[jira] [Updated] (SPARK-3033) [Hive] java.math.BigDecimal cannot be cast to org.apache.hadoop.hive.common.type.HiveDecimal

2015-08-06 Thread Davies Liu (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-3033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Davies Liu updated SPARK-3033:
--
Assignee: Yin Huai

 [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: Yin Huai

 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}



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[jira] [Updated] (SPARK-3033) [Hive] java.math.BigDecimal cannot be cast to org.apache.hadoop.hive.common.type.HiveDecimal

2015-02-08 Thread Patrick Wendell (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-3033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Patrick Wendell updated SPARK-3033:
---
Component/s: (was: Spark Core)

 [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

 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}



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[jira] [Updated] (SPARK-3033) [Hive] java.math.BigDecimal cannot be cast to org.apache.hadoop.hive.common.type.HiveDecimal

2015-02-08 Thread Sean Owen (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-3033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen updated SPARK-3033:
-
Priority: Major  (was: Blocker)

 [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: Spark Core, SQL
Affects Versions: 1.0.2
Reporter: pengyanhong

 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}



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[jira] [Updated] (SPARK-3033) [Hive] java.math.BigDecimal cannot be cast to org.apache.hadoop.hive.common.type.HiveDecimal

2014-08-14 Thread pengyanhong (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-3033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

pengyanhong updated SPARK-3033:
---

Summary: [Hive] java.math.BigDecimal cannot be cast to 
org.apache.hadoop.hive.common.type.HiveDecimal  (was: java.math.BigDecimal 
cannot be cast to org.apache.hadoop.hive.common.type.HiveDecimal)

 [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: Spark Core, SQL
Affects Versions: 1.0.2
Reporter: pengyanhong
Priority: Blocker

 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}



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