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+# 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`