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PayPal Data にSQL を使ってAnypoint からデータ連携

CData Mule Connector for PayPal を使って、PayPal 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 PayPal は、PayPal data をMule アプリケーションから標準SQL でのread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PayPal 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 PayPal inside of a Mule project to create a Web interface for PayPal data. The application created allows you to request PayPal 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 PayPal 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 PayPal (see below). Once the connection is configured, click Test Connection to ensure the connectivity to PayPal.

    The provider surfaces tables from two PayPal APIs. The APIs use different authentication methods.

    • The REST API uses the OAuth standard. To authenticate to the REST API, you will need to set the OAuthClientId, OAuthClientSecret, and CallbackURL properties.
    • The Classic API requires Signature API credentials. To authenticate to the Classic API, you will need to obtain an API username, password, and signature.

    See the "Getting Started" chapter of the help documentation for a guide to obtaining the necessary API credentials.

    To select the API you want to work with, you can set the Schema property to REST or SOAP. By default the SOAP schema will be used.

    For testing purposes you can set UseSandbox to true and use sandbox credentials.

  6. Configure the CData PayPal 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 PayPal 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=Transactions
    The Transactions 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 PayPal 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 PayPal and see the CData difference in your Mule Applications today.

 
 
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