如何把mysqld压测到崩溃重启-创新互联
小编给大家分享一下如何把mysqld压测到崩溃重启，希望大家阅读完这篇文章之后都有所收获，下面让我们一起去探讨吧！
一、压测环境工具准备：
centos7.5
sysbench2.0.9
mysql5.7.22
机器配置：宿主机是vmware esxi
DELL R730
硬盘：普通10K SAS
内存：18G
CPU：8核
非常普通的cpu：
[root@yw-gz-hd-test-211 log]# lscpu Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 1 Core(s) per socket: 1 Socket(s): 8 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 79 Model name: Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz Stepping: 1 CPU MHz: 2399.361 BogoMIPS: 4799.99 Hypervisor vendor: VMware Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 25600K NUMA node0 CPU(s): 0-7 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts mmx fxsr sse sse2 ss syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts nopl xtopology tsc_reliable nonstop_tsc eagerfpu pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 invpcid rtm rdseed adx smap xsaveopt arat
编译安装好mysql，设置 innodb_buffer_pool_size=5G innodb_buffer_pool_instance=5. 其他参数更改redo 为4组，io thread 为8 等等一些参数。
二、开始准备压测数据库：
插入10张表，每个表数据1000万，整个msyql库25G。
[root@yw-gz-hd-test-211 ~]# ls /data/mysql3308/sbtest/ -lh total 25G -rw-r----- 1 mysql mysql 61 Jul 17 19:24 db.opt -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest10.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest10.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest1.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest1.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest2.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest2.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest3.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest3.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest4.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest4.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest5.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest5.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest6.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest6.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest7.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest7.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest8.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest8.ibd -rw-r----- 1 mysql mysql 8.5K Jul 17 19:32 sbtest9.frm -rw-r----- 1 mysql mysql 2.5G Jul 18 14:58 sbtest9.ibd
[root@yw-gz-hd-test-211 ~]# ls /data/mysql3308/ -lh total 1.4G -rw-r----- 1 mysql mysql 56 Jul 17 17:56 auto.cnf -rw-r----- 1 mysql mysql 1.5K Jul 18 14:17 ib_buffer_pool -rw-r----- 1 mysql mysql 384M Jul 18 15:13 ibdata1 -rw-r----- 1 mysql mysql 256M Jul 18 15:13 ib_logfile0 -rw-r----- 1 mysql mysql 256M Jul 18 14:50 ib_logfile1 -rw-r----- 1 mysql mysql 256M Jul 18 15:13 ib_logfile2 -rw-r----- 1 mysql mysql 256M Jul 18 14:49 ib_logfile3 -rw-r----- 1 mysql mysql 12M Jul 18 15:21 ibtmp1 drwxr-x--- 2 mysql mysql 4.0K Jul 17 17:56 mysql srwxrwxrwx 1 mysql mysql 0 Jul 18 14:42 mysql.sock -rw------- 1 mysql mysql 6 Jul 18 14:42 mysql.sock.lock drwxr-x--- 2 mysql mysql 8.0K Jul 17 17:56 performance_schema drwxr-x--- 2 mysql mysql 4.0K Jul 17 19:36 sbtest drwxr-x--- 2 mysql mysql 8.0K Jul 17 17:56 sys -rw-r----- 1 mysql mysql 6 Jul 18 14:42 yw-gz-hd-test-211.pid
