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CData ODBC Driver for SQL Analysis Services を使って、SAS からリアルタイムSQL Analysis Services 連携レポートや分析を実施

CData ODBC Driver for SQL Analysis Services を使って、SAS からSQL Analysis Services データを連携利用。

SAS は、高度なアナリティクス、BI、データ管理、予測分析のためのソフトウェアです。SAS とCData ODBC Driver for SQL Analysis Services を合わせて使うことで、SAS からリアルタイムSQL Analysis Services data へのアクセスが可能になります。本記事では、SAS でSQL Analysis Services のライブラリを作成し、データベースのようにデータを扱い、レポートを作成します。

The CData ODBC Driver offers unmatched performance for interacting with live SQL Analysis Services data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to SQL Analysis Services, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Analysis Services and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can easily visualize and analyze SQL Analysis Services data in SAS.

Connect to SQL Analysis Services as an ODBC Data Source

Information for connecting to SQL Analysis Services follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for SQL Analysis Services must be installed on the machine hosting the SAS System).

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.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Windows

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Linux

If you are installing the CData ODBC Driver for SQL Analysis Services in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData SSAS Sys] Driver = CData ODBC Driver for SQL Analysis Services Description = My Description User = myuseraccount Password = mypassword URL = http://localhost/OLAP/msmdpump.dll

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a SQL Analysis Services Library in SAS

Connect to SQL Analysis Services in SAS by adding a library based on the CData ODBC Driver for SQL Analysis Services.

  1. Open SAS and expand Libraries in the Explorer pane.
  2. In the Active Libraries window, right-click and select New.
  3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
  4. Set Data Source to the DSN you previously configured and click OK.

Create a View from a SQL Analysis Services Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live SQL Analysis Services data for reports, charts, and analytics.

Using the Query Tool

  1. In SAS, click Tools -> Query
  2. Select the table sources and the table(s) you wish to pull data from. Then, click OK.
  3. Select columns and right-click to add filtering, ordering, grouping, etc.
  4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK.

Using PROC SQL

  1. In SAS, navigate to the Editor window.
  2. Use PROC SQL to query the data and create a local view.
    NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.
    proc sql;
      create view adventure_works_view as
      select 
        fiscal_year, 
        sales_amount 
      from 
        odbclib.adventure_works 
      where 
        Fiscal_Year = 'FY 2008';
    quit;
    
  3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize SQL Analysis Services Data in SAS

With a local view created, you can report, visualize, or otherwise analyze SQL Analysis Services data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

  1. In SAS, navigate to the Editor window.
  2. Use PROC PRINT to print an HTML report for the SQL Analysis Services Adventure_Works data.
    proc print data=adventure_works;
      title "SQL Analysis Services Adventure_Works Data";
    run;
    

Print a Chart

  1. In SAS, navigate to the Editor window.
  2. Use PROC GCHART to create a chart for the Adventure_Works data.
    proc gchart data=adventure_works;
      pie fiscal_year / sumvar=sales_amount
          value=arrow
          percent=arrow
          noheading
          percent=inside plabel=(height=12pt)
          slice=inside value=none
          name='Adventure_WorksChart';
    run;
    
 
 
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