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节点间传输的数据过大，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。
