You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@hive.apache.org by "meiyoula (JIRA)" <ji...@apache.org> on 2015/07/02 08:28:04 UTC
[jira] [Updated] (HIVE-11166) HiveHBaseTableOutputFormat can't call
getFileExtension(JobConf jc, boolean isCompressed, HiveOutputFormat, ?>
hiveOutputFormat)
[ https://issues.apache.org/jira/browse/HIVE-11166?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
meiyoula updated HIVE-11166:
----------------------------
Attachment: HIVE-11166.patch
> 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
> Attachments: 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}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)