apache-spark - 检测到 Guava 问题 #1635，表明正在使用低于 16.01 的 Guava 版本

Question

我正在 emr 上运行 spark 作业并使用 datastax 连接器连接到 cassandra 集群。我遇到了 Guava jar 的问题，请查看以下详细信息
我正在使用下面的 cassandra deps

cqlsh 5.0.1 | Cassandra 3.0.1 | CQL spec 3.3.1 

在 EMR 4.4 上使用低于 maven deps 运行 spark 作业

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>

当我提交 Spark 作业时遇到问题，如下所示

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

请让我知道如何在这里管理 Guava 树？

谢谢

Answer 1

另一种解决方案，转到目录

spark/jars

.重命名 guava-14.0.1.jar然后复制 guava-19.0.jar像这张图: