同样jvm的配置，下面是amoeba跑的数据，还是用前面sysbench的脚本跑的
JAVA_OPTS="-server -Xms2G -Xmx2G -XX:MaxPermSize=64M -XX:+AggressiveOpts -XX:MaxDirectMemorySize=2G"
查询脚本
./sysbench --mysql-host=127.0.0.1 --mysql-port=1234 --mysql-user=root --mysql-password=123456 --test=/home/cailin/sysbench-0.5/sysbench/tests/db/oltp.lua --oltp_tables_count=10 --oltp-table-size=10000000 --num-threads=8 --oltp-read-only=on --report-interval=10 --rand-type=uniform --max-time=3600 --max-requests=0 --percentile=99 run >> /home/cailin/sysbench-0.5/sysbenchbin/bin/log/sysbench_oltpX_mysql_20151020.log
参考前面的两个文章链接
http://cailin.iteye.com/blog/2250277
http://cailin.iteye.com/blog/2250203
amoeba的最大288左右
[ 10s] threads: 8, tps: 117.70, reads: 1651.79, writes: 0.00, response time: 185.06ms (99%), errors: 0.00, reconnects: 0.00 [ 20s] threads: 8, tps: 203.90, reads: 2855.99, writes: 0.00, response time: 84.70ms (99%), errors: 0.00, reconnects: 0.00 [ 30s] threads: 8, tps: 201.00, reads: 2810.05, writes: 0.00, response time: 125.55ms (99%), errors: 0.00, reconnects: 0.00 [ 40s] threads: 8, tps: 275.00, reads: 3854.10, writes: 0.00, response time: 57.07ms (99%), errors: 0.00, reconnects: 0.00 [ 50s] threads: 8, tps: 280.60, reads: 3928.23, writes: 0.00, response time: 53.82ms (99%), errors: 0.00, reconnects: 0.00 [ 60s] threads: 8, tps: 219.70, reads: 3077.09, writes: 0.00, response time: 77.68ms (99%), errors: 0.00, reconnects: 0.00 [ 70s] threads: 8, tps: 276.49, reads: 3869.91, writes: 0.00, response time: 55.04ms (99%), errors: 0.00, reconnects: 0.00 [ 80s] threads: 8, tps: 274.99, reads: 3848.90, writes: 0.00, response time: 66.38ms (99%), errors: 0.00, reconnects: 0.00 [ 90s] threads: 8, tps: 223.93, reads: 3135.48, writes: 0.00, response time: 226.02ms (99%), errors: 0.00, reconnects: 0.00 [ 100s] threads: 8, tps: 286.00, reads: 4003.86, writes: 0.00, response time: 50.12ms (99%), errors: 0.00, reconnects: 0.00 [ 110s] threads: 8, tps: 276.40, reads: 3870.35, writes: 0.00, response time: 55.85ms (99%), errors: 0.00, reconnects: 0.00 [ 120s] threads: 8, tps: 233.90, reads: 3274.09, writes: 0.00, response time: 82.17ms (99%), errors: 0.00, reconnects: 0.00 [ 130s] threads: 8, tps: 275.70, reads: 3859.10, writes: 0.00, response time: 62.58ms (99%), errors: 0.00, reconnects: 0.00 [ 140s] threads: 8, tps: 270.30, reads: 3786.58, writes: 0.00, response time: 62.51ms (99%), errors: 0.00, reconnects: 0.00 [ 150s] threads: 8, tps: 216.30, reads: 3026.08, writes: 0.00, response time: 366.19ms (99%), errors: 0.00, reconnects: 0.00 [ 160s] threads: 8, tps: 270.90, reads: 3792.93, writes: 0.00, response time: 55.40ms (99%), errors: 0.00, reconnects: 0.00 [ 170s] threads: 8, tps: 265.50, reads: 3716.41, writes: 0.00, response time: 61.69ms (99%), errors: 0.00, reconnects: 0.00 [ 180s] threads: 8, tps: 220.49, reads: 3087.72, writes: 0.00, response