Apache Spark でSage US Data をSQL で操作

CData JDBC ドライバーを使用して、Apache Spark でSage US Data にデータ連携。

Apache Spark は大規模データ処理のための高速で一般的なエンジンです。CData JDBC Driver for Sage US と組み合わせると、Spark はリアルタイムSage US data にデータ連携して処理ができます。ここでは、Spark シェルに接続してSage US data をクエリする方法について説明します。

CData JDBC Driver は、最適化されたデータ処理がドライバーに組み込まれているため、リアルタイムSage US data と対話するための高いパフォーマンスを提供します。Sage US に複雑なSQL クエリを発行すると、ドライバーはフィルタや集計など、サポートされているSQL操作を直接Sage US にプッシュし、組込みSQL エンジンを使用してサポートされていない操作(SQL 関数やJOIN 操作)をクライアント側で処理します。組み込みの動的メタデータクエリを使用すると、ネイティブデータ型を使用してSage US data を操作して分析できます。

CData JDBC Driver for Sage US をインストール

CData JDBC Driver for Sage US インストーラをダウンロードし、パッケージを解凍し、JAR ファイルを実行してドライバーをインストールします。

Spark Shell を起動してSage US Data に接続

  1. Open a terminal and start the Spark shell with the CData JDBC Driver for Sage US JAR file as the jars parameter: $ spark-shell --jars /CData/CData JDBC Driver for Sage US/lib/cdata.jdbc.sage50us.jar
  2. With the shell running, you can connect to Sage US with a JDBC URL and use the SQL Context load() function to read a table.

    The Application Id and Company Name connection string options are required to connect to Sage as a data source. You can obtain an Application Id by contacting Sage directly to request access to the Sage 50 SDK.

    Sage must be installed on the machine. The Sage.Peachtree.API.dll and Sage.Peachtree.API.Resolver.dll assemblies are required. These assemblies are installed with Sage in C:\Program Files\Sage\Peachtree\API\. Additionally, the Sage SDK requires .NET Framework 4.0 and is only compatible with 32-bit applications. To use the Sage SDK in Visual Studio, set the Platform Target property to "x86" in Project -> Properties -> Build.

    You must authorize the application to access company data: To authorize your application to access Sage, restart the Sage application, open the company you want to access, and connect with your application. You will then be prompted to set access permissions for the application in the resulting dialog.

    While the compiled executable will require authorization only once, during development you may need to follow this process to reauthorize a new build. To avoid restarting the Sage application when developing with Visual Studio, click Build -> Configuration Manager and uncheck "Build" for your project.

    組み込みの接続文字列デザイナー

    For assistance in constructing the JDBC URL, use the connection string designer built into the Sage US JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.sage50us.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    scala> val sage50us_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:sage50us:ApplicationId=8dfafu4V4ODmh1fM0xx;CompanyName=Bellwether Garden Supply - Premium;").option("dbtable","Customer").option("driver","cdata.jdbc.sage50us.Sage50USDriver").load()
  3. Once you connect and the data is loaded you will see the table schema displayed.
  4. Register the Sage US data as a temporary table:

    scala> sage50us_df.registerTable("customer")
  5. Perform custom SQL queries against the Data using commands like the one below:

    scala> sage50us_df.sqlContext.sql("SELECT Name, LastInvoiceAmount FROM Customer WHERE Name = ALDRED").collect.foreach(println)

    You will see the results displayed in the console, similar to the following:

Using the CData JDBC Driver for Sage US in Apache Spark, you are able to perform fast and complex analytics on Sage US data, combining the power and utility of Spark with your data.Download a free, 30 day trial of any of the 170+ CData JDBC Drivers and get started today.

 
 
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