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* pages*: remove = from GNU-style long options * 7z: readd needed = * 7za: add missing = * 7zr: fix argument and option separation * astyle: readd missing = * aws-ecr: readd missing = * az-devops: readd missing = * csslint: readd missing = * cs-fetch: readd missing = * bzgrep: readd missing = * chromium: readd missing = * docker-commit: remove unnecessary = * docker-system: remove unnecessary = * docker-ps: remove unnecessary = * dockerd: remove unnecessary = * 7za: readd missing = * 7zr: readd missing = * chromium.de: readd missing = * chromium.de: readd missing = * bundletool: remove additional space Co-authored-by: Nicolas Kosinski <nicokosi@users.noreply.github.com> --------- Co-authored-by: Sebastiaan Speck <12570668+sebastiaanspeck@users.noreply.github.com> Co-authored-by: Nicolas Kosinski <nicokosi@users.noreply.github.com>
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bq
A Python-based tool for BigQuery, Google Cloud's fully managed and completely serverless enterprise data warehouse. More information: https://cloud.google.com/bigquery/docs/reference/bq-cli-reference.
- Run query against a BigQuery table using standard SQL, add
--dry_runflag to estimate the number of bytes read by the query:
bq query --nouse_legacy_sql 'SELECT COUNT(*) FROM {{DATASET_NAME}}.{{TABLE_NAME}}'
- Run 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)'
- Create a new dataset or table in the US location:
bq mk --location=US {{dataset_name}}.{{table_name}}
- List all datasets in a project:
bq ls --filter labels.{{key}}:{{value}} --max_results {{integer}} --format=prettyjson --project_id {{project_id}}
- Batch 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|JSON|PARQUET|AVRO}} {{dataset}}.{{table}} {{path_to_source}}
- Copy one table to another:
bq cp {{dataset}}.{{OLD_TABLE}} {{dataset}}.{{new_table}}
- Display help:
bq help