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[DOCS] Add 8.2.1 release notes #86919

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[DOCS] Add 8.2.1 release notes #86919

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[DOCS] Add 8.2.1 release notes
pquentin May 19, 2022
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Add notable-breaking-changes tag
May 19, 2022
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May 19, 2022
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pquentin May 19, 2022
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11 changes: 6 additions & 5 deletions docs/reference/migration/migrate_8_2.asciidoc
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Expand Up @@ -9,14 +9,15 @@ your application to {es} 8.2.

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

[discrete]
[[breaking-changes-8.2]]
=== Breaking changes
coming::[8.2.1-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 for 8.2.0.
There are no breaking changes in {es} 8.2.

// end::notable-breaking-changes[]
// 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-8.2.1>>
* <<release-notes-8.2.0>>
* <<release-notes-8.1.3>>
* <<release-notes-8.1.2>>
Expand All @@ -21,6 +22,7 @@ This section summarizes the changes in each release.

--

include::release-notes/8.2.1.asciidoc[]
include::release-notes/8.2.0.asciidoc[]
include::release-notes/8.1.3.asciidoc[]
include::release-notes/8.1.2.asciidoc[]
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70 changes: 70 additions & 0 deletions docs/reference/release-notes/8.2.1.asciidoc
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@@ -0,0 +1,70 @@
[[release-notes-8.2.1]]
== {es} version 8.2.1

coming[8.2.1]

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

[[bug-8.2.1]]
[float]
=== Bug fixes

Aggregations::
* Fix `AdaptingAggregator` `toString` method {es-pull}86042[#86042]
* Less complexity in after-key parsing for unmapped fields {es-pull}86359[#86359] (issue: {es-issue}85928[#85928])

Authentication::
* Ensure authentication is wire compatible when setting user {es-pull}86741[#86741] (issue: {es-issue}86716[#86716])

Cluster Coordination::
* Avoid breaking add/clear voting exclusions {es-pull}86657[#86657]

Geo::
* Fix bounded hexagonal grids when they contain the bin on one of the poles {es-pull}86460[#86460]
* Fix mvt polygon orientation {es-pull}86555[#86555] (issue: {es-issue}86560[#86560])

ILM+SLM::
* Fix `max_primary_shard_size` resize factor math {es-pull}86897[#86897]
* Reroute after migrating to data tiers routing {es-pull}86574[#86574] (issue: {es-issue}86572[#86572])

Infra/Core::
* Fix `assertDefaultThreadContext` enumerating allowed headers {es-pull}86262[#86262]
* Forward port MDP deprecation info API {es-pull}86103[#86103]
* Make data directories work with symlinks again {es-pull}85878[#85878] (issue: {es-issue}85701[#85701])
* Set autoexpand replicas on Fleet actions data stream {es-pull}85511[#85511]
* Do not autocreate alias for non-primary system indices {es-pull}85977[#85977] (issue: {es-issue}85072[#85072])

Ingest::
* Don't download geoip databases if geoip system index is blocked {es-pull}86842[#86842]
* Fix NPE when using object field as match field for enrich policy {es-pull}86089[#86089] (issue: {es-issue}86058[#86058])
* Handle `.geoip_databases` being an alias or a concrete index {es-pull}85792[#85792] (issue: {es-issue}85756[#85756])

Machine Learning::
* Adjust memory overhead for `PyTorch` models {es-pull}86416[#86416]
* Fix `max_model_memory_limit` reported by `_ml/info` when autoscaling is enabled {es-pull}86660[#86660]
* Improve reliability of job stats in larger clusters {es-pull}86305[#86305]
* Make autoscaling and task assignment use same memory staleness definition {es-pull}86632[#86632] (issue: {es-issue}86616[#86616])

Packaging::
* Fix edge case where user-defined heap settings are ignored {es-pull}86438[#86438] (issue: {es-issue}86431[#86431])

Security::
* Authentication.token now uses version from the existing authentication {es-pull}85978[#85978]

Snapshot/Restore::
* Better failure for source-only snapshots of partially/fully mounted indices {es-pull}86207[#86207]
* Check if searchable snapshots cache pre-allocation is successful in Windows {es-pull}86192[#86192] (issue: {es-issue}85725[#85725])
* Delay searchable snapshot allocation during shutdown {es-pull}86153[#86153] (issue: {es-issue}85052[#85052])
* Support generating AWS role session name in case it's not provided {es-pull}86255[#86255]

Stats::
* Correctly calculate disk usage for frozen data tier telemetry {es-pull}86580[#86580] (issue: {es-issue}86055[#86055])

[[upgrade-8.2.1]]
[float]
=== Upgrades

Packaging::
* Switch to OpenJDK and upgrade to 18.0.1 {es-pull}86554[#86554]


22 changes: 11 additions & 11 deletions docs/reference/release-notes/highlights.asciidoc
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Expand Up @@ -23,33 +23,33 @@ Other versions:
[[integrate_filtering_support_for_approximate_nearest_neighbor_search]]
=== Integrate filtering support for approximate nearest neighbor search

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
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
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 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.

[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
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[]
// end::notable-highlights[]