Athena query result location. They must have access to the location for query results, and to the workgroup in which they want Athena コンソールを使用してクエリを実行する場合は、ナビゲーションバーの [Settings] (設定) で入力した [Query result location] (クエリ結果の場所) がクライアント側の設定を決定します。 Athena needs an S3 location to save the query results to. The ResultConfiguration parameter is mandatory. You Figure 1. Please check your S3 location is correct and is in the same region and try again. For more information, see Query Results in the You now have a default data retention policy of 5 days for the Athena query output, and you can change this to meet your organization’s data Now that you have the cloudfront_logs table created in Athena based on the data in Amazon S3, you can run SQL queries on the table and see the results in The Amazon S3 canned ACL that Athena should specify when storing query results, including data files inserted by Athena as the result of statements like CTAS or INSERT INTO. For information about creating a table, see Creating Tables in Amazon Athena in the Amazon Athena User Guide. Athena stores data files created by the CTAS statement in Description ¶ Streams the results of a single query execution specified by QueryExecutionId from the Athena query results location in Amazon S3. Replace abc1234d-5efg-67hi-jklm Today I stumbled onto an AWS feature and no, it's not the S3 file system everyone's been talking about. To create a query output location Using the same AWS Region and account that you are using for Athena, follow the steps (for example, by using the Amazon S3 console) to create a bucket in Files are saved to the query result location in Amazon S3 based on the name of the query, the query ID, and the date that the query ran. In athena workgroup i can see my s3 bucket name in query Please assist me if anybody knows how to set Athena Query result location via Terraform My code looks like below (オプション) Simple Storage Service (Amazon S3) に保存されているクエリ結果を暗号化するには、 [Encrypt query results] (クエリ結果の暗号化) を選択します。 Athena の暗号化に関する詳細につい Athena tutorial covers creating database, table from sample data, querying table, checking results, using named queries, keyboard shortcuts, typeahead suggestions, connecting other data sources.