三、开始压测：
首先300个线程，开始上。你会发现，立马报错：
FATAL: mysql_stmt_prepare() failed FATAL: MySQL error: 1461 "Can't create more than max_prepared_stmt_count statements (current value: 100000)"
百度一下，设置一下参数可以解决：max_prepared_stmt_count=150000
四、高潮出现：
错误排除，压测到线程300个，总共时长是240秒，等到压测到120秒的时候，mysql进程突然奔溃。错误日志中没有记录mysql奔溃的原因，只记录到mysql崩溃后，被mysqld_safe 进程监控，然后立即拉起mysqld 进程。mysqld_safe 进程会一直监控mysqld进程，发现死掉，立即拉起mysqld进程。我怀疑是内存不够。但是没有证据证明：是内存不够导致的mysqld进程奔溃。这个时候，我发现top命令还是很好用的。怎么用呢？让我娓娓道来。前面不是讲到了，压测刚开始的120秒，没有问题，你可以在这个压测0~120秒的时候，打开top，你观察mysqld线程使用内存情况。你观察RES这一列，你会发现，mysqld进程RES值，从500M一直增长，增长到5G的时候，duang~，崩溃了。看出来了吧，mysql也有承受不住的时候。
为了验证自己是猜想，很简单，不要更改任何参数，增加机器内存到18G。再一次压测，验证了我的想法，mysqld进程再300个并发线程中使用掉了6G内存。
来看下300个并发压测情况
[root@yw-gz-hd-test-211 ~]# sysbench /usr/share/sysbench/oltp_read_write.lua --db-driver=mysql --mysql-host=localhost --mysql-socket=/data/mysql3308/mysql.sock --mysql-port=3308 --mysql-db=sbtest --mysql-user=root --mysql-password=123456 --table_size=10000000 --tables=10 --threads=300 --time=240 --report-interval=30 run sysbench 1.0.9 (using system LuaJIT 2.0.4) Running the test with following options: Number of threads: 300 Report intermediate results every 30 second(s) Initializing random number generator from current time Initializing worker threads... Threads started! [ 30s ] thds: 300 tps: 189.42 qps: 3911.05 (r/w/o: 2753.06/769.16/388.83) lat (ms,95%): 3151.62 err/s: 0.00 reconn/s: 0.00 [ 60s ] thds: 300 tps: 406.65 qps: 8146.63 (r/w/o: 5702.77/1630.57/813.30) lat (ms,95%): 1903.57 err/s: 0.00 reconn/s: 0.00 [ 90s ] thds: 300 tps: 1027.51 qps: 20561.94 (r/w/o: 14391.74/4115.19/2055.01) lat (ms,95%): 909.80 err/s: 0.00 reconn/s: 0.00 [ 120s ] thds: 300 tps: 915.33 qps: 18308.17 (r/w/o: 12818.23/3659.27/1830.67) lat (ms,95%): 802.05 err/s: 0.00 reconn/s: 0.00 [ 150s ] thds: 300 tps: 848.33 qps: 16954.26 (r/w/o: 11865.99/3391.60/1696.67) lat (ms,95%): 787.74 err/s: 0.00 reconn/s: 0.00 [ 180s ] thds: 300 tps: 1015.47 qps: 20327.15 (r/w/o: 14231.78/4064.44/2030.93) lat (ms,95%): 682.06 err/s: 0.00 reconn/s: 0.00 [ 210s ] thds: 300 tps: 1293.73 qps: 25882.66 (r/w/o: 18120.80/5174.40/2587.47) lat (ms,95%): 493.24 err/s: 0.00 reconn/s: 0.00 [ 240s ] thds: 300 tps: 1705.07 qps: 33979.32 (r/w/o: 23772.88/6803.07/3403.37) lat (ms,95%): 419.45 err/s: 0.00 reconn/s: 0.00 SQL statistics: queries performed: read: 3110016 write: 888576 other: 444288 total: 4442880 transactions: 222144 (924.53 per sec.) queries: 4442880 (18490.54 per sec.) ignored errors: 0 (0.00 per sec.) reconnects: 0 (0.00 per sec.) General statistics: total time: 240.2250s total number of events: 222144 Latency (ms): min: 2.52 avg: 324.16 max: 50333.39 95th percentile: 1050.76 sum: 72010070.69 Threads fairness: events (avg/stddev): 740.4800/78.20 execution time (avg/stddev): 240.0336/0.06
