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我正在嘗試使用mrjob在EMR上運行hadoop,並且無法弄清楚如何設置日誌記錄(用戶在地圖/減少步驟中生成日誌),以便我可以訪問它們集羣終止後。mrjob:在EMR上設置日誌記錄
我試圖使用logging
模塊設置日誌記錄,print
和sys.stderr.write()
,但目前爲止沒有運氣。唯一適用於我的選項是將日誌寫入文件,然後SSH將機器讀取並讀取,但其繁瑣。我希望我的日誌轉到stderr/stdout/syslog並自動收集到S3,以便在羣集終止後查看它們。
這裏是日誌的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()