Docs: Updated the experimental annotations in the docs as follows:

* Removed the docs for `index.compound_format` and `index.compound_on_flush` - these are expert settings which should probably be removed (see https://github.com/elastic/elasticsearch/issues/10778)
* Removed the docs for `index.index_concurrency` - another expert setting
* Labelled the segments verbose output as experimental
* Marked the `compression`, `precision_threshold` and `rehash` options as experimental in the cardinality and percentile aggs
* Improved the experimental text on `significant_terms`, `execution_hint` in the terms agg, and `terminate_after` param on count and search
* Removed the experimental flag on the `geobounds` agg
* Marked the settings in the `merge` and `store` modules as experimental, rather than the modules themselves

Closes #10782
This commit is contained in:
Clinton Gormley 2015-04-26 18:49:15 +02:00
parent f1a0e2216a
commit 37ed61807f
14 changed files with 22 additions and 65 deletions

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@ -15,29 +15,6 @@ all the relevant modules settings can be provided when creating an index
There are specific index level settings that are not associated with any There are specific index level settings that are not associated with any
specific module. These include: specific module. These include:
[[index-compound-format]]`index.compound_format`::
experimental[]
Should the compound file format be used (boolean setting).
The compound format was created to reduce the number of open
file handles when using file based storage. However, by default it is set
to `false` as the non-compound format gives better performance. It is important
that OS is configured to give Elasticsearch ``enough'' file handles.
See <<file-descriptors>>.
+
Alternatively, `compound_format` can be set to a number between `0` and
`1`, where `0` means `false`, `1` means `true` and a number inbetween
represents a percentage: if the merged segment is less than this
percentage of the total index, then it is written in compound format,
otherwise it is written in non-compound format.
[[index-compound-on-flush]]`index.compound_on_flush`::
experimental[]
Should a new segment (create by indexing, not by merging) be written
in compound format or non-compound format? Defaults to `true`.
This is a dynamic setting.
`index.refresh_interval`:: `index.refresh_interval`::
A time setting controlling how often the A time setting controlling how often the
refresh operation will be executed. Defaults to `1s`. Can be set to `-1` refresh operation will be executed. Defaults to `1s`. Can be set to `-1`

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@ -1,7 +1,7 @@
[[index-modules-merge]] [[index-modules-merge]]
== Merge == Merge
experimental[] experimental[All of the settings exposed in the `merge` module are expert only and may be removed in the future]
A shard in elasticsearch is a Lucene index, and a Lucene index is broken A shard in elasticsearch is a Lucene index, and a Lucene index is broken
down into segments. Segments are internal storage elements in the index down into segments. Segments are internal storage elements in the index
@ -72,12 +72,6 @@ This policy has the following settings:
Higher values favor selecting merges that reclaim deletions. A value of Higher values favor selecting merges that reclaim deletions. A value of
`0.0` means deletions don't impact merge selection. Defaults to `2.0`. `0.0` means deletions don't impact merge selection. Defaults to `2.0`.
`index.compound_format`::
Should the index be stored in compound format or not. Defaults to `false`.
See <<index-compound-format,`index.compound_format`>> in
<<index-modules-settings>>.
For normal merging, this policy first computes a "budget" of how many For normal merging, this policy first computes a "budget" of how many
segments are allowed to be in the index. If the index is over-budget, segments are allowed to be in the index. If the index is over-budget,
then the policy sorts segments by decreasing size (proportionally considering percent then the policy sorts segments by decreasing size (proportionally considering percent

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@ -1,8 +1,6 @@
[[index-modules-store]] [[index-modules-store]]
== Store == Store
experimental[]
The store module allows you to control how index data is stored. The store module allows you to control how index data is stored.
The index can either be stored in-memory (no persistence) or on-disk The index can either be stored in-memory (no persistence) or on-disk
@ -20,6 +18,7 @@ heap space* using the "Memory" (see below) storage type. It translates
to the fact that there is no need for extra large JVM heaps (with their to the fact that there is no need for extra large JVM heaps (with their
own consequences) for storing the index in memory. own consequences) for storing the index in memory.
experimental[All of the settings exposed in the `store` module are expert only and may be removed in the future]
[float] [float]
[[file-system]] [[file-system]]

