[DOCS] Add 7.6.1. release notes (#52874)
Adds the release notes for 7.6.1.
This commit is contained in:
Yannick Welsch
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@ -6,6 +6,7 @@
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This section summarizes the changes in each release.
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* <<release-notes-7.6.1>>
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* <<release-notes-7.6.0>>
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* <<release-notes-7.5.2>>
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* <<release-notes-7.5.1>>
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@ -1,3 +1,72 @@
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[[release-notes-7.6.1]]
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== {es} version 7.6.1
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Also see <<breaking-changes-7.6,Breaking changes in 7.6>>.
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[[bug-7.6.1]]
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[float]
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=== Bug fixes
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Aggregations::
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* Decode max and min optimization more carefully {pull}52336[#52336] (issue: {issue}52220[#52220])
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* Fix a DST error in date_histogram {pull}52016[#52016] (issue: {issue}50265[#50265])
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Audit::
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* Logfile audit settings validation {pull}52537[#52537] (issues: {issue}47038[#47038], {issue}47711[#47711], {issue}52357[#52357])
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CCR::
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* Fix shard follow task cleaner under security {pull}52347[#52347] (issues: {issue}44702[#44702], {issue}51971[#51971])
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Features/cat APIs::
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* Fix NPE in RestPluginsAction {pull}52620[#52620] (issue: {issue}45321[#45321])
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Features/ILM+SLM::
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* ILM fix the init step to actually be retryable {pull}52076[#52076]
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Features/Ingest::
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* Handle errors when evaluating if conditions in processors {pull}52543[#52543] (issue: {issue}52339[#52339])
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Features/Monitoring::
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* Fix NPE in cluster state collector for monitoring {pull}52371[#52371] (issue: {issue}52317[#52317])
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Features/Stats::
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* Switch to AtomicLong for "IngestCurrent" metric to prevent negative values {pull}52581[#52581] (issues: {issue}52406[#52406], {issue}52411[#52411])
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Infra/Packaging::
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* Limit _FILE env var support to specific vars {pull}52525[#52525] (issue: {issue}52503[#52503])
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Machine Learning::
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* Don't return inflated definition when storing trained models {pull}52573[#52573]
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* Validate tree feature index is within range {pull}52460[#52460]
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Network::
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* Remove seeds dependency for remote cluster settings {pull}52796[#52796]
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Reindex::
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* Allow comma separated source indices {pull}52044[#52044] (issue: {issue}51949[#51949])
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SQL::
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* Supplement input checks on received request parameters {pull}52229[#52229]
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* Fix issue with timezone when paginating {pull}52101[#52101] (issue: {issue}51258[#51258])
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* Fix ORDER BY on aggregates and GROUPed BY fields {pull}51894[#51894] (issue: {issue}50355[#50355])
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* Fix milliseconds handling in intervals {pull}51675[#51675] (issue: {issue}41635[#41635])
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* Selecting a literal from grouped by query generates error {pull}41964[#41964] (issues: {issue}41413[#41413], {issue}41951[#41951])
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Snapshot/Restore::
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* Fix Non-Verbose Snapshot List Missing Empty Snapshots {pull}52433[#52433]
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Store::
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* Fix synchronization in ByteSizeCachingDirectory {pull}52512[#52512]
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[[upgrade-7.6.1]]
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[float]
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=== Upgrades
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Authentication::
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* Update oauth2-oidc-sdk to 7.0 {pull}52489[#52489] (issue: {issue}48409[#48409])
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[[release-notes-7.6.0]]
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== {es} version 7.6.0
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@ -79,7 +148,7 @@ Machine Learning::
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* Explain data frame analytics API {pull}49455[#49455]
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* Machine learning model inference ingest processor {pull}49052[#49052]
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* Implement accuracy metric for multi-class classification {pull}47772[#47772] (issue: {issue}48759[#48759])
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* Add feature importance values to classification and regression results (using tree
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* Add feature importance values to classification and regression results (using tree
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SHapley Additive exPlanation, or SHAP) {ml-pull}857[#857]
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Mapping::
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@ -243,24 +312,24 @@ Machine Learning::
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estimating maximum memory usage {ml-pull}781[#781]
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* Stratified fractional cross validation for regression {ml-pull}784[#784]
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* Added `geo_point` supported output for `lat_long` function records {ml-pull}809[#809], {pull}47050[#47050]
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* Use a random bag of the data to compute the loss function derivatives for each
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* Use a random bag of the data to compute the loss function derivatives for each
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new tree which is trained for both regression and classification {ml-pull}811[#811]
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* Emit `prediction_probability` field alongside prediction field in ml results {ml-pull}818[#818]
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* Reduce memory usage of {ml} native processes on Windows {ml-pull}844[#844]
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* Reduce runtime of classification and regression {ml-pull}863[#863]
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* Stop early training a classification and regression forest when the validation
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* Stop early training a classification and regression forest when the validation
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error is no longer decreasing {ml-pull}875[#875]
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* Emit `prediction_field_name` in data frame analytics results using the type
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* Emit `prediction_field_name` in data frame analytics results using the type
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provided as `prediction_field_type` parameter {ml-pull}877[#877]
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* Improve performance updating quantile estimates {ml-pull}881[#881]
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* Migrate to use Bayesian optimisation for initial hyperparameter value line
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* Migrate to use Bayesian optimisation for initial hyperparameter value line
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searches and stop early if the expected improvement is too small {ml-pull}903[#903]
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* Stop cross-validation early if the predicted test loss has a small chance of
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* Stop cross-validation early if the predicted test loss has a small chance of
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being smaller than for the best parameter values found so far {ml-pull}915[#915]
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* Optimize decision threshold for classification to maximize minimum class recall {ml-pull}926[#926]
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* Include categorization memory usage in the `model_bytes` field in
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`model_size_stats`, so that it is taken into account in node assignment
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decisions {ml-pull}927[#927] (issue:{ml-issue}724[#724])
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* Include categorization memory usage in the `model_bytes` field in
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`model_size_stats`, so that it is taken into account in node assignment
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decisions {ml-pull}927[#927] (issue: {ml-issue}724[#724])
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Mapping::
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* Add telemetry for flattened fields. {pull}48972[#48972]
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@ -483,7 +552,7 @@ Machine Learning::
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* Make data frame analytics more robust for very short-lived analyses {pull}49282[#49282] (issue: {issue}49095[#49095])
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* Fixes potential memory corruption when determining seasonality {ml-pull}852[#852]
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* Prevent `prediction_field_name` clashing with other fields in {ml} results {ml-pull}861[#861]
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* Include out-of-order as well as in-order terms in categorization reverse searches {ml-pull}950[#950] (issue:{ml-issue}949[#949])
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* Include out-of-order as well as in-order terms in categorization reverse searches {ml-pull}950[#950] (issue: {ml-issue}949[#949])
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Mapping::
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* Ensure that field collapsing works with field aliases. {pull}50722[#50722] (issues: {issue}32648[#32648], {issue}50121[#50121])
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