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Posted to user@spark.apache.org by m....@accenture.com on 2014/12/08 18:47:31 UTC
Error: Spark-streaming to Cassandra
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 2 errors.
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));
/* connection to cassandra */
/* conf.set("spark.cassandra.connection.host", "127.0.0.1:9042");
CassandraConnector connector = CassandraConnector.apply(sc.getConf());
Session session = connector.openSession();
session.execute("CREATE TABLE IF NOT EXISTS testkeyspace.test_table (key INT PRIMARY KEY, value TEXT)");
*/
/* 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).writerBuilder("testkeyspace", "test_table", mapToRow(TestTable.class)).saveToCassandra();
// data.print();
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:
[INFO] Compiling 1 source file to
/root/Documents/SparkStreamSample/target/classes
[INFO] 2 errors
[INFO] -------------------------------------------------------------
[ERROR] COMPILATION ERROR :
[INFO] -------------------------------------------------------------
[ERROR] /root/Documents/SparkStreamSample/src/main/java/com/spark/SparkStream.java:[76,81]
cannot find symbol
symbol: method mapToRow(java.lang.Class<com.spark.TestTable>)
location: class com.spark.SparkStream
[ERROR] /root/Documents/SparkStreamSample/src/main/java/com/spark/SparkStream.java:[76,17]
no suitable method found for
javaFunctions(org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>)
method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.streaming.api.java.JavaDStream<T>,java.lang.Class<T>)
is not applicable
(cannot infer type-variable(s) T
(actual and formal argument lists differ in length))
method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.streaming.dstream.DStream<T>,java.lang.Class<T>)
is not applicable
(cannot infer type-variable(s) T
(actual and formal argument lists differ in length))
method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.api.java.JavaRDD<T>,java.lang.Class<T>)
is not applicable
(cannot infer type-variable(s) T
(actual and formal argument lists differ in length))
method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.rdd.RDD<T>,java.lang.Class<T>)
is not applicable
(cannot infer type-variable(s) T
(actual and formal argument lists differ in length))
method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.streaming.api.java.JavaStreamingContext)
is not applicable
(argument mismatch;
org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
cannot be converted to
org.apache.spark.streaming.api.java.JavaStreamingContext)
method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.streaming.StreamingContext)
is not applicable
(argument mismatch;
org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
cannot be converted to org.apache.spark.streaming.StreamingContext)
method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.api.java.JavaSparkContext)
is not applicable
(argument mismatch;
org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
cannot be converted to org.apache.spark.api.java.JavaSparkContext)
method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.SparkContext)
is not applicable
(argument mismatch;
org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
cannot be converted to org.apache.spark.SparkContext)
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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Re: Error: Spark-streaming to Cassandra
Posted by Tathagata Das <ta...@gmail.com>.
This seems to be compilation errors. The second one seems to be that
you are using CassandraJavaUtil.javafunctions wrong. Look at the
documentation and set the parameter list correctly.
TD
On Mon, Dec 8, 2014 at 9:47 AM, <m....@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 2 errors.
> 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));
>
>
> /* connection to cassandra */
> /* conf.set("spark.cassandra.connection.host", "127.0.0.1:9042");
> CassandraConnector connector = CassandraConnector.apply(sc.getConf());
> Session session = connector.openSession();
> session.execute("CREATE TABLE IF NOT EXISTS testkeyspace.test_table (key INT PRIMARY KEY, value TEXT)");
> */
>
> /* 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).writerBuilder("testkeyspace", "test_table", mapToRow(TestTable.class)).saveToCassandra();
> // data.print();
>
>
> 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:
>
> [INFO] Compiling 1 source file to
> /root/Documents/SparkStreamSample/target/classes
> [INFO] 2 errors
> [INFO] -------------------------------------------------------------
> [ERROR] COMPILATION ERROR :
> [INFO] -------------------------------------------------------------
> [ERROR] /root/Documents/SparkStreamSample/src/main/java/com/spark/SparkStream.java:[76,81]
> cannot find symbol
> symbol: method mapToRow(java.lang.Class<com.spark.TestTable>)
> location: class com.spark.SparkStream
> [ERROR] /root/Documents/SparkStreamSample/src/main/java/com/spark/SparkStream.java:[76,17]
> no suitable method found for
> javaFunctions(org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>)
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.streaming.api.java.JavaDStream<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.streaming.dstream.DStream<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.api.java.JavaRDD<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.rdd.RDD<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.streaming.api.java.JavaStreamingContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to
> org.apache.spark.streaming.api.java.JavaStreamingContext)
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.streaming.StreamingContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to org.apache.spark.streaming.StreamingContext)
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.api.java.JavaSparkContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to org.apache.spark.api.java.JavaSparkContext)
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.SparkContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to org.apache.spark.SparkContext)
>
>
> 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
>
> ________________________________
>
> This message is for the designated recipient only and may contain privileged, proprietary, or otherwise confidential information. If you have received it in error, please notify the sender immediately and delete the original. Any other use of the e-mail by you is prohibited. Where allowed by local law, electronic communications with Accenture and its affiliates, including e-mail and instant messaging (including content), may be scanned by our systems for the purposes of information security and assessment of internal compliance with Accenture policy.
