JAVA高级面试进阶训练营视频教程

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问题描述，spark-submit 用 yarn 模式提交一个python 脚本运行程序，运行到需要分布式的部分，即map/mapPartition等等RDD的时候，或者actor RDD的时候，报错如下 ：

Traceback (most recent call last):
File "/usr/lib64/python2.7/runpy.py", line 151, in _run_module_as_main
  mod_name, loader, code, fname = _get_module_details(mod_name)
File "/usr/lib64/python2.7/runpy.py", line 101, in _get_module_details
  loader = get_loader(mod_name)
File "/usr/lib64/python2.7/pkgutil.py", line 464, in get_loader
  return find_loader(fullname)
File "/usr/lib64/python2.7/pkgutil.py", line 474, in find_loader
  for importer in iter_importers(fullname):
File "/usr/lib64/python2.7/pkgutil.py", line 430, in iter_importers
  __import__(pkg)
File "/data8/yarn/local-dir/usercache/bo.feng/appcache/application_1448854352032_70810/container_1448854352032_70810_01_000002/pyspark.zip/pyspark/__init__.py", line 41, in <module>
File "/data8/yarn/local-dir/usercache/bo.feng/appcache/application_1448854352032_70810/container_1448854352032_70810_01_000002/pyspark.zip/pyspark/context.py", line 35, in <module>
File "/data8/yarn/local-dir/usercache/bo.feng/appcache/application_1448854352032_70810/container_1448854352032_70810_01_000002/pyspark.zip/pyspark/rdd.py", line 51, in <module>
File "/data8/yarn/local-dir/usercache/bo.feng/appcache/application_1448854352032_70810/container_1448854352032_70810_01_000002/pyspark.zip/pyspark/shuffle.py", line 33, in <module>
File "build/bdist.linux-x86_64/egg/psutil/__init__.py", line 89, in <module>
File "build/bdist.linux-x86_64/egg/psutil/_pslinux.py", line 24, in <module>
File "build/bdist.linux-x86_64/egg/_psutil_linux.py", line 7, in <module>
File "build/bdist.linux-x86_64/egg/_psutil_linux.py", line 4, in __bootstrap__
File "/usr/lib/python2.7/site-packages/pkg_resources.py", line 945, in resource_filename
  self, resource_name
File "/usr/lib/python2.7/site-packages/pkg_resources.py", line 1633, in get_resource_filename
  self._extract_resource(manager, self._eager_to_zip(name))
File "/usr/lib/python2.7/site-packages/pkg_resources.py", line 1661, in _extract_resource
  self.egg_name, self._parts(zip_path)
File "/usr/lib/python2.7/site-packages/pkg_resources.py", line 1025, in get_cache_path
  self.extraction_error()
File "/usr/lib/python2.7/site-packages/pkg_resources.py", line 991,     inextraction_error
  raise err
  pkg_resources.ExtractionError: Can't extract file(s) to egg cache
  The following error occurred while trying to extract file(s) to the Python egg
  cache:
    [Errno 13] Permission denied: '/home/.python-eggs' 
  The Python egg cache directory is currently set to:  
   /home/.python-eggs  
 Perhaps your account does not have write access to this directory?  You can
 change the cache directory by setting the PYTHON_EGG_CACHE environment
 variable to point to an accessible directory.

　　解决方案：

1、在你的map/mapPartition 里面的代码里面加上：

　　

os.environ['PYTHON_EGG_CACHE'] = '/tmp/.python-eggs/'
os.environ['PYTHON_EGG_DIR']='/tmp/.python-eggs/'

2、在集群的每一台机器上面配置环境变量（推荐）：

os.environ['PYTHON_EGG_CACHE'] = '/tmp/.python-eggs/'
os.environ['PYTHON_EGG_DIR']='/tmp/.python-eggs/'

3、打开spark的根目录，cd到python/lib，找到pyspark.zip文件，解压文件，cd 到pyspark里面，找到rdd.py ，vim打开，找到  “import os”这一行，在这行下面插入代码：

os.environ['PYTHON_EGG_CACHE'] = '/tmp/.python-eggs/'
os.environ['PYTHON_EGG_DIR']='/tmp/.python-eggs/'

以上三种方案都不能解决这个问题的话，建议先用 hadoop 的streaming 功能 提交一个python 的执行文件，测试yarn是否支持python运算。

然后再看看用spark的standalone模式是不是可以提交python任务。

以上。

如果还有问题，那就只能发邮件给spark的开发组了。