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retest this please
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retest this please
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LGTM except some minor suggestions.
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retest this please
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+/*
+ * Licensed to the Apache Software
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -211,7 +211,7 @@ abstract class RDD[T: ClassTag](
// Our dependencies and par
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@@ -211,7 +211,7 @@ abstract class RDD[T: ClassTag](
// Our dependencies and par
Github user zhichao-li commented on the pull request:
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@yhuai @rxin , any thoughts or concerns for this PR? It's common that one
table contains tons of partitions(i.e every 15mins a partition for clicking
data).
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// Our dependencies and partiti
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Github user zhonghaihua commented on the pull request:
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Hi @zhichao-li ,thanks for doing this.I got a problem of scanning
partitions slowly,and I apply this patch to my spark version.In my case:
* Before I apply this p
Github user zhonghaihua commented on the pull request:
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Hi @zhichao-li ,thanks for doing this.I got a problem of scanning
partitions slowly,and I apply this patch to my spark version.In my case:
* Before I apply this
Github user chenghao-intel commented on the pull request:
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cc/ @scwf @Sephiroth-Lin, not sure if you guys get time for benchmarking
this with the real world cases.
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cc @chenghao-intel
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[SPARK-11517][SQL]Calc partitions in parallel for multiple partitions table
Currently we calculate the getPartitions for each "hive partition" in
sequence way, it would be faster if we can parall
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