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https://issues.apache.org/jira/browse/SPARK-9269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-9269:
-----------------------------------

    Assignee:     (was: Apache Spark)

> Add Set to the matching  type in ArrayConverter
> -----------------------------------------------
>
>                 Key: SPARK-9269
>                 URL: https://issues.apache.org/jira/browse/SPARK-9269
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.4.0
>            Reporter: Alex Liu
>
> When the data is scala set, the following error is thrown.
> {code}
> scala.MatchError: Set() (of class scala.collection.immutable.Set$EmptySet$)
>       at 
> org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$2.apply(CatalystTypeConverters.scala:136)
>       at 
> org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$4.apply(CatalystTypeConverters.scala:187)
>       at 
> org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$4.apply(CatalystTypeConverters.scala:187)
>       at 
> org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:62)
>       at 
> org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:59)
>       at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>       at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>       at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>       at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>       at 
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>       at 
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>       at 
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>       at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
>       at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>       at 
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>       at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>       at 
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>       at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>       at 
> org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885)
>       at 
> org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885)
>       at 
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
>       at 
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
>       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
>       at org.apache.spark.scheduler.Task.run(Task.scala:70)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> {code}
> We need add Set to the matching type



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