Managing Tables ~~~~~~~~~~~~~~~ Tables exist within datasets. See BigQuery documentation for more information on `Tables `_. Listing Tables ^^^^^^^^^^^^^^ List the tables belonging to a dataset with the :func:`~google.cloud.bigquery.client.Client.list_tables` method: .. literalinclude:: ../samples/list_tables.py :language: python :dedent: 4 :start-after: [START bigquery_list_tables] :end-before: [END bigquery_list_tables] Getting a Table ^^^^^^^^^^^^^^^ Get a table resource with the :func:`~google.cloud.bigquery.client.Client.get_table` method: .. literalinclude:: ../samples/get_table.py :language: python :dedent: 4 :start-after: [START bigquery_get_table] :end-before: [END bigquery_get_table] Determine if a table exists with the :func:`~google.cloud.bigquery.client.Client.get_table` method: .. literalinclude:: ../samples/table_exists.py :language: python :dedent: 4 :start-after: [START bigquery_table_exists] :end-before: [END bigquery_table_exists] Browse data rows in a table with the :func:`~google.cloud.bigquery.client.Client.list_rows` method: .. literalinclude:: ../samples/browse_table_data.py :language: python :dedent: 4 :start-after: [START bigquery_browse_table] :end-before: [END bigquery_browse_table] Creating a Table ^^^^^^^^^^^^^^^^ Create an empty table with the :func:`~google.cloud.bigquery.client.Client.create_table` method: .. literalinclude:: ../samples/create_table.py :language: python :dedent: 4 :start-after: [START bigquery_create_table] :end-before: [END bigquery_create_table] Create a table using an external data source with the :func:`~google.cloud.bigquery.client.Client.create_table` method: .. literalinclude:: ../samples/snippets/create_table_external_data_configuration.py :language: python :dedent: 4 :start-after: [START bigquery_create_table_external_data_configuration] :end-before: [END bigquery_create_table_external_data_configuration] Create a clustered table with the :func:`~google.cloud.bigquery.client.Client.create_table` method: .. literalinclude:: ../samples/create_table_clustered.py :language: python :dedent: 4 :start-after: [START bigquery_create_table_clustered] :end-before: [END bigquery_create_table_clustered] Create an integer range partitioned table with the :func:`~google.cloud.bigquery.client.Client.create_table` method: .. literalinclude:: ../samples/create_table_range_partitioned.py :language: python :dedent: 4 :start-after: [START bigquery_create_table_range_partitioned] :end-before: [END bigquery_create_table_range_partitioned] Load table data from a file with the :func:`~google.cloud.bigquery.client.Client.load_table_from_file` method: .. literalinclude:: ../samples/load_table_file.py :language: python :dedent: 4 :start-after: [START bigquery_load_from_file] :end-before: [END bigquery_load_from_file] Creating a clustered table from a query result: .. literalinclude:: ../samples/client_query_destination_table_clustered.py :language: python :dedent: 4 :start-after: [START bigquery_query_clustered_table] :end-before: [END bigquery_query_clustered_table] Creating a clustered table when you load data with the :func:`~google.cloud.bigquery.client.Client.load_table_from_uri` method: .. literalinclude:: ../samples/load_table_clustered.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_clustered] :end-before: [END bigquery_load_table_clustered] Load a CSV file from Cloud Storage with the :func:`~google.cloud.bigquery.client.Client.load_table_from_uri` method: .. literalinclude:: ../samples/load_table_uri_csv.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_csv] :end-before: [END bigquery_load_table_gcs_csv] See also: `Loading CSV data from Cloud Storage `_. Load a JSON file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_json.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_json] :end-before: [END bigquery_load_table_gcs_json] See also: `Loading JSON data from Cloud Storage `_. Load a Parquet file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_parquet.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_parquet] :end-before: [END bigquery_load_table_gcs_parquet] See also: `Loading Parquet data from Cloud Storage `_. Load an Avro file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_avro.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_avro] :end-before: [END bigquery_load_table_gcs_avro] See also: `Loading Avro data from Cloud Storage `_. Load an ORC file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_orc.