Running Amazon Athena queries - AWS Data Exports

Running Amazon Athena queries

To run Athena queries on your data, first use the Athena console to check whether AWS is refreshing your data and then run your query on the Athena console. When you run your SQL, make sure that the correct database is selected from the dropdown list. You can use the following SQL to check the status.

select status from cost_and_usage_data_status

The two possible results are READY and UPDATING. If the status is READY, then you can query your Athena database. If the status is UPDATING, then Athena might return incomplete results.

After you've confirmed that AWS is refreshing your data, you can run your own queries. For example, the following query shows year-to-date costs by service for each month in the example database called mycostandusage_parquet. The following query shows 2018 year-to-date costs. Update the year to see current year-to-date costs.

SELECT line_item_product_code, sum(line_item_blended_cost) AS cost, month FROM mycostandusage_parquet WHERE year='2018' GROUP BY line_item_product_code, month HAVING sum(line_item_blended_cost) > 0 ORDER BY line_item_product_code;

Column names

Athena column name restrictions are different from the Cost and Usage Reports column name restrictions. This means that when your AWS CUR data is uploaded into an Athena table, the column names change. AWS makes the following changes:

  • An underscore is added in front of uppercase letters

  • Uppercase letters are replaced with lowercase letters

  • Any non-alphanumeric characters are replaced with an underscore

  • Duplicate underscores are removed

  • Any leading and trailing underscores are removed

  • If the column name is longer than the allowed length of column names, underscores are removed from left to right


After applying these rules, some of the resource tag columns will have duplicate names. AWS merges columns when there are more than one columns with the same name.

As examples, the column name ExampleColumnName becomes example_column_name, and the column name Example Column Name becomes example_column_name.