Amazon Aurora
User Guide for Aurora (API Version 2014-10-31)

Using the Query Editor for Aurora Serverless

With the query editor for Aurora Serverless, you can run SQL queries in the RDS console. You can run any valid SQL statement on the Aurora Serverless DB cluster, including data manipulation and data definition statements.


The query editor is currently only available for Aurora MySQL and not for Aurora PostgreSQL.

The query editor requires an Aurora Serverless DB cluster with the Data API enabled. For information about creating an Aurora Serverless DB cluster with the Data API enabled, see Using the Data API for Aurora Serverless.

Authorizing Access to the Query Editor

A user must be authorized to run queries in the query editor. You can authorize a user to run queries in the query editor by adding the AmazonRDSDataFullAccess policy, a predefined AWS Identity and Access Management (IAM) policy, to that user.

You can also create an IAM policy that grants access to the query editor. After you create the policy, add it to each user that requires access to the query editor.

The following policy provides the minimum required permissions for a user to access the query editor.

{ "Version": "2012-10-17", "Statement": [ { "Sid": "QueryEditor0", "Effect": "Allow", "Action": [ "secretsmanager:GetSecretValue", "secretsmanager:PutResourcePolicy", "secretsmanager:PutSecretValue", "secretsmanager:DeleteSecret", "secretsmanager:DescribeSecret", "secretsmanager:TagResource" ], "Resource": "arn:aws:secretsmanager:*:*:secret:rds-db-credentials/*" }, { "Sid": "QueryEditor1", "Effect": "Allow", "Action": [ "secretsmanager:GetRandomPassword", "tag:GetResources", "secretsmanager:CreateSecret", "secretsmanager:ListSecrets", "dbqms:CreateFavoriteQuery", "dbqms:DescribeFavoriteQueries", "dbqms:UpdateFavoriteQuery", "dbqms:DeleteFavoriteQueries", "dbqms:GetQueryString", "dbqms:CreateQueryHistory", "dbqms:UpdateQueryHistory", "dbqms:DeleteQueryHistory", "dbqms:DescribeQueryHistory", "rds-data:BatchExecuteStatement", "rds-data:BeginTransaction", "rds-data:CommitTransaction", "rds-data:ExecuteStatement", "rds-data:RollbackTransaction" ], "Resource": "*" } ] }

For information about creating an IAM policy, see Creating IAM Policies in the AWS Identity and Access Management User Guide.

For information about adding an IAM policy to a user, see Adding and Removing IAM Identity Permissions in the AWS Identity and Access Management User Guide.

Running Queries in the Query Editor

You can run SQL statements on an Aurora Serverless DB cluster in the query editor.

To run a query in the query editor

  1. Sign in to the AWS Management Console and open the Amazon RDS console at

  2. In the upper-right corner of the AWS Management Console, choose the AWS Region in which you created the Aurora Serverless DB clusters that you want to query.

  3. In the navigation pane, choose Databases.

  4. Choose the Aurora Serverless DB cluster that you want to run SQL queries against.

  5. For Actions, choose Query. If you haven't connected to the database before, the Connect to database page opens.

                            Query editor Connect to database page
  6. Enter the following information:

    1. For Database instance or cluster, choose the Aurora Serverless DB cluster that you want to run SQL queries on.

    2. For Database username, choose the user name of the database user to connect with, or choose Add new database credentials. If you choose Add new database credentials, enter the user name for the new database credentials in Enter database username.

    3. For Enter database password, enter the password for the database user that you chose.

    4. In the last box, enter the name of the database or schema that you want to use for the Aurora DB cluster.

    5. Choose Connect to database.


      If your connection is successful, your connection and authentication information are stored in AWS Secrets Manager. You don't need to enter the connection information again.

  7. In the query editor, enter the SQL query that you want to run on the database.

                            Query editor

    Each SQL statement can commit automatically, or you can run SQL statements in a script as part of a transaction. To control this behavior, choose the gear icon above the query window.

                            Gear icon in Query editor

    The Query Editor Settings window appears.

                            Query Editor Settings

    If you choose Auto-commit, every SQL statement commits automatically. If you choose Transaction, you can run a group of statements in a script, and they don't commit automatically. If Transaction is set, the statements in the group are committed when choose Run. Also, you can choose to stop a running script if an error occurs by enabling Stop on error.


    In a group of statements, data definition language (DDL) statements can cause previous data manipulation language (DML) statements to commit. You can also include COMMIT and ROLLBACK statements in a group of statements in a script.

    After you make your choices in the Query Editor Settings window, choose Save.

  8. Choose Run or press Ctrl+Enter, and the query editor displays the results of your query.

    After running the query, save it to Saved queries by choosing Save.

    Export the query results to spreadsheet format by choosing Export to csv.

You can find, edit, and rerun previous queries. To do so, choose the Recent tab or the Saved queries tab, choose the query text, and then choose Run.

To change the database, choose Change database.