成绩还不错，QPS：18490，TPS：924。95%的响应时间是1050ms，就是1秒，可以接受
来看看600并发连接线程情况
[root@yw-gz-hd-test-211 ~]# sysbench /usr/share/sysbench/oltp_read_write.lua --db-driver=mysql --mysql-host=localhost --mysql-socket=/data/mysql3308/mysql.sock --mysql-port=3308 --mysql-db=sbtest --mysql-user=root --mysql-password=123456 --table_size=10000000 --tables=10 --threads=600 --time=240 --report-interval=30 run sysbench 1.0.9 (using system LuaJIT 2.0.4) Running the test with following options: Number of threads: 600 Report intermediate results every 30 second(s) Initializing random number generator from current time Initializing worker threads... Threads started! [ 30s ] thds: 600 tps: 177.45 qps: 3866.55 (r/w/o: 2740.46/751.20/374.88) lat (ms,95%): 6594.16 err/s: 0.00 reconn/s: 0.00 [ 60s ] thds: 600 tps: 508.61 qps: 10190.12 (r/w/o: 7130.15/2042.76/1017.21) lat (ms,95%): 2828.87 err/s: 0.00 reconn/s: 0.00 [ 90s ] thds: 600 tps: 833.10 qps: 16581.88 (r/w/o: 11603.42/3312.26/1666.20) lat (ms,95%): 1506.29 err/s: 0.00 reconn/s: 0.00 [ 120s ] thds: 600 tps: 712.40 qps: 14275.18 (r/w/o: 9994.28/2856.20/1424.70) lat (ms,95%): 1589.90 err/s: 0.00 reconn/s: 0.00 [ 150s ] thds: 600 tps: 828.53 qps: 16595.37 (r/w/o: 11637.94/3300.27/1657.17) lat (ms,95%): 1280.93 err/s: 0.00 reconn/s: 0.00 [ 180s ] thds: 600 tps: 1152.15 qps: 23046.54 (r/w/o: 16115.87/4626.50/2304.17) lat (ms,95%): 1032.01 err/s: 0.00 reconn/s: 0.00 [ 210s ] thds: 600 tps: 1422.39 qps: 28470.31 (r/w/o: 19918.05/5707.53/2844.74) lat (ms,95%): 707.07 err/s: 0.00 reconn/s: 0.00 [ 240s ] thds: 600 tps: 1874.42 qps: 37511.54 (r/w/o: 26257.48/7505.04/3749.01) lat (ms,95%): 601.29 err/s: 0.00 reconn/s: 0.00 SQL statistics: queries performed: read: 3161774 write: 903364 other: 451682 total: 4516820 transactions: 225841 (939.46 per sec.) queries: 4516820 (18789.23 per sec.) ignored errors: 0 (0.00 per sec.) reconnects: 0 (0.00 per sec.) General statistics: total time: 240.3923s total number of events: 225841 Latency (ms): min: 2.75 avg: 637.78 max: 44200.42 95th percentile: 1678.14 sum: 144036928.60 Threads fairness: events (avg/stddev): 376.4017/48.51 execution time (avg/stddev): 240.0615/0.03
这个时候我们看到大量的慢查询语句，95%响应时间是1678ms，就是1.6秒，有些慢了。看看慢查询都是些什么语句：
# Time: 2018-07-18T14:22:07.662597+08:00 # User@Host: root[root] @ localhost [] Id: 592 # Query_time: 7.400737 Lock_time: 0.000028 Rows_sent: 0 Rows_examined: 1 SET timestamp=1531894927; UPDATE sbtest5 SET k=k+1 WHERE id=5024619; # Time: 2018-07-18T14:22:07.662786+08:00 # User@Host: root[root] @ localhost [] Id: 202 # Query_time: 4.220504 Lock_time: 0.000027 Rows_sent: 0 Rows_examined: 1 SET timestamp=1531894927; UPDATE sbtest5 SET k=k+1 WHERE id=5024572; # Time: 2018-07-18T14:22:07.662829+08:00 # User@Host: root[root] @ localhost [] Id: 544 # Query_time: 3.662601 Lock_time: 0.000021 Rows_sent: 0 Rows_examined: 1 SET timestamp=1531894927; DELETE FROM sbtest5 WHERE id=5024577; # Time: 2018-07-18T14:22:07.662634+08:00 # User@Host: root[root] @ localhost [] Id: 402 # Query_time: 4.832428 Lock_time: 0.000023 Rows_sent: 0 Rows_examined: 1 SET timestamp=1531894927; UPDATE sbtest5 SET c='53575816661-90198037463-61731021712-17992612508-02527517402-89815419518-53211578757-17129425245-97225103738-94879199437' WHERE id=5024586;
都是更新语句。这些语句非常耗费IO的
