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[SPARK-13390][SQL][branch-1.6]Fix the issue that Iterator.map().toSeq is not Serializable - #11334
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zsxwing wants to merge 1 commit into
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[SPARK-13390][SQL][branch-1.6]Fix the issue that Iterator.map().toSeq is not Serializable#11334zsxwing wants to merge 1 commit into
zsxwing wants to merge 1 commit into
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zsxwing
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Feb 23, 2016
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retest this please |
SparkQA
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Feb 24, 2016
Test build #51816 has finished for PR 11334 at commit
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zsxwing
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Feb 24, 2016
MemberAuthor
retest this please |
SparkQA
commented
Feb 24, 2016
Test build #51824 has finished for PR 11334 at commit
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srowen
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Feb 24, 2016
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LGTM |
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Feb 24, 2016
…q is not Serializable ## What changes were proposed in this pull request? `scala.collection.Iterator`'s methods (e.g., map, filter) will return an `AbstractIterator` which is not Serializable. E.g., ```Scala scala> val iter = Array(1, 2, 3).iterator.map(_ + 1) iter: Iterator[Int] = non-empty iterator scala> println(iter.isInstanceOf[Serializable]) false ``` If we call something like `Iterator.map(...).toSeq`, it will create a `Stream` that contains a non-serializable `AbstractIterator` field and make the `Stream` be non-serializable. This PR uses `toArray` instead of `toSeq` to fix such issue in `def createDataFrame(data: java.util.List[_], beanClass: Class[_]): DataFrame`. ## How was the this patch tested? Jenkins tests. Author: Shixiong Zhu <shixiong@databricks.com> Closes#11334 from zsxwing/SPARK-13390.
srowen
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Feb 24, 2016
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Merged to 1.6 |
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What changes were proposed in this pull request?
scala.collection.Iterator's methods (e.g., map, filter) will return anAbstractIteratorwhich is not Serializable. E.g.,If we call something like
Iterator.map(...).toSeq, it will create aStreamthat contains a non-serializableAbstractIteratorfield and make theStreambe non-serializable.This PR uses
toArrayinstead oftoSeqto fix such issue indef createDataFrame(data: java.util.List[_], beanClass: Class[_]): DataFrame.How was the this patch tested?
Jenkins tests.