time: 251.51ms (99%), errors: 0.00, reconnects: 0.00 [ 190s] threads: 8, tps: 274.31, reads: 3838.39, writes: 0.00, response time: 49.67ms (99%), errors: 0.00, reconnects: 0.00 [ 200s] threads: 8, tps: 233.90, reads: 3277.58, writes: 0.00, response time: 94.82ms (99%), errors: 0.00, reconnects: 0.00 [ 210s] threads: 8, tps: 215.10, reads: 3012.12, writes: 0.00, response time: 163.54ms (99%), errors: 0.00, reconnects: 0.00 [ 220s] threads: 8, tps: 284.70, reads: 3983.51, writes: 0.00, response time: 46.91ms (99%), errors: 0.00, reconnects: 0.00 [ 230s] threads: 8, tps: 268.90, reads: 3765.80, writes: 0.00, response time: 64.58ms (99%), errors: 0.00, reconnects: 0.00 [ 240s] threads: 8, tps: 196.40, reads: 2748.50, writes: 0.00, response time: 97.73ms (99%), errors: 0.00, reconnects: 0.00 [ 250s] threads: 8, tps: 288.20, reads: 4034.90, writes: 0.00, response time: 46.53ms (99%), errors: 0.00, reconnects: 0.00
相同的参数、相同的机器，相同的数据mycat1.4的数据（10w），最大540左右
[ 10s] threads: 8, tps: 373.08, reads: 5229.56, writes: 0.00, response time: 76.09ms (99%), errors: 0.00, reconnects: 0.00 [ 20s] threads: 8, tps: 521.21, reads: 7295.49, writes: 0.00, response time: 33.23ms (99%), errors: 0.00, reconnects: 0.00 [ 30s] threads: 8, tps: 522.20, reads: 7311.06, writes: 0.00, response time: 22.13ms (99%), errors: 0.00, reconnects: 0.00 [ 40s] threads: 8, tps: 533.90, reads: 7474.16, writes: 0.00, response time: 21.75ms (99%), errors: 0.00, reconnects: 0.00 [ 50s] threads: 8, tps: 537.10, reads: 7520.18, writes: 0.00, response time: 20.72ms (99%), errors: 0.00, reconnects: 0.00 [ 60s] threads: 8, tps: 536.70, reads: 7512.71, writes: 0.00, response time: 22.24ms (99%), errors: 0.00, reconnects: 0.00 [ 70s] threads: 8, tps: 536.60, reads: 7512.65, writes: 0.00, response time: 24.08ms (99%), errors: 0.00, reconnects: 0.00 [ 80s] threads: 8, tps: 552.80, reads: 7738.95, writes: 0.00, response time: 18.92ms (99%), errors: 0.00, reconnects: 0.00 [ 90s] threads: 8, tps: 495.30, reads: 6933.28, writes: 0.00, response time: 35.77ms (99%), errors: 0.00, reconnects: 0.00 [ 100s] threads: 8, tps: 540.20, reads: 7564.04, writes: 0.00, response time: 20.20ms (99%), errors: 0.00, reconnects: 0.00 [ 110s] threads: 8, tps: 534.80, reads: 7486.15, writes: 0.00, response time: 21.14ms (99%), errors: 0.00, reconnects: 0.00 [ 120s] threads: 8, tps: 537.20, reads: 7523.19, writes: 0.00, response time: 20.94ms (99%), errors: 0.00, reconnects: 0.00 [ 130s] threads: 8, tps: 523.30, reads: 7326.45, writes: 0.00, response time: 32.93ms (99%), errors: 0.00, reconnects: 0.00 [ 140s] threads: 8, tps: 537.50, reads: 7521.30, writes: 0.00, response time: 20.05ms (99%), errors: 0.00, reconnects: 0.00 [ 150s] threads: 8, tps: 522.70, reads: 7321.09, writes: 0.00, response time: 20.67ms (99%), errors: 0.00, reconnects: 0.00 [ 160s] threads: 