Estou executando o trabalho spark no emr e usando o conector de dadostax para conectar-se ao cluster cassandra. Estou enfrentando problemas com o pote de goiaba. Encontre os detalhes abaixo. Estou usando abaixo os cassandra deps

cqlsh 5.0.1 | Cassandra 3.0.1 | CQL spec 3.3.1 

Executando o trabalho de faísca no EMR 4.4 com os deuses abaixo

org.apache.spark spark-streaming_2.10 1.5.0

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-core_2.10</artifactId>
    <version>1.5.0</version>
</dependency>

<dependency>
    <groupId>org.apache.spark</groupId><dependency>
    <groupId>com.datastax.spark</groupId>
    <artifactId>spark-cassandra-connector_2.10</artifactId>
    <version>1.5.0</version>
</dependency>

    <artifactId>spark-streaming-kinesis-asl_2.10</artifactId>
    <version>1.5.0</version>
</dependency>

enfrentando problemas quando envio trabalho de faísca como abaixo

ava.lang.ExceptionInInitializerError
       at com.datastax.spark.connector.cql.DefaultConnectionFactory$.clusterBuilder(CassandraConnectionFactory.scala:35)
       at com.datastax.spark.connector.cql.DefaultConnectionFactory$.createCluster(CassandraConnectionFactory.scala:87)
       at com.datastax.spark.connector.cql.CassandraConnector$.com$datastax$spark$connector$cql$CassandraConnector$createSession(CassandraConnector.scala:153)
       at com.datastax.spark.connector.cql.CassandraConnector$anonfun$2.apply(CassandraConnector.scala:148)
       at com.datastax.spark.connector.cql.CassandraConnector$anonfun$2.apply(CassandraConnector.scala:148)
       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:81)
       at ampush.event.process.core.CassandraServiceManagerImpl.getAdMetaInfo(CassandraServiceManagerImpl.java:158)
       at ampush.event.config.metric.processor.ScheduledEventAggregator$4.call(ScheduledEventAggregator.java:308)
       at ampush.event.config.metric.processor.ScheduledEventAggregator$4.call(ScheduledEventAggregator.java:290)
       at org.apache.spark.api.java.JavaRDDLike$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:222)
       at org.apache.spark.api.java.JavaRDDLike$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:222)
       at org.apache.spark.rdd.RDD$anonfun$foreachPartitionExecutando o trabalho de faísca no EMR 4.4 com os deuses abaixo$anonfun$apply$29.apply(RDD.scala:902)
       at org.apache.spark.rdd.RDD$anonfun$foreachPartitionExecutando o trabalho de faísca no EMR 4.4 com os deuses abaixo$anonfun$apply$29.apply(RDD.scala:902)
       at org.apache.spark.SparkContext$anonfun$runJob$5.apply(SparkContext.scala:1850)
       at org.apache.spark.SparkContext$anonfun$runJob$5.apply(SparkContext.scala:1850)
       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
       at org.apache.spark.scheduler.Task.run(Task.scala:88)
       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
       at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
       at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
       at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.IllegalStateException: Detected Guava issue #1635 which indicates that a version of Guava less than 16.01 is in use.  This introduces codec resolution issues and potentially other incompatibility issues in the driver.  Please upgrade to Guava 16.01 or later.
       at com.datastax.driver.core.SanityChecks.checkGuava(SanityChecks.java:62)
       at com.datastax.driver.core.SanityChecks.check(SanityChecks.java:36)
       at com.datastax.driver.core.Cluster.<clinit>(Cluster.java:67)
       ... 23 more

por favor, deixe-me saber como gerenciar goiabeiras aqui?

obrigado