Hi,

@Gerard- Thanks, i added one more dependency for conf.set("spark.cassandra.connection.host", "localhost").

But now, i am able to create a connection, but the data is not getting inserted into the cassandra table. 
and the logs show its getting connected and the next second getting disconnected. 
the full code and the logs and dependencies are below:

public class SparkStream {
static int key=0;
public static void main(String args[]) throws Exception
{

if(args.length != 3)
{
System.out.println("parameters not given properly");
System.exit(1);
}

Logger.getLogger("org").setLevel(Level.OFF);
Logger.getLogger("akka").setLevel(Level.OFF);
Map<String,Integer> topicMap = new HashMap<String,Integer>();
String[] topic = args[2].split(",");
for(String t: topic)
{
topicMap.put(t, new Integer(3));
}

/* Connection to Spark */
SparkConf conf = new SparkConf();
conf.set("spark.cassandra.connection.host", "localhost");
JavaSparkContext sc = new JavaSparkContext("local[4]", "SparkStream",conf);
JavaStreamingContext jssc = new JavaStreamingContext(sc, new Duration(5000));


/* connection to cassandra */
CassandraConnector connector = CassandraConnector.apply(sc.getConf());
System.out.println("+++++++++++cassandra connector created++++++++++++++++++++++++++++");

/* Receive Kafka streaming inputs */
JavaPairReceiverInputDStream<String, String> messages = KafkaUtils.createStream(jssc, args[0], args[1], topicMap );
System.out.println("+++++++++++++streaming Connection done!+++++++++++++++++++++++++++");


/* Create DStream */
JavaDStream<TestTable> data = messages.map(new Function< Tuple2<String,String>, TestTable >() 
{
public TestTable call(Tuple2<String, String> message)
{
return new TestTable(new Integer(++key), message._2() );
}
}
);
System.out.println("++++++++++++++++JavaDStream<TestTable> created++++++++++++++++++++++++++++");


/* Write to cassandra */
javaFunctions(data).writerBuilder("testkeyspace", "test_table", mapToRow(TestTable.class)).saveToCassandra();

jssc.start();
jssc.awaitTermination();

}
}

class TestTable implements Serializable
{
    Integer key;
    String value;

    public TestTable() {}

    public TestTable(Integer k, String v)
    {
        key=k;
        value=v;
    }

    public Integer getKey(){
        return key;
    }

    public void setKey(Integer k){
        key=k;
    }

    public String getValue(){
        return value;
    }

    public void setValue(String v){
        value=v;
    }

    public String toString(){
        return MessageFormat.format("TestTable'{'key={0}, value={1}'}'", key, value);

    }
}

The log is:
+++++++++++cassandra connector created++++++++++++++++++++++++++++
+++++++++++++streaming Connection done!+++++++++++++++++++++++++++
++++++++++++++++JavaDStream<TestTable> created++++++++++++++++++++++++++++
14/12/09 12:07:33 INFO core.Cluster: New Cassandra host localhost/127.0.0.1:9042 added
14/12/09 12:07:33 INFO cql.CassandraConnector: Connected to Cassandra cluster: Test Cluster
14/12/09 12:07:33 INFO cql.LocalNodeFirstLoadBalancingPolicy: Adding host 127.0.0.1 (datacenter1)
14/12/09 12:07:33 INFO cql.LocalNodeFirstLoadBalancingPolicy: Adding host 127.0.0.1 (datacenter1)
14/12/09 12:07:34 INFO cql.CassandraConnector: Disconnected from Cassandra cluster: Test Cluster

14/12/09 12:07:45 INFO core.Cluster: New Cassandra host localhost/127.0.0.1:9042 added
14/12/09 12:07:45 INFO cql.CassandraConnector: Connected to Cassandra cluster: Test Cluster
14/12/09 12:07:45 INFO cql.LocalNodeFirstLoadBalancingPolicy: Adding host 127.0.0.1 (datacenter1)
14/12/09 12:07:45 INFO cql.LocalNodeFirstLoadBalancingPolicy: Adding host 127.0.0.1 (datacenter1)
14/12/09 12:07:46 INFO cql.CassandraConnector: Disconnected from Cassandra cluster: Test Cluster

The POM.xml dependencies are:
   <dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.10</artifactId>
<version>1.1.0</version>
</dependency>

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-streaming_2.10</artifactId>
    <version>1.1.0</version>
</dependency>

<dependency>
    <groupId>com.datastax.spark</groupId>
    <artifactId>spark-cassandra-connector_2.10</artifactId>
    <version>1.1.0</version>
</dependency>
<dependency>
    <groupId>com.datastax.spark</groupId>
    <artifactId>spark-cassandra-connector-java_2.10</artifactId>
    <version>1.1.0</version>
</dependency>
<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-core_2.10</artifactId>
    <version>1.1.1</version>
</dependency>


<dependency>
    <groupId>com.msiops.footing</groupId>
    <artifactId>footing-tuple</artifactId>
    <version>0.2</version>
</dependency>

<dependency>
    <groupId>com.datastax.cassandra</groupId>
    <artifactId>cassandra-driver-core</artifactId>
    <version>2.1.3</version>
</dependency>



Thanks and Regards,

Md. Aiman Sarosh.
Accenture Services Pvt. Ltd.
Mob #:  (+91) - 9836112841.

