gistfile1.py

#!/usr/bin/env python

import hashlib
import logging

import boto
import config
import happybase

logger = logging.getLogger(__name__)


class HBase(object):
    def __init__(self):
        logger.info('connected to %s' % config.THRIFT_ADDR)
        conn = happybase.Connection(config.THRIFT_ADDR)
        self.table = conn.table(config.HBASE_TABLE)

    def get_crashes(self):
        logger.info('start table scan')
        result = self.table.scan(
            columns=['raw_data'],
            batch_size=10,
            limit=10
        )
        for key, data in result:
            yield (key, data)

def main():
    conn = boto.connect_s3(config.AWS_KEY, config.AWS_SECRET_KEY)
    bucket = conn.get_bucket(config.BUCKET_NAME)
    logger.info('connected to bucket %s' % config.BUCKET_NAME)
    hbase = HBase()
    for counter, crash in enumerate(hbase.get_crashes()):
        (key, data) = crash
        crash_id = key[7:]
        path = '%s/%s' % (config.PREFIX, crash_id)
        logger.debug('fetching crash from S3: %s' % path)
        # NOTE - Amazon sets ETag to an md5sum, on objects under 5GB
        # See http://docs.aws.amazon.com/AmazonS3/latest/API/RESTCommonResponseHeaders.html
        s3_checksum = bucket.lookup('%s' % (path)).etag.strip('"')
        s3_key = bucket.get_key('%s' % path)
        logger.debug('S3 checksum for %s: %s', crash_id, s3_checksum)
        md5 = hashlib.md5()
        md5.update(data['raw_data:dump'])
        hb_checksum = md5.hexdigest()
        logger.debug('HB checksum for %s: %s', crash_id, hb_checksum)
        if (s3_checksum != hb_checksum):
            logger.warn('MD5 checksum mismatch: %s' % key)
        else:
            logger.debug('MD5 checksums match: %s' % key)

    logger.info('Compared %s crashes' % (counter+1))

if __name__ == '__main__':
    logging.basicConfig(
        format='%(asctime)s %(name)s:%(levelname)s: %(message)s',
        level=logging.INFO
    )
    main()