benchmarkio

Library that contains common code for benchmarking different messaging brokers. It was designed with idea in mind that it could be extended easily to add more broker implementations. It uses A High Dynamic Range (HDR) Histogram for recording and analyzing data: https://github.com/HdrHistogram

Below are the steps needed to start it up locally:

mvn clean install -U

Example for KAFKA:

java -cp target/benchmarkio-1.0.0-SNAPSHOT.jar benchmarkio.controlcenter.LaunchRocket
--host localhost --port 9092 --broker-type KAFKA --num-consumers 1 --num-producers 1
--total-number-of-messages 500000 --msg-size-in-kb 1 --zookeeper localhost:2181

Example for RabbitMQ:

java -cp target/benchmarkio-1.0.0-SNAPSHOT.jar benchmarkio.controlcenter.LaunchRocket
--host localhost --port 5672 --broker-type RABBITMQ --num-consumers 1 --num-producers 1
--total-number-of-messages 500000 --msg-size-in-kb 1

Example for ActiveMQ:

java -cp target/benchmarkio-1.0.0-SNAPSHOT.jar benchmarkio.controlcenter.LaunchRocket
--host localhost --port 61616 --broker-type ACTIVEMQ --num-consumers 1 --num-producers 1
--total-number-of-messages 500000 --msg-size-in-kb 1

USAGE

usage: benchmarkio.controlcenter.LaunchRocket
    --benchmark-type              benchmark type, one of
                                       PRODUCER_ONLY | CONSUMER_ONLY |
                                       PRODUCER_AND_CONSUMER |
                                       PRODUCER_NO_CONSUMER_THEN_CONSUMER.
                                       Will default to
                                       PRODUCER_AND_CONSUMER, if not
                                       specified.
    --broker-type                      broker type => KAFKA | RABBITMQ |
                                       ACTIVEMQ
    --durable                     boolean value, indicates whether we
                                       should test with durability
    --host                        host of the broker
    --kafka-producer-type         This parameter specifies whether
                                       the messages are sent
                                       asynchronously in a background
                                       thread. Valid values are (1) async
                                       for asynchronous send and (2) sync
                                       for synchronous send. By setting
                                       the producer to async we allow
                                       batching together of requests
                                       (which is great for throughput) but
                                       open the possibility of a failure
                                       of the client machine dropping
                                       unsent data. Will default to sync,
                                       if not specified.
    --msg-size-in-kb              message size in KB
    --num-consumers               consumer count
    --num-producers               producer count
    --port                        port of the broker
    --total-number-of-messages    total number of messages
 -u,--usage                            show usage
    --zookeeper                   zookeeperHost:zookeeperPort

SAMPLE OUTPUT AFTER RUNNING

[b.c.LaunchRocket] - Durable parameter was not specified, defaulting to: FALSE
[b.c.LaunchRocket] - destination (topic or queue): test
[b.c.LaunchRocket] - host: localhost
[b.c.LaunchRocket] - port: 5672
[b.c.LaunchRocket] - broker-type: RABBITMQ
[b.c.LaunchRocket] - benchmark-type: PRODUCER_AND_CONSUMER
[b.c.LaunchRocket] - durable: false
[b.c.LaunchRocket] - num-consumers: 3
[b.c.LaunchRocket] - num-producers: 3
[b.c.LaunchRocket] - total-number-of-messages: 100000
[b.c.LaunchRocket] - msg-size-in-kb: 1.0

[b.b.r.LoggingReport] - =======================================
[b.b.r.LoggingReport] - PRODUCER STATS
[b.b.r.LoggingReport] - =======================================
[b.b.r.LoggingReport] - All units are MILLISECONDS unless stated otherwise
[b.b.r.LoggingReport] - DURATION (SECOND):      8
[b.b.r.LoggingReport] - THROUGHPUT / SECOND:    11294
[b.b.r.LoggingReport] - MIN:                    0
[b.b.r.LoggingReport] - 25th percentile:        99.9129991299913
[b.b.r.LoggingReport] - 50th percentile:        99.9129991299913
[b.b.r.LoggingReport] - 75th percentile:        99.9129991299913
[b.b.r.LoggingReport] - 99th percentile:        99.9159991599916
[b.b.r.LoggingReport] - MAX:                    492
[b.b.r.LoggingReport] - MEAN:                   0.24287242872428724
[b.b.r.LoggingReport] - STD DEVIATION:          8.475568531128456

[b.b.r.LoggingReport] - =======================================
[b.b.r.LoggingReport] - CONSUMER STATS
[b.b.r.LoggingReport] - =======================================
[b.b.r.LoggingReport] - All units are MILLISECONDS unless stated otherwise
[b.b.r.LoggingReport] - DURATION (SECOND):      14
[b.b.r.LoggingReport] - THROUGHPUT / SECOND:    7104
[b.b.r.LoggingReport] - MIN:                    0
[b.b.r.LoggingReport] - 25th percentile:        99.9979999799998
[b.b.r.LoggingReport] - 50th percentile:        99.9989999899999
[b.b.r.LoggingReport] - 75th percentile:        99.9989999899999
[b.b.r.LoggingReport] - 99th percentile:        100.0
[b.b.r.LoggingReport] - MAX:                    86
[b.b.r.LoggingReport] - MEAN:                   0.003713370467038004
[b.b.r.LoggingReport] - STD DEVIATION:          0.3240070896707981

WANT TO CONTRIBUTE?

Here is the structure of the classes:

For new Benchmark type
- Implement benchmarkio.benchmark.Benchmark
- Add to benchmarkio.controlcenter.BenchmarkType
For new Consumer type
- Implement benchmarkio.consumer.MessageConsumerCoordinator
- Implement benchmarkio.consumer.MessageConsumer
For new Producer type
- Implement benchmarkio.producer.MessageProducerCoordinator
- Implement benchmarkio.producer.MessageProducer
To connect new Broker type (you can do it after you have created the Consumer and Producer code)
- Add to benchmarkio.controlcenter.BrokerType
For new Report type
- Implement benchmarkio.benchmark.report.Report
- Modify benchmarkio.controlcenter.LaunchRocket.start(...) to use new report

eHarmony / benchmarkio

benchmarkio

WANT TO CONTRIBUTE?

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