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Redshift Data にSQL を使ってAnypoint からデータ連携

CData Mule Connector for Redshift を使って、Redshift data のJSON エンドポイントを作成するシンプルなMule アプリケーションを作成。

CData Mule Connector for Redshift は、Redshift data をMule アプリケーションから標準SQL でのread、write、update、およびdeleteを可能にします。コネクタを使うことで、Mule アプリケーションでRedshift data のバックアップ、変換、レポート、および分析を簡単に行えます。

This article demonstrates how to use the CData Mule Connector for Redshift inside of a Mule project to create a Web interface for Redshift data. The application created allows you to request Redshift data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData Mule Connector to create a Web interface for the 170+ available data sources.

  1. Create a new Mule Project in Anypoint Studio.
  2. Add an HTTP Connector to the Message Flow.
  3. Configure the address for the HTTP Connector.
  4. Add a CData Redshift Connector to the same flow, after the HTTP Connector.
  5. Create a new Connection (or edit an existing one) and configure the properties to connect to Redshift (see below). Once the connection is configured, click Test Connection to ensure the connectivity to Redshift.

    To connect to Redshift, set the following:

    • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
    • Port: Set this to the port of the cluster.
    • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
    • User: Set this to the username you want to use to authenticate to the Server.
    • Password: Set this to the password you want to use to authenticate to the Server.

    You can obtain the Server and Port values in the AWS Management Console:

    1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
    2. On the Clusters page, click the name of the cluster.
    3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.
  6. Configure the CData Redshift Connector.
    1. Set the Operation to 'Select with Streaming'.
    2. Set the Query type to Dynamic.
    3. Set the SQL query to SELECT * FROM #[message.inboundProperties.'http.query.params'.get('table')] to parse the URL parameter table and use it as the target of the SELECT query. You can customize the query further by referencing other potential URL parameters.
  7. Add a Transform Message Component to the flow.
    1. Map the Payload from the input to the Map in the output.
    2. Set the Output script to the following to convert the payload to JSON:
      %dw 1.0
      %output application/json
      ---
      payload
              
  8. To view your Redshift data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default) and pass a table name as the table URL parameter: http://localhost:8081?table=Orders
    The Orders data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with Redshift data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the Mule Connector for Redshift and see the CData difference in your Mule Applications today.

 
 
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