[ https://issues.apache.org/jira/browse/SPARK-3033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai resolved SPARK-3033. ----------------------------- Resolution: Fixed Assignee: Cheng Hao (was: Yin Huai) Fix Version/s: 1.3.0 I tested it with hive udaf stddev on decimal columns. It works. Based on the code history, I believe it is fixed by https://issues.apache.org/jira/browse/SPARK-4573. > [Hive] java.math.BigDecimal cannot be cast to > org.apache.hadoop.hive.common.type.HiveDecimal > -------------------------------------------------------------------------------------------- > > Key: SPARK-3033 > URL: https://issues.apache.org/jira/browse/SPARK-3033 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.0.2 > Reporter: pengyanhong > Assignee: Cheng Hao > Fix For: 1.3.0 > > > run a complex HiveQL via yarn-cluster, got error as below: > {quote} > 14/08/14 15:05:24 WARN > org.apache.spark.Logging$class.logWarning(Logging.scala:70): Loss was due to > java.lang.ClassCastException > java.lang.ClassCastException: java.math.BigDecimal cannot be cast to > org.apache.hadoop.hive.common.type.HiveDecimal > at > org.apache.hadoop.hive.serde2.objectinspector.primitive.JavaHiveDecimalObjectInspector.getPrimitiveJavaObject(JavaHiveDecimalObjectInspector.java:51) > at > org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils.getHiveDecimal(PrimitiveObjectInspectorUtils.java:1022) > at > org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorConverter$HiveDecimalConverter.convert(PrimitiveObjectInspectorConverter.java:306) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFUtils$ReturnObjectInspectorResolver.convertIfNecessary(GenericUDFUtils.java:179) > at > org.apache.hadoop.hive.ql.udf.generic.GenericUDFIf.evaluate(GenericUDFIf.java:82) > at org.apache.spark.sql.hive.HiveGenericUdf.eval(hiveUdfs.scala:276) > at > org.apache.spark.sql.catalyst.expressions.Alias.eval(namedExpressions.scala:84) > at > org.apache.spark.sql.catalyst.expressions.MutableProjection.apply(Projection.scala:62) > at > org.apache.spark.sql.catalyst.expressions.MutableProjection.apply(Projection.scala:51) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > org.apache.spark.sql.execution.BroadcastNestedLoopJoin$$anonfun$4.apply(joins.scala:309) > at > org.apache.spark.sql.execution.BroadcastNestedLoopJoin$$anonfun$4.apply(joins.scala:303) > at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:571) > at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:571) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) > at org.apache.spark.scheduler.Task.run(Task.scala:51) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:183) > at > java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) > at java.lang.Thread.run(Thread.java:662) > {quote} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org