From: Gerard Maas <gerard.maas@gmail.com>
Sent: Tuesday, December 9, 2014 4:39 PM
To: Sarosh, M.
Cc: spark users
Subject: Re: NoSuchMethodError: writing spark-streaming data to cassandra
 
You're using two conflicting versions of the connector: the Scala version at 1.1.0 and the Java version at 1.0.4. 

I don't use Java, but I guess you only need the java dependency for your job - and with the version fixed.

<dependency>
        <groupId>com.datastax.spark</groupId>
        <artifactId>spark-cassandra-connector_2.10</artifactId>
        <version>1.1.0</version>
</dependency>
<dependency>
        <groupId>com.datastax.spark</groupId>
        <artifactId>spark-cassandra-connector-java_2.10</artifactId>
        <version>1.0.4</version>
</dependency>

On Tue, Dec 9, 2014 at 11:16 AM, <m.sarosh@accenture.com> wrote:
 
Hi,
 
I am intending to save the streaming data from kafka into Cassandra, using spark-streaming:
But there seems to be problem with line
javaFunctions(data).writerBuilder("testkeyspace", "test_table", mapToRow(TestTable.class)).saveToCassandra();
I am getting NoSuchMethodError.
The code, the error-log and POM.xml dependencies are listed below:
Please help me find the reason as to why is this happening.
 
 
public class SparkStream {
        static int key=0;
        public static void main(String args[]) throws Exception
        {
                  if(args.length != 3)
                  {
                        System.out.println("SparkStream <zookeeper_ip> <group_nm> <topic1,topic2,...>");
                        System.exit(1);
                  }
 
                  Logger.getLogger("org").setLevel(Level.OFF);
                  Logger.getLogger("akka").setLevel(Level.OFF);
                  Map<String,Integer> topicMap = new HashMap<String,Integer>();
                  String[] topic = args[2].split(",");
                  for(String t: topic)
                  {
                        topicMap.put(t, new Integer(3));
                  }
 
                  /* Connection to Spark */
                  SparkConf conf = new SparkConf();
                  JavaSparkContext sc = new JavaSparkContext("local[4]", "SparkStream",conf);
                  JavaStreamingContext jssc = new JavaStreamingContext(sc, new Duration(3000));
 
 
                  /* Receive Kafka streaming inputs */
                  JavaPairReceiverInputDStream<String, String> messages = KafkaUtils.createStream(jssc, args[0], args[1], topicMap );
 
 
                  /* Create DStream */
                  JavaDStream<TestTable> data = messages.map(new Function<Tuple2<String,String>, TestTable >()
                  {
                        public TestTable call(Tuple2<String, String> message)
                        {
                                return new TestTable(new Integer(++key), message._2() );
                        }
                  }
                  );
 
                  /* Write to cassandra */
                javaFunctions(data,TestTable.class).saveToCassandra("testkeyspace","test_table");
        //      data.print(); //creates console output stream.
 
 
                  jssc.start();
                  jssc.awaitTermination();
 
        }
}
 
class TestTable implements Serializable
{
        Integer key;
        String value;
 
        public TestTable() {}
 
        public TestTable(Integer k, String v)
        {
                  key=k;
                  value=v;
        }
 
        public Integer getKey(){
                  return key;
        }
 
        public void setKey(Integer k){
                  key=k;
        }
 
        public String getValue(){
                  return value;
        }
 
        public void setValue(String v){
                  value=v;
        }
 
        public String toString(){
                  return MessageFormat.format("TestTable'{'key={0},value={1}'}'", key, value);
        }
}
 
The output log is:
Exception in thread "main" java.lang.NoSuchMethodError: com.datastax.spark.connector.streaming.DStreamFunctions.<init>(Lorg/apache/spark/streaming/dstream/DStream;Lscala/reflect/ClassTag;)V
        at com.datastax.spark.connector.DStreamJavaFunctions.<init>(DStreamJavaFunctions.java:17)
        at com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(CassandraJavaUtil.java:89)
        at com.spark.SparkStream.main(SparkStream.java:83)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:483)
        at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:331)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
 
 
And the POM dependencies are:
 
        <dependency>
                  <groupId>org.apache.spark</groupId>
                  <artifactId>spark-streaming-kafka_2.10</artifactId>
                  <version>1.1.0</version>
        </dependency>
 
        <dependency>
                  <groupId>org.apache.spark</groupId>
                  <artifactId>spark-streaming_2.10</artifactId>
                  <version>1.1.0</version>
        </dependency>
 
<dependency>
        <groupId>com.datastax.spark</groupId>
        <artifactId>spark-cassandra-connector_2.10</artifactId>
        <version>1.1.0</version>
</dependency>
<dependency>
        <groupId>com.datastax.spark</groupId>
        <artifactId>spark-cassandra-connector-java_2.10</artifactId>
        <version>1.0.4</version>
</dependency>
<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>1.1.1</version>
</dependency>
 
 
        <dependency>
                  <groupId>com.msiops.footing</groupId>
                  <artifactId>footing-tuple</artifactId>
                  <version>0.2</version>
        </dependency>
 
        <dependency>
                  <groupId>com.datastax.cassandra</groupId>
                  <artifactId>cassandra-driver-core</artifactId>
                  <version>1.0.8</version>
        </dependency>
 
 
Thanks,
Aiman
 
 



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