Connector Google BigQuery

Google BigQuery connector is used to enable programmatic read/write access to BigQuery. 

Google BigQuery provide easy solution to load data from Google BigQuery to Keboola Connection.

Main functionality

• execute query in BigQuery
• extract query result to Cloud Storage
• download extracted data from Cloud Storage
• cleanup Cloud Storage of extracted data

Data In

Data Out

Parameters

The Google section

Project

• projectId ID (required)- ID of the BigQuery project that will be billed for the job
job.
• storage

  Storage (required)- - URI of existing Google Cloud Storage bucket, where data will be exported

exported.

• location (optional, default US) - The geographic location where the job should run and source data exists.

 

The Query section defines queries used to fetch data

• • name - query name
  • query - query in BigQuery Syntax (https://cloud.google.com/bigquery/query-reference)
  • useLegacySql (optional) - Use legacy SQL to run query. Set false to use standard SQL (default is true) (https://cloud.google.com/bigquery/docs/reference/standard-sql/)
  • flattenResults - (optional) Flattens all nested and repeated fields in the query results. (default is true)
  • outputTable (optional) - destination table ID in Keboola Connection (if empty, will be generated automatically from query name)
  • primaryKey (optional) - primary key in Keboola Connection
  • incremental (optional) - use incremental import to Keboola Connection (default is false)
  • enabled (optional) - process extraction of this query (default is true)

Google is slicing large results to multiple files. Primary key should be defined.