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Connect to SQL Analysis Services from a Connection Pool in WebLogic

Use the CData JDBC Driver for SQL Analysis Services to connect to SQL Analysis Services data from Web applications running on WebLogic.

The CData JDBC Driver for SQL Analysis Services enables you to follow standard procedures to integrate SQL Analysis Services data into Java Web applications. This article shows how to deploy the CData JDBC Driver for SQL Analysis Services in WebLogic server.

Install the JDBC Driver in WebLogic Server

Add the driver JAR and license file to the classpath your application will be using. The .lic file must be located in the same folder as the JAR. These files are located in the lib subfolder of the installation directory.

If you want to add the driver to all domains, add the JAR to the WEBLOGIC_CLASSPATH environment variable. add the following line to the commEnv.cmd/sh script in WL_HOME\common\bin\.

set WEBLOGIC_CLASSPATH=your-installation-directory\lib\cdata.jdbc.ssas.jar;%WEBLOGIC_CLASSPATH%

If you want to add the driver to a specific domain, you will need to add the JAR to the PRE_CLASSPATH environment variable. Add the following line to the setDomainEnv.cmd/sh script in the bin subfolder of the folder for that domain:

set PRE_CLASSPATH=your-installation-directory\lib\cdata.jdbc.ssas.jar;%PRE_CLASSPATH%

Create a JDBC Data Source for SQL Analysis Services

After installing the driver, create the connection.

  1. In the Domain Structure tree, click Services -> Data Sources -> New -> Generic Data Source.
  2. On the JDBC Data Source Properties page, enter the following information:
    • Name: Enter a user-friendly name; for example, ssasjdbc.
    • JDBC Name: Enter the path the JDBC data source will be bound to; for example, jdbc/SSAS.
    • Database Type: Select Other.

  3. Click Next to use the default options. On the last page, enter the following information and click Test Configuration:

    • Driver Class Name: Enter the driver class, cdata.jdbc.ssas.SSASDriver, in this property.
    • URL: Enter the JDBC URL. A typical JDBC URL is below:

      jdbc:ssas:User=myuseraccount;Password=mypassword;URL=http://localhost/OLAP/msmdpump.dll;

      接続するには、Url プロパティを有効なSQL Server Analysis Services エンドポイントに設定して認証を提供します。XMLA アクセスを使用して、HTTP 経由でホストされているSQL Server Analysis Services インスタンスに接続できます。 Microsoft ドキュメント configure HTTP access tを参照してSQL Server Analysis Services に接続してください。

      SQL をSQL Server Analysis Services に実行するには、Analysis Services データの取得 を参照してください。接続ごとにメタデータを取得する代わりに、CacheLocation を設定できます。

      • HTTP 認証

        AuthScheme を"Basic" または"Digest" に設定してUser とPassword を設定します。CustomHeaders に他の認証値を指定します。

      • Windows (NTLM)

        Windows のUser とPassword を設定して、AuthScheme をNTLM に設定します。

      • Kerberos およびKerberos Delegation

        Kerberos を認証するには、AuthScheme をNEGOTIATE に設定します。Kerberos 委任を使うには、AuthScheme をKERBEROSDELEGATION に設定します。必要があれば、User、Password およびKerberosSPN を設定します。デフォルトでは、本製品は指定されたUrl でSPN と通信しようと試みます。

      • SSL/TLS:

        デフォルトでは、本製品はサーバーの証明書をシステムの信頼できる証明書ストアと照合してSSL/TLS のネゴシエーションを試みます。別の証明書を指定するには、利用可能なフォーマットについてSSLServerCert プロパティを参照してください。

      You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

      See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

    • Database User Name: Enter the username, if not specified in the JDBC URL.
    • Password: Enter the password, if not specified in the JDBC URL.

After selecting the server where you want to deploy the JDBC data source, you can now connect to SQL Analysis Services data.

More WebLogic Integration

The steps above show how configure the driver in a simple connection pooling scenario. For more use cases and information, see the JDBC sections in the WebLogic Data Sources chapter of the Oracle Fusion Middleware documentation.

 
 
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