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You can also set up Extended Connection Settings: By default, the newly created connections are enabled. Deselect it if you want this connection to be visible in other projects.Įnable connection: deselect if you want to restrict using this connection. Per project: select to enable these connection settings only for the current project. Or it can be your custom location if you have selected Use custom configs. If you use the default location, it's usually ~/.aws/credentials on Linux or macOS, or C:\Users\\.aws\credentials on Windows. With the Default credential providers chain or Profile from credentials file option selected, you can click Open Credentials to locate the directory where the credential file is stored. This means that if you select the same profile in AWS S3, AWS EMR, and AWS Glue, you don't have to perform MFA or OAuth 2.0 authentication again. If you authenticate using a profile from config or credentials file, IntelliJ IDEA enables you to share your MFA or OAuth 2.0 data across all AWS connections. You can also select Use custom configs to use a profile file and credentials file from another directory.

Profile from credentials file: select a profile from your credentials file. For more info on the chain, refer to Using the Default Credential Provider Chain.Įxplicit access key and secret key: enter your credentials manually. You can then use the bucket filter to show only buckets with particular names.Īuthentication type lets you select the authentication method:ĭefault credential providers chain: use the credentials from the default provider chain. You can specify multiple names or paths by separating them with a comma. Select Custom roots and, in the Roots field, specify the name of the bucket or the path to a directory in the bucket. Select the storage type: AWS S3 or a custom S3 compatible storage. Name: the name of the connection to distinguish it between the other connections. In the Big Data Tools dialog that opens, specify the connection parameters: In the Big Data Tools window, click and select AWS S3.