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_orc] :end-before: [END bigquery_load_table_gcs_orc] See also: `Loading ORC data from Cloud Storage `_. Load a CSV file from Cloud Storage and auto-detect schema: .. literalinclude:: ../samples/load_table_uri_autodetect_csv.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_csv_autodetect] :end-before: [END bigquery_load_table_gcs_csv_autodetect] Load a JSON file from Cloud Storage and auto-detect schema: .. literalinclude:: ../samples/load_table_uri_autodetect_json.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_json_autodetect] :end-before: [END bigquery_load_table_gcs_json_autodetect] Updating a Table ^^^^^^^^^^^^^^^^ Update a property in a table's metadata with the :func:`~google.cloud.bigquery.client.Client.update_table` method: .. literalinclude:: ../snippets.py :language: python :dedent: 4 :start-after: [START bigquery_update_table_description] :end-before: [END bigquery_update_table_description] Insert rows into a table's data with the :func:`~google.cloud.bigquery.client.Client.insert_rows` method: .. literalinclude:: ../samples/table_insert_rows.py :language: python :dedent: 4 :start-after: [START bigquery_table_insert_rows] :end-before: [END bigquery_table_insert_rows] Insert rows into a table's data with the :func:`~google.cloud.bigquery.client.Client.insert_rows` method, achieving higher write limit: .. literalinclude:: ../samples/table_insert_rows_explicit_none_insert_ids.py :language: python :dedent: 4 :start-after: [START bigquery_table_insert_rows_explicit_none_insert_ids] :end-before: [END bigquery_table_insert_rows_explicit_none_insert_ids] Mind that inserting data with ``None`` row insert IDs can come at the expense of more duplicate inserts. See also: `Streaming inserts `_. Add an empty column to the existing table with the :func:`~google.cloud.bigquery.update_table` method: .. literalinclude:: ../samples/add_empty_column.py :language: python :dedent: 4 :start-after: [START bigquery_add_empty_column] :end-before: [END bigquery_add_empty_column] Copying a Table ^^^^^^^^^^^^^^^ Copy a table with the :func:`~google.cloud.bigquery.client.Client.copy_table` method: .. literalinclude:: ../samples/copy_table.py :language: python :dedent: 4 :start-after: [START bigquery_copy_table] :end-before: [END bigquery_copy_table] Copy table data to Google Cloud Storage with the :func:`~google.cloud.bigquery.client.Client.extract_table` method: .. literalinclude:: ../snippets.py :language: python :dedent: 4 :start-after: [START bigquery_extract_table] :end-before: [END bigquery_extract_table] Deleting a Table ^^^^^^^^^^^^^^^^ Delete a table with the :func:`~google.cloud.bigquery.client.Client.delete_table` method: .. literalinclude:: ../samples/delete_table.py :language: python :dedent: 4 :start-after: [START bigquery_delete_table] :end-before: [END bigquery_delete_table] Restoring a Deleted Table ^^^^^^^^^^^^^^^^^^^^^^^^^ Restore a deleted table from a snapshot by using the :func:`~google.cloud.bigquery.client.Client.copy_table` method: .. literalinclude:: ../samples/undelete_table.py :language: python :dedent: 4 :start-after: [START bigquery_undelete_table] :end-before: [END bigquery_undelete_table] Overwrite a Table ^^^^^^^^^^^^^^^^^ Replace the table data with an Avro file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_truncate_avro.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_avro_truncate] :end-before: [END bigquery_load_table_gcs_avro_truncate] Replace the table data with a CSV file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_truncate_csv.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_csv_truncate] :end-before: [END bigquery_load_table_gcs_csv_truncate] Replace the table data with a JSON file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_truncate_json.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_json_truncate] :end-before: [END bigquery_load_table_gcs_json_truncate] Replace the table data with an ORC file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_truncate_orc.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_orc_truncate] :end-before: [END bigquery_load_table_gcs_orc_truncate] Replace the table data with a Parquet file from Cloud Storage: .. literalinclude:: ../samples/load_table_uri_truncate_parquet.py :language: python :dedent: 4 :start-after: [START bigquery_load_table_gcs_parquet_truncate] :end-before: [END bigquery_load_table_gcs_parquet_truncate]