GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/2860
[SPARK-3537][SQL] Refines in-memory columnar table statistics
This PR refines in-memory columnar table statistics:
1. adds 3 more statistics for in-memory table columns: `count`, `nullCount`
and `sizeInBytes`, and filter pushdown support for `IS NULL` and `IS NOT NULL`.
1. caches and propagates statistics in `InMemoryRelation` once the
underlying cached RDD is materialized.
Statistics are collected to driver side with an accumulator.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/liancheng/spark propagates-in-mem-stats
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2860.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 #2860
----
commit 7dc6a34166ad915e07438795ce6b6ea67b3fdee6
Author: Cheng Lian <l...@databricks.com>
Date: 2014-10-20T17:13:59Z
Adds more in-memory table statistics and propagates them properly
----
---
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
