Detected Guava issue #1635 which indicates that a version of Guava less than 16.01 is in use

Karn_way picture Karn_way · Apr 27, 2016 · Viewed 7.4k times · Source

I am running spark job on emr and using datastax connector to connect to cassandra cluster. I am facing issues with the guava jar please find the details as below I am using below cassandra deps

cqlsh 5.0.1 | Cassandra 3.0.1 | CQL spec 3.3.1 

Running spark job on EMR 4.4 with below maven deps

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>

facing issues when i submit spark job as below

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$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:902)
       at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:902)
       at org.apache.spark.SparkContext$$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

please let me know how to manage guava deps here ?

Thanks

Answer

songoku1610 picture songoku1610 · Oct 3, 2016

Another solution, Go to directory

spark/jars

. Rename guava-14.0.1.jar then copy guava-19.0.jar like this picture:

enter image description here