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我正在尝试使用mrjob在EMR上运行hadoop,并且无法弄清楚如何设置日志记录(用户在地图/减少步骤中生成日志),以便我可以访问它们集群终止后。mrjob:在EMR上设置日志记录
我试图使用logging
模块设置日志记录,print
和sys.stderr.write()
,但目前为止没有运气。唯一适用于我的选项是将日志写入文件,然后SSH将机器读取并读取,但其繁琐。我希望我的日志转到stderr/stdout/syslog并自动收集到S3,以便在群集终止后查看它们。
这里是日志的word_freq例如:
"""The classic MapReduce job: count the frequency of words.
"""
from mrjob.job import MRJob
import re
import logging
import logging.handlers
import sys
WORD_RE = re.compile(r"[\w']+")
class MRWordFreqCount(MRJob):
def mapper_init(self):
self.logger = logging.getLogger()
self.logger.setLevel(logging.INFO)
self.logger.addHandler(logging.FileHandler("/tmp/mr.log"))
self.logger.addHandler(logging.StreamHandler())
self.logger.addHandler(logging.StreamHandler(sys.stdout))
self.logger.addHandler(logging.handlers.SysLogHandler())
def mapper(self, _, line):
self.logger.info("Test logging: %s", line)
sys.stderr.write("Test stderr: %s\n" % line)
print "Test print: %s" % line
for word in WORD_RE.findall(line):
yield (word.lower(), 1)
def combiner(self, word, counts):
yield (word, sum(counts))
def reducer(self, word, counts):
yield (word, sum(counts))
if __name__ == '__main__':
MRWordFreqCount.run()