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import_logs.py
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import_logs.py
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import argparse
import logging
import gzip
import csv
import sys
import glob
import itertools
import simplejson as json
from datetime import datetime
import requests
logger = logging.getLogger(__name__)
null = None
def batchify(items, batch_size=100):
items = iter(items)
item_batch = list(itertools.islice(items, 0, batch_size))
while len(item_batch) > 0:
yield item_batch
item_batch = list(itertools.islice(items, 0, batch_size))
def get_logs(log_filename):
logger.info('Extracting logs from %s...', log_filename)
with gzip.open(log_filename, 'r') as r:
reader = csv.reader(r, dialect=csv.excel_tab)
rows = []
header = []
for row in itertools.islice(reader, 1, 2):
header = row[0]
header = header.replace('#Fields: ', '', 1)
header = header.split(' ')
for row in reader:
row_dict = {}
for column, name in itertools.izip(row, header):
row_dict[name] = column
rows.append(row_dict)
logger.info('Extracted %d log items from %s', len(rows), log_filename)
return rows
def import_logs(logs, es_url, index, doc_type, batch_size=1000):
total_item_count = 0
total_item_bytes = 0
total_ms = 0
for batch in batchify(logs, batch_size=batch_size):
bulk_index_url = '{es_url}/{index}/_bulk'.format(es_url=es_url, index=index)
bulk_index_content = '\n'.join(
itertools.chain(
*[(
json.dumps({
'index': {
'_type' : doc_type,
'_id': datetime.utcnow().isoformat()
}
}
),
json.dumps(log)) for log in batch]
)
) + '\n'
item_count = len(batch)
total_item_count = total_item_count + item_count
item_bytes = len(json.dumps(batch))
total_item_bytes = total_item_bytes + item_bytes
start_time = datetime.now()
headers = { "Content-Type": "application/json" }
resp = requests.post(bulk_index_url, data=bulk_index_content, headers=headers)
resp_json = resp.json()
if resp.status_code != 200:
logger.error(json.dumps(resp_json, indent=2))
end_time = datetime.now()
batch_ms = int((end_time - start_time).total_seconds() * 1000)
total_ms = total_ms + batch_ms
us_per_item = int(batch_ms * 1000 / item_count)
logger.info('Imported {item_count} log items into {index} in {batch_ms}ms at {us_per_item}us per log item'.format(
item_count=item_count, index=index, item_bytes=item_bytes, batch_ms=batch_ms, us_per_item=us_per_item
))
logger.info('Cumulatively imported {total_item_count} log items ({total_item_mb}mb) in {total_min}min at {us_per_item}us per log item ({kb_per_sec}kB/s)'.format(
total_item_count=total_item_count,
total_item_mb=int(total_item_bytes/(1024*1024)),
total_min=int(total_ms/(1000*60)),
us_per_item=int(total_ms * 1000 / total_item_count),
kb_per_sec=0 if total_ms == 0 else int((total_item_bytes*1000)/(total_ms*1024))
))
def clean_index(index):
resp = requests.delete("{es_url}/{index}".format(es_url=es_url, index=index))
resp_json = resp.json()
if resp.status_code != 404:
logger.info("Deleted index '%s'", index)
else:
logger.error("Deleting index '%s' failed with %d status code", index, resp.status_code)
logger.error(resp_json)
sys.exit(1)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Imports Cloudfront logs into ElasticSearch')
parser.add_argument('-v', '--verbosity', help='Set logging level', default='ERROR')
parser.add_argument('-l', '--log_file_pattern',
action='store',
required=True,
help='Log file pattern')
parser.add_argument('-e', '--es_url',
action='store',
default='http://localhost:9200',
help='ElasticSearch root URL')
parser.add_argument('-c', '--clean_index',
action='store_true',
default=False,
help='Clean existing documents of type in the index')
parser.add_argument('-i', '--index',
action='store',
default='cloudfront',
help='Name of the index')
parser.add_argument('-t', '--type',
action='store',
default='logs',
help='Name of the type')
args = parser.parse_args()
log_handler = logging.StreamHandler()
log_handler.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
logger.addHandler(log_handler)
logger.setLevel(getattr(logging, args.verbosity))
# reading logs
logger.info(args)
log_files = glob.glob(args.log_file_pattern)
logger.info("Found %d matching log files for pattern '%s'", len(log_files), args.log_file_pattern)
logs = []
for log_file in iter(log_files):
logger.info('---------------------------')
logger.info(log_file)
logs.extend(get_logs(log_file))
logger.info('---------------------------')
logger.info('Cumulatively extracted %d log items from %s files', len(logs), len(log_files))
es_url = args.es_url.strip('/')
index = args.index
doc_type= args.type
if args.clean_index:
clean_index(index)
import_logs(logs, es_url, index, doc_type)