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JRuby からApache Spark Data にデータ連携

リアルタイムApache Spark data に連携するシンプルなJRuby アプリケーションを作成します。

JRuby はRuby プログラミング言語の高性能で安定した、完全にスレッド化されたJava 実装です。CData JDBC Driver for Apache Spark を使用すると、JRuby からリアルタイムApache Spark data へのデータ連携を簡単に実装できます。ここでは、Apache Spark data に接続し、クエリを実行して結果を表示する簡単なJRuby アプリを作成する方法を説明します。

Apache Spark Data にJDBC で接続

Before creating the app, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CDatat\CData JDBC Driver for Apache Spark\lib).

JRuby natively supports JDBC, so you can easily connect to Apache Spark and execute SQL queries.Initialize the JDBC connection with the getConnection function of the java.sql.DriverManager class.

Set the Server, Database, User, and Password connection properties to connect to SparkSQL.


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

java -jar cdata.jdbc.sparksql.jar

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

Below is a typical JDBC connection string for Apache Spark:


Apache Spark Data への接続性を持つJRuby アプリを作成

Create a new Ruby file (for example: SparkSQLSelect.rb) and open it in a text editor.Copy the following code into your file:

require 'java' require 'rubygems' require 'C:/Program Files/CData/CData JDBC Driver for Apache Spark 2018/lib/cdata.jdbc.sparksql.jar' url = "jdbc:sparksql:Server=;" conn = java.sql.DriverManager.getConnection(url) stmt = conn.createStatement rs = stmt.executeQuery("SELECT City, Balance FROM Customers") while ( do puts rs.getString(1) + ' ' + rs.getString(2) end

With the file completed, you are ready to display your Apache Spark data with JRuby.To do so, simply run your file from the command line:

jruby -S SparkSQLSelect.rb

Writing SQL-92 queries to Apache Spark allows you to quickly and easily incorporate Apache Spark data into your own JRuby applications.Download a free trial today!