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https://issues.apache.org/jira/browse/SPARK-16071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-16071:
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Description:
Several bugs have been found caused by integer overflows in Tungsten. This JIRA
is for taking a final pass before 2.0 release to reduce potential bugs and
issues. We should do at least the following:
* Raise exception early instead of NegativeArraySize
* Document clearly the largest array size we support in DataFrames.
To reproduce one of the issues:
{code}
val n = 1e8.toInt // try 2e8, 3e8
sc.parallelize(0 until 1, 1).map(i => new Array[Int](n)).toDS.map(_.size).show()
{code}
Result:
* n=1e8: correct but with slow
* n=2e8: NegativeArraySize exception
was:
Several bugs have been found caused by integer overflows in Tungsten. This JIRA
is for taking a final pass before 2.0 release to reduce potential bugs and
issues. We should do at least the following:
* Raise exception early instead of NegativeArraySize
* Document clearly the largest array size we support in DataFrames.
> Not sufficient array size checks to avoid integer overflows in Tungsten
> -----------------------------------------------------------------------
>
> Key: SPARK-16071
> URL: https://issues.apache.org/jira/browse/SPARK-16071
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
> Priority: Critical
>
> Several bugs have been found caused by integer overflows in Tungsten. This
> JIRA is for taking a final pass before 2.0 release to reduce potential bugs
> and issues. We should do at least the following:
> * Raise exception early instead of NegativeArraySize
> * Document clearly the largest array size we support in DataFrames.
> To reproduce one of the issues:
> {code}
> val n = 1e8.toInt // try 2e8, 3e8
> sc.parallelize(0 until 1, 1).map(i => new
> Array[Int](n)).toDS.map(_.size).show()
> {code}
> Result:
> * n=1e8: correct but with slow
> * n=2e8: NegativeArraySize exception
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