Amazon Redshift

Enable the Database Tools and SQL plugin

This functionality relies on the Database Tools and SQL plugin, which is bundled and enabled in PyCharm by default. If the relevant features aren't available, make sure that you didn't disable the plugin.

1. Press Ctrl+Alt+S to open settings and then select Plugins.

2. Open the Installed tab, find the Database Tools and SQL plugin, and select the checkbox next to the plugin name.

Official documentation

• For full information about Amazon Redshift, refer to the official documentation.

• For more versions of Amazon Redshift JDBC driver, refer to the official JDBC driver downloads.

Connect to an Amazon Redshift database

1. To connect to the database, create a data source that will store your connection details. You can do this using one of the following ways:

   • In the main menu, go to File | New | Data Source and select Amazon Redshift.

   • In the Database tool window ( View | Tool Windows | Database) , click the New icon () in the toolbar. Navigate to Data Source and select Amazon Redshift.

   

2. In the General tab of Data Sources and Drivers dialog right pane, specify the driver and connection type.

   1. In the Driver list, leave the default driver option, unless another driver is required for your connection.

   2. From the Connection type list, select the connection type depending on the connection details that you have:

      • default: connect by using Host, Port, Database, and URL.

      • IAM cluster/region: connect by using Database, Region, Cluster, and URL.

      • URL only: connect by using only the URL.

      For the URL only connection type, the JDBC URL that you enter is used and as is, including the database credentials.

      For the other connection types, the JDBC URL is broken down into connection details. You can either specify them separately and use the automatically generated URL, or you can enter the URL directly in the corresponding field.

   

3. Check if there is a Download missing driver files link at the bottom of the connection settings area. Click this link to download drivers that are required to interact with a database. For a direct download link, refer to the JetBrains JDBC drivers page.

   Location for the downloaded JDBC drivers is the PyCharm configuration directory.

   

   You can also use your drivers for the database instead of the provided ones. For more information about connecting to a database with your driver, refer to Add a user driver to an existing connection.

   If there is no Download missing driver files link, then you already have the required drivers.

4. Specify the database connection details. Alternatively, paste the JDBC URL in the URL field.

   1. In the Host field, type your server address.

   2. In the Port field, type the port of Amazon Redshift. The default port is 5439.

   3. From the Authentication list, select the authentication method that you want to use to authenticate the connection. The following options are available:

      • pgpass: by using the pgpass file. You can store this file in the user's home directory. You can read more about the password file and its location in The Password File at postgresql.org.

      • User & Password: by using your login and password.

      • AWS Profile: by using a named profile. A named profile is a collection of settings and credentials that you can use for authentication. Named profiles are stored in CREDENTIALS files. Default directories for these files are ~/.aws/credentials (Linux and macOS) and %USERPROFILE%\.aws\credentials (Windows).

      • No auth: authentication is not required.

   4. In the Database field, type the database name to which you want to connect.

   5. In settings of the Redshift cluster, copy the JDBC URL.

   6. In the URL field, PyCharm generates the JDBC URL automatically using the values of other connection settings.

      Paste the JDBC URL from the Redshift cluster settings to the URL field in PyCharm.

      If you need to use a JDBC URL with certain additional settings, paste it in the URL field. The general URL to use is as follows:

      • Format: jdbc:redshift://<connection_url><port_number>/<database_name>

      • Example: jdbc:redshift://server.redshift.amazonaws.com:5439/myDatabase

      For more information about the URL format, refer to the Amazon Redshift official documentation.

   

   1. From the Authentication list, select the authentication method that you want to use to authenticate the connection. The following options are available:

      • pgpass: by using the pgpass file. You can store this file in the user's home directory. You can read more about the password file and its location in The Password File at postgresql.org.

      • User & Password: by using your login and password.

      • AWS Profile: by using a named profile. A named profile is a collection of settings and credentials that you can use for authentication. Named profiles are stored in CREDENTIALS files. Default directories for these files are ~/.aws/credentials (Linux and macOS) and %USERPROFILE%\.aws\credentials (Windows).

      • No auth: authentication is not required.

   2. In the Database field, type the database name to which you want to connect.

   3. In the Region field, enter the AWS Region of the database that you are connecting to.

   4. In the Cluster field, enter the name of Amazon Redshift cluster that contains your database.

   5. In settings of the Redshift cluster, copy the JDBC URL.

   6. In the URL field, PyCharm generates the JDBC URL automatically using the values of other connection settings.

      Paste the JDBC URL from the Redshift cluster settings to the URL field in PyCharm.

      If you need to use a JDBC URL with certain additional settings, paste it in the URL field. The general URL to use is as follows:

      • Format: jdbc:redshift:iam://<cluster_name>:<region>/<database_name>

      • Example: jdbc:redshift:iam://democluster:eu-south-2/demodb

      For more information about the URL format, refer to the Amazon Redshift official documentation.

   

   1. From the Authentication list, select the authentication method that you want to use to authenticate the connection. The following options are available:

      • pgpass: by using the pgpass file. You can store this file in the user's home directory. You can read more about the password file and its location in The Password File at postgresql.org.

      • User & Password: by using your login and password.

      • AWS Profile: by using a named profile. A named profile is a collection of settings and credentials that you can use for authentication. Named profiles are stored in CREDENTIALS files. Default directories for these files are ~/.aws/credentials (Linux and macOS) and %USERPROFILE%\.aws\credentials (Windows).

      • No auth: authentication is not required.

   2. In settings of the Redshift cluster, copy the JDBC URL.

   3. In the URL field, PyCharm generates the JDBC URL automatically using the values of other connection settings.

      Paste the JDBC URL from the Redshift cluster settings to the URL field in PyCharm.

      If you need to use a JDBC URL with certain additional settings, paste it in the URL field. The general URL to use is as follows:

      • Format: jdbc:redshift://<connection_url><port_number>/<database_name>

      • Example: jdbc:redshift://server.redshift.amazonaws.com:5439

      For more information about the URL format, refer to the Amazon Redshift official documentation.

   

   For the reference information about connection settings and properties on the General and other tabs of Data Sources and Drivers dialog (Shift+Enter) , see Connection settings and DBMS-specific properties.

5. In User and Password fields, specify your Redshift credentials.

6. Ensure that the connection to the database can be established using the provided details. To do that, click the Test Connection link at the bottom of the connection details area.

   

   In case of any connection issues, refer to the Cannot connect to a database page.

7. (Optional) By default, only the default introspected and available to work with. If you also want to work with other databases, schemas, and shared databases, in the Schemas tab, select them for the introspection.

   

8. Click OK to create the data source.

9. Find your new data source in the Database tool window (⌘ 1) .

   • For more information about the Database tool window, see the corresponding reference topic.

   • For more information about working with database objects in PyCharm, refer to Database objects.

   • To write and run queries, open the default query console by clicking the data source and pressing F4.

   • To view and edit data of a database object, open Data editor and viewer by double-clicking the object.