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zipnumclusterjob.py
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zipnumclusterjob.py
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import logging
import shutil
import sys
import os
import zlib
import urlparse
import json
from tempfile import TemporaryFile
from mrjob.job import MRJob
from mrjob.conf import combine_dicts
from mrjob.protocol import RawProtocol, RawValueProtocol
from mrjob.util import log_to_stream
LOG = logging.getLogger('ZipNumClusterJob')
log_to_stream(format="%(asctime)s %(levelname)s %(name)s: %(message)s",name='ZipNumClusterJob')
#=============================================================================
class ZipNumClusterJob(MRJob):
HADOOP_INPUT_FORMAT = 'org.apache.hadoop.mapred.lib.CombineTextInputFormat'
PARTITIONER = 'org.apache.hadoop.mapred.lib.TotalOrderPartitioner'
INPUT_PROTOCOL = RawValueProtocol
OUTPUT_PROTOCOL = RawValueProtocol
INTERNAL_PROTOCOL = RawProtocol
JOBCONF = {'mapreduce.task.timeout': '9600000',
'mapreduce.input.fileinputformat.split.maxsize': '50000000',
'mapreduce.map.speculative': 'false',
'mapreduce.reduce.speculative': 'false',
'mapreduce.output.fileoutputformat.compress': 'false',
'mapreduce.job.reduce.slowstart.completedmaps': '1.0',
'mapreduce.job.jvm.numtasks': '-1'
}
def configure_args(self):
"""Custom command line options for indexing"""
super(ZipNumClusterJob, self).configure_args()
self.add_passthru_arg('--numlines', dest='numlines',
type=int,
default=3000,
help='Number of lines per gzipped block')
self.add_passthru_arg('--splitfile', dest='splitfile',
help='Split file to use for CDX shard split')
self.add_passthru_arg('--convert', dest='convert',
action='store_true',
default=False,
help='Convert CDX through _convert_line() function')
self.add_passthru_arg('--shards', dest='shards',
type=int,
help='Num ZipNum Shards to create, ' +
'= num of entries in splits + 1' +
'= num of reducers used')
self.add_passthru_arg('--s3-upload-acl', dest='s3acl',
help='S3 access permissions (ACL) to be applied to CDX files')
def jobconf(self):
orig_jobconf = super(ZipNumClusterJob, self).jobconf()
custom_jobconf = {'mapreduce.job.reduces': self.options.shards,
'mapreduce.totalorderpartitioner.path': self.options.splitfile}
combined = combine_dicts(orig_jobconf, custom_jobconf)
return combined
def mapper_init(self):
pass
def mapper(self, _, line):
line = line.split('\t')[-1]
if not line.startswith(' CDX'):
if self.options.convert:
line = self._convert_line(line)
yield line, ''
def _convert_line(self, line):
key, ts, url, length, offset, warc = line.split(' ')
key = key.replace(')', ',)', 1)
vals = {'o': offset, 's': length, 'w': warc, 'u': url}
return key + ' ' + ts + ' ' + json.dumps(vals)
def _get_prop(self, proplist):
for p in proplist:
res = os.environ.get(p)
if res:
return res
def reducer_init(self):
self.curr_lines = []
self.curr_key = ''
self.part_num = self._get_prop(['mapreduce_task_partition', 'mapred_task_partition'])
assert(self.part_num)
self.part_name = 'cdx-%05d.gz' % int(self.part_num)
self.output_dir = self._get_prop(['mapreduce_output_fileoutputformat_outputdir',
'mapred.output.dir',
'mapred_work_output_dir'])
assert(self.output_dir)
self.gzip_temp = TemporaryFile(mode='w+b')
def reducer(self, key, values):
if key:
self.curr_lines.append(key)
for x in values:
if x:
self.curr_lines.append(x)
if len(self.curr_lines) == 1:
self.curr_key = ' '.join(key.split(' ', 2)[0:2])
if len(self.curr_lines) >= self.options.numlines:
yield '', self._write_part()
def reducer_final(self):
if len(self.curr_lines) > 0:
yield '', self._write_part()
self._do_upload()
def _do_upload(self):
self.gzip_temp.flush()
self.gzip_temp.seek(0)
#TODO: move to generalized put() function
if self.output_dir.startswith('s3://') or self.output_dir.startswith('s3a://'):
import boto3
import botocore
boto_config = botocore.client.Config(
read_timeout=180,
retries={'max_attempts' : 20})
s3client = boto3.client('s3', config=boto_config)
s3args = None
if self.options.s3acl:
s3args = {'ACL': self.options.s3acl}
parts = urlparse.urlsplit(self.output_dir)
s3key = parts.path.strip('/') + '/' + self.part_name
s3url = parts.scheme + '://' + parts.netloc + '/' + s3key
LOG.info('Uploading index to ' + s3url)
try:
s3client.upload_fileobj(self.gzip_temp, parts.netloc, s3key,
ExtraArgs=s3args)
except botocore.client.ClientError as exception:
LOG.error('Failed to upload {}: {}'.format(s3url, exception))
return
LOG.info('Successfully uploaded index file: ' + s3url)
else:
path = os.path.join(self.output_dir, self.part_name)
with open(path, 'w+b') as target:
shutil.copyfileobj(self.gzip_temp, target)
self.gzip_temp.close()
def _write_part(self):
z = zlib.compressobj(6, zlib.DEFLATED, zlib.MAX_WBITS + 16)
offset = self.gzip_temp.tell()
buff = '\n'.join(self.curr_lines) + '\n'
self.curr_lines = []
buff = z.compress(buff)
self.gzip_temp.write(buff)
buff = z.flush()
self.gzip_temp.write(buff)
self.gzip_temp.flush()
length = self.gzip_temp.tell() - offset
partline = '{0}\t{1}\t{2}\t{3}'.format(self.curr_key, self.part_name, offset, length)
return partline
if __name__ == "__main__":
ZipNumClusterJob.run()