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

CData Mule Connector for BigCommerce を使って、BigCommerce 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 BigCommerce は、BigCommerce 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BigCommerce 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 BigCommerce inside of a Mule project to create a Web interface for BigCommerce data. The application created allows you to request BigCommerce 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 BigCommerce 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 BigCommerce (see below). Once the connection is configured, click Test Connection to ensure the connectivity to BigCommerce.

    BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

    Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

    1. Log in to your BigCommerce account.
    2. From the Home Page, select Advanced Settings > API Accounts.
    3. Click Create API Account.
    4. A text box named API Path will appear on your screen.
    5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
    6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
    7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.
  6. Configure the CData BigCommerce 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 BigCommerce 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=Customers
    The Customers 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 BigCommerce 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 BigCommerce and see the CData difference in your Mule Applications today.

 
 
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