lamber-ken created HUDI-453:
-------------------------------

             Summary: Throw failed to archive commits error when writing data 
to MOR table
                 Key: HUDI-453
                 URL: https://issues.apache.org/jira/browse/HUDI-453
             Project: Apache Hudi (incubating)
          Issue Type: Bug
            Reporter: lamber-ken


Throw failed to archive commits error when writing data to MOR table

```

19/12/24 01:30:48 ERROR HoodieCommitArchiveLog: Failed to archive commits, 
.commit file: 20191224004558.clean.requested

java.io.IOException: Not an Avro data file

 at org.apache.avro.file.DataFileReader.openReader(DataFileReader.java:50)

 at 
org.apache.hudi.common.util.AvroUtils.deserializeAvroMetadata(AvroUtils.java:147)

 at 
org.apache.hudi.common.util.CleanerUtils.getCleanerPlan(CleanerUtils.java:88)

 at 
org.apache.hudi.io.HoodieCommitArchiveLog.convertToAvroRecord(HoodieCommitArchiveLog.java:294)

 at 
org.apache.hudi.io.HoodieCommitArchiveLog.archive(HoodieCommitArchiveLog.java:253)

 at 
org.apache.hudi.io.HoodieCommitArchiveLog.archiveIfRequired(HoodieCommitArchiveLog.java:122)

 at org.apache.hudi.HoodieWriteClient.commit(HoodieWriteClient.java:562)

 at org.apache.hudi.HoodieWriteClient.commit(HoodieWriteClient.java:523)

 at org.apache.hudi.HoodieWriteClient.commit(HoodieWriteClient.java:514)

 at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:159)

 at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:91)

 at 
org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)

 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:86)

 at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)

 at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)

 at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)

 at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)

 at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)

 at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)

 at 
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)

 at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)

 at 
org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:656)

 at 
org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:656)

 at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)

 at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:656)

 at 
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:273)

 at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:267)

 at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:225)

```



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