Spark在StandAlone模式下提交任务，spark.rpc.message.maxSize太小而出错

1.错误信息org.apache.spark.SparkException: Job aborted due to stage failure:Serialized task 32:5 was 1728746673 bytes,
    which exceeds max allowed: spark.rpc.message.maxSize (134217728 bytes).    Consider increasing spark.rpc.message.maxSize or using broadcast variables for large values.at org.apache.spark.scheduler.DAGScheduler……2.错误原因　　Spark节点间传输传输过大，超过系统默认的128M，因此需要提高spark.rpc.message.maxSize的大小或者选择用broadcast广播数据。然而在某些情况下，广播数据并不能契合我们的需求，这时我们可以在提交任务时对spark.rpc.message.maxSize进行配置，调高maxSize即可。3.具体解决方案

./bin/spark-submit \  --class <main-class>  --master <master-url> \  --deploy-mode <deploy-mode> \  --conf spark.rpc.message.maxSize=256  ... # other options  <application-jar> \  [application-arguments]红色区域即可根据需求更改spark.rpc.message.maxSize的大小，举例改为256M，实测有效。