/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package demo;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.SQLContext;
import static org.apache.geode.spark.connector.javaapi.GeodeJavaUtil.*;
/**
* This Spark application demonstrates how to get region data from Geode using Geode
* OQL Java API. The result is a Spark DataFrame.
* <p>
* In order to run it, you will need to start a Geode cluster, and run demo PairRDDSaveJavaDemo
* first to create some data in the region.
* <p>
* Once you compile and package the demo, the jar file basic-demos_2.10-0.5.0.jar
* should be generated under geode-spark-demos/basic-demos/target/scala-2.10/.
* Then run the following command to start a Spark job:
* <pre>
* <path to spark>/bin/spark-submit --master=local[2] --class demo.OQLJavaDemo \
* <path to>/basic-demos_2.10-0.5.0.jar <locator host>:<port>
* </pre>
*/
public class OQLJavaDemo {
public static void main(String[] argv) {
if (argv.length != 1) {
System.err.printf("Usage: OQLJavaDemo <locators>\n");
return;
}
SparkConf conf = new SparkConf().setAppName("OQLJavaDemo");
conf.set(GeodeLocatorPropKey, argv[0]); // "192.168.1.47[10335]"
JavaSparkContext sc = new JavaSparkContext(conf);
SQLContext sqlContext = new org.apache.spark.sql.SQLContext(sc);
DataFrame df = javaFunctions(sqlContext).geodeOQL("select * from /str_str_region");
System.out.println("======= DataFrame =======\n");
df.show();
sc.stop();
}
}