google-bigquery

问题 Is there a way to delete a bigquery table only after all the steps in a batch dataflow pipeline have succeeded? 回答1: You can use DataflowPipelineJob.waitToFinish(...) to wait for your job to finish, check that the returned state was DONE, and then use the BigQuery API to delete the table. 来源： https://stackoverflow.com/questions/41774664/delete-a-bigquery-table-after-all-the-steps-in-dataflow-job-have-completed

问题 we have a data set in Big Query with more than 500000 tables, when we run queries against this data set using legacy SQL, its throwing an error As per Jordan Tigani, it executes SELECT table_id FROM . TABLES_SUMMARY to get relevant tables to query How do I use the TABLE_QUERY() function in BigQuery? Does queries using _TABLE_SUFFIX(standard SQL) executes TABLES_SUMMARY to get relevant tables to query? 回答1: According to the documentation TABLE_SUFFIX is a pseudo column that contains the values

问题 We have a table in Big Query like below. Input table: Name | Interests -----+---------- Bob | ["a"] Sue | ["a","b"] Joe | ["b","c"] We want to convert the above table to below format to make it BI/Visualisation friendly. Target/Required table: +------------------+ | Name | a | b | c | +------------------+ | Bob | 1 | 0 | 0 | | Sue | 1 | 1 | 0 | | Joe | 0 | 1 | 0 | +------------------+ Note: The Interests column is an array datatype. Is this sort of transformation possible in Big Query? If yes

问题 We have a table in Big Query like below. Input table: Name | Interests -----+---------- Bob | ["a"] Sue | ["a","b"] Joe | ["b","c"] We want to convert the above table to below format to make it BI/Visualisation friendly. Target/Required table: +------------------+ | Name | a | b | c | +------------------+ | Bob | 1 | 0 | 0 | | Sue | 1 | 1 | 0 | | Joe | 0 | 1 | 0 | +------------------+ Note: The Interests column is an array datatype. Is this sort of transformation possible in Big Query? If yes

问题 Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 months ago . Improve this question I have access to a project within BigQuery. I'm looking to create a partitioned table by ingestion time, partitioned by day, then set up a BigQuery Data Transfers process that brings avro files in from multiple directories within a Google Cloud Storage Bucket.

问题 Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 months ago . Improve this question I have access to a project within BigQuery. I'm looking to create a partitioned table by ingestion time, partitioned by day, then set up a BigQuery Data Transfers process that brings avro files in from multiple directories within a Google Cloud Storage Bucket.

问题 I am trying to setup a schedule job/process in cloud to load csv data into Bigquery from google buckets using a python script. I have manage to get hold off the python code to do this but not sure where do I need to save this code so that this task could be completed as an automated process rather than running the gsutil commands manualy. 回答1: Reliable Task Scheduling on Google Compute Engine | Solutions | Google Cloud Platform, the 1st link in Google on "google cloud schedule a cron job",

问题 I am trying to export the results of a query in BigQuery, and get the data into Postgres. The data may be as much 250 million record, ~26Gb. Option 1: Save query results to a temp table Export table to csv(s) Bulk upsert to postgres (This will be slow) Option 2: Somehow get the two DBs to speak directly I don't know if this is possible Thank you for any information!!! 回答1: This BigQuery Foreign Data Wrapper for postgreSQL allows you to query BigQuery directly from within PostgreSQL. Using

问题 I am trying to export the results of a query in BigQuery, and get the data into Postgres. The data may be as much 250 million record, ~26Gb. Option 1: Save query results to a temp table Export table to csv(s) Bulk upsert to postgres (This will be slow) Option 2: Somehow get the two DBs to speak directly I don't know if this is possible Thank you for any information!!! 回答1: This BigQuery Foreign Data Wrapper for postgreSQL allows you to query BigQuery directly from within PostgreSQL. Using

问题 I am trying to export the results of a query in BigQuery, and get the data into Postgres. The data may be as much 250 million record, ~26Gb. Option 1: Save query results to a temp table Export table to csv(s) Bulk upsert to postgres (This will be slow) Option 2: Somehow get the two DBs to speak directly I don't know if this is possible Thank you for any information!!! 回答1: This BigQuery Foreign Data Wrapper for postgreSQL allows you to query BigQuery directly from within PostgreSQL. Using