从 Big Query 到 Google 云存储

Question

I like to export data from Big query to Google cloud storage using any script. Also for multiple table using loop save in CSV format and overwrite existing file.

Also how can we schedule this script.

If anybody have answer that will be great help.

Thanks in advance

Answer 1

Common way to approach this problem is to use Airflow and write a DAG to meet your requirements.

But if you want to iterate tables and dump them in GCS on a regular basis only with BigQuery, following could be another option.

1. Export Data

You can export data to GCS with EXPORT DATA statement in BigQuery script.

EXPORT DATA OPTIONS(
  uri='gs://bucket/folder/*.csv',
  format='CSV',
  overwrite=true,
  header=true,
  field_delimiter=';') AS
SELECT field1, field2 FROM mydataset.table1 ORDER BY field1 LIMIT 10

• https://cloud.google.com/bigquery/docs/reference/standard-sql/other-statements

2. Loops and Dynamic SQL

If you have a list of table you want to dump, you can loop those tables in BigQuery FOR loop.

• https://cloud.google.com/bigquery/docs/reference/standard-sql/procedural-language#loops

And you need to generate EXPORT DATA script dynamically for each table. To do so, you can use EXECUTE IMMEDIATE Dynamic SQL.

• https://cloud.google.com/bigquery/docs/reference/standard-sql/procedural-language#execute_immediate

3. Scheduling

BigQuery provides a feature to schedule a user query and you can use it for your purpose.

• https://cloud.google.com/bigquery/docs/scheduling-queries#set_up_scheduled_queries