Github user djvulee commented on the issue: https://github.com/apache/spark/pull/16671 Here is the real data test result: Table with 1.2Million rows, 50partition by SparkSQL. old partition result(elements in each partition) >100061,100064,100059,100066,100065,100065,100066,100066,100063,100061,100066,100065,70747,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 new partition result(elements in each partition) >19543,19544,39083,39088,19544,19545,39085,19544,19542,19543,19545,39086,39087,19544,19545,39088,19544,19544,39088,19543,19545,39088,19544,19545,39088,19544,19544,39088,19544,19545,19543,19544,39086,19543,19545,39086,39086,19544,19545,39088,19544,19545,39088,19544,19544,39088,19544,19545,20701,0 count cost time: 1.27s
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