Ready to get started?

Learn more about the CData ODBC Driver for Greenplum or download a free trial:

Download Now

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

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

Connect to Greenplum as an ODBC Data Source

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

To connect to Greenplum, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the default database for the authenticate user is used.

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 Greenplum 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 Greenplum Sys] Driver = CData ODBC Driver for Greenplum Description = My Description User = user Password = admin Database = dbname Server = 127.0.0.1 Port = 5432

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

Create a Greenplum Library in SAS

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

  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 Greenplum 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 Greenplum 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 orders_view as
      select 
        freight, 
        shipname 
      from 
        odbclib.orders 
      where 
        ShipCountry = 'USA';
    quit;
    
  3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Greenplum Data in SAS

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

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 freight / sumvar=shipname
          value=arrow
          percent=arrow
          noheading
          percent=inside plabel=(height=12pt)
          slice=inside value=none
          name='OrdersChart';
    run;
    
 
 
ダウンロード