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https://issues.apache.org/jira/browse/HIVE-11166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15831802#comment-15831802
 ] 

Jean-Marc Spaggiari commented on HIVE-11166:
--------------------------------------------

Any progress on that?

> HiveHBaseTableOutputFormat can't call getFileExtension(JobConf jc, boolean 
> isCompressed, HiveOutputFormat<?, ?> hiveOutputFormat)
> ---------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: HIVE-11166
>                 URL: https://issues.apache.org/jira/browse/HIVE-11166
>             Project: Hive
>          Issue Type: Bug
>          Components: HBase Handler, Spark
>            Reporter: meiyoula
>            Assignee: Yun Zhao
>         Attachments: HIVE-11166.2.patch, HIVE-11166.patch
>
>
>  I create a hbase table with HBaseStorageHandler in JDBCServer of spark, then 
> execute the *insert into* sql statement, ClassCastException occurs.
> {quote}
> Error: org.apache.spark.SparkException: Job aborted due to stage failure: 
> Task 1 in stage 3.0 failed 4 times, most recent failure: Lost task 1.3 in 
> stage 3.0 (TID 12, vm-17): java.lang.ClassCastException: 
> org.apache.hadoop.hive.hbase.HiveHBaseTableOutputFormat cannot be cast to 
> org.apache.hadoop.hive.ql.io.HiveOutputFormat
>         at 
> org.apache.spark.sql.hive.SparkHiveWriterContainer.outputFormat$lzycompute(hiveWriterContainers.scala:72)
>         at 
> org.apache.spark.sql.hive.SparkHiveWriterContainer.outputFormat(hiveWriterContainers.scala:71)
>         at 
> org.apache.spark.sql.hive.SparkHiveWriterContainer.getOutputName(hiveWriterContainers.scala:91)
>         at 
> org.apache.spark.sql.hive.SparkHiveWriterContainer.initWriters(hiveWriterContainers.scala:115)
>         at 
> org.apache.spark.sql.hive.SparkHiveWriterContainer.executorSideSetup(hiveWriterContainers.scala:84)
>         at 
> org.apache.spark.sql.hive.execution.InsertIntoHiveTable.org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1(InsertIntoHiveTable.scala:112)
>         at 
> org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:93)
>         at 
> org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:93)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
>         at org.apache.spark.scheduler.Task.run(Task.scala:56)
>         at 
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:197)
>         at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> {quote}
> It's because the code in spark below. To hbase table, the outputFormat is 
> HiveHBaseTableOutputFormat, it isn't instanceOf[HiveOutputForm
> at].
> {quote}
> @transient private lazy val 
> outputFormat=conf.value.getOutputFormat.asInstanceOf[HiveOutputForm
> at[AnyRef, Writable]]
> val extension = Utilities.getFileExtension(conf.value, 
> fileSinkConf.getCompressed, outputFormat)
> {quote}



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