Help Center/ MapReduce Service/ Component Operation Guide (LTS)/ Using Hudi/ Hudi Schema Evolution/ Configuring SparkSQL for Hudi Schema Evolution

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

View PDF

Configuring SparkSQL for Hudi Schema Evolution

Schema evolution cannot be disabled once being enabled.
This topic is available for MRS 3.2.0 and earlier versions only.

To use spark-beeline, log in to FusionInsight Manager, choose Cluster > Services > Spark2x, and click the Configurations tab then the All Configurations sub-tab.
Search for spark.sql.extensions in the search box and change its value of JDBCServer to org.apache.spark.sql.hive.FISparkSessionExtension,org.apache.spark.sql.hudi.HoodieSparkSessionExtension,org.apache.spark.sql.hive.CarbonInternalExtensions.

For SQL operations, run the following command before running any SQL statements:
```
set hoodie.schema.evolution.enable=true
```
For API calls, specify the following parameter in DataFrame options:
```
hoodie.schema.evolution.enable -> true
```

Parent topic: Hudi Schema Evolution

Previous topic: Evolution Introduction

Next topic: Hudi Schema Evolution and 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.