![]() ![]() Push down limit through WINDOW when partition spec is empty ( SPARK-34575).Push down limit for LEFT SEMI and LEFT ANTI join ( SPARK-36404, SPARK-34514).Push down limit through Project with Join ( SPARK-34622).Remove redundant aggregates in the Optimizer ( SPARK-33122).Improve the performance of type coercion rules ( SPARK-35103).Improve the performance of mapChildren and withNewChildren methods ( SPARK-34989).Support traversal pruning in transform/resolve functions and their call sites ( SPARK-35042).RESPECT) NULLS for LEAD/LAG/NTH_VALUE/FIRST_VALUE/LAST_VALUE ( SPARK-30789) Block count(table.*) to follow ANSI standard and other SQL engines ( SPARK-34199).ANSI mode: Check for overflow in Average ( SPARK-35955). ![]() ANSI mode: IntegralDivide throws an exception on overflow ( SPARK-35152).Support LATERAL subqueries ( SPARK-34382).New type coercion syntax rules in ANSI mode ( SPARK-34246).Query compilation latency reduction ( SPARK-35042, SPARK-35103, SPARK-34989).Support for ANSI SQL INTERVAL types ( SPARK-27790).EventTime based sessionization (session window) ( SPARK-10816).Add RocksDB StateStore implementation ( SPARK-34198).Support push-based shuffle to improve shuffle efficiency ( SPARK-30602).Enable adaptive query execution by default ( SPARK-33679).Support Pandas API layer on PySpark ( SPARK-34849).We have curated a list of high level changes here, grouped by major modules. You can consult JIRA for the detailed changes. To download Apache Spark 3.2.0, visit the downloads page. Other major updates include RocksDB StateStore support, session window support, push-based shuffle support, ANSI SQL INTERVAL types, enabling Adaptive Query Execution (AQE) by default, and ANSI SQL mode GA. Pandas users can scale out their applications on Spark with one line code change. In this release, Spark supports the Pandas API layer on Spark. With tremendous contribution from the open-source community, this release managed to resolve in excess of 1,700 Jira tickets. Apache Spark 3.2.0 is the third release of the 3.x line. ![]()
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