted if the blob was not found.

`first_byte_time_nanos`::
(long)
The length of time waiting for the first byte of the read operation to be
received, in nanoseconds. Omitted if the blob was not found.

`elapsed`::
(string)
The length of time spent reading this blob. Omitted if the blob was not found.

`elapsed_nanos`::
(long)
The length of time spent reading this blob, in nanoseconds. Omitted if the blob
was not found.

`throttled`::
(string)
The length of time spent waiting due to the `max_restore_bytes_per_sec` or
`indices.recovery.max_bytes_per_sec` throttles during the read of this blob.
Omitted if the blob was not found.

`throttled_nanos`::
(long)
The length of time spent waiting due to the `max_restore_bytes_per_sec` or
`indices.recovery.max_bytes_per_sec` throttles during the read of this blob, in
nanoseconds. Omitted if the blob was not found.

=====

====

`listing_elapsed`::
(string)
The time it took to retrieve a list of all the blobs in the container.

`listing_elapsed_nanos`::
(long)
The time it took to retrieve a list of all the blobs in the container, in
nanoseconds.

`delete_elapsed`::
(string)
The time it took to delete all the blobs in the container.

`delete_elapsed_nanos`::
(long)
The time it took to delete all the blobs in the container, in nanoseconds.