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@ -78,7 +78,7 @@ compound:: Whether the segment is stored in a compound file. When true, this
To add additional information that can be used for debugging, use the `verbose` flag. To add additional information that can be used for debugging, use the `verbose` flag.
NOTE: The format of additional verbose information is experimental and can change at any time. experimental[The format of the additional verbose information is experimental and can change at any time]
[source,js] [source,js]
-------------------------------------------------- --------------------------------------------------

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@ -61,9 +61,6 @@ settings API:
`index.refresh_interval`:: `index.refresh_interval`::
The async refresh interval of a shard. The async refresh interval of a shard.
`index.index_concurrency`::
experimental[] Defaults to `8`.
`index.translog.flush_threshold_ops`:: `index.translog.flush_threshold_ops`::
When to flush based on operations. When to flush based on operations.
@ -151,14 +148,6 @@ settings API:
`index.translog.fs.type`:: `index.translog.fs.type`::
experimental[] Either `simple` or `buffered` (default). experimental[] Either `simple` or `buffered` (default).
`index.compound_format`::
experimental[] See <<index-compound-format,`index.compound_format`>> in
<<index-modules-settings>>.
`index.compound_on_flush`::
experimental[] See <<index-compound-on-flush,`index.compound_on_flush>> in
<<index-modules-settings>>.
<<index-modules-slowlog>>:: <<index-modules-slowlog>>::
All the settings for slow log. All the settings for slow log.

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@ -424,10 +424,7 @@ automatically loaded.
[float] [float]
=== Lucene Expressions Scripts === Lucene Expressions Scripts
[WARNING] experimental[The Lucene expressions module is undergoing significant development and the exposed functionality is likely to change in the future]
========================
This feature is *experimental* and subject to change in future versions.
========================
Lucene's expressions module provides a mechanism to compile a Lucene's expressions module provides a mechanism to compile a
`javascript` expression to bytecode. This allows very fast execution, `javascript` expression to bytecode. This allows very fast execution,

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@ -3,7 +3,7 @@
An aggregation that returns interesting or unusual occurrences of terms in a set. An aggregation that returns interesting or unusual occurrences of terms in a set.
experimental[] experimental[The `significant_terms` aggregation can be very heavy when run on large indices. Work is in progress to provide more lightweight sampling techniques. As a result, the API for this feature may change in non-backwards compatible ways]
.Example use cases: .Example use cases:
* Suggesting "H5N1" when users search for "bird flu" in text * Suggesting "H5N1" when users search for "bird flu" in text

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@ -613,7 +613,7 @@ this would typically be too costly in terms of RAM.
[[search-aggregations-bucket-terms-aggregation-execution-hint]] [[search-aggregations-bucket-terms-aggregation-execution-hint]]
==== Execution hint ==== Execution hint
experimental[] experimental[The automated execution optimization is experimental, so this parameter is provided temporarily as a way to override the default behaviour]
There are different mechanisms by which terms aggregations can be executed: There are different mechanisms by which terms aggregations can be executed:

