Help Center/ MapReduce Service/ Component Operation Guide (LTS)/ Using Spark/Spark2x/ Spark O&M Management/ Broaden Support for Hive Partition Pruning Predicate Pushdown

Updated on 2024-10-09 GMT+08:00

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Broaden Support for Hive Partition Pruning Predicate Pushdown

Scenario

In earlier versions, the predicate for pruning Hive table partitions is pushed down. Only comparison expressions between column names and integers or character strings can be pushed down. In version 2.3, pushdown of the null, in, and, or expressions are supported.

Parameters

Log in to FusionInsight Manager, choose Cluster > Services > Spark2x > Configurations, click All Configurations, and search for the following parameters.

Parameter	Description	Default Value	Value Range
spark.sql.hive.advancedPartitionPredicatePushdown.enabled	Specifies whether to broaden the support for Hive partition pruning predicate pushdown.	true	[true,false]

Parent topic: Spark O&M Management

Previous topic: Configuring Environment Variables in Yarn-Client and Yarn-Cluster Modes

Next topic: Configuring the Column Statistics Histogram for Higher CBO Accuracy

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