You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hudi.apache.org by "leesf (Jira)" <ji...@apache.org> on 2020/07/19 12:33:00 UTC
[jira] [Closed] (HUDI-1087) Realtime Record Reader needs to handle
decimal types
[ https://issues.apache.org/jira/browse/HUDI-1087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
leesf closed HUDI-1087.
-----------------------
> Realtime Record Reader needs to handle decimal types
> ----------------------------------------------------
>
> Key: HUDI-1087
> URL: https://issues.apache.org/jira/browse/HUDI-1087
> Project: Apache Hudi
> Issue Type: Bug
> Components: Hive Integration
> Reporter: Balaji Varadarajan
> Assignee: Wenning Ding
> Priority: Blocker
> Labels: pull-request-available
> Fix For: 0.6.0
>
>
> For MOR, Realtime queries, decimal types are not getting handled correctly resulting in the following exception:
>
>
> {{scala> spark.sql("select * from testTable_rt").show
> java.lang.ClassCastException: org.apache.hadoop.io.BytesWritable cannot be cast to org.apache.hadoop.hive.serde2.io.HiveDecimalWritable
> at org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableHiveDecimalObjectInspector.getPrimitiveWritableObject(WritableHiveDecimalObjectInspector.java:41)
> at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:107)
> at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414)
> at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413)
> at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442)
> at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:291)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:283)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)}}
> {{}}
> {{Issue : [https://github.com/apache/hudi/issues/1790]}}
> {{}}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)