bq
A Python-based tool for BigQuery, Google Cloud's fully managed and completely serverless enterprise data warehouse. tldr-pages
On several platforms
Several platforms
Simulate a query against a BigQuery table using standard SQL, to estimate the number of bytes it would read
bq query --nouse_legacy_sql --dry_run 'SELECT COUNT(*) FROM DATASET_NAME.TABLE_NAME'IdentifyRun a parameterized query
bq query --use_legacy_sql=false --parameter='ts_value:TIMESTAMP:2016-12-07 08:00:00' 'SELECT TIMESTAMP_ADD(@ts_value, INTERVAL 1 HOUR)'IdentifyCreate a new dataset or table in the US location
bq mk --location=US dataset_name.table_nameIdentifyList all datasets in a project
bq ls --filter labels.key:value --max_results integer --format=prettyjson --project_id project_idIdentifyBatch load data from a specific file in formats such as CSV, JSON, Parquet, and Avro to a table
bq load --location location --source_format CSV dataset.table path/to/sourceIdentifyCopy one table to another
bq cp dataset.OLD_TABLE dataset.new_tableIdentifyDisplay help
bq helpIdentify