GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/13887
[SPARK-16186][SQL] Support partition batch pruning with `IN` predicate in
InMemoryTableScanExec
## What changes were proposed in this pull request?
One of the most frequent usage patterns for Spark SQL is using **cached
tables**. This PR improves `InMemoryTableScanExec` to handle `IN` predicate
efficiently by pruning partition batches. Of course, the performance
improvement varies over the queries and the datasets. But, for the following
simple query, the query duration in Spark UI goes from 9 seconds to 50~90ms.
It's about 100 times faster.
```scala
$ bin/spark-shell --driver-memory 6G
scala> val df = spark.range(2000000000)
scala> df.createOrReplaceTempView("t")
scala> spark.catalog.cacheTable("t")
scala> sql("select id from t where id = 1").collect() // About 2 mins
scala> sql("select id from t where id = 1").collect() // less than 90ms
scala> sql("select id from t where id in (1,2,3)").collect() // 9 seconds
scala>
spark.conf.set("spark.sql.inMemoryColumnarStorage.partitionPruningMaxInSize",
10) // Enable. (Just to show this examples, currently the default value is 10.)
scala> sql("select id from t where id in (1,2,3)").collect() // less than
90ms
spark.conf.set("spark.sql.inMemoryColumnarStorage.partitionPruningMaxInSize",
0) // Disable
scala> sql("select id from t where id in (1,2,3)").collect() // 9 seconds
```
This PR has impacts over 35 queries of TPC-DS if the tables are cached.
## How was this patch tested?
Pass the Jenkins tests (including new testcases).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-16186
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13887.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 #13887
----
commit 3b36e9cfb033762205900200a2249b8da3ba11bd
Author: Dongjoon Hyun <dongj...@apache.org>
Date: 2016-06-24T08:30:36Z
[SPARK-16186][SQL] Support partition batch pruning with `IN` predicate in
InMemoryTableScanExec
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
