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spark 分区数据量特别大20多万的分区,driver内存为15G,由于master是通过driver启动的,作业运行1/3之后,shuffleEpochSetMap 占用内存将近10G左右,导致driver内存溢出,shuffleEpochSetMap 的大小跟什么有关系,为什么会占用这么多的内存,有什么解决办法吗
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spark 分区数据量特别大20多万的分区,driver内存为15G,由于master是通过driver启动的,作业运行1/3之后,shuffleEpochSetMap 占用内存将近10G左右,导致driver内存溢出,shuffleEpochSetMap 的大小跟什么有关系,为什么会占用这么多的内存,有什么解决办法吗
The text was updated successfully, but these errors were encountered: