OpenSearch/docs/reference/release-notes/highlights-7.5.0.asciidoc

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[[release-highlights-7.5.0]]
== 7.5.0 release highlights
++++
<titleabbrev>7.5.0</titleabbrev>
++++
//NOTE: The notable-highlights tagged regions are re-used in the
//Installation and Upgrade Guide
// tag::notable-highlights[]
[float]
==== Enrich processor
A new {ref}/enrich-processor.html[enrich ingest processor] has been added,
which can enrich documents with data from another index.
// end::notable-highlights[]
// tag::notable-highlights[]
[float]
==== Shape support in SQL
{ref}/xpack-sql.html[SQL] functionality that worked for geo_shape will
now work for the {ref}/shape.html[`shape`] field type introduced in 7.3.
// end::notable-highlights[]
// tag::notable-highlights[]
[float]
==== Snapshot lifecycle management retention
There is a new {ref}/slm-retention.html[snapshot lifecycle management retention],
which allows you to delete older snapshots automatically through a custom
policys schedule.
// end::notable-highlights[]
// tag::notable-highlights[]
[float]
==== Pause {ccr}
New {ref}/ccr-post-pause-follow.html[pause] and
{ref}/ccr-post-pause-follow.html[resume] API endpoints for
{ref}/xpack-ccr.html[{ccr}] have been added, which enable you to temporarily
pause auto-follow patterns.
// end::notable-highlights[]
// tag::notable-highlights[]
[float]
==== {ml-cap} {classanalysis}
{ml-docs}/dfa-classification.html[{classanalysis-cap}] is a supervised {ml}
process for predicting a class or category of a given data point in a dataset.
For example, it can determine whether an email is spam or not.
{classification-cap} is for predicting discrete, categorical values, unlike
{reganalysis}, which predicts continuous, numerical values. 7.5.0 introduces
binary classification, which can label data points into two possible categories.
// end::notable-highlights[]