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I want to calculate table wise cost for Google Big Query Storage, But i don't know how to view size of storage for each table individually.
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Just use the command-line tool. You will see the table with columns such as Last-Modified, Schema, Total Rows, Total Bytes and so forth.
To retrieve table metadata by using INFORMATION_SCHEMA tables, you will need to have any of the following Identity and Access Management (IAM) roles that give you the necessary permissions: roles/bigquery. admin. roles/bigquery.
If your external data is stored in ORC or Parquet, the number of bytes charged is limited to the columns that BigQuery reads. Because the data types from an external data source are converted to BigQuery data types by the query, the number of bytes read is computed based on the size of BigQuery data types.
You can export up to 1 GB of table data to a single file. For larger tables, the results are written to multiple files. Use the BigQuery Storage Read API.
Another best practice is using BigQuery’s table partitioning and clustering features to structure your data to match common data access patterns. A partitioned table is a special table that is divided into segments, called partitions, that make it easier to manage and query your data.
BigQuery Datasets/Tables — to check their size, across multiple projects AppScript — to handle the code and schedule the checks to run automatically BigQuery table — to store what we collected, if we don’t want to use Sheets Google Sheet — to store what we collected, if we don’t want to use BQ Let’s get started.
If you have a table or partition modified in the last 90 days, it is considered as active storage and incurs a monthly charge for data stored at BigQuery storage rates.
Run the job_get_bq_stats () function, and wait a few seconds (depending on how many tables you’re checking). After the function finished executing, you can check either your BigQuery table, or your google sheet to see the results.
Or from the GUI, you can use the metadata internal table __TABLES__ , for example this will give you the size in GB:
select sum(size_bytes)/pow(10,9) as size from <your_dataset>.__TABLES__ where table_id = '<your_table>' If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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