def listen(self):
while 1:
data, addr = self.client.recvfrom(1024)
value = json.loads(data)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(
path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
#print "column added to batch for %s -- %s ms" % (path, timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (
path, timestamp)
def handle_value(self, string_value):
value = json.loads(string_value)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
print "column added to batch for %s -- %s ms" % (path, timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (path, timestamp)
def handle_value(self, string_value):
value = json.loads(string_value)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(
path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
print "column added to batch for %s -- %s ms" % (path,
timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (
path, timestamp)
def listen(self):
while 1:
data, addr = self.client.recvfrom(1024)
value = json.loads(data)
path = value[0]
if path in self.paths:
row_key, column = convert_muse_data_to_cassandra_column(path, value)
if len(self.batches[path]) < BATCH_MAX_SIZE:
self.batches[path][row_key] = column
# time stats
timestamp = row_key.split('_')[1]
#print "column added to batch for %s -- %s ms" % (path, timestamp)
elif len(self.batches[path]) == BATCH_MAX_SIZE:
self.muse_cassandra_repo.add_batch(self.batches[path])
self.batches[path] = {}
# time stats
timestamp = row_key.split('_')[1]
print "column batch stored in cassandra for %s -- %s ms" % (path, timestamp)
