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https://issues.apache.org/jira/browse/HUDI-2251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17389771#comment-17389771
]
ASF GitHub Bot commented on HUDI-2251:
--------------------------------------
hudi-bot edited a comment on pull request #3367:
URL: https://github.com/apache/hudi/pull/3367#issuecomment-888907075
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## CI report:
* 279cd57cbfad6cc2acd676323f3b43a2bdef6ac0 Azure:
[FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=1241)
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> Fix Exception Cause By Table Name Case Sensitivity For Append Mode Write
> ------------------------------------------------------------------------
>
> Key: HUDI-2251
> URL: https://issues.apache.org/jira/browse/HUDI-2251
> Project: Apache Hudi
> Issue Type: Bug
> Components: Spark Integration
> Reporter: pengzhiwei
> Assignee: pengzhiwei
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> When write a table name with uppercase to the hoodie.properties and then
> write data by spark sql, a exception will throw out.
> {code:java}
> org.apache.hudi.exception.HoodieException: hoodie table with name
> hudi_17Gb_ext1 already exists at
> s3a://siva-test-bucket-june-16/hudi_testing/gh_arch_dump/hudi_5
> at
> org.apache.hudi.HoodieSparkSqlWriter$.handleSaveModes(HoodieSparkSqlWriter.scala:424)
> at
> org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:116)
> at
> org.apache.spark.sql.hudi.command.MergeIntoHoodieTableCommand.executeUpsert(MergeIntoHoodieTableCommand.scala:265)
> at
> org.apache.spark.sql.hudi.command.MergeIntoHoodieTableCommand.run(MergeIntoHoodieTableCommand.scala:151)
> 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$logicalPlan$1(Dataset.scala:229)
> at
> org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:229)
> at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
> {code}
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