google-bigquery

来源： https://stackoverflow.com/questions/63571850/how-to-check-whether-data-exists-in-specific-column-on-bigquery-with-flask

来源： https://stackoverflow.com/questions/63571850/how-to-check-whether-data-exists-in-specific-column-on-bigquery-with-flask

来源： https://stackoverflow.com/questions/63567999/adding-up-header-information-while-querying-detailed-information

来源： https://stackoverflow.com/questions/59687796/how-to-schedule-an-export-from-a-bigquery-table-to-cloud-storage

来源： https://stackoverflow.com/questions/59687796/how-to-schedule-an-export-from-a-bigquery-table-to-cloud-storage

来源： https://stackoverflow.com/questions/42567564/bigquery-window-order-by-is-not-allowed-if-distinct-is-specified

来源： https://stackoverflow.com/questions/51610880/special-characters-when-importing-from-bigquery-to-r

问题 I have a table with the log data and I want to update it with the results from the subsequent query which will insert the results against the filtered row. I want to use a union all to keep the current values and append the new ones but I get the following error: Correlated subqueries that reference other tables are not supported unless they can be de-correlated, such as by transforming them into an efficient JOIN. UPDATE LOGGING.table_logs a SET a.pinged = ARRAY( (SELECT AS STRUCT CURRENT

问题 In my pipeline I use WriteToBigQuery something like this: | beam.io.WriteToBigQuery( 'thijs:thijsset.thijstable', schema=table_schema, write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND, create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED) This returns a Dict as described in the documentation as follows: The beam.io.WriteToBigQuery PTransform returns a dictionary whose BigQueryWriteFn.FAILED_ROWS entry contains a PCollection of all the rows that failed to be written. How

问题 In my pipeline I use WriteToBigQuery something like this: | beam.io.WriteToBigQuery( 'thijs:thijsset.thijstable', schema=table_schema, write_disposition=beam.io.BigQueryDisposition.WRITE_APPEND, create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED) This returns a Dict as described in the documentation as follows: The beam.io.WriteToBigQuery PTransform returns a dictionary whose BigQueryWriteFn.FAILED_ROWS entry contains a PCollection of all the rows that failed to be written. How