Bigquery query to find the column names of a table
Yes you can get table metadata using INFORMATION_SCHEMA.
One of the examples mentioned in the past link retrieves metadata from the INFORMATION_SCHEMA.COLUMN_FIELD_PATHS
view for the commits table in the github_repos dataset, you just have to
Open the BigQuery web UI in the GCP Console.
Enter the following standard SQL query in the Query editor box. INFORMATION_SCHEMA requires standard SQL syntax. Standard SQL is the default syntax in the GCP Console.
SELECT * FROM `bigquery-public-data`.github_repos.INFORMATION_SCHEMA.COLUMN_FIELD_PATHS WHERE table_name="commits" AND column_name="author" OR column_name="difference"
Note: INFORMATION_SCHEMA view names are case-sensitive.
- Click Run.
The results should look like the following
+------------+-------------+---------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+-------------+
| table_name | column_name | field_path | data_type | description |
+------------+-------------+---------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+-------------+
| commits | author | author | STRUCT<name STRING, email STRING, time_sec INT64, tz_offset INT64, date TIMESTAMP> | NULL |
| commits | author | author.name | STRING | NULL |
| commits | author | author.email | STRING | NULL |
| commits | author | author.time_sec | INT64 | NULL |
| commits | author | author.tz_offset | INT64 | NULL |
| commits | author | author.date | TIMESTAMP | NULL |
| commits | difference | difference | ARRAY<STRUCT<old_mode INT64, new_mode INT64, old_path STRING, new_path STRING, old_sha1 STRING, new_sha1 STRING, old_repo STRING, new_repo STRING>> | NULL |
| commits | difference | difference.old_mode | INT64 | NULL |
| commits | difference | difference.new_mode | INT64 | NULL |
| commits | difference | difference.old_path | STRING | NULL |
| commits | difference | difference.new_path | STRING | NULL |
| commits | difference | difference.old_sha1 | STRING | NULL |
| commits | difference | difference.new_sha1 | STRING | NULL |
| commits | difference | difference.old_repo | STRING | NULL |
| commits | difference | difference.new_repo | STRING | NULL |
+------------+-------------+---------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+-------------+
BigQuery now supports information schema.
Suppose you have a dataset named MY_PROJECT.MY_DATASET and a table named MY_TABLE, then you can run the following query:
SELECT column_name
FROM MY_PROJECT.MY_DATASET.INFORMATION_SCHEMA.COLUMNS
WHERE table_name = 'MY_TABLE'
For newbies like me, the above is of the following syntax:
select * from project_name.dataset_name.INFORMATION_SCHEMA.COLUMNS where table_catalog=project_name and table_schema=dataset_name and table_name=table_name