feat: add dry run to the read_gbq function #979
+103
−8
Conversation
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
product-auto-label
bot
added
size: s
shuoweil
added
the
kokoro:force-run
yoshi-kokoro
removed
the
kokoro:force-run
|
@antoineeripret Could you please check the failed tests? Thanks a lot. |
product-auto-label
bot
added
size: m
Contributor
Author
|
@shuoweil , I've added a new commit with some changes to fix tests. I've ran |
Hi @antoineeripret, could you please check the failed check please? It should be a quick fix. Thanks a lot. |
Contributor
Author
|
Hi @shuoweil, the last commit should fix it. Got the following on my local env: python -m black --check docs pandas_gbq tests noxfile.py setup.py
All done! ✨ 🍰 ✨
45 files would be left unchanged. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
4 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Outdated suggestions cannot be applied.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.
This change allows the user to run a dry run query using the
read_gbqfunction. Instead of returning apd.DataFrame, the behavior is changed and the amount of data processed (in GB) is returned.