| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
|
|
| def nested_schema(table_id: str) -> None: |
| orig_table_id = table_id |
| |
| from google.cloud import bigquery |
|
|
| client = bigquery.Client() |
|
|
| |
| table_id = "your-project.your_dataset.your_table_name" |
|
|
| schema = [ |
| bigquery.SchemaField("id", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("first_name", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("last_name", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("dob", "DATE", mode="NULLABLE"), |
| bigquery.SchemaField( |
| "addresses", |
| "RECORD", |
| mode="REPEATED", |
| fields=[ |
| bigquery.SchemaField("status", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("address", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("city", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("state", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("zip", "STRING", mode="NULLABLE"), |
| bigquery.SchemaField("numberOfYears", "STRING", mode="NULLABLE"), |
| ], |
| ), |
| ] |
| |
|
|
| table_id = orig_table_id |
|
|
| |
| table = bigquery.Table(table_id, schema=schema) |
| table = client.create_table(table) |
|
|
| print(f"Created table {table.project}.{table.dataset_id}.{table.table_id}.") |
| |
|
|