def ingest_file(file,partition,hdfs_root_path,topic,kafka_servers):
logger = logging.getLogger('SPOT.INGEST.FLOW.{0}'.format(os.getpid()))
try:
# get file name and date.
file_name_parts = file.split('/')
file_name = file_name_parts[len(file_name_parts)-1]
file_date = file_name.split('.')[1]
file_date_path = file_date[0:8]
file_date_hour = file_date[8:10]
# hdfs path with timestamp.
hdfs_path = "{0}/binary/{1}/{2}".format(hdfs_root_path,file_date_path,file_date_hour)
Util.creat_hdfs_folder(hdfs_path,logger)
# load to hdfs.
hdfs_file = "{0}/{1}".format(hdfs_path,file_name)
Util.load_to_hdfs(file,hdfs_file,logger)
# create event for workers to process the file.
logger.info("Sending file to worker number: {0}".format(partition))
KafkaTopic.SendMessage(hdfs_file,kafka_servers,topic,partition)
logger.info("File {0} has been successfully sent to Kafka Topic to: {1}".format(file,topic))
except Exception as err:
logger.error("There was a problem, please check the following error message:{0}".format(err.message))
logger.error("Exception: {0}".format(err))
def ingest_file(file, partition, hdfs_root_path, topic, kafka_servers):
logger = logging.getLogger('SPOT.INGEST.FLOW.{0}'.format(os.getpid()))
try:
# get file name and date.
file_name_parts = file.split('/')
file_name = file_name_parts[len(file_name_parts) - 1]
file_date = file_name.split('.')[1]
file_date_path = file_date[0:8]
file_date_hour = file_date[8:10]
# hdfs path with timestamp.
hdfs_path = "{0}/binary/{1}/{2}".format(hdfs_root_path, file_date_path,
file_date_hour)
Util.creat_hdfs_folder(hdfs_path, logger)
# load to hdfs.
hdfs_file = "{0}/{1}".format(hdfs_path, file_name)
Util.load_to_hdfs(file, hdfs_file, logger)
# create event for workers to process the file.
logger.info("Sending file to worker number: {0}".format(partition))
KafkaTopic.SendMessage(hdfs_file, kafka_servers, topic, partition)
logger.info(
"File {0} has been successfully sent to Kafka Topic to: {1}".
format(file, topic))
except Exception as err:
logger.error(
"There was a problem, please check the following error message:{0}"
.format(err.message))
logger.error("Exception: {0}".format(err))
def ingest_file(file, pkt_num, pcap_split_staging, partition, hdfs_root_path,
topic, kafka_servers):
logger = logging.getLogger('SPOT.INGEST.DNS.{0}'.format(os.getpid()))
try:
# get file name and date.
org_file = file
file_name_parts = file.split('/')
file_name = file_name_parts[len(file_name_parts) - 1]
# split file.
name = file_name.split('.')[0]
split_cmd = "editcap -c {0} {1} {2}/{3}_spot.pcap".format(
pkt_num, file, pcap_split_staging, name)
logger.info("Splitting file: {0}".format(split_cmd))
Util.execute_cmd(split_cmd, logger)
logger.info("Removing file: {0}".format(org_file))
rm_big_file = "rm {0}".format(org_file)
Util.execute_cmd(rm_big_file, logger)
for currdir, subdir, files in os.walk(pcap_split_staging):
for file in files:
if file.endswith(".pcap") and "{0}_spot".format(name) in file:
# get timestamp from the file name to build hdfs path.
file_date = file.split('.')[0]
pcap_hour = file_date[-6:-4]
pcap_date_path = file_date[-14:-6]
# hdfs path with timestamp.
hdfs_path = "{0}/binary/{1}/{2}".format(
hdfs_root_path, pcap_date_path, pcap_hour)
# create hdfs path.
Util.creat_hdfs_folder(hdfs_path, logger)
# load file to hdfs.
hadoop_pcap_file = "{0}/{1}".format(hdfs_path, file)
Util.load_to_hdfs(os.path.join(currdir, file),
hadoop_pcap_file, logger)
# create event for workers to process the file.
logger.info(
"Sending split file to worker number: {0}".format(
partition))
KafkaTopic.SendMessage(hadoop_pcap_file, kafka_servers,
topic, partition)
logger.info(
"File {0} has been successfully sent to Kafka Topic to: {1}"
.format(file, topic))
except Exception as err:
logger.error(
"There was a problem, please check the following error message:{0}"
.format(err.message))
logger.error("Exception: {0}".format(err))
def ingest_file(file,pkt_num,pcap_split_staging, partition,hdfs_root_path,topic,kafka_servers):
logger = logging.getLogger('SPOT.INGEST.DNS.{0}'.format(os.getpid()))
try:
# get file name and date.
org_file = file
file_name_parts = file.split('/')
file_name = file_name_parts[len(file_name_parts)-1]
# split file.
name = file_name.split('.')[0]
split_cmd = "editcap -c {0} {1} {2}/{3}_spot.pcap".format(pkt_num,file,pcap_split_staging,name)
logger.info("Splitting file: {0}".format(split_cmd))
Util.execute_cmd(split_cmd,logger)
logger.info("Removing file: {0}".format(org_file))
rm_big_file = "rm {0}".format(org_file)
Util.execute_cmd(rm_big_file,logger)
for currdir,subdir,files in os.walk(pcap_split_staging):
for file in files:
if file.endswith(".pcap") and "{0}_spot".format(name) in file:
# get timestamp from the file name to build hdfs path.
file_date = file.split('.')[0]
pcap_hour = file_date[-6:-4]
pcap_date_path = file_date[-14:-6]
# hdfs path with timestamp.
hdfs_path = "{0}/binary/{1}/{2}".format(hdfs_root_path,pcap_date_path,pcap_hour)
# create hdfs path.
Util.creat_hdfs_folder(hdfs_path,logger)
# load file to hdfs.
hadoop_pcap_file = "{0}/{1}".format(hdfs_path,file)
Util.load_to_hdfs(os.path.join(currdir,file),hadoop_pcap_file,logger)
# create event for workers to process the file.
logger.info( "Sending split file to worker number: {0}".format(partition))
KafkaTopic.SendMessage(hadoop_pcap_file,kafka_servers,topic,partition)
logger.info("File {0} has been successfully sent to Kafka Topic to: {1}".format(file,topic))
except Exception as err:
logger.error("There was a problem, please check the following error message:{0}".format(err.message))
logger.error("Exception: {0}".format(err))