8, tps: 538.50, reads: 7539.27, writes: 0.00, response time: 20.66ms (99%), errors: 0.00, reconnects: 0.00 [ 170s] threads: 8, tps: 533.70, reads: 7470.62, writes: 0.00, response time: 20.48ms (99%), errors: 0.00, reconnects: 0.00 [ 180s] threads: 8, tps: 562.70, reads: 7878.92, writes: 0.00, response time: 18.70ms (99%), errors: 0.00, reconnects: 0.00 [ 190s] threads: 8, tps: 535.90, reads: 7501.03, writes: 0.00, response time: 21.79ms (99%), errors: 0.00, reconnects: 0.00 [ 200s] threads: 8, tps: 548.60, reads: 7679.83, writes: 0.00, response time: 19.44ms (99%), errors: 0.00, reconnects: 0.00 [ 210s] threads: 8, tps: 509.00, reads: 7126.94, writes: 0.00, response time: 20.62ms (99%), errors: 0.00, reconnects: 0.00 [ 220s] threads: 8, tps: 533.99, reads: 7477.01, writes: 0.00, response time: 19.74ms (99%), errors: 0.00, reconnects: 0.00
相同的参数、相同的机器，相同的数据，直连mysql的数据对比，最大750
[1640s] threads: 8, tps: 718.60, reads: 10060.20, writes: 0.00, response time: 19.05ms (99%), errors: 0.00, reconnects: 0.00 [1650s] threads: 8, tps: 721.20, reads: 10096.98, writes: 0.00, response time: 19.03ms (99%), errors: 0.00, reconnects: 0.00 [1660s] threads: 8, tps: 728.70, reads: 10201.62, writes: 0.00, response time: 18.51ms (99%), errors: 0.00, reconnects: 0.00 [1670s] threads: 8, tps: 734.20, reads: 10277.80, writes: 0.00, response time: 18.80ms (99%), errors: 0.00, reconnects: 0.00 [1680s] threads: 8, tps: 735.00, reads: 10288.80, writes: 0.00, response time: 19.09ms (99%), errors: 0.00, reconnects: 0.00 [1690s] threads: 8, tps: 750.40, reads: 10504.70, writes: 0.00, response time: 19.03ms (99%), errors: 0.00, reconnects: 0.00 [1700s] threads: 8, tps: 751.50, reads: 10521.80, writes: 0.00, response time: 18.47ms (99%), errors: 0.00, reconnects: 0.00 [1710s] threads: 8, tps: 747.20, reads: 10462.60, writes: 0.00, response time: 18.65ms (99%), errors: 0.00, reconnects: 0.00 [1720s] threads: 8, tps: 702.90, reads: 9840.97, writes: 0.00, response time: 25.00ms (99%), errors: 0.00, reconnects: 0.00 [1730s] threads: 8, tps: 683.90, reads: 9573.53, writes: 0.00, response time: 25.07ms (99%), errors: 0.00, reconnects: 0.00 [1740s] threads: 8, tps: 742.20, reads: 10391.49, writes: 0.00, response time: 18.68ms (99%), errors: 0.00, reconnects: 0.00 [1750s] threads: 8, tps: 687.10, reads: 9619.91, writes: 0.00, response time: 26.62ms (99%), errors: 0.00, reconnects: 0.00 [1760s] threads: 8, tps: 655.50, reads: 9174.40, writes: 0.00, response time: 26.43ms (99%), errors: 0.00, reconnects: 0.00 [1770s] threads: 8, tps: 715.20, reads: 10015.86, writes: 0.00, response time: 23.60ms (99%), errors: 0.00, reconnects: 0.00 [1780s] threads: 8, tps: 700.00, reads: 9798.94, writes: 0.00, response time: 24.37ms (99%), errors: 0.00, reconnects: 0.00 [1790s] threads: 8, tps: 680.90, reads: 9531.30, writes: 0.00, response time: 24.48ms (99%), errors: 0.00, reconnects: 0.00 [1800s] threads: 8, tps: 736.50, reads: 10313.80, writes: 0.00, response time: 18.94ms (99%), errors: 0.00, reconnects: 0.00 [1810s] threads: 8, tps: 698.60, reads: 9778.80, writes: 0.00, response time: 23.98ms (99%), errors: 0.00, reconnects: 0.00
