Spark-Cassandra Connector : Failed to open native connection to Cassandra - cassandra

Question

I am new to Spark and Cassandra. On trying to submit a spark job, I am getting an error while connecting to Cassandra.
Details:
Versions:
Spark : 1.3.1 (build for hadoop 2.6 or later : spark-1.3.1-bin-hadoop2.6)
Cassandra : 2.0
Spark-Cassandra-Connector: 1.3.0-M1
scala : 2.10.5
Spark and Cassandra is on a virtual cluster
Cluster details:
Spark Master : 192.168.101.13
Spark Slaves : 192.168.101.11 and 192.168.101.12
Cassandra Nodes: 192.168.101.11 (seed node) and 192.168.101.12
I am trying to submit a job through my client machine (laptop) - 172.16.0.6.
After googling for this error, I have made sure that I can ping all the machines on the cluster from the client machine : spark master/slaves and cassandra nodes and also disabled the firewall on all machines. But I am
still struggling with this error.
Cassandra.yaml
listen_address: 192.168.101.11 (192.168.101.12 on other cassandra node)
start_native_transport: true
native_transport_port: 9042
start_rpc: true
rpc_address: 192.168.101.11 (192.168.101.12 on other cassandra node)
rpc_port: 9160
I am trying to run a minimal sample job
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import com.datastax.spark.connector._
val rdd = sc.cassandraTable("test", "words")
rdd.toArray.foreach(println)
To submit the job, I use spark-shell (:paste the code in spark shell):
spark-shell --jars "/home/ameya/.m2/repository/com/datastax/spark/spark-cassandra-connector_2.10/1.3.0-M1/spark-cassandra-connector_2.10-1.3.0-M1.jar","/home/ameya/.m2/repository/com/datastax/cassandra/cassandra-driver-core/2.1.5/cassandra-driver-core-2.1.5.jar","/home/ameya/.m2/repository/com/google/collections/google-collections/1.0/google-collections-1.0.jar","/home/ameya/.m2/repository/io/netty/netty/3.8.0.Final/netty-3.8.0.Final.jar","/home/ameya/.m2/repository/com/google/guava/guava/14.0.1/guava-14.0.1.jar","/home/ameya/.m2/repository/io/dropwizard/metrics/metrics-core/3.1.0/metrics-core-3.1.0.jar","/home/ameya/.m2/repository/org/slf4j/slf4j-api/1.7.10/slf4j-api-1.7.10.jar","/home/ameya/.m2/repository/com/google/collections/google-collections/1.0/google-collections-1.0.jar","/home/ameya/.m2/repository/io/netty/netty/3.8.0.Final/netty-3.8.0.Final.jar","/home/ameya/.m2/repository/com/google/guava/guava/14.0.1/guava-14.0.1.jar","/home/ameya/.m2/repository/org/apache/cassandra/cassandra-clientutil/2.1.5/cassandra-clientutil-2.1.5.jar","/home/ameya/.m2/repository/joda-time/joda-time/2.3/joda-time-2.3.jar","/home/ameya/.m2/repository/org/apache/cassandra/cassandra-thrift/2.1.3/cassandra-thrift-2.1.3.jar","/home/ameya/.m2/repository/org/joda/joda-convert/1.2/joda-convert-1.2.jar","/home/ameya/.m2/repository/org/apache/thrift/libthrift/0.9.2/libthrift-0.9.2.jar","/home/ameya/.m2/repository/org/apache/thrift/libthrift/0.9.2/libthrift-0.9.2.jar" --master spark://192.168.101.13:7077 --conf spark.cassandra.connection.host=192.168.101.11 --conf spark.cassandra.auth.username=cassandra --conf spark.cassandra.auth.password=cassandra
The error I am getting:
warning: there were 1 deprecation warning(s); re-run with -deprecation for details
**java.io.IOException: Failed to open native connection to Cassandra at {192.168.101.11}:9042**
at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$$createSession(CassandraConnector.scala:181)
at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$2.apply(CassandraConnector.scala:167)
at com.datastax.spark.connector.cql.CassandraConnector$$anonfun$2.apply(CassandraConnector.scala:167)
at com.datastax.spark.connector.cql.RefCountedCache.createNewValueAndKeys(RefCountedCache.scala:31)
at com.datastax.spark.connector.cql.RefCountedCache.acquire(RefCountedCache.scala:56)
at com.datastax.spark.connector.cql.CassandraConnector.openSession(CassandraConnector.scala:76)
at com.datastax.spark.connector.cql.CassandraConnector.withSessionDo(CassandraConnector.scala:104)
at com.datastax.spark.connector.cql.CassandraConnector.withClusterDo(CassandraConnector.scala:115)
at com.datastax.spark.connector.cql.Schema$.fromCassandra(Schema.scala:243)
at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.tableDef(CassandraTableRowReaderProvider.scala:49)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef$lzycompute(CassandraTableScanRDD.scala:59)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.tableDef(CassandraTableScanRDD.scala:59)
at com.datastax.spark.connector.rdd.CassandraTableRowReaderProvider$class.verify(CassandraTableRowReaderProvider.scala:148)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.verify(CassandraTableScanRDD.scala:59)
at com.datastax.spark.connector.rdd.CassandraTableScanRDD.getPartitions(CassandraTableScanRDD.scala:118)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1512)
at org.apache.spark.rdd.RDD.collect(RDD.scala:813)
at org.apache.spark.rdd.RDD.toArray(RDD.scala:833)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:33)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:40)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:48)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:50)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:52)
at $iwC$$iwC$$iwC.<init>(<console>:54)
at $iwC$$iwC.<init>(<console>:56)
at $iwC.<init>(<console>:58)
at <init>(<console>:60)
at .<init>(<console>:64)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:856)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:901)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:656)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:664)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:669)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:996)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
**Caused by: com.datastax.driver.core.exceptions.NoHostAvailableException: All host(s) tried for query failed (tried: /192.168.101.11:9042 (com.datastax.driver.core.TransportException: [/192.168.101.11:9042] Connection has been closed))**
at com.datastax.driver.core.ControlConnection.reconnectInternal(ControlConnection.java:223)
at com.datastax.driver.core.ControlConnection.connect(ControlConnection.java:78)
at com.datastax.driver.core.Cluster$Manager.init(Cluster.java:1236)
at com.datastax.driver.core.Cluster.getMetadata(Cluster.java:333)
at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$$createSession(CassandraConnector.scala:174)
... 71 more
Can anyone point out what am I doing wrong here ?

