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spark报错Initial job has not accepted any resources; check your cluster UI to ensure that workers are

spark报错Initial job has not accepted any resources; check your cluster UI to ensure that workers are

报错:

 Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
 

我在jupyter notebook中以:

spark = SparkSession.builder.master('spark://hadoop101:7077').appName('apply123').getOrCreate()  创建的application的Executor会使用spark-env.sh配置文件中设置的内存和core数量,如下:

export SPARK_WORKER_CORES=2
export SPARK_EXECUTOR_MEMORY=900m

http://hadoop101:8080/

900m<1024,不会报错。

如果改为:

 export SPARK_EXECUTOR_MEMORY=1900m

然后在jupyter notebook中以:

spark = SparkSession.builder.master('spark://hadoop101:7077').appName('apply123').getOrCreate()  创建的application,如图:

 会报错。

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