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Update docs for v8.2.2 release #87092

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May 25, 2022
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Update docs for v8.2.2 release #87092

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63ae30b
Update docs for v8.2.2 release
May 24, 2022
b1d2e83
Bring back missing tag
May 24, 2022
4becadc
[DOCS] Adds ml-cpp PRs
lcawl May 24, 2022
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7 changes: 2 additions & 5 deletions docs/reference/migration/migrate_8_2.asciidoc
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Expand Up @@ -9,15 +9,12 @@ your application to {es} 8.2.

See also <<release-highlights>> and <<es-release-notes>>.

coming::[8.2.1-SNAPSHOT]
coming::[8.2.2-SNAPSHOT]


// NOTE: The notable-breaking-changes tagged regions are re-used in the
// Installation and Upgrade Guide
// tag::notable-breaking-changes[]
[discrete]
[[breaking-changes-8.2]]
=== Breaking changes

There are no breaking changes in {es} 8.2.

// end::notable-breaking-changes[]
2 changes: 2 additions & 0 deletions docs/reference/release-notes.asciidoc
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Expand Up @@ -6,6 +6,7 @@

This section summarizes the changes in each release.

* <<release-notes-8.2.2>>
* <<release-notes-8.2.1>>
* <<release-notes-8.2.0>>
* <<release-notes-8.1.3>>
Expand All @@ -22,6 +23,7 @@ This section summarizes the changes in each release.

--

include::release-notes/8.2.2.asciidoc[]
include::release-notes/8.2.1.asciidoc[]
include::release-notes/8.2.0.asciidoc[]
include::release-notes/8.1.3.asciidoc[]
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27 changes: 27 additions & 0 deletions docs/reference/release-notes/8.2.2.asciidoc
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@@ -0,0 +1,27 @@
[[release-notes-8.2.2]]
== {es} version 8.2.2

coming[8.2.2]

Also see <<breaking-changes-8.2,Breaking changes in 8.2>>.

[[bug-8.2.2]]
[float]
=== Bug fixes

Audit::
* Fix audit logging to consistently include port number in `origin.address` {es-pull}86732[#86732]

CCR::
* Fix CCR following a datastream with closed indices on the follower corrupting the datastream {es-pull}87076[#87076] (issue: {es-issue}87048[#87048])

Geo::
* Guard for adding null value tags to vector tiles {es-pull}87051[#87051]

Infra/Core::
* Adjust osprobe assertion for burst cpu {es-pull}86990[#86990]

Machine Learning::
* Fix ML task auditor exception early in cluster lifecycle {es-pull}87023[#87023] (issue: {es-issue}87002[#87002])


39 changes: 8 additions & 31 deletions docs/reference/release-notes/highlights.asciidoc
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Expand Up @@ -17,39 +17,16 @@ Other versions:

// The notable-highlights tag marks entries that
// should be featured in the Stack Installation and Upgrade Guide:

// tag::notable-highlights[]
[discrete]
[[integrate_filtering_support_for_approximate_nearest_neighbor_search]]
=== Integrate filtering support for approximate nearest neighbor search
// [discrete]
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I think we generally only update the "What's New" page for major releases, so the changes to this file seem incorrect.

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Yes, I agree. Highlights for 8.2.0 should not have been deleted as part of the process of generating the 8.2.2 release notes.

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@lcawl lcawl May 25, 2022 •
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I'll create a PR to re-add this info: #87135

// === Heading
//
// Description.
// end::notable-highlights[]

The {ref}/knn-search-api.html[_knn_search endpoint] now has a "filter" option
that allows to return only the nearest documents that satisfy the provided
filter.

[discrete]
[[nlp-latency-throughput-stats]]
=== NLP latency and throughput stats

New statistics are available for the NLP inference to show how quickly it is
working. The three new statistics are:

* peak_throughput_per_minute
* throughput_last_minute
* average_inference_time_ms_last_minute

The aim is to provide an indication of whether inference is currently keeping up
with requirements or the cluster needs to be scaled up to meet demand. The
statistics for the last minute give quick feedback to show the effect of scaling
the {ml} nodes.
[[integrate_filtering_support_for_approximate_nearest_neighbor_search]]
=== Integrate filtering support for approximate nearest neighbor search
_knn_search endpoint now has a "filter" option that allows to return only the nearest documents that satisfy the provided filter

[discrete]
[[random-sampler-aggregation]]
=== Random sampler aggregation

With the new random sampler aggregation, in technical preview, developers can
exponentially accelerate their aggregations for calculations, with a slight
trade off in accuracy, by randomly sampling documents in a statistically robust
manner. The random sampler aggregation can be used to accelerate any application
that utilizes aggregations for calculations.
// end::notable-highlights[]