Answer 1

you did not specified spark.cassandra.connection.host by default spark assume that cassandra host is same as spark master node.
var sc:SparkContext=_
val conf = new SparkConf().setAppName("Cassandra Demo").setMaster(master)
.set("spark.cassandra.connection.host", "192.168.101.11")
c=new SparkContext(conf)
val rdd = sc.cassandraTable("test", "words")
rdd.toArray.foreach(println)
it should work if you have properly set seed nodein cassandra.yaml

Answer 2

I struggled with this issue overnight, and finally got a combination that works. I am writing it down for those who may run into similar issue.
First of all, this is a version issue cassandra-driver-core's dependency. But to track down the exact combination that works takes me quite a bit time.
Secondly, this is the combination that works for me.
Spark 1.6.2 with Hadoop 2.6, cassandra 2.1.5 (Ubuntu 14.04, Java 1.8),
In built.sbt (sbt assembly, scalaVersion := "2.10.5"), use
"com.datastax.spark" %% "spark-cassandra-connector" % "1.4.0",
"com.datastax.cassandra" % "cassandra-driver-core" % "2.1.5"
Thirdly, let me clarify my frustrations. With spark-cassandra-connector 1.5.0, I can run the assembly with spark-submit with --master "local[2]" on the same machine with remote cassandra connection without any problem. Any combination of connector 1.5.0, 1.6.0 with Cassandra 2.0, 2.1, 2.2, 3,4 works well. But if I try to submit the job to a cluster from the same machine (NodeManager) with --master yarn --deploy-mode cluster, then I will always run into the problem: Failed to open native connection to Cassandra at {192.168.122.12}:9042
What is going on here? Any from DataStarX can take a look at this issue? I can only guess it has something to do with "cqlversion", which should match the version of Cassandra cluster.
Anybody know a better solution? [cassandra], [apache-spark]

Answer 3

It's worked finally :
steps :
set listen_address to private IP of EC2 instance.
do not set any broadcast_address
set rpc_address to 0.0.0.0
set broadcast_rpc_address to public ip of EC2 instance.

Answer 4

The issue resolved. It was due to some mess up with the dependencies. I built a jar with dependencies and passed it to spark-submit, instead of specifying dependent jars separately.

Answer 5

This is an issue with version of the cassandra-driver-core jar's dependency.
The provided cassandra's version is 2.0
The provided cassandra-driver-core jar's version is 2.1.5
The jar should be the same as the version of the cassandra running.
In this case, the included jar file should be cassandra-driver-core-2.0.0.jar