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





Amazon Redshift ODBC Driver

Amazon Redshift ODBC Driver は、ODBC 接続をサポートするさまざまなアプリケーションからAmazon Redshift データへの接続を実現するパワフルなツールです。

標準ODBC Driver インターフェースを通じて、Amazon Redshift データを読み、書き、更新。

CData ODBC Driver for Redshift を使って、SAS からRedshift 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 Redshift を合わせて使うことで、SAS からリアルタイムRedshift data へのアクセスが可能になります。本記事では、SAS でRedshift 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 Redshift data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to Redshift, the driver pushes supported SQL operations, like filters and aggregations, directly to Redshift 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 Redshift data in SAS.


Connect to Redshift as an ODBC Data Source

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

Redshift への接続には次を設定します:

  • Server: 接続するデータベースをホストしているクラスタのホスト名およびIP アドレス。
  • Port: クラスタのポート。
  • Database: データベース名、ブランクの場合ユーザーのデフォルトデータベースになります。
  • User: ユーザー名。
  • Password: ユーザーのパスワード。

Server およびPort の値はAWS の管理コンソールで取得可能です:

  1. Amazon Redshift console ( を開く。
  2. Clusters ページで、クラスタ名をクリック。
  3. クラスタのConfiguration タブで、表示された接続文字列からクラスタのURL をコピーします。

    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.


    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.


    If you are installing the CData ODBC Driver for Redshift 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.


    [CData Redshift Sys] Driver = CData ODBC Driver for Redshift Description = My Description User = admin Password = admin Database = dev Server = Port = 5439

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

Create a Redshift Library in SAS

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

  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 Redshift 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 Redshift 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.


  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 orders_view as
        ShipCountry = 'USA';
  3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Redshift Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Redshift 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 Redshift Orders data.
    proc print data=orders;
      title "Redshift Orders Data";

Print a Chart

  1. In SAS, navigate to the Editor window.
  2. Use PROC GCHART to create a chart for the Orders data.
    proc gchart data=orders;
      pie shipname / sumvar=shipcity
          percent=inside plabel=(height=12pt)
          slice=inside value=none