[SPARK-10389][SQL] support order by non-attribute grouping expression on Aggregate#8548
Closed
cloud-fan wants to merge 2 commits into
Closed
[SPARK-10389][SQL] support order by non-attribute grouping expression on Aggregate#8548cloud-fan wants to merge 2 commits into
cloud-fan wants to merge 2 commits into
Conversation
|
Test build #41861 has finished for PR 8548 at commit
|
|
Test build #41930 has finished for PR 8548 at commit
|
Contributor
Author
|
cc @marmbrus |
markhamstra
pushed a commit
to markhamstra/spark
that referenced
this pull request
Oct 9, 2015
…n on Aggregate For example, we can write `SELECT MAX(value) FROM src GROUP BY key + 1 ORDER BY key + 1` in PostgreSQL, and we should support this in Spark SQL. Author: Wenchen Fan <cloud0fan@outlook.com> Closes apache#8548 from cloud-fan/support-order-by-non-attribute.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
For example, we can write
SELECT MAX(value) FROM src GROUP BY key + 1 ORDER BY key + 1in PostgreSQL, and we should support this in Spark SQL.