TLDR
Enter a command. For example: pio home, salt, iverilog, orca c.

bq

 
The bq command-line tool is a Python-based command-line tool for BigQuery. More information: https://cloud.google.com/bigquery/docs/reference/bq-cli-reference.
 
  • Run query against a BigQuery table using standard SQL, add --dry_run flag 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}}
     
  • Print help:
     
    bq help

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