[SPARK-21649][SQL] Support writing data into hive bucket table. by jinxing64 · Pull Request #18866 · apache/spark

jinxing64 · 2017-08-07T06:21:53Z

What changes were proposed in this pull request?

Support writing hive bucket table. Spark internally uses Murmur3Hash for partitioning. We can use hive hash for compatibility when write to bucket table.

How was this patch tested?

Unit test.

jinxing64 · 2017-08-07T06:25:29Z

I added the unit test referring (https://github.com/apache/hive/blob/branch-1/ql/src/java/org/apache/hadoop/hive/ql/optimizer/AbstractBucketJoinProc.java#L393).
Hive will sort bucket files by file names when do SMB join.

viirya · 2017-08-07T06:51:40Z

I saw that HiveHash simulates Hive's hashing function from Hive v1.2.1.... Is there any compatibility issue for Hive before 1.2.1?

@viirya Thanks a lot for comment !
I compared code between v0.13(https://github.com/apache/hive/blob/branch-0.13/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/ObjectInspectorUtils.java#L496) and v1.2.1(https://github.com/apache/hive/blob/branch-1/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/ObjectInspectorUtils.java#L557). In my understanding, there's no compatibility issue. v1.2.1 add hashcode support for more types(INTERVAL_YEAR_MONTH, INTERVAL_DAY_TIME), for the existing types, they are compatible with each other.

Ok. Let's add a comment for the parameter useHiveHash.

SparkQA · 2017-08-07T07:04:51Z

Test build #80322 has finished for PR 18866 at commit 51d2c11.

This patch fails due to an unknown error code, -9.
This patch merges cleanly.
This patch adds no public classes.

jinxing64 · 2017-08-07T12:14:09Z

Jenkins, retest this please.

viirya · 2017-08-07T13:11:18Z

It is hard to know the meaning of this Option parameter. Let's add a @param for it?

viirya · 2017-08-07T13:29:40Z

This looks obscure. I need to verify it by calculating HiveHash values for 0 until 100. Maybe we should compute the actual hive hash value here, instead of bucket to (100, 4).

Yes, that would be better. I've updated, please take another look : )

SparkQA · 2017-08-07T13:52:24Z

Test build #80341 has finished for PR 18866 at commit 51d2c11.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds no public classes.

jinxing64 · 2017-08-07T15:21:33Z

@viirya
Please take another look when you have time. I've already updated :)

SparkQA · 2017-08-07T17:48:50Z

Test build #80348 has finished for PR 18866 at commit 8e4a9ea.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2017-08-07T18:02:04Z

Test build #80349 has finished for PR 18866 at commit 9765a48.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

jinxing64 · 2017-08-08T08:31:35Z

cc @cloud-fan
Would you mind give some comments? I can keep working on this :)

cloud-fan · 2017-08-09T05:53:53Z

Hash function is not the only issue, one important difference is: hive will shuffle before write, and make sure one bucket has only one file. Spark doesn't shuffle and each write task may write a file for a bucket. More details please refer to https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit#heading=h.ualze2k709kj

also cc @tejasapatil

SparkQA · 2017-08-13T17:28:24Z

Test build #80597 has finished for PR 18866 at commit 19f880b.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds the following public classes (experimental):
case class ClusteredDistribution(clustering: Seq[Expression], clustersOpt: Option[Int] = None,
case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int,

SparkQA · 2017-08-14T18:32:18Z

Test build #80637 has finished for PR 18866 at commit 6df2e78.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds the following public classes (experimental):
case class HadoopMRTaskCommitStatus(absPathFiles: Map[String, String], commitPaths: Seq[String])
case class ClusteredDistribution(clustering: Seq[Expression], clustersOpt: Option[Int] = None,
case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int,

SparkQA · 2017-08-17T11:51:58Z

Test build #80782 has finished for PR 18866 at commit bc2adbd.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds the following public classes (experimental):
case class HadoopMRTaskCommitStatus(absPathFiles: Map[String, String], commitPaths: Seq[String])
case class ClusteredDistribution(clustering: Seq[Expression], clustersOpt: Option[Int] = None,
case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int,

SparkQA · 2017-08-18T13:40:26Z

Test build #80837 has finished for PR 18866 at commit 8c4f794.

This patch passes all tests.
This patch merges cleanly.
This patch adds the following public classes (experimental):
case class HadoopMRTaskCommitStatus(absPathFiles: Map[String, String], commitPaths: Seq[String])
case class ClusteredDistribution(clustering: Seq[Expression], clustersOpt: Option[Int] = None,
case class HashPartitioning(expressions: Seq[Expression], numPartitions: Int,

SparkQA · 2017-08-19T18:34:48Z

Test build #80873 has finished for PR 18866 at commit cd2be58.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

jinxing64 · 2017-08-20T05:21:19Z

In current change:

ClusteredDistribution becomes ClusteredDistribution(clustering: Seq[Expression], clustersOpt: Option[Int] = None, useHiveHash: Boolean = false) -- a) number of clusters can be specified; b) useHiveHash indicates whether Hive hash should be used for partitioning.
InsertIntoHiveTable requires distribution ClusteredDistribution(partitionAttributes ++ bucketColumns, Option(bucketSpec.numBuckets), useHiveHash = true). Thus to make sure one bucket has only one file.
The name of bucket file is like part-$jobId$ext, no partition id is shown and bucket id is included in $ext, thus only bucket id decides the order of bucket file names.
Write an empty file for empty bucket.

jinxing64 · 2017-08-21T00:59:08Z

@cloud-fan @gatorsmile @jiangxb1987
Would you give some advice on this ? Thus I can know if I'm on the right direction. I can keep working on it :)

cloud-fan · 2017-08-22T14:16:26Z

does this work with append? Even you shuffle the data before writing, we still may have multiple files for one bucket.

Is it possible to generalize this patch to data source level? The current approach looks very hacky and is way away from our expection that hive is also a data source.

jinxing64 · 2017-08-23T00:26:08Z

@cloud-fan
Thanks for reply. Looks like #19001 continues working on this and it's more comprehensive. I will close this pr for now.

viirya reviewed Aug 7, 2017
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jinxing64 force-pushed the SPARK-21649 branch from 8e4a9ea to 9765a48Compare August 7, 2017 15:17

jinxing64 force-pushed the SPARK-21649 branch from 9765a48 to 19f880bCompare August 13, 2017 15:15

jinxing64 changed the title ~~[SPARK-21649][SQL] Support writing data into hive bucket table.~~[WIP][SPARK-21649][SQL] Support writing data into hive bucket table.Aug 14, 2017

jinxing64 force-pushed the SPARK-21649 branch from 19f880b to 6df2e78Compare August 14, 2017 16:07

jinxing64 force-pushed the SPARK-21649 branch from 6df2e78 to bc2adbdCompare August 17, 2017 09:19

Support writing data into hive bucket table.
8c4f794

jinxing64 force-pushed the SPARK-21649 branch from bc2adbd to 8c4f794Compare August 18, 2017 10:17

fix
cd2be58

jinxing64 changed the title ~~[WIP][SPARK-21649][SQL] Support writing data into hive bucket table.~~[SPARK-21649][SQL] Support writing data into hive bucket table.Aug 20, 2017

jinxing64 closed this Aug 23, 2017

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jinxing64 commented Aug 7, 2017

What changes were proposed in this pull request?

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