Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15421
@felixcheung I rebuild clean image and use the test case on JIRA. Still
fails.
> df <- data.frame(Date = as.Date(c(rep("2016-01-10", 10), "NA", "NA")), id
= 1:12)
>
> dim(createDataFrame(df))
16/10/14 14:28:51 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
java.lang.OutOfMemoryError: Java heap space
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$.readDate(SerDe.scala:133)
at org.apache.spark.api.r.SerDe$.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)
Since automated tests passed, it could be related to my specific system.
You can ignore the issue now. I will follow up if I find any issues. Thanks!
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