> ______________________________________________________________________________________
>
> www.accenture.com
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
> For additional commands, e-mail: user-help@spark.apache.org
>
---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
For additional commands, e-mail: user-help@spark.apache.org
Re: Error: Spark-streaming to Cassandra
Posted by Helena Edelson <he...@datastax.com>.
I am curious why you use the 1.0.4 java artifact with the latest 1.1.0? This might be your compilation problem - The older java version.
<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>
See:
- doc https://github.com/datastax/spark-cassandra-connector/blob/master/doc/7_java_api.md
- mvn repo http://mvnrepository.com/artifact/com.datastax.spark/spark-cassandra-connector-java_2.10/1.1.0
- Helena
@helenaedelson
On Dec 8, 2014, at 12:47 PM, 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 2 errors.
> 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));
>
>
> /* connection to cassandra */
> /* conf.set("spark.cassandra.connection.host", "127.0.0.1:9042");
> CassandraConnector connector = CassandraConnector.apply(sc.getConf());
> Session session = connector.openSession();
> session.execute("CREATE TABLE IF NOT EXISTS testkeyspace.test_table (key INT PRIMARY KEY, value TEXT)");
> */
>
> /* 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).writerBuilder("testkeyspace", "test_table", mapToRow(TestTable.class)).saveToCassandra();
> // data.print();
>
>
> 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:
>
> [INFO] Compiling 1 source file to
> /root/Documents/SparkStreamSample/target/classes
> [INFO] 2 errors
> [INFO] -------------------------------------------------------------
> [ERROR] COMPILATION ERROR :
> [INFO] -------------------------------------------------------------
> [ERROR] /root/Documents/SparkStreamSample/src/main/java/com/spark/SparkStream.java:[76,81]
> cannot find symbol
> symbol: method mapToRow(java.lang.Class<com.spark.TestTable>)
> location: class com.spark.SparkStream
> [ERROR] /root/Documents/SparkStreamSample/src/main/java/com/spark/SparkStream.java:[76,17]
> no suitable method found for
> javaFunctions(org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>)
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.streaming.api.java.JavaDStream<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.streaming.dstream.DStream<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.api.java.JavaRDD<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.<T>javaFunctions(org.apache.spark.rdd.RDD<T>,java.lang.Class<T>)
> is not applicable
> (cannot infer type-variable(s) T
> (actual and formal argument lists differ in length))
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.streaming.api.java.JavaStreamingContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to
> org.apache.spark.streaming.api.java.JavaStreamingContext)
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.streaming.StreamingContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to org.apache.spark.streaming.StreamingContext)
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.api.java.JavaSparkContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to org.apache.spark.api.java.JavaSparkContext)
> method com.datastax.spark.connector.CassandraJavaUtil.javaFunctions(org.apache.spark.SparkContext)
> is not applicable
> (argument mismatch;
> org.apache.spark.streaming.api.java.JavaDStream<com.spark.TestTable>
> cannot be converted to org.apache.spark.SparkContext)
>
>
> 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
>
> ________________________________
>
> This message is for the designated recipient only and may contain privileged, proprietary, or otherwise confidential information. If you have received it in error, please notify the sender immediately and delete the original. Any other use of the e-mail by you is prohibited. Where allowed by local law, electronic communications with Accenture and its affiliates, including e-mail and instant messaging (including content), may be scanned by our systems for the purposes of information security and assessment of internal compliance with Accenture policy.
> ______________________________________________________________________________________
>
> www.accenture.com
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
> For additional commands, e-mail: user-help@spark.apache.org
>