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Posted to reviews@spark.apache.org by yucai <gi...@git.apache.org> on 2018/05/22 09:44:05 UTC
[GitHub] spark pull request #21391: [SPARK-24343][SQL] Avoid shuffle for the bucketed...
GitHub user yucai opened a pull request:
https://github.com/apache/spark/pull/21391
[SPARK-24343][SQL] Avoid shuffle for the bucketed table when shuffle.…
## What changes were proposed in this pull request?
When shuffle.partition > bucket number, Spark needs to shuffle the bucket table as per the shuffle.partition, this PR tries to avoid this shuffle.
See below example:
```
CREATE TABLE dev
USING PARQUET
AS SELECT ws_item_sk, i_item_sk
FROM web_sales_bucketed
JOIN item ON ws_item_sk = i_item_sk;
```
Suppose web_sales_bucketed is bucketed into 4 buckets and set shuffle.partition=10.
Currently, both tables are shuffled into 10 partitions.
```
Execute CreateDataSourceTableAsSelectCommand CreateDataSourceTableAsSelectCommand `dev`, ErrorIfExists, [ws_item_sk#2, i_item_sk#6]
+- *(5) SortMergeJoin [ws_item_sk#2], [i_item_sk#6], Inner
:- *(2) Sort [ws_item_sk#2 ASC NULLS FIRST], false, 0
: +- Exchange hashpartitioning(ws_item_sk#2, 10)
: +- *(1) Project [ws_item_sk#2]
: +- *(1) Filter isnotnull(ws_item_sk#2)
: +- *(1) FileScan parquet tpcds10.web_sales_bucketed[ws_item_sk#2] Batched: true, Format: Parquet, Location:...
+- *(4) Sort [i_item_sk#6 ASC NULLS FIRST], false, 0
+- Exchange hashpartitioning(i_item_sk#6, 10)
+- *(3) Project [i_item_sk#6]
+- *(3) Filter isnotnull(i_item_sk#6)
+- *(3) FileScan parquet tpcds10.item[i_item_sk#6] Batched: true, Format: Parquet, Location:...
```
After this patch, no shuffle for the buckted table and item table is shuffled with web_sales_bucketed's bucket number(4 partitions).
```
Execute CreateDataSourceTableAsSelectCommand CreateDataSourceTableAsSelectCommand `dev`, ErrorIfExists, [ws_item_sk#2, i_item_sk#6]
+- *(4) SortMergeJoin [ws_item_sk#2], [i_item_sk#6], Inner
:- *(1) Sort [ws_item_sk#2 ASC NULLS FIRST], false, 0
: +- *(1) Project [ws_item_sk#2]
: +- *(1) Filter isnotnull(ws_item_sk#2)
: +- *(1) FileScan parquet tpcds10.web_sales_bucketed[ws_item_sk#2] Batched: true, Format: Parquet, Location:...
+- *(3) Sort [i_item_sk#6 ASC NULLS FIRST], false, 0
+- Exchange hashpartitioning(i_item_sk#6, 4)
+- *(2) Project [i_item_sk#6]
+- *(2) Filter isnotnull(i_item_sk#6)
+- *(2) FileScan parquet tpcds10.item[i_item_sk#6] Batched: true, Format: Parquet, Location:...
```
This problem could be worse if we enable the adaptive execution, it usually perfers a big shuffle.parititon.
## How was this patch tested?
Manually test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yucai/spark avoid_shuffle
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/21391.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #21391
----
commit 21a31c83ed42d45750aafae738a2ae945ea18844
Author: yucai <yy...@...>
Date: 2018-05-22T04:20:53Z
[SPARK-24343][SQL] Avoid shuffle for the bucketed table when shuffle.partition > bucket number
----
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retest this please
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