import com.hazelcast.client.HazelcastClient;
import com.hazelcast.core.HazelcastInstance;
import com.hazelcast.core.IMap;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import scala.Tuple2;
import java.io.File;
import java.util.Arrays;
import java.util.Iterator;
import java.util.Map;
import java.util.regex.Pattern;
import static com.hazelcast.spark.connector.HazelcastJavaPairRDDFunctions.javaPairRddFunctions;
/**
* Spark WordCount example writing results to a Hazelcast Map.
*/
public class WriteRddToHazelcast {
private static final Pattern SPACE = Pattern.compile(" ");
private static final String INPUT_RESOURCE_NAME = "article";
public static void main(String[] args) throws Exception {
SparkConf sparkConf = new SparkConf()
.setMaster("local[2]")
.setAppName("Write RDD To Hazelcast")
.set("hazelcast.server.addresses", "127.0.0.1:5701")
.set("spark.driver.host", "127.0.0.1");
JavaSparkContext ctx = new JavaSparkContext(sparkConf);
JavaRDD<String> lines = ctx.textFile(getFile().getPath(), 1);
JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() {
@Override
public Iterator<String> call(String s) {
return Arrays.asList(SPACE.split(s)).iterator();
}
});
JavaPairRDD<String, Integer> ones = words.mapToPair(new PairFunction<String, String, Integer>() {
@Override
public Tuple2<String, Integer> call(String s) {
return new Tuple2<String, Integer>(s, 1);
}
});
JavaPairRDD<String, Integer> counts = ones.reduceByKey(new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer i1, Integer i2) {
return i1 + i2;
}
});
// write counts to the Hazelcast map
javaPairRddFunctions(counts).saveToHazelcastMap("counts");
HazelcastInstance client = HazelcastClient.newHazelcastClient();
IMap<Object, Object> countsMap = client.getMap("counts");
System.out.println("Results fetched from Hazelcast Map :");
for (Map.Entry<Object, Object> entry : countsMap.entrySet()) {
System.out.println(entry.getKey() + ": " + entry.getValue());
}
client.getLifecycleService().terminate();
ctx.stop();
}
private static File getFile() {
ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
return new File(classLoader.getResource(INPUT_RESOURCE_NAME).getFile());
}
}