Help Center> MapReduce Service> Component Operation Guide (Paris Region)> Using Spark2x> Basic Operation> Scenario-Specific Configuration> Broaden Support for Hive Partition Pruning Predicate Pushdown

Updated on 2022-12-14 GMT+08:00

View PDF

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 and choose Cluster > Name of the desired cluster > Services > Spark2x. On the page that is displayed, click the Configurations tab then the All Configurations sub-tab, 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: Scenario-Specific Configuration

Previous topic: Configuring Vector-based ORC Data Reading

Next topic: Hive Dynamic Partition Overwriting Syntax

Feedback

Was this page helpful?

Helpful Not helpful

Provide feedback

Thank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.

The system is busy. Please try again later.

Which of the following issues have you encountered?

Content is inconsistent with the product UI

Unclear descriptions

Lack of examples or code

Incorrect steps

Can't find what I need

Lack of best practices

Feedback (optional)

0/500

Select at least one type of issue, and enter your comments or suggestions.

Enter a maximum of 500 characters.

Submit Cancel

For any further questions, feel free to contact us through the chatbot.