我正在尝试在独立的Spark集群上运行一个简单的Python脚本。群集具有一个运行prop="distributed-dev.properties, database-${DEPLOY_ENV}.properties, compute-${DEPLOY_ENV}.properties"
的节点和两个运行bin/start-master.sh
的节点。查看主节点上的Spark UI,我可以看到主节点可以看到工作线程。这是我的小Python测试脚本:
bin/start-slave.sh
我使用以下命令在单独的节点上运行此命令:
from pyspark import SparkContext
def add_three(num: int):
return num + 3
print("Initializing spark context....")
sc = SparkContext(appName="test.py")
arr = [x for x in range(1000)]
print(f'Initial array: {arr}')
res = (sc.parallelize(arr)
.map(lambda x: add_three(x))
.collect())
print(f'Transformed array: {res}')
sc.stop()
这使事情开始,我可以在主用户界面中看到该应用程序。在输出中,将打印初始数组,但随后会有连续的工作流退出和启动。这是主日志:
bin/spark-submit --master spark://spark-master:7077 test.py
我知道在我的pyspark脚本中使用2018-08-31 21:23:12 INFO Master:54 - I have been elected leader! New state: ALIVE
2018-08-31 21:23:18 INFO Master:54 - Registering worker 10.1.2.93:38905 with 1 cores, 1024.0 MB RAM
2018-08-31 21:23:20 INFO Master:54 - Registering worker 10.1.1.107:36421 with 1 cores, 1024.0 MB RAM
2018-08-31 21:25:51 INFO Master:54 - Registering app test.py
2018-08-31 21:25:51 INFO Master:54 - Registered app test.py with ID app-20180831212551-0000
2018-08-31 21:25:52 INFO Master:54 - Launching executor app-20180831212551-0000/0 on worker worker-20180831212319-10.1.1.107-36421
2018-08-31 21:25:52 INFO Master:54 - Launching executor app-20180831212551-0000/1 on worker worker-20180831212318-10.1.2.93-38905
2018-08-31 21:25:53 INFO Master:54 - Removing executor app-20180831212551-0000/0 because it is EXITED
2018-08-31 21:25:53 INFO Master:54 - Launching executor app-20180831212551-0000/2 on worker worker-20180831212319-10.1.1.107-36421
2018-08-31 21:25:55 INFO Master:54 - Removing executor app-20180831212551-0000/2 because it is EXITED
2018-08-31 21:25:55 INFO Master:54 - Launching executor app-20180831212551-0000/3 on worker worker-20180831212319-10.1.1.107-36421
2018-08-31 21:25:55 INFO Master:54 - Removing executor app-20180831212551-0000/1 because it is EXITED
2018-08-31 21:25:55 INFO Master:54 - Launching executor app-20180831212551-0000/4 on worker worker-20180831212318-10.1.2.93-38905
2018-08-31 21:25:56 INFO Master:54 - Removing executor app-20180831212551-0000/3 because it is EXITED
2018-08-31 21:25:56 INFO Master:54 - Launching executor app-20180831212551-0000/5 on worker worker-20180831212319-10.1.1.107-36421
时此方法有效。驱动程序日志或执行程序日志似乎都没有任何错误,因此我没有出现问题的线索,但它们都在启动和删除执行程序的过程中不断滚动。
任何见识将不胜感激!谢谢!
答案 0 :(得分:0)
事实证明这是网络问题。我在单独的Docker容器中运行我的spark工作者,master和驱动程序,需要公开它们之间的端口。特别是spark.driver.port
,spark.ui.port
和spark.blockManager.port
的端口。我可以通过遵循dockerfile并在此仓库中运行脚本来使工作正常:https://github.com/tashoyan/docker-spark-submit
谢谢!