本文介绍了SparkContext错误-找不到文件/tmp/spark-events不存在的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
通过API调用运行Python Spark应用程序-提交申请时-回应-失败SSH进入Worker
Running a Python Spark Application via API call -On submitting the Application - response - FailedSSH into the Worker
我的python应用程序存在于
My python application exists in
/root/spark/work/driver-id/wordcount.py
可以在
/root/spark/work/driver-id/stderr
显示以下错误-
Traceback (most recent call last):
File "/root/wordcount.py", line 34, in <module>
main()
File "/root/wordcount.py", line 18, in main
sc = SparkContext(conf=conf)
File "/root/spark/python/lib/pyspark.zip/pyspark/context.py", line 115, in __init__
File "/root/spark/python/lib/pyspark.zip/pyspark/context.py", line 172, in _do_init
File "/root/spark/python/lib/pyspark.zip/pyspark/context.py", line 235, in _initialize_context
File "/root/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 1064, in __call__
File "/root/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.io.FileNotFoundException: File file:/tmp/spark-events does not exist.
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:402)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:255)
at org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:100)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:549)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
at py4j.Gateway.invoke(Gateway.java:214)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
at py4j.GatewayConnection.run(GatewayConnection.java:209)
at java.lang.Thread.run(Thread.java:745)
它表示-/tmp/spark-events不存在-是的但是，在wordcount.py
It indicates - /tmp/spark-events Does not exist - which is trueHowever, in wordcount.py
from pyspark import SparkContext, SparkConf
... few more lines ...
def main():
conf = SparkConf().setAppName("MyApp").setMaster("spark://ec2-54-209-108-127.compute-1.amazonaws.com:7077")
sc = SparkContext(conf=conf)
sc.stop()
if __name__ == "__main__":
main()
推荐答案
/tmp/spark-events 是Spark存储事件日志的位置.只需在主计算机上创建此目录即可.
/tmp/spark-events is the location that Spark store the events logs. Just create this directory in the master machine and you're set.
$mkdir /tmp/spark-events
$ sudo /root/spark-ec2/copy-dir /tmp/spark-events/
RSYNC'ing /tmp/spark-events to slaves...
ec2-54-175-163-32.compute-1.amazonaws.com
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