Miao Wang created SPARK-18011: --------------------------------- Summary: SparkR serialize "NA" throws exception Key: SPARK-18011 URL: https://issues.apache.org/jira/browse/SPARK-18011 Project: Spark Issue Type: Bug Components: SparkR Reporter: Miao Wang
For some versions of R, if Date has "NA" field, backend will throw negative index exception. To reproduce the problem: > a <- as.Date(c("2016-11-11", "NA")) > b <- as.data.frame(a) > c <- createDataFrame(b) > dim(c) 16/10/19 10:31:24 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) -- 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