Mengirimkan Pekerjaan ke Server Apache Spark Jarak Jauh

Apache Spark (v1.6.1) dimulai sebagai layanan di mesin Ubuntu (10.10.0.102), menggunakan ./start-all.sh.

Sekarang perlu mengirimkan pekerjaan ke server ini dari jarak jauh menggunakan Java API.

Berikut ini adalah kode klien Java yang dijalankan dari mesin berbeda (10.10.0.95).

    String mySqlConnectionUrl = "jdbc:mysql://localhost:3306/demo?user=sec&password=sec";

    String jars[] = new String[] {"/home/.m2/repository/com/databricks/spark-csv_2.10/1.4.0/spark-csv_2.10-1.4.0.jar", 
            "/home/.m2/repository/org/apache/commons/commons-csv/1.1/commons-csv-1.1.jar", 
            "/home/.m2/repository/mysql/mysql-connector-java/6.0.2/mysql-connector-java-6.0.2.jar"};
    SparkConf sparkConf = new SparkConf()
            .setAppName("sparkCSVWriter")
            .setMaster("spark://10.10.0.102:7077")
            .setJars(jars);

    JavaSparkContext javaSparkContext = new JavaSparkContext(sparkConf);

    SQLContext sqlContext = new SQLContext(javaSparkContext);

    Map<String, String> options = new HashMap<>();
    options.put("driver", "com.mysql.jdbc.Driver");
    options.put("url", mySqlConnectionUrl);
    options.put("dbtable", "(select p.FIRST_NAME from person p) as firstName");

    DataFrame dataFrame = sqlContext.read().format("jdbc").options(options).load();

    dataFrame.write()
        .format("com.databricks.spark.csv")
        .option("header", "true")
        .option("delimiter", "|")
        .option("quote", "\"")
        .option("quoteMode", QuoteMode.NON_NUMERIC.toString())
        .option("escape", "\\")
        .save("persons.csv");

    Configuration hadoopConfiguration = javaSparkContext.hadoopConfiguration();
    FileSystem hdfs = FileSystem.get(hadoopConfiguration);

    FileUtil.copyMerge(hdfs, new Path("persons.csv"), hdfs, new Path("\home\persons1.csv"), true, hadoopConfiguration, new String());

Sesuai kode perlu mengonversi data RDBMS ke csv/json menggunakan Spark. Tetapi ketika saya menjalankan aplikasi klien ini, dapat terhubung ke server percikan jarak jauh tetapi di konsol terus menerima pesan PERINGATAN berikut

WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 

Dan di sisi server pada Spark UI dalam menjalankan aplikasi > ringkasan pelaksana > log stderr, menerima kesalahan berikut.

Exception in thread "main" java.io.IOException: Failed to connect to /192.168.56.1:53112
    at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
    at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
    at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
    at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
    at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused: /192.168.56.1:53112
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
    at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
    at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
    at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
    at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
    ... 1 more

Namun tidak ada alamat IP yang dikonfigurasi sebagai 192.168.56.1. Jadi apakah ada konfigurasi yang hilang.