老师您好，我在本地联调的时候Flume是正常启动的，但是在SparkStreaming应用程序启动以后Flume就会报错。
错误信息：

2019-05-30 00:27:28,705 (Spark Sink Processor Thread - 10) [WARN - org.apache.spark.streaming.flume.sink.Logging$class.logWarning(Logging.scala:80)] Error while processing transaction.
java.lang.IllegalStateException: begin() called when transaction is OPEN!
	at com.google.common.base.Preconditions.checkState(Preconditions.java:145)
	at org.apache.flume.channel.BasicTransactionSemantics.begin(BasicTransactionSemantics.java:131)
	at org.apache.spark.streaming.flume.sink.TransactionProcessor$$anonfun$populateEvents$1.apply(TransactionProcessor.scala:114)
	at org.apache.spark.streaming.flume.sink.TransactionProcessor$$anonfun$populateEvents$1.apply(TransactionProcessor.scala:113)
	at scala.Option.foreach(Option.scala:236)
	at org.apache.spark.streaming.flume.sink.TransactionProcessor.populateEvents(TransactionProcessor.scala:113)
	at org.apache.spark.streaming.flume.sink.TransactionProcessor.call(TransactionProcessor.scala:243)
	at org.apache.spark.streaming.flume.sink.TransactionProcessor.call(TransactionProcessor.scala:43)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
2019-05-30 00:27:28,706 (Spark Sink Processor Thread - 10) [WARN - org.apache.spark.streaming.flume.sink.Logging$class.logWarning(Logging.scala:59)] Spark was unable to successfully process the events. Transaction is being rolled back.
2019-05-30 00:27:28,706 (New I/O  worker #1) [WARN - org.apache.spark.streaming.flume.sink.Logging$class.logWarning(Logging.scala:59)] Received an error batch - no events were received from channel! 

我使用的是2.3.3版本的Spark，但是maven的依赖中没有2.3.3的依赖，所以用的是2.3.2的依赖，在Push style中是可以运行的。会不会是因为Spark的版本问题啊？