100万的数据量的mycat1.4的sysbench数据，最高551，上面所有的数据都是10万的数据测试
[1160s] threads: 8, tps: 535.41, reads: 7497.07, writes: 0.00, response time: 19.06ms (99%), errors: 0.00, reconnects: 0.00 [1170s] threads: 8, tps: 555.00, reads: 7767.88, writes: 0.00, response time: 18.10ms (99%), errors: 0.00, reconnects: 0.00 [1180s] threads: 8, tps: 553.90, reads: 7757.52, writes: 0.00, response time: 17.88ms (99%), errors: 0.00, reconnects: 0.00 [1190s] threads: 8, tps: 506.80, reads: 7092.69, writes: 0.00, response time: 34.15ms (99%), errors: 0.00, reconnects: 0.00 [1200s] threads: 8, tps: 497.10, reads: 6961.58, writes: 0.00, response time: 31.54ms (99%), errors: 0.00, reconnects: 0.00 [1210s] threads: 8, tps: 534.10, reads: 7474.64, writes: 0.00, response time: 18.86ms (99%), errors: 0.00, reconnects: 0.00 [1220s] threads: 8, tps: 548.10, reads: 7673.68, writes: 0.00, response time: 18.76ms (99%), errors: 0.00, reconnects: 0.00 [1230s] threads: 8, tps: 553.60, reads: 7752.46, writes: 0.00, response time: 17.78ms (99%), errors: 0.00, reconnects: 0.00 [1240s] threads: 8, tps: 550.80, reads: 7713.96, writes: 0.00, response time: 17.96ms (99%), errors: 0.00, reconnects: 0.00 [1250s] threads: 8, tps: 554.50, reads: 7759.25, writes: 0.00, response time: 17.99ms (99%), errors: 0.00, reconnects: 0.00 [1260s] threads: 8, tps: 546.00, reads: 7645.02, writes: 0.00, response time: 23.61ms (99%), errors: 0.00, reconnects: 0.00 [1270s] threads: 8, tps: 544.60, reads: 7624.20, writes: 0.00, response time: 18.42ms (99%), errors: 0.00, reconnects: 0.00 [1280s] threads: 8, tps: 508.10, reads: 7113.98, writes: 0.00, response time: 31.57ms (99%), errors: 0.00, reconnects: 0.00 [1290s] threads: 8, tps: 511.70, reads: 7161.75, writes: 0.00, response time: 19.46ms (99%), errors: 0.00, reconnects: 0.00 [1300s] threads: 8, tps: 545.20, reads: 7633.00, writes: 0.00, response time: 18.74ms (99%), errors: 0.00, reconnects: 0.00 [1310s] threads: 8, tps: 548.00, reads: 7672.99, writes: 0.00, response time: 18.47ms (99%), errors: 0.00, reconnects: 0.00 [1320s] threads: 8, tps: 550.60, reads: 7709.99, writes: 0.00, response time: 23.34ms (99%), errors: 0.00, reconnects: 0.00 [1330s] threads: 8, tps: 551.80, reads: 7722.25, writes: 0.00, response time: 18.07ms (99%), errors: 0.00, reconnects: 0.00 [1340s] threads: 8, tps: 535.00, reads: 7490.80, writes: 0.00, response time: 19.21ms (99%), errors: 0.00, reconnects: 0.00 [1350s] threads: 8, tps: 535.10, reads: 7490.70, writes: 0.00, response time: 32.39ms (99%), errors: 0.00, reconnects: 0.00 [1360s] threads: 8, tps: 534.00, reads: 7476.06, writes: 0.00, response time: 19.87ms (99%), errors: 0.00, reconnects: 0.00 [1370s] threads: 8, tps: 555.90, reads: 7784.21, writes: 0.00, response time: 17.85ms (99%), errors: 0.00, reconnects: 0.00 [1380s] threads: 8, tps: 547.30, reads: 7659.41, writes: 0.00, response time: 23.51ms (99%), errors: 0.00, reconnects: 0.00 [1390s] threads: 8, tps: 554.40, reads: 7762.10, writes: 0.00, response time: 18.13ms (99%), errors: 0.00, reconnects: 0.00
114万的atlas的性能测试，最高501
[ 10s] threads: 8, tps: 470.06, reads: 6588.46, writes: 0.00, response time: 39.68ms (99%), errors: 0.00, reconnects: 0.00 [ 20s] threads: 8, tps: 460.10, reads: 6439.51, writes: 0.00, response time: 42.58ms (99%), errors: 0.00, reconnects: 0.00 [ 30s] threads: 8, tps: 489.20, reads: 6848.70, writes: 0.00, response time: 30.88ms (99%), errors: 0.00, reconnects: 0.00 [ 40s] threads: 8, tps: 476.30, reads: 6668.37, writes: 0.00, response time: 34.68ms (99%), errors: 0.00, reconnects: 0.00 [ 50s] threads: 8, tps: 489.20, reads: 6846.91, writes: 0.00, response time: 31.19ms (99%), errors: 0.00, reconnects: 0.00 [ 60s] threads: 8, tps: 485.80, reads: 6801.10, writes: 0.00, response time: 30.49ms (99%), errors: 0.00, reconnects: 0.00 [ 70s] threads: 8, tps: 485.10, reads: 6791.72, writes: 0.00, response time: 30.96ms (99%), errors: 0.00, reconnects: 0.00 [ 80s] threads: 8, tps: 469.40, reads: 6576.00, writes: 0.00, response time: 35.75ms (99%), errors: 0.00, reconnects: 0.00 [ 90s] threads: 8, tps: 454.70, reads: 6362.60, writes: 0.00, response time: 41.05ms (99%), errors: 0.00, reconnects: 0.00 [ 100s] threads: 8, tps: 478.10, reads: 6693.90, writes: 0.00, response time: 31.26ms (99%), errors: 0.00, reconnects: 0.00 [ 110s] threads: 8, tps: 504.60, reads: 7065.07, writes: 0.00, response time: 30.66ms (99%), errors: 0.00, reconnects: 0.00 [ 120s] threads: 8, tps: 505.10, reads: 7069.91, writes: 0.00, response time: 30.41ms (99%), errors: 0.00, reconnects: 0.00 [ 130s] threads: 8, tps: 471.30, reads: 6596.42, writes: 0.00, response time: 33.14ms (99%), errors: 0.00, reconnects: 0.00 [ 140s] threads: 8, tps: 446.60, reads: 6255.00, writes: 0.00, response time: 39.43ms (99%), errors: 0.00, reconnects: 0.00 [ 150s] threads: 8, tps: 472.70, reads: 6616.78, writes: 0.00, response time: 35.21ms (99%), errors: 0.00, reconnects: 0.00 [ 160s] threads: 8, tps: 456.90, reads: 6399.22, writes: 0.00, response time: 37.15ms (99%), errors: 0.00, reconnects: 0.00 [ 170s] threads: 8, tps: 480.70, reads: 6725.20, writes: 0.00, response time: 34.95ms (99%), errors: 0.00, reconnects: 0.00 [ 180s] threads: 8, tps: 487.40, reads: 6826.80, writes: 0.00, response time: 30.47ms (99%), errors: 0.00, reconnects: 0.00 [ 190s] threads: 8, tps: 471.30, reads: 6598.80, writes: 0.00, response time: 36.51ms (99%), errors: 