This repository has been archived by the owner on Sep 26, 2023. It is now read-only.
Add documentation for writing polars dataframes to bigquery #391
Conversation
This file contains 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
stinodego
reviewed
Sep 13, 2023
|
I don't have access to BigQuery right now, so I can't verify this. But it looks fine, so I'll add it for now. Thanks for the addition! We'll add more comprehensive testing for code examples soon. |
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
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Outdated suggestions cannot be applied.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.
There is currently no documentation for writing polars dataframes to bigquery. This pull request suggests an approach that writes the dataframe as a parquet file to a bytes stream (without saving to disk), and then uses the bigquery API to save the parquet file as a bigquery table.