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

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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: Schema Evolution Scenarios

Next topic: Hudi Schema Evolution and Syntax

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