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创建一个 1副本1分区的topic
kafka-topics.sh --create --topic test --bootstrap-server localhost:9092 --partitions 1 --replication-factor 1
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对这个topic生产吞吐量测试
# 生产者吞吐量测试工具 kafka-producer-perf-test.sh # 生产者测试 --topic test # topic --num-records 300000 # 总共300000条数据 --record-size 1000 # 每条1000字节，约1kb --throughput 100000 # 每次发送100000条记录 --producer-props bootstrap.servers=localhost:9092 # 指定服务 [root@dream1 ~]# kafka-producer-perf-test.sh --num-records 300000 --record-size 1000 --topic test --throughput 100000 --producer-props bootstrap.servers=localhost:9092 160273 records sent, 32016.2 records/sec (30.53 MB/sec), 660.6 ms avg latency, 1107.0 ms max latency. 126080 records sent, 25100.5 records/sec (23.94 MB/sec), 1261.6 ms avg latency, 1945.0 ms max latency. 300000 records sent, 28097.780275 records/sec (26.80 MB/sec), 940.64 ms avg latency, 1945.00 ms max latency, 911 ms 50th, 1606 ms 95th, 1883 ms 99th, 1938 ms 99.9th. # 测试结果：30.53 23.94 26.80 [root@dream1 ~]# kafka-producer-perf-test.sh --num-records 300000 --record-size 1000 --topic test --throughput 50000 --producer-props bootstrap.servers=localhost:9092 151761 records sent, 30352.2 records/sec (28.95 MB/sec), 632.4 ms avg latency, 1495.0 ms max latency. 133584 records sent, 26716.8 records/sec (25.48 MB/sec), 1322.6 ms avg latency, 1696.0 ms max latency. 300000 records sent, 29571.217348 records/sec (28.20 MB/sec), 934.69 ms avg latency, 1696.00 ms max latency, 957 ms 50th, 1589 ms 95th, 1650 ms 99th, 1692 ms 99.9th. # 测试结果：28.95 25.48 28.20 [root@dream1 ~]# kafka-producer-perf-test.sh --num-records 300000 --record-size 1000 --topic test --throughput 70000 --producer-props bootstrap.servers=localhost:9092 167185 records sent, 33437.0 records/sec (31.89 MB/sec), 585.8 ms avg latency, 1241.0 ms max latency. 300000 records sent, 35756.853397 records/sec (34.10 MB/sec), 712.25 ms avg latency, 1318.00 ms max latency, 785 ms 50th, 1202 ms 95th, 1310 ms 99th, 1317 ms 99.9th. # 测试结果：31.89 34.10 前后对比可以得知，每次发送70000条记录时效率最高，此时吞吐量 70000*1KB/s 70MB/s [root@dream1 ~]# kafka-producer-perf-test.sh --num-records 300000 --record-size 1000 --topic test --throughput 80000 --producer-props bootstrap.servers=localhost:9092 154609 records sent, 30500.9 records/sec (29.09 MB/sec), 615.7 ms avg latency, 1852.0 ms max latency. 300000 records sent, 35545.023697 records/sec (33.90 MB/sec), 773.73 ms avg latency, 1878.00 ms max latency, 632 ms 50th, 1521 ms 95th, 1869 ms 99th, 1874 ms 99.9th. # 测试结果：29.09 33.90
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对这个topic消费吞吐量测试
# 消费者吞吐量测试工具 kafka-consumer-perf-test.sh # 消费者测试 --topic test # topic --broker-list localhost:9092 # broker --messages 300000 # 总共消费多少数据300000 --threads 6 # 6个线程消费 [root@dream1 ~]# kafka-consumer-perf-test.sh --topic test --broker-list localhost:9092 --messages 300000 --threads 1 WARNING: option [threads] and [num-fetch-threads] have been deprecated and will be ignored by the test start.time, end.time, data.consumed.in.MB, MB.sec, data.consumed.in.nMsg, nMsg.sec, rebalance.time.ms, fetch.time.ms, fetch.MB.sec, fetch.nMsg.sec 2024-01-11 09:56:52:402, 2024-01-11 09:56:55:365, 286.1099, 96.5609, 300008, 101251.4344, 817, 2146, 133.3224, 139798.6952 [root@dream1 ~]# kafka-consumer-perf-test.sh --topic test --broker-list localhost:9092 --messages 300000 --threads 3 WARNING: option [threads] and [num-fetch-threads] have been deprecated and will be ignored by the test start.time, end.time, data.consumed.in.MB, MB.sec, data.consumed.in.nMsg, nMsg.sec, rebalance.time.ms, fetch.time.ms, fetch.MB.sec, fetch.nMsg.sec 2024-01-11 09:57:00:232, 2024-01-11 09:57:03:485, 286.1099, 100.9526, 300008, 92225.0231, 626, 2627, 108.9113, 114201.7510 [root@dream1 ~]# kafka-consumer-perf-test.sh --topic test --broker-list localhost:9092 --messages 300000 --threads 10 WARNING: option [threads] and [num-fetch-threads] have been deprecated and will be ignored by the test start.time, end.time, data.consumed.in.MB, MB.sec, data.consumed.in.nMsg, nMsg.sec, rebalance.time.ms, fetch.time.ms, fetch.MB.sec, fetch.nMsg.sec 2024-01-11 09:57:39:562, 2024-01-11 09:57:42:293, 286.1099, 104.7638, 300008, 109852.8012, 619, 2112, 135.4687, 142049.2424 [root@dream1 ~]# kafka-consumer-perf-test.sh --topic test --broker-list localhost:9092 --messages 300000 --threads 15 WARNING: option [threads] and [num-fetch-threads] have been deprecated and will be ignored by the test start.time, end.time, data.consumed.in.MB, MB.sec, data.consumed.in.nMsg, nMsg.sec, rebalance.time.ms, fetch.time.ms, fetch.MB.sec, fetch.nMsg.sec 2024-01-11 09:57:52:771, 2024-01-11 09:57:55:798, 286.1099, 94.5193, 300008, 99110.6706, 579, 2448, 116.8750, 122552.287 # 消费者测试的时候只需调整 thread 对MB.sec取平均即可，我的测试结果大约100M
计算分区数
然后假设总的目标吞吐量是Tt，那么分区数=Tt / min（Tp，Tc）
例如：producer吞吐量 = 70m/s；consumer吞吐量 =100m/s，期望吞吐量 300m/s；文章来源：https://www.toymoban.com/news/detail-788207.html
分区数 = 300 / 70 = 4或者5个分区文章来源地址https://www.toymoban.com/news/detail-788207.html
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