再来看看900个并发线程的情况。
[root@yw-gz-hd-test-211 ~]# sysbench /usr/share/sysbench/oltp_read_write.lua --db-driver=mysql --mysql-host=localhost --mysql-socket=/data/mysql3308/mysql.sock --mysql-port=3308 --mysql-db=sbtest --mysql-user=root --mysql-password=123456 --table_size=10000000 --tables=10 --threads=900 --time=240 --report-interval=30 run sysbench 1.0.9 (using system LuaJIT 2.0.4) Running the test with following options: Number of threads: 900 Report intermediate results every 30 second(s) Initializing random number generator from current time Initializing worker threads... Threads started! [ 30s ] thds: 900 tps: 347.86 qps: 7432.37 (r/w/o: 5273.60/1433.11/725.65) lat (ms,95%): 5124.81 err/s: 0.00 reconn/s: 0.00 [ 60s ] thds: 900 tps: 561.28 qps: 11176.43 (r/w/o: 7801.59/2252.28/1122.55) lat (ms,95%): 10158.80 err/s: 0.00 reconn/s: 0.00 [ 90s ] thds: 900 tps: 643.33 qps: 12944.09 (r/w/o: 9077.29/2580.13/1286.67) lat (ms,95%): 2932.60 err/s: 0.00 reconn/s: 0.00 [ 120s ] thds: 900 tps: 360.53 qps: 7200.07 (r/w/o: 5039.67/1439.33/721.07) lat (ms,95%): 6135.91 err/s: 0.00 reconn/s: 0.00 [ 150s ] thds: 900 tps: 728.53 qps: 14524.71 (r/w/o: 10134.68/2933.03/1457.00) lat (ms,95%): 2585.31 err/s: 0.00 reconn/s: 0.00 [ 180s ] thds: 900 tps: 1268.27 qps: 25410.63 (r/w/o: 17798.37/5075.80/2536.47) lat (ms,95%): 1561.52 err/s: 0.00 reconn/s: 0.00 [ 210s ] thds: 900 tps: 1676.04 qps: 33561.08 (r/w/o: 23477.06/6731.82/3352.21) lat (ms,95%): 1869.60 err/s: 0.00 reconn/s: 0.00 [ 240s ] thds: 900 tps: 2290.01 qps: 45719.85 (r/w/o: 31996.75/9148.79/4574.31) lat (ms,95%): 1352.03 err/s: 0.00 reconn/s: 0.00 SQL statistics: queries performed: read: 3318098 write: 948028 other: 474014 total: 4740140 transactions: 237007 (985.74 per sec.) queries: 4740140 (19714.74 per sec.) ignored errors: 0 (0.00 per sec.) reconnects: 0 (0.00 per sec.) General statistics: total time: 240.4346s total number of events: 237007 Latency (ms): min: 2.76 avg: 911.43 max: 31437.18 95th percentile: 2778.39 sum: 216015485.39 Threads fairness: events (avg/stddev): 263.3411/37.88 execution time (avg/stddev): 240.0172/0.02
看到了，95%响应时间是2.7秒，数据库mysql响应时间越来越慢，越来越不堪重负。崩溃就在一瞬间。如我所见，innodb_buffer_pool_size=18G时候，1000个并发线程导致mysqld崩溃了。终于承受不住。
我们来大概测算一下，100个并发需要多大的内存：
| 并发数 | innodb_buffer_pool_size | mysqld是否崩溃 |
| 200 | 5G | 否 |
| 300 | 5G | 崩溃 |
| 600 | 18G | 否 |
| 900 | 18G | 否 |
| 1000 | 18G | 崩溃 |
看来100并发线程，mysqld至少需要2G内存，另外考虑留给操作系统占用2G内存。所以一个4核8G机器，线程数不要设置超过250个。这个既是保护数据库不崩溃，保证响应时间在合理范围之内(1秒)，又是，当连接达到上限的时候，程序有报错，提示DBA需要增加机器的内存。
看完了这篇文章，相信你对“如何把mysqld压测到崩溃重启”有了一定的了解，如果想了解更多相关知识，欢迎关注创新互联-成都网站建设公司行业资讯频道，感谢各位的阅读！
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