0.00, reconnects: 0.00 [ 200s] threads: 8, tps: 488.50, reads: 6835.29, writes: 0.00, response time: 31.37ms (99%), errors: 0.00, reconnects: 0.00 [ 210s] threads: 8, tps: 475.60, reads: 6659.31, writes: 0.00, response time: 32.72ms (99%), errors: 0.00, reconnects: 0.00 [ 220s] threads: 8, tps: 493.80, reads: 6914.09, writes: 0.00, response time: 30.55ms (99%), errors: 0.00, reconnects: 0.00 [ 230s] threads: 8, tps: 489.20, reads: 6849.80, writes: 0.00, response time: 32.04ms (99%), errors: 0.00, reconnects: 0.00 [ 240s] threads: 8, tps: 493.10, reads: 6903.38, writes: 0.00, response time: 29.96ms (99%), errors: 0.00, reconnects: 0.00 [ 250s] threads: 8, tps: 491.90, reads: 6885.63, writes: 0.00, response time: 29.95ms (99%), errors: 0.00, reconnects: 0.00 [ 260s] threads: 8, tps: 489.30, reads: 6853.00, writes: 0.00, response time: 32.30ms (99%), errors: 0.00, reconnects: 0.00 [ 270s] threads: 8, tps: 492.30, reads: 6889.80, writes: 0.00, response time: 30.78ms (99%), errors: 0.00, reconnects: 0.00 [ 280s] threads: 8, tps: 473.80, reads: 6635.19, writes: 0.00, response time: 35.72ms (99%), errors: 0.00, reconnects: 0.00 [ 290s] threads: 8, tps: 430.80, reads: 6029.58, writes: 0.00, response time: 45.84ms (99%), errors: 0.00, reconnects: 0.00 [ 300s] threads: 8, tps: 361.40, reads: 5059.52, writes: 0.00, response time: 158.33ms (99%), errors: 0.00, reconnects: 0.00 [ 310s] threads: 8, tps: 434.90, reads: 6091.18, writes: 0.00, response time: 85.15ms (99%), errors: 0.00, reconnects: 0.00 [ 320s] threads: 8, tps: 446.30, reads: 6244.62, writes: 0.00, response time: 65.53ms (99%), errors: 0.00, reconnects: 0.00 [ 330s] threads: 8, tps: 491.30, reads: 6880.20, writes: 0.00, response time: 30.43ms (99%), errors: 0.00, reconnects: 0.00 [ 340s] threads: 8, tps: 474.60, reads: 6645.68, writes: 0.00, response time: 34.27ms (99%), errors: 0.00, reconnects: 0.00 [ 350s] threads: 8, tps: 501.50, reads: 7020.31, writes: 0.00, response time: 30.39ms (99%), errors: 0.00, reconnects: 0.00 [ 360s] threads: 8, tps: 498.60, reads: 6980.51, writes: 0.00, response time: 30.37ms (99%), errors: 0.00, reconnects: 0.00
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接着，配置 Mycat，将 MySQL 作为后端数据源，根据 `mycat2-install-template-1.21.zip` 中的模板修改 Mycat 的配置文件。最后，启动 Mycat 服务，就可以利用其强大的分布式数据库功能了。 总结来说，这个压缩包...
【标题】：mycat原理与使用详解，配合MySQL主从备份及读写分离实践 【内容】： Mycat是一款开源的分布式数据库中间件，它主要用于解决大数据量下的高性能访问问题，通过数据分片、读写分离等技术，提高系统的并发...
【MySQL与MyCat分表测试对比】 在本次测试中，主要目的是对比单机MySQL与通过MyCat进行分表后的性能表现，以及评估MyCat作为数据库中间件在处理高并发OLTP（在线事务处理）场景中的适用性。测试采用的是简单的分表...
【MySQL中间件详解：Atlas、cobar、TDDL与Mycat】 MySQL中间件是用于在应用程序和数据库之间提供服务的软件，它们通常用于解决数据库的扩展性、高可用性和读写分离等问题。本文将详细介绍四款知名的MySQL中间件：...
除了Atlas之外，还有其他的数据库中间件解决方案，如Mysql-proxy、Mysql-router、Cobar、Mycat、TDDL SmartClient、Oceanus、OneProxy、vitess、Heisenberg、TSharding、Xx-dbproxy等。 6. Atlas的部署 - 系统要求...