Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/15421 @falaki I patched your fix to a clean build. I still see the following error: > df <- data.frame(Date = as.Date(c(rep("2016-01-10", 10), "NA", "NA")), id = 1:12) > > dim(createDataFrame(df)) 16/10/11 11:51:00 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1) java.lang.NegativeArraySizeException at org.apache.spark.api.r.SerDe$.readStringBytes(SerDe.scala:110) at org.apache.spark.api.r.SerDe$.readString(SerDe.scala:119) at org.apache.spark.api.r.SerDe$.readDate(SerDe.scala:128) at org.apache.spark.api.r.SerDe$.readTypedObject(SerDe.scala:77) at org.apache.spark.api.r.SerDe$.readObject(SerDe.scala:61) at org.apache.spark.sql.api.r.SQLUtils$$anonfun$bytesToRow$1.apply(SQLUtils.scala:161) at org.apache.spark.sql.api.r.SQLUtils$$anonfun$bytesToRow$1.apply(SQLUtils.scala:160) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.immutable.Range.foreach(Range.scala:160) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.spark.sql.api.r.SQLUtils$.bytesToRow(SQLUtils.scala:160) at org.apache.spark.sql.api.r.SQLUtils$$anonfun$5.apply(SQLUtils.scala:138) at org.apache.spark.sql.api.r.SQLUtils$$anonfun$5.apply(SQLUtils.scala:138) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:372) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) I am still debugging. It seems that source on R side has some issue.
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