Help Center/ MapReduce Service/ Component Operation Guide (LTS)/ Using Spark/Spark2x/ Spark SQL Enterprise-Class Enhancements/ Configuring the Drop Partition Command to Support Batch Deletion

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

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Configuring the Drop Partition Command to Support Batch Deletion

This section applies only to MRS 3.2.0 or later.

Scenario

Currently, the Drop Partition command in Spark supports partition deletion using only the equal sign (=). This configuration allows multiple filter criteria to be used to delete partitions in batches, for example, <, <=, >, >=, !>, and !<.

Configuration

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

Parameter	Description	Default Value
spark.sql.dropPartitionsInBatch.enabled	If this parameter is set to true, the Drop Partition command supports the following filter criteria: <, <=, >, >=, !>, and !<.	true
spark.sql.dropPartitionsInBatch.limit	Indicates the maximum number of partitions that can be batch dropped.	1000

Parent topic: Spark SQL Enterprise-Class Enhancements

Previous topic: Filtering Partitions Without Paths in a Partitioned Table

Next topic: Configuring Dynamic Overwriting for Hive Table Partitions

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