这句话的意思是,在一个Java虚拟机(JVM)中,只能运行一个SparkContext实例。SparkContext是Apache Spark的核心组件,用于与Spark集群进行交互。如果在同一个JVM中尝试创建多个SparkContext实例,就会违反这一限制,并可能引发错误。这个限制是为了防止资源冲突和数据不一致等问题。 提供解决“only one sparkcontext may be r...
出现这个问题的原因就是你创建了多个SparkContext,很显然,在main方法之外我已经创建了一个SparkContext,所以main里面的就可以删除了。
Only one SparkContext may be running in this JVM (see SPARK-2243). To ignore this error, set spark.driver.allowMultipleContexts = true. The currently running SparkContext was created at: org.apache.spark.SparkContext.<init>(SparkContext.scala:82) I tried this below but doesn'...
SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time). - fixed Only one SparkContext may be running in this JVM (see SPARK-2243) · Huoxi-any/incubator-seat
sc = new SparkContext(conf) val scheduler = mock[TaskSchedulerImpl] when(scheduler.sc).thenReturn(sc) when(scheduler.mapOutputTracker).thenReturn(SparkEnv.get.mapOutputTracker) when(scheduler.mapOutputTracker).thenReturn( SparkEnv.get.mapOutputTracker.asInstanceOf[MapOutputTrackerMaster]) scheduler }...