class NativeVsRestProducerPerformance(RestProxyTest):
def __init__(self, test_context):
super(NativeVsRestProducerPerformance, self).__init__(test_context, num_zk=1, num_brokers=1, num_rest=1, topics={
'test-rep-one' : { 'partitions': 6, 'replication-factor': 1 },
})
if True:
# Works on both aws and local
msgs = 1000000
else:
# Can use locally on Vagrant VMs, but may use too much memory for aws
msgs = 50000000
msg_size = 100
batch_size = 8196
acks = 1
self.producer_perf = ProducerPerformanceService(
test_context, 1, self.kafka,
topic="test-rep-one", num_records=msgs, record_size=msg_size, throughput=-1,
settings={'batch.size':batch_size, 'acks':acks}
)
self.rest_producer_perf = RestProducerPerformanceService(
test_context, 1, self.rest,
topic="test-rep-one", num_records=msgs, record_size=msg_size, batch_size=batch_size, throughput=-1
)
def test(self):
self.producer_perf.run()
self.rest_producer_perf.run()
self.logger.info("Producer performance: %f per sec, %f ms", self.producer_perf.results[0]['records_per_sec'], self.producer_perf.results[0]['latency_99th_ms'])
self.logger.info("REST Producer performance: %f per sec, %f ms", self.rest_producer_perf.results[0]['records_per_sec'], self.rest_producer_perf.results[0]['latency_99th_ms'])
class NativeVsRestProducerPerformance(RestProxyTest):
def __init__(self, test_context):
super(NativeVsRestProducerPerformance,
self).__init__(test_context,
num_zk=1,
num_brokers=1,
num_rest=1,
topics={
'test-rep-one': {
'partitions': 6,
'replication-factor': 1
},
})
if True:
# Works on both aws and local
msgs = 1000000
else:
# Can use locally on Vagrant VMs, but may use too much memory for aws
msgs = 50000000
msg_size = 100
batch_size = 8196
acks = 1
self.producer_perf = ProducerPerformanceService(test_context,
1,
self.kafka,
topic="test-rep-one",
num_records=msgs,
record_size=msg_size,
throughput=-1,
settings={
'batch.size':
batch_size,
'acks': acks
})
self.rest_producer_perf = RestProducerPerformanceService(
test_context,
1,
self.rest,
topic="test-rep-one",
num_records=msgs,
record_size=msg_size,
batch_size=batch_size,
throughput=-1)
def test(self):
self.producer_perf.run()
self.rest_producer_perf.run()
self.logger.info("Producer performance: %f per sec, %f ms",
self.producer_perf.results[0]['records_per_sec'],
self.producer_perf.results[0]['latency_99th_ms'])
self.logger.info("REST Producer performance: %f per sec, %f ms",
self.rest_producer_perf.results[0]['records_per_sec'],
self.rest_producer_perf.results[0]['latency_99th_ms'])
def __init__(self, test_context):
super(NativeVsRestProducerPerformance, self).__init__(test_context, num_zk=1, num_brokers=1, num_rest=1, topics={
'test-rep-one' : { 'partitions': 6, 'replication-factor': 1 },
})
if True:
# Works on both aws and local
msgs = 1000000
else:
# Can use locally on Vagrant VMs, but may use too much memory for aws
msgs = 50000000
msg_size = 100
batch_size = 8196
acks = 1
self.producer_perf = ProducerPerformanceService(
test_context, 1, self.kafka,
topic="test-rep-one", num_records=msgs, record_size=msg_size, throughput=-1,
settings={'batch.size':batch_size, 'acks':acks}
)
self.rest_producer_perf = RestProducerPerformanceService(
test_context, 1, self.rest,
topic="test-rep-one", num_records=msgs, record_size=msg_size, batch_size=batch_size, throughput=-1
)
def __init__(self, test_context):
super(NativeVsRestProducerPerformance,
self).__init__(test_context,
num_zk=1,
num_brokers=1,
num_rest=1,
topics={
'test-rep-one': {
'partitions': 6,
'replication-factor': 1
},
})
if True:
# Works on both aws and local
msgs = 1000000
else:
# Can use locally on Vagrant VMs, but may use too much memory for aws
msgs = 50000000
msg_size = 100
batch_size = 8196
acks = 1
self.producer_perf = ProducerPerformanceService(test_context,
1,
self.kafka,
topic="test-rep-one",
num_records=msgs,
record_size=msg_size,
throughput=-1,
settings={
'batch.size':
batch_size,
'acks': acks
})
self.rest_producer_perf = RestProducerPerformanceService(
test_context,
1,
self.rest,
topic="test-rep-one",
num_records=msgs,
record_size=msg_size,
batch_size=batch_size,
throughput=-1)
