[SPARK-18679] [SQL] Fix regression in file listing performance for non-catalog tables#16112
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ericl wants to merge 2 commits intoapache:masterfrom
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[SPARK-18679] [SQL] Fix regression in file listing performance for non-catalog tables#16112ericl wants to merge 2 commits intoapache:masterfrom
ericl wants to merge 2 commits intoapache:masterfrom
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ericl
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cloud-fan
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Dec 2, 2016
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| test("PartitioningAwareFileIndex listing parallelized with many top level dirs") { | ||
| for ((scale, expectedNumPar) <- Seq((10, 0), (50, 1))) { |
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shall we do withSQLConf(SQLConf.PARALLEL_PARTITION_DISCOVERY_THRESHOLD -> "xxx") { test code } to make the test more robust?
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LGTM, @ericl have you run some local benchmark to make sure the performance regression is fixed? |
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Yep
…On Thu, Dec 1, 2016, 8:03 PM Wenchen Fan ***@***.***> wrote:
LGTM, @ericl <https://github.com/ericl> have you run some local benchmark
to make sure the performance regression is fixed?
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Test build #69531 has finished for PR 16112 at commit
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…-catalog tables ## What changes were proposed in this pull request? In Spark 2.1 ListingFileCatalog was significantly refactored (and renamed to InMemoryFileIndex). This introduced a regression where parallelism could only be introduced at the very top of the tree. However, in many cases (e.g. `spark.read.parquet(topLevelDir)`), the top of the tree is only a single directory. This PR simplifies and fixes the parallel recursive listing code to allow parallelism to be introduced at any level during recursive descent (though note that once we decide to list a sub-tree in parallel, the sub-tree is listed in serial on executors). cc mallman cloud-fan ## How was this patch tested? Checked metrics in unit tests. Author: Eric Liang <ekl@databricks.com> Closes #16112 from ericl/spark-18679. (cherry picked from commit 294163e) Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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thanks, merging to master/2.1! |
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…-catalog tables ## What changes were proposed in this pull request? In Spark 2.1 ListingFileCatalog was significantly refactored (and renamed to InMemoryFileIndex). This introduced a regression where parallelism could only be introduced at the very top of the tree. However, in many cases (e.g. `spark.read.parquet(topLevelDir)`), the top of the tree is only a single directory. This PR simplifies and fixes the parallel recursive listing code to allow parallelism to be introduced at any level during recursive descent (though note that once we decide to list a sub-tree in parallel, the sub-tree is listed in serial on executors). cc mallman cloud-fan ## How was this patch tested? Checked metrics in unit tests. Author: Eric Liang <ekl@databricks.com> Closes apache#16112 from ericl/spark-18679.
uzadude
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…-catalog tables ## What changes were proposed in this pull request? In Spark 2.1 ListingFileCatalog was significantly refactored (and renamed to InMemoryFileIndex). This introduced a regression where parallelism could only be introduced at the very top of the tree. However, in many cases (e.g. `spark.read.parquet(topLevelDir)`), the top of the tree is only a single directory. This PR simplifies and fixes the parallel recursive listing code to allow parallelism to be introduced at any level during recursive descent (though note that once we decide to list a sub-tree in parallel, the sub-tree is listed in serial on executors). cc mallman cloud-fan ## How was this patch tested? Checked metrics in unit tests. Author: Eric Liang <ekl@databricks.com> Closes apache#16112 from ericl/spark-18679.
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What changes were proposed in this pull request?
In Spark 2.1 ListingFileCatalog was significantly refactored (and renamed to InMemoryFileIndex). This introduced a regression where parallelism could only be introduced at the very top of the tree. However, in many cases (e.g.
spark.read.parquet(topLevelDir)), the top of the tree is only a single directory.This PR simplifies and fixes the parallel recursive listing code to allow parallelism to be introduced at any level during recursive descent (though note that once we decide to list a sub-tree in parallel, the sub-tree is listed in serial on executors).
cc @mallman @cloud-fan
How was this patch tested?
Checked metrics in unit tests.