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This repository has been archived by the owner on Mar 29, 2023. It is now read-only.
There is now an optional parameter on to_dataframe to pass in a BigQuery Storage client for faster reads of large query results. In pandas-gbq, we pass this client in when use_bqstorage_api=True (added in googleapis/python-bigquery-pandas#270). I imagine in Ibis, we'd want to set this option at the initial connection time, as another parameter to ibis.bigquery.connect.
If there's anything I can do on the google-cloud-bigquery package to make this easier, I'd be glad to hear it.
The text was updated successfully, but these errors were encountered:
See: https://cloud.google.com/bigquery/docs/bigquery-storage-python-pandas
There is now an optional parameter on
to_dataframe
to pass in a BigQuery Storage client for faster reads of large query results. In pandas-gbq, we pass this client in whenuse_bqstorage_api=True
(added in googleapis/python-bigquery-pandas#270). I imagine in Ibis, we'd want to set this option at the initial connection time, as another parameter toibis.bigquery.connect
.If there's anything I can do on the
google-cloud-bigquery
package to make this easier, I'd be glad to hear it.The text was updated successfully, but these errors were encountered: