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

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

    Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

    The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

    Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

  6. Configure the CData Elasticsearch 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 Elasticsearch 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 Elasticsearch 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 Elasticsearch and see the CData difference in your Mule Applications today.

 
 
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