Ryan Lynch

Hi @tswast, I am executing a query that should be returning ~150GB of data and I am getting the following error even when using "use_bqstorage_api=True" in the pandas "read_gbq" function....

Hi @tswast You are right it is a different error, I was just showing an example of the amount of data I could expect to receive from a past issue...

Hi @tswast, I tired your first code suggestion as a test, but it fails to work: `data_frame = pandas_gbq.read_gbq( 'data-project-id.dataset_id.table_id', project_id='billing-project-id', )` Error: "Reason: 400 Syntax error: Expected end of...

Hi @tswast, ah looks like I am using version 0.16.0. Thanks!

Hi @tswast, If I know my query will exceed the "max query response size" and I will have to specify a destination table to write the results to, do you...

+1 for DateTime support instead of just Timestamp. Currently all my DateTime columns are being uploaded as Timestamps with the to_gbq function unless I specify the column is of type...

Hi All, I think I am seeing similar behavior with the metadata.reflect(extend_existing=True) command as well in the form of duplicate columns. If I understand this thread correctly, this behavior is...

Hi @zzzeek, To give some context, the main reason why I am implementing SQLalchemy table schemas for already existing tables is because I am using Google BigQuery which does not...

Hi @zzzeek, Running your code with the only change of making sure the dataclass version of bios is type VARCHAR, I am seeing the behavior I am describing where there...

> No need to implement it a third/4th time. There are two solutions you could contribute to: > > * https://github.com/marcelotrevisani/orko > * https://github.com/Quansight-Labs/beni Thats still not equivalent to native...