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Using Anypoint Studio to Configure Amazon S3 Connector 6.1

Anypoint Studio (Studio) editors help you design and update your Mule applications, properties, and configuration files.

To add and configure a connector in Studio:

When you run the connector, you can view the app log to check for problems in real time, as described in View the App Log.

If you are new to configuring connectors in Studio, see Using Anypoint Studio to Configure a Connector. If, after reading this topic, you need additional information about the connector fields, see the Amazon S3 Reference.

Create a Mule Project

In Studio, create a new Mule project in which to add and configure the connector:

  1. In Studio, select File > New > Mule Project.

  2. Enter a name for your Mule project and click Finish.

Add the Connector to Your Mule Project

Add Amazon S3 to your Mule project to automatically populate the XML code with the connector’s namespace and schema location and to add the required dependencies to the project’s pom.xml file:

  1. In the Mule Palette view, click (X) Search in Exchange.

  2. In the Add Dependencies to Project window, type amazon s3 in the search field.

  3. Click Amazon S3 in Available modules.

  4. Click Add.

  5. Click Finish.

Adding a connector to a Mule project in Studio does not make that connector available to other projects in your Studio workspace.

Configure a Source

A source initiates a flow when a specified condition is met. You can configure one of these sources to use with Amazon S3:

  • On Deleted Object

    Initiates access to your app when an Amazon S3 object is deleted

  • On New Object

    Initiates access to your app when an Amazon S3 object is created

For example, to configure an On Deleted Object source, follow these steps:

  1. In the Mule Palette view, select Amazon S3 > On Deleted Object.

  2. Drag On Deleted Object to the Studio canvas.

  3. On the On Deleted Object configuration screen, optionally change the value of the Display Name field.

  4. Specify values for the following fields:

    • Bucket name
      Name of the bucket containing the multipart upload to abort

    • Notification queue name
      Amazon SQS queue name used to notify users when a new object is created or deleted in an S3 bucket If omitted, a default queue name with prefix MULE-S3-TRIGGER-<event-type>-QUEUE-<bucket-name> is created and used. Where even-type is either NEW or REMOVED. NOTE: As the default queue is created (if not specified) and the source uses SQS:Received to poll for the event notifications connector needs following SQS permissions: sqs:CreateQueue, sqs: GetQueueAttributes, sqs: SetQueueAttributes, sqs: GetQueueUrl, sqs: ReceiveMessage, sqs: DeleteMessage*

    • Scheduling Strategy
      Configures the scheduler that triggers the polling

  5. Click the plus sign (+) next to the Connector configuration field to configure a global element that can be used by all instances of the On Deleted Object source in the app.

  6. On the General tab, specify the connection information for the connector.

  7. On the Advanced tab, optionally specify reconnection information, including a reconnection strategy.

  8. Click Test Connection to confirm that Mule can connect with the specified server.

  9. Click OK.

Add a Connector Operation to the Flow

When you add a connector operation to your flow, you are specifying an action for that connector to perform.

To add an operation for Amazon S3, follow these steps:

  1. In the Mule Palette view, select Amazon S3 and then select the desired operation.

  2. Drag the operation onto the Studio canvas to the right of the source.

Configure a Global Element for the Connector

When you configure a connector, configure a global element that all instances of that connector in the app can use. Configuring a global element requires you to provide the authentication credentials that the connector requires to access the target Amazon S3 system. Amazon S3 supports basic and role authentication.

To configure the global element for Amazon S3 Connector, follow these steps:

  1. Select the operation in the Studio canvas.

  2. In the configuration screen for the operation, click the plus sign (+) next to the Connector configuration field to access the global element configuration fields.

  3. On the General tab, in Connection, select the Connection (S3) Connection Type method to configure.

    You can reference a configuration file that contains ANT-style property placeholders (recommended), or you can enter your authorization credentials in the global configuration properties. For information about the benefits of using property placeholders and how to configure them, see Anypoint Connector Configuration.

  4. On the Advanced tab, optionally specify reconnection information, including a reconnection strategy.

  5. Click Test Connection to confirm that Mule can connect with the specified server.

  6. Click OK.

    Validating a connection with Test Connection requires that you have permission in AWS IAM to the action s3:ListAllMyBuckets. If you don’t have this permission, the test fails. However, you can still use the connector and the operations to which you have access.

    Access to operations on Amazon S3 is further controlled through policies. It is not always possible to validate your credentials before the exact operation for which you have access completes. This can vary based on the bucket name and other parameters. For example, the test connection can fail if your credentials have a restricted policy.

Connection (S3) Connection Type

Enter the following information on the General tab of the Global Element Properties screen to configure the Connection (S3) connection type:

+

Field User Action

Name

Enter the configuration name.

Connection

Select Connection.

Access Key

Enter the access key provided by Amazon.

Secret Key

Enter the secret key provided by Amazon.

+

Example of Configuring S3-Compatible Storage

The MinIO Project is one example of Amazon S3 storage. If you configure this storage locally, set the S3 Compatible Storage URL to http://127.0.0.1:9000.

View the App Log

To check for problems, you can view the app log as follows:

  • If you’re running the app from Anypoint Platform, the output is visible in the Anypoint Studio console window.

  • If you’re running the app using Mule from the command line, the app log is visible in your OS console.

Unless the log file path is customized in the app’s log file (log4j2.xml), you can also view the app log in the default location MULE_HOME/logs/<app-name>.log.

Next Steps

After configuring Studio, see the Examples topic for more configuration ideas.

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