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

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

    YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.

    In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.

    If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.

  6. Configure the CData YouTube Analytics 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 YouTube Analytics 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=Groups
    The Groups 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 YouTube Analytics 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 YouTube Analytics and see the CData difference in your Mule Applications today.

 
 
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