Connecting Column Based Time Partitioned BigQuery Table In Data Studio

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Connecting Column Based Time Partitioned BigQuery Table In Data Studio



We have a real-time streaming column based time partitioned table in the big-query (with no _partitiontime pseudo-column) from which we wanted to build reports using Google data studio.


_partitiontime



When selecting the time-partitioned tables in the big query connector, it shows the following:



bigquery data studio table connector



When Use _PARTITIONTIME as time dimension is not checked:


Use _PARTITIONTIME as time dimension



The time-based query generated by data studio does a full-scan on big query table increasing our query costs.



data studio query



The same query auto-generated from data studio but using partitioning field manually in the WebUI as follows:



modified query



In the big query data connector, when Use _PARTITIONTIME as time dimension is checked


Use _PARTITIONTIME as time dimension



It returns the following error for building charts:



_partitiontime error



As of now, the reports are built using custom queries & views for limited timeframes. I understand the data-studio product & big query column based time partitioning is still in beta



What are the best practices to connect column based time partitioned big query fields in data-studio?









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