use faster query_and_wait method when available to skip BQ Storage API if all query results are already available
#710
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api: bigquery
Issues related to the googleapis/python-bigquery-pandas API.
type: feature request
‘Nice-to-have’ improvement, new feature or different behavior or design.
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This prepares the way for using the `query_and_wait` method built-in to the client library when available. Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://togithub.com/googleapis/python-bigquery-pandas/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Towards #710 🦕
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Similar to googleapis/python-bigquery#1745, pandas-gbq should benefit from the optimizations done in googleapis/python-bigquery#589.
This might require a progress bar feature in
query_and_waitif we want to keep the progress bar for waiting for the query to finish, but we need to be careful when introducing such a progress bar to avoid timing out API requests too soon.The text was updated successfully, but these errors were encountered: