干货丨GreatSQL到底行不行？GreatSQL vsMySQL性能测试来了，速围观~

1.结论先行

无论ibp（innodb_buffer_pool_size）是否充足，MySQL的性能都远不如GreatSQL。

MySQL的性能平均约为GreatSQL的70%（最高84.5%，最低61.7%）。

在ibp充分的情况下，随着并发数的增加，MySQL并没有表现出该有的性能提升，反倒掉头向下，可见还是不够稳定。

在ibp不够的情况下，GreatSQL开启thread pool性能有所提升；当ibp充足的情况下，区别就不大了。

MySQL vs GreatSQL性能数据对比

48G 96G 144G 192G avg

MySQL  vs GreatSQL 0.6173 0.735 0.721 0.8449 0.7295

各数据库版本分别为

MySQL 8.0.30 MySQL Community Server - GPL

GreatSQL 8.0.25-16 GreatSQL, Release 16, Revision 8bb0e5af297

2.测试结果数据

2.1 ibp=48G

TPS 8th 16th 32th 64th 128th

GreatSQL-thdpool 969.16 1324.21 1661.57 2007.98 2331.4

GreatSQL 873.06 1146.85 1371.34 1509.8 1699.19

MySQL 686.14 846.5 915.15 1073.95 1439.29

P.S，后缀加上 thdpool 表示启用了thread pool。

QPS 8th 16th 32th 64th 128th

GreatSQL-thdpool 19383.2 26484.14 33231.49 40159.56 46627.89

GreatSQL 17461.16 22937.14 27426.87 30196.02 33983.78

MySQL 13722.8 16929.94 18303.03 21479 28785.7

2.2 ibp=96G

TPS 8th 16th 32th 64th 128th

GreatSQL-thdpool 1074.57 1407.54 1706.35 2206.06 2810.39

GreatSQL 1013.2 1198.5 1546.53 2033.04 2419.47

MySQL 751.7 986.11 1218.87 1778.67 2065.69

QPS 8th 16th 32th 64th 128th

GreatSQL-thdpool 21491.46 28150.73 34127 44121.2 56207.88

GreatSQL 20264.04 23969.97 30930.56 40660.83 48389.42

MySQL 15034.11 19722.27 24377.47 35573.39 41313.8

2.3 ibp=144G

TPS 8th 16th 32th 64th 128th

GreatSQL-thdpool 1059.46 1422.72 1853.24 2710.31 3481.66

GreatSQL 857.28 1327.67 1767.78 2660.8 3148.06

MySQL 857.05 1149.79 2038.3 2516.41 2510.15

QPS 8th 16th 32th 64th 128th

GreatSQL-thdpool 21189.17 28454.3 37064.79 54206.13 69633.25

GreatSQL 17145.52 26553.48 35355.47 53215.89 62961.17

MySQL 17140.96 22995.73 40765.95 50328.29 50202.93

2.4 ibp=192G

TPS 8th 16th 32th 64th 128th

GreatSQL 1406.86 1316.02 2144.17 4114.55 3310.67

GreatSQL-thdpool 1391.2 1247.93 2085.81 4053.76 3113.97

MySQL 1367.31 2629.75 2940.51 2687.48 2797.06

QPS 8th 16th 32th 64th 128th

GreatSQL 28137.19 26320.43 42883.45 82291 66213.47

GreatSQL-thdpool 27823.9 24958.68 41716.16 81075.21 62279.48

MySQL 27346.18 52595.01 58810.18 53749.63 55941.29

2.5 GreatSQL不同ibp下的数据

GreatSQL

TPS 8th 16th 32th 64th 128th QPS 8th 16th 32th 64th 128th

GreatSQL-thdpool(48G) 969.16 1324.21 1661.57 2007.98 2331.4 GreatSQL-thdpool(48G) 19383.2 26484.14 33231.49 40159.56 46627.89

GreatSQL(48G) 873.06 1146.85 1371.34 1509.8 1699.19 GreatSQL(48G) 17461.16 22937.14 27426.87 30196.02 33983.78

GreatSQL-thdpool(96G) 1074.57 1407.54 1706.35 2206.06 2810.39 GreatSQL-thdpool(96G) 21491.46 28150.73 34127 44121.2 56207.88

GreatSQL(96G) 1013.2 1198.5 1546.53 2033.04 2419.47 GreatSQL(96G) 20264.04 23969.97 30930.56 40660.83 48389.42

GreatSQL-thdpool(144G) 1059.46 1422.72 1853.24 2710.31 3481.66 GreatSQL-thdpool(144G) 21189.17 28454.3 37064.79 54206.13 69633.25

GreatSQL(144G) 857.28 1327.67 1767.78 2660.8 3148.06 GreatSQL(144G) 17145.52 26553.48 35355.47 53215.89 62961.17

GreatSQL(192G) 1406.86 1316.02 2144.17 4114.55 3310.67 GreatSQL(192G) 28137.19 26320.43 42883.45 82291 66213.47

GreatSQL-thdpool(192G) 1391.2 1247.93 2085.81 4053.76 3113.97 GreatSQL-thdpool(192G) 27823.9 24958.68 41716.16 81075.21 62279.48

2.6 MySQL不同ibp下的数据

MySQL

TPS 8th 16th 32th 64th 128th QPS 8th 16th 32th 64th 128th

MySQL(48G) 686.14 846.5 915.15 1073.95 1439.29 MySQL(48G) 13722.8 16929.94 18303.03 21479 28785.7

MySQL(96G) 751.7 986.11 1218.87 1778.67 2065.69 MySQL(96G) 15034.11 19722.27 24377.47 35573.39 41313.8

MySQL(144G) 857.05 1149.79 2038.3 2516.41 2510.15 MySQL(144G) 17140.96 22995.73 40765.95 50328.29 50202.93

MySQL(192G) 1367.31 2629.75 2940.51 2687.48 2797.06 MySQL(192G) 27346.18 52595.01 58810.18 53749.63 55941.29

测试环境&测试模式

3.1 测试工具

sysbench

/usr/local/bin/sysbench --version
sysbench 1.1.0

P.S，该版本是业内大咖修改后的，增加了99.9%的RT统计值，例如：

[ 1s ] thds: 128 tps: 10285.06 qps: 208112.71 (r/w/o: 145769.21/41646.36/20697.15) lat (ms,99%,99%,99.9%): 24.83/24.83/28.67 err/s: 0.00 reconn/s: 0.00
[ 2s ] thds: 128 tps: 9968.88 qps: 199013.18 (r/w/o: 139399.13/39676.28/19937.76) lat (ms,99%,99%,99.9%): 20.00/20.00/24.38 err/s: 0.00 reconn/s: 0.00
[ 3s ] thds: 128 tps: 10214.11 qps: 204613.28 (r/w/o: 143162.59/41022.47/20428.22) lat (ms,99%,99%,99.9%): 19.29/19.29/23.10 err/s: 0.00 reconn/s: 0.00
[ 4s ] thds: 128 tps: 10227.68 qps: 204402.77 (r/w/o: 143127.62/40819.79/20455.37) lat (ms,99%,99%,99.9%): 17.95/17.95/20.00 err/s: 0.00 reconn/s: 0.00
[ 5s ] thds: 128 tps: 10466.08 qps: 209233.51 (r/w/o: 146497.06/41804.30/20932.15) lat (ms,99%,99%,99.9%): 19.29/19.29/21.11 err/s: 0.00 reconn/s: 0.00

3.2 测试模式

利用sysbench生成64个表，每个表1250万条记录。

数据库总大小约191G。

sysbench采用 oltp_read_write 模式。

innodb_flush_method = O_DIRECT_NO_FSYNC。

GreatSQL在需要时才开启thread pool，MySQL不支持thread pool。

默认关闭InnoDB PQ。

因为没有额外测试机，所以采用本地socket方式连接，顺便关闭网络监听设置。

测试资源有限，所以只测试单机模式，没有开启MGR。

3.3 测试机硬件配置

最大物理内存：376G，但数据库分配IBP时分别为48G、96G、144G、192G，没有将物理内存全部耗尽。

磁盘：Dell NVMe SSD

$ nvme list | grep nvme1
/dev/nvme1n1          90L0A019TAHR        
Dell Express Flash CD5 3.84T SFF         1     
2.86  TB /   3.84  TB    512   B +  0 B   1.1.1

文件系统、ioscheduler

$ df -hT | grep nvme1
/dev/nvme1n1p1 xfs       3.5T  2.9T  706G  81% /data_nvme1n1p1

$ cat /sys/block/nvme1n1/queue/scheduler
[none] mq-deadline kyber bfq

• CPU

Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
Byte Order:          Little Endian
CPU(s):              176
On-line CPU(s) list: 0-175
Thread(s) per core:  2
Core(s) per socket:  22
Socket(s):           4
NUMA node(s):        4
Vendor ID:           GenuineIntel
BIOS Vendor ID:      Intel
CPU family:          6
Model:               85
Model name:          Intel(R) Xeon(R) Gold 6238 CPU @ 2.10GHz
BIOS Model name:     Intel(R) Xeon(R) Gold 6238 CPU @ 2.10GHz
Stepping:            7
CPU MHz:             2800.924
CPU max MHz:         3700.0000
CPU min MHz:         1000.0000
BogoMIPS:            4200.00
L1d cache:           32K
L1i cache:           32K
L2 cache:            1024K
L3 cache:            30976K
NUMA node0 CPU(s):   0,4,8,12,16,20,24,28,32,36,40,44,48,52,56,60,64,68,72,76,80,84,88,92,96,100,104,108,112,116,120,124,128,132,136,140,144,148,152,156,160,164,168,172
NUMA node1 CPU(s):   1,5,9,13,17,21,25,29,33,37,41,45,49,53,57,61,65,69,73,77,81,85,89,93,97,101,105,109,113,117,121,125,129,133,137,141,145,149,153,157,161,165,169,173
NUMA node2 CPU(s):   2,6,10,14,18,22,26,30,34,38,42,46,50,54,58,62,66,70,74,78,82,86,90,94,98,102,106,110,114,118,122,126,130,134,138,142,146,150,154,158,162,166,170,174
NUMA node3 CPU(s):   3,7,11,15,19,23,27,31,35,39,43,47,51,55,59,63,67,71,75,79,83,87,91,95,99,103,107,111,115,119,123,127,131,135,139,143,147,151,155,159,163,167,171,175
Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse

3.4 数据库配置选项参数

[mysqld]
skip-networking
lower_case_table_names = 1
character-set-server = UTF8MB4
skip_name_resolve = 1
default_time_zone = "+8:00"

#performance setttings
lock_wait_timeout = 3600
open_files_limit    = 65535
back_log = 1024
max_connections = 1024
max_connect_errors = 1000000
table_open_cache = 1024
table_definition_cache = 1024
thread_stack = 512K
sort_buffer_size = 4M
join_buffer_size = 4M
read_buffer_size = 8M
read_rnd_buffer_size = 4M
bulk_insert_buffer_size = 64M
thread_cache_size = 768
interactive_timeout = 600
wait_timeout = 600
tmp_table_size = 32M
max_heap_table_size = 32M

#log settings
log_timestamps = SYSTEM
log_error = error.log
log_error_verbosity = 3
slow_query_log = 1
log_slow_extra = 1
#log_slow_verbosity = FULL
slow_query_log_file = slow.log
long_query_time = 0.01
log_queries_not_using_indexes = 1
log_throttle_queries_not_using_indexes = 60
min_examined_row_limit = 0
log_slow_admin_statements = 1
log_slow_slave_statements = 1
log_bin = binlog

binlog_format = ROW
sync_binlog = 1
binlog_cache_size = 4M
max_binlog_cache_size = 2G
max_binlog_size = 1G
binlog_rows_query_log_events = 1
binlog_expire_logs_seconds = 604800
#binlog_expire_logs_auto_purge = 1
binlog_checksum = CRC32
gtid_mode = ON
enforce_gtid_consistency = TRUE

#myisam settings