JoshuaZhuCN opened a new issue, #5981:
URL: https://github.com/apache/hudi/issues/5981
How to change the precombine field of a created Hudi table ?
1、I tried to use the alter table of spark SQL to change it, but it didn't
take effect. Hoodie.properties is still the original field
2、When I try to use datasource to write, I directly specify the option
("hoodie.table.precombine.field", "new file"), and an error will occur
```org.apache.hudi.exception.HoodieException: Config conflict(key current
value existing value):
PreCombineKey: new filed old filed
at
org.apache.hudi.HoodieWriterUtils$.validateTableConfig(HoodieWriterUtils.scala:162)
at
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:89)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:164)
at
org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)
at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)
at
org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)
at
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)
at
org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at com.leqee.sparktool.hoodie.HoodieData.saveData(HoodieData.scala:382)
at com.leqee.sparktool.hoodie.HoodieData.upsert(HoodieData.scala:181)
at com.leqee.sparktool.hoodie.Hoodie.upsert(Hoodie.scala:242)
at com.leqee.sparktool.hoodie.Hoodie.upsert(Hoodie.scala:232)
... 51 elided```
**Environment Description**
* Hudi version : 0.10.1
* Spark version : 3.1.3
* Hive version : 3.1.0
* Hadoop version : 3.1.1
* Storage (HDFS/S3/GCS..) : HDFS
* Running on Docker? (yes/no) : no
**Additional context**
Add any other context about the problem here.
**Stacktrace**
```Add the stacktrace of the error.```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
