In this article, we will explore three common methods for working with BigQuery and exporting JSON. Data Export Options, Method 1 Cloud Console, In the Google Cloud Console, within every table detail view, there is an "Export" button that provides a means to export data to a Google Cloud Storage bucket in CSV, JSON, or Apache Avro formats. Feature Request Support for building CREATE OR REPLACE EXTERNAL TABLE statements &183; Issue 372 &183; googleapispython-bigquery-sqlalchemy &183; GitHub. GrowthBook just needs you to write a couple SQL queries in order to query your data. Writing this SQL is a (mostly) one-time setup task. After building out this library of queries, they can easily be reused across many experiments. Dont worry about the potentially huge number of rows returned by these raw queries. BigQuery Subscription Incompatible Schema using proto3 and BigQuery Subscriber. Hi all,it seems like there is an issuebug using proto3 for the Cloud PubSub Topic Schema definition together. Following is the syntax of an explode function in PySpark and it is same in Scala as well. SQL bq. Use the CREATE TABLE statement and declare a column with the JSON type. In the Google.