spark cassandra应用程序因RECEIVED SIGNAL 15：SIGTERM而失败

我正在使用spark-cassandra-connector运行一个spark应用程序 .

以下是我的spark-submit选项

--class com.mobi.vserv.driver.Query5kPids1 --num-executors 4 --executor-memory 4g --executor-cores 2 --driver-memory 4g

但我不断收到以下错误

16/03/30 11:57:07 ERROR executor.CoarseGrainedExecutorBackend：Driver 10.225.46.84:60637解除了关联！关机

cassandra也连接起来然后断开连接

INFO Cluster: New Cassandra host /10.229.84.123:9042 added

INFO LocalNodeFirstLoadBalancingPolicy: Added host 10.229.84.123 (us-east)

INFO Cluster: New Cassandra host /10.229.19.210:9042 added -> This is Seed Node
(This Message -> INFO LocalNodeFirstLoadBalancingPolicy: Doesnt show for Seed Node)

INFO Cluster: New Cassandra host /10.95.215.249:9042 added

INFO LocalNodeFirstLoadBalancingPolicy: Added host 10.95.215.249 (us-east)

INFO Cluster: New Cassandra host /10.43.182.167:9042 added

INFO LocalNodeFirstLoadBalancingPolicy: Added host 10.43.182.167 (us-east)

INFO Cluster: New Cassandra host /10.155.34.67:9042 added

INFO LocalNodeFirstLoadBalancingPolicy: Added host 10.155.34.67 (us-east)

INFO Cluster: New Cassandra host /10.237.235.209:9042 added

INFO LocalNodeFirstLoadBalancingPolicy: Added host 10.237.235.209 (us-east)

INFO CassandraConnector: Connected to Cassandra cluster: dmp Cluster

INFO CassandraConnector: Disconnected from Cassandra cluster: dmp Cluster

最后Yarn杀死应用程序主人

ERROR ApplicationMaster：RECEIVED SIGNAL 15：SIGTERM

我还补充道

--conf spark.yarn.executor.memoryOverhead = 1024 --conf spark.yarn.driver.memoryOverhead = 1024

但随后应用程序将永远运行 .

我不知道这里似乎是什么问题，因为之前运行过应用程序并且它成功运行

使用的POM是

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-core_2.10</artifactId>
    <version>1.6.0</version>
  </dependency>

  <dependency>
    <groupId>com.datastax.spark</groupId>
    <artifactId>spark-cassandra-connector_2.10</artifactId>
    <version>1.4.0-M1</version>
  </dependency>

  <dependency>
   <groupId>com.datastax.cassandra</groupId>
   <artifactId>cassandra-driver-core</artifactId>
   <version>2.1.6</version>
  </dependency>

  <dependency>
   <groupId>com.datastax.spark</groupId>
   <artifactId>spark-cassandra-connector-java_2.10</artifactId>
   <version>1.4.0-M1</version>
  </dependency>