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[DOCS] Added release highlights for 6.3 (#31256)
* [DOCS] Added release highlights for 6.3 * [DOCS] Fixed typos and link to rollup section. * [DOCS] Fixed typo
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[[release-highlights-6.3.0]]
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== 6.3.0 release highlights
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++++
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<titleabbrev>6.3.0</titleabbrev>
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++++
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Here are the highlights of features that were added in {es} 6.3.0.
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Refer to the <<release-notes-6.3.0,{es} 6.3.0 release notes>> for the full list
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of changes in this release.
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NOTE: We want your feedback on the experimental features in this release! Let
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us know what you’d like to see next and any problems you encounter.
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[float]
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=== SQL
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This experimental feature enables users who are familiar with SQL to
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use SQL statements to query {es} indices. In addition to querying
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through the SQL API, you can use the Translate API to see how SQL queries
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are translated to native ELasticsearch queries.
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The included SQL CLI provides a simple way to submit SQL queries to {es}.
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Similarly, the {es} JDBC driver enables you to connect your favorite
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JDBC-compatible tool to {es}.
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For more information, see <<xpack-sql, SQL Access>>.
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[float]
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=== Rollups
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This experimental feature enables you to summarize and store historical data
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so that is still available for analysis, but consumes significantly less
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storage space. This is particularly useful when you're working with monitoring
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and metrics data where it's not feasible to retain the raw data indefinitely.
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When you ask {es} to store a rollup of data, it also stores the underlying
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statistics. For example, if you roll up an average, the sum and count are also
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stored so that the average can be recomputed at query time. This enables you to
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query both rolled up data and “live” data simultaneously using the standard
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query DSL.
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For more information, see <<xpack-rollup, Rolling up historical data>>.
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[float]
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=== Java 10 Support
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Java 9 was a short-term release that reached EOL in March 2018. 6.3.0 introduces
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support for Java 10, which is scheduled to reach EOL in September 2018.
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If you are not comfortable with the rapid release cycle of Java short term
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versions (and EOL dates), you can continue to use Java 8. See the
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https://www.elastic.co/support/matrix#matrix_jvm[support matrix]
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for all of the JVM options for {es}.
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[float]
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=== Improved trend modeling and periodicity testing for forecasting
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{stack-ov}/ml-overview.html#ml-forecasting[Forecasting] is now more reliable and
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has greatly improved confidence intervals--particularly for longer time ranges.
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These improvements also affect trend and seasonality modeling during anomaly
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detection.

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