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@ -23,10 +23,10 @@ match a query:
==== Precision control ==== Precision control
experimental[]
This aggregation also supports the `precision_threshold` and `rehash` options: This aggregation also supports the `precision_threshold` and `rehash` options:
experimental[The `precision_threshold` and `rehash` options are specific to the current internal implementation of the `cardinality` agg, which may change in the future]
[source,js] [source,js]
-------------------------------------------------- --------------------------------------------------
{ {
@ -42,14 +42,14 @@ This aggregation also supports the `precision_threshold` and `rehash` options:
} }
-------------------------------------------------- --------------------------------------------------
<1> experimental[] The `precision_threshold` options allows to trade memory for accuracy, and <1> The `precision_threshold` options allows to trade memory for accuracy, and
defines a unique count below which counts are expected to be close to defines a unique count below which counts are expected to be close to
accurate. Above this value, counts might become a bit more fuzzy. The maximum accurate. Above this value, counts might become a bit more fuzzy. The maximum
supported value is 40000, thresholds above this number will have the same supported value is 40000, thresholds above this number will have the same
effect as a threshold of 40000. effect as a threshold of 40000.
Default value depends on the number of parent aggregations that multiple Default value depends on the number of parent aggregations that multiple
create buckets (such as terms or histograms). create buckets (such as terms or histograms).
<2> experimental[] If you computed a hash on client-side, stored it into your documents and want <2> If you computed a hash on client-side, stored it into your documents and want
Elasticsearch to use them to compute counts using this hash function without Elasticsearch to use them to compute counts using this hash function without
rehashing values, it is possible to specify `rehash: false`. Default value is rehashing values, it is possible to specify `rehash: false`. Default value is
`true`. Please note that the hash must be indexed as a long when `rehash` is `true`. Please note that the hash must be indexed as a long when `rehash` is

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@ -1,8 +1,6 @@
[[search-aggregations-metrics-geobounds-aggregation]] [[search-aggregations-metrics-geobounds-aggregation]]
=== Geo Bounds Aggregation === Geo Bounds Aggregation
experimental[]
A metric aggregation that computes the bounding box containing all geo_point values for a field. A metric aggregation that computes the bounding box containing all geo_point values for a field.

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@ -155,7 +155,7 @@ it. It would not be the case on more skewed distributions.
[[search-aggregations-metrics-percentile-aggregation-compression]] [[search-aggregations-metrics-percentile-aggregation-compression]]
==== Compression ==== Compression
experimental[] experimental[The `compression` parameter is specific to the current internal implementation of percentiles, and may change in the future]
Approximate algorithms must balance memory utilization with estimation accuracy. Approximate algorithms must balance memory utilization with estimation accuracy.
This balance can be controlled using a `compression` parameter: This balance can be controlled using a `compression` parameter:

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@ -64,7 +64,8 @@ query.
|default_operator |The default operator to be used, can be `AND` or |default_operator |The default operator to be used, can be `AND` or
`OR`. Defaults to `OR`. `OR`. Defaults to `OR`.
|terminate_after |experimental[] The maximum count for each shard, upon |terminate_after |experimental[The API for this feature may change in the future]
The maximum count for each shard, upon
reaching which the query execution will terminate early. reaching which the query execution will terminate early.
If set, the response will have a boolean field `terminated_early` to If set, the response will have a boolean field `terminated_early` to
indicate whether the query execution has actually terminated_early. indicate whether the query execution has actually terminated_early.

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@ -77,7 +77,8 @@ And here is a sample response:
`terminate_after`:: `terminate_after`::
experimental[] The maximum number of documents to collect for each shard, experimental[The API for this feature may change in the future]
The maximum number of documents to collect for each shard,
upon reaching which the query execution will terminate early. If set, the upon reaching which the query execution will terminate early. If set, the
response will have a boolean field `terminated_early` to indicate whether response will have a boolean field `terminated_early` to indicate whether
the query execution has actually terminated_early. Defaults to no the query execution has actually terminated_early. Defaults to no

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@ -82,7 +82,8 @@ scores and return them as part of each hit.
within the specified time value and bail with the hits accumulated up to within the specified time value and bail with the hits accumulated up to
that point when expired. Defaults to no timeout. that point when expired. Defaults to no timeout.
|`terminate_after` |experimental[] The maximum number of documents to collect for |`terminate_after` |experimental[The API for this feature may change in the future]
The maximum number of documents to collect for
each shard, upon reaching which the query execution will terminate early. each shard, upon reaching which the query execution will terminate early.
If set, the response will have a boolean field `terminated_early` to If set, the response will have a boolean field `terminated_early` to
indicate whether the query execution has actually terminated_early. indicate whether the query execution has actually terminated_early.