diff --git a/docs/reference/release-notes.asciidoc b/docs/reference/release-notes.asciidoc index 22a8749b066..5d71950c996 100644 --- a/docs/reference/release-notes.asciidoc +++ b/docs/reference/release-notes.asciidoc @@ -6,6 +6,7 @@ This section summarizes the changes in each release. +* <> * <> * <> * <> diff --git a/docs/reference/release-notes/7.6.asciidoc b/docs/reference/release-notes/7.6.asciidoc index 384a1ae4aff..5d04dacdb87 100644 --- a/docs/reference/release-notes/7.6.asciidoc +++ b/docs/reference/release-notes/7.6.asciidoc @@ -1,3 +1,72 @@ +[[release-notes-7.6.1]] +== {es} version 7.6.1 + +Also see <>. + +[[bug-7.6.1]] +[float] +=== Bug fixes + +Aggregations:: +* Decode max and min optimization more carefully {pull}52336[#52336] (issue: {issue}52220[#52220]) +* Fix a DST error in date_histogram {pull}52016[#52016] (issue: {issue}50265[#50265]) + +Audit:: +* Logfile audit settings validation {pull}52537[#52537] (issues: {issue}47038[#47038], {issue}47711[#47711], {issue}52357[#52357]) + +CCR:: +* Fix shard follow task cleaner under security {pull}52347[#52347] (issues: {issue}44702[#44702], {issue}51971[#51971]) + +Features/cat APIs:: +* Fix NPE in RestPluginsAction {pull}52620[#52620] (issue: {issue}45321[#45321]) + +Features/ILM+SLM:: +* ILM fix the init step to actually be retryable {pull}52076[#52076] + +Features/Ingest:: +* Handle errors when evaluating if conditions in processors {pull}52543[#52543] (issue: {issue}52339[#52339]) + +Features/Monitoring:: +* Fix NPE in cluster state collector for monitoring {pull}52371[#52371] (issue: {issue}52317[#52317]) + +Features/Stats:: +* Switch to AtomicLong for "IngestCurrent" metric to prevent negative values {pull}52581[#52581] (issues: {issue}52406[#52406], {issue}52411[#52411]) + +Infra/Packaging:: +* Limit _FILE env var support to specific vars {pull}52525[#52525] (issue: {issue}52503[#52503]) + +Machine Learning:: +* Don't return inflated definition when storing trained models {pull}52573[#52573] +* Validate tree feature index is within range {pull}52460[#52460] + +Network:: +* Remove seeds dependency for remote cluster settings {pull}52796[#52796] + +Reindex:: +* Allow comma separated source indices {pull}52044[#52044] (issue: {issue}51949[#51949]) + +SQL:: +* Supplement input checks on received request parameters {pull}52229[#52229] +* Fix issue with timezone when paginating {pull}52101[#52101] (issue: {issue}51258[#51258]) +* Fix ORDER BY on aggregates and GROUPed BY fields {pull}51894[#51894] (issue: {issue}50355[#50355]) +* Fix milliseconds handling in intervals {pull}51675[#51675] (issue: {issue}41635[#41635]) +* Selecting a literal from grouped by query generates error {pull}41964[#41964] (issues: {issue}41413[#41413], {issue}41951[#41951]) + +Snapshot/Restore:: +* Fix Non-Verbose Snapshot List Missing Empty Snapshots {pull}52433[#52433] + +Store:: +* Fix synchronization in ByteSizeCachingDirectory {pull}52512[#52512] + + + +[[upgrade-7.6.1]] +[float] +=== Upgrades + +Authentication:: +* Update oauth2-oidc-sdk to 7.0 {pull}52489[#52489] (issue: {issue}48409[#48409]) + [[release-notes-7.6.0]] == {es} version 7.6.0 @@ -79,7 +148,7 @@ Machine Learning:: * Explain data frame analytics API {pull}49455[#49455] * Machine learning model inference ingest processor {pull}49052[#49052] * Implement accuracy metric for multi-class classification {pull}47772[#47772] (issue: {issue}48759[#48759]) -* Add feature importance values to classification and regression results (using tree +* Add feature importance values to classification and regression results (using tree SHapley Additive exPlanation, or SHAP) {ml-pull}857[#857] Mapping:: @@ -243,24 +312,24 @@ Machine Learning:: estimating maximum memory usage {ml-pull}781[#781] * Stratified fractional cross validation for regression {ml-pull}784[#784] * Added `geo_point` supported output for `lat_long` function records {ml-pull}809[#809], {pull}47050[#47050] -* Use a random bag of the data to compute the loss function derivatives for each +* Use a random bag of the data to compute the loss function derivatives for each new tree which is trained for both regression and classification {ml-pull}811[#811] * Emit `prediction_probability` field alongside prediction field in ml results {ml-pull}818[#818] * Reduce memory usage of {ml} native processes on Windows {ml-pull}844[#844] * Reduce runtime of classification and regression {ml-pull}863[#863] -* Stop early training a classification and regression forest when the validation +* Stop early training a classification and regression forest when the validation error is no longer decreasing {ml-pull}875[#875] -* Emit `prediction_field_name` in data frame analytics results using the type +* Emit `prediction_field_name` in data frame analytics results using the type provided as `prediction_field_type` parameter {ml-pull}877[#877] * Improve performance updating quantile estimates {ml-pull}881[#881] -* Migrate to use Bayesian optimisation for initial hyperparameter value line +* Migrate to use Bayesian optimisation for initial hyperparameter value line searches and stop early if the expected improvement is too small {ml-pull}903[#903] -* Stop cross-validation early if the predicted test loss has a small chance of +* Stop cross-validation early if the predicted test loss has a small chance of being smaller than for the best parameter values found so far {ml-pull}915[#915] * Optimize decision threshold for classification to maximize minimum class recall {ml-pull}926[#926] -* Include categorization memory usage in the `model_bytes` field in -`model_size_stats`, so that it is taken into account in node assignment -decisions {ml-pull}927[#927] (issue:{ml-issue}724[#724]) +* Include categorization memory usage in the `model_bytes` field in +`model_size_stats`, so that it is taken into account in node assignment +decisions {ml-pull}927[#927] (issue: {ml-issue}724[#724]) Mapping:: * Add telemetry for flattened fields. {pull}48972[#48972] @@ -483,7 +552,7 @@ Machine Learning:: * Make data frame analytics more robust for very short-lived analyses {pull}49282[#49282] (issue: {issue}49095[#49095]) * Fixes potential memory corruption when determining seasonality {ml-pull}852[#852] * Prevent `prediction_field_name` clashing with other fields in {ml} results {ml-pull}861[#861] -* Include out-of-order as well as in-order terms in categorization reverse searches {ml-pull}950[#950] (issue:{ml-issue}949[#949]) +* Include out-of-order as well as in-order terms in categorization reverse searches {ml-pull}950[#950] (issue: {ml-issue}949[#949]) Mapping:: * Ensure that field collapsing works with field aliases. {pull}50722[#50722] (issues: {issue}32648[#32648], {issue}50121[#50121])