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Patrick Wendell resolved SPARK-2728. ------------------------------------ Resolution: Not a Problem Closing as per [~srowen] > Integer overflow in partition index calculation RangePartitioner > ---------------------------------------------------------------- > > Key: SPARK-2728 > URL: https://issues.apache.org/jira/browse/SPARK-2728 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.0.0 > Environment: Spark 1.0.1 > Reporter: Jianshi Huang > Labels: easyfix > > If the partition number are greater than 10362, then spark will report > ArrayOutofIndex error. > The reason is in the partition index calculation in rangeBounds: > #Line: 112 > val bounds = new Array[K](partitions - 1) > for (i <- 0 until partitions - 1) { > val index = (rddSample.length - 1) * (i + 1) / partitions > bounds(i) = rddSample(index) > } > Here (rddSample.length - 1) * (i + 1) will overflow to a negative Int. > Cast rddSample.length - 1 to Long should be enough for a fix? > Jianshi -- This message was sent by Atlassian JIRA (v6.2#6252) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org