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

CData Mule Connector for SQL Server を使って、SQL Server 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 SQL Server は、SQL Server 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SQL Server 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 SQL Server inside of a Mule project to create a Web interface for SQL Server data. The application created allows you to request SQL Server 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 200+ 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 SQL Server 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 SQL Server (see below). Once the connection is configured, click Test Connection to ensure the connectivity to SQL Server.

    Connecting to Microsoft SQL Server

    Connect to Microsoft SQL Server using the following properties:

    • Server: The name of the server running SQL Server.
    • User: The username provided for authentication with SQL Server.
    • Password: The password associated with the authenticating user.
    • Database: The name of the SQL Server database.

    Connecting to Azure SQL Server and Azure Data Warehouse

    You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

    • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
    • User: The name of the user authenticating to Azure.
    • Password: The password associated with the authenticating user.
    • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.
  6. Configure the CData SQL Server 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 SQL Server 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 SQL Server 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 SQL Server and see the CData difference in your Mule Applications today.

 
 
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