python-bigquery-pandas
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Google BigQuery connector for pandas
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This PR contains the following updates: | Package | Change | [Age](https://docs.renovatebot.com/merge-confidence/) | [Confidence](https://docs.renovatebot.com/merge-confidence/) | |---|---|---|---| | [google-cloud-bigquery-storage](https://redirect.github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-bigquery-storage) ([source](https://redirect.github.com/googleapis/google-cloud-python)) | `==2.33.1` -> `==2.35.0` |  |  | | [google-cloud-testutils](https://redirect.github.com/googleapis/python-test-utils)...
This change allows the user to run a [dry run query](https://docs.cloud.google.com/bigquery/docs/samples/bigquery-query-dry-run?hl=en) using the `read_gbq` function. Instead of returning a `pd.DataFrame`, the behavior is changed and the amount of data processed...
Hello, BigQuery Job has now 4 write dispositions : WRITE_EMPTY, WRITE_TRUNCATE, WRITE_APPEND and WRITE_TRUNCATE_DATA Currently in pandas-gbq WRITE_EMPTY, WRITE_TRUNCATE, and WRITE_APPEND are implemented in pandas_gbq.to_gbq(). ==> Is it possible to...