Skip to content

Conversation

@wangbo
Copy link
Contributor

@wangbo wangbo commented Jun 24, 2021

Proposed changes

see #6009

Types of changes

What types of changes does your code introduce to Doris?
Put an x in the boxes that apply

  • Bugfix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Documentation Update (if none of the other choices apply)
  • Code refactor (Modify the code structure, format the code, etc...)

Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your code.

  • [x ] I have created an issue on (Fix [Spark Load]Got incorrect bucket when distributed by int #6009) and described the bug/feature there in detail
  • Compiling and unit tests pass locally with my changes
  • I have added tests that prove my fix is effective or that my feature works
  • If these changes need document changes, I have updated the document
  • Any dependent changes have been merged

Further comments

If this is a relatively large or complex change, kick off the discussion at dev@doris.apache.org by explaining why you chose the solution you did and what alternatives you considered, etc...

@morningman morningman added area/spark-load Issues or PRs related to the spark load kind/fix Categorizes issue or PR as related to a bug. labels Jun 28, 2021
Copy link
Contributor

@morningman morningman left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

area/spark-load Issues or PRs related to the spark load kind/fix Categorizes issue or PR as related to a bug.

Projects

None yet

Development

Successfully merging this pull request may close these issues.

[Spark Load]Got incorrect bucket when distributed by int

2 participants