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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/07/19 03:27:00 UTC
[jira] [Updated] (SPARK-28436) Throw better exception when
datasource's schema is not equal to user-specific shema
[ https://issues.apache.org/jira/browse/SPARK-28436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-28436:
---------------------------------
Summary: Throw better exception when datasource's schema is not equal to user-specific shema (was: [SQL] Throw better exception when datasource's schema is not equal to user-specific shema)
> Throw better exception when datasource's schema is not equal to user-specific shema
> -----------------------------------------------------------------------------------
>
> Key: SPARK-28436
> URL: https://issues.apache.org/jira/browse/SPARK-28436
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0, 2.4.3
> Reporter: ShuMing Li
> Priority: Minor
>
> When this exception is thrown, users cannot find what's the difference between datasource's original schema and user-specific schema, and maybe very confused when meet the exception below.
> {code:java}
> org.apache.spark.sql.AnalysisException: org.apache.spark.odps.datasource does not allow user-specified schemas.
> at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:347)
> at org.apache.spark.sql.execution.command.CreateDataSourceTableCommand.run(createDataSourceTables.scala:78)
> 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.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
> at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3270)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:83)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3269)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:190)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:75)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:653)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:714)
> {code}
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