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https://issues.apache.org/jira/browse/SPARK-17705?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
oaksharks closed SPARK-17705.
-----------------------------
Resolution: Not A Problem
> spark sql : scala.MatchError: () (of class scala.runtime.BoxedUnit) at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:295)
> ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-17705
> URL: https://issues.apache.org/jira/browse/SPARK-17705
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.6.0
> Environment: ubuntu12.4 + idea16 + jdk1.8 + spark1.6.0 + hive1.2.1 +
> hadoop2.5.1
> Reporter: oaksharks
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> I create a spark-sql UDAF , when I use the function an exception occurs :
> scala.MatchError: () (of class scala.runtime.BoxedUnit)
> ----
> hear the detail infomation , the exception has nothing to do with my code .
> 16/09/28 17:47:05 ERROR Executor: Exception in task 22.0 in stage 1.0 (TID 23)
> scala.MatchError: () (of class scala.runtime.BoxedUnit)
> at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:295)
> at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:294)
> at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:102)
> at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$2.apply(CatalystTypeConverters.scala:401)
> at
> org.apache.spark.sql.execution.aggregate.ScalaUDAF.eval(udaf.scala:446)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$35.apply(AggregationIterator.scala:376)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$35.apply(AggregationIterator.scala:368)
> at
> org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:154)
> at
> org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:29)
> at scala.collection.Iterator$$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.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$32.apply(RDD.scala:912)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$32.apply(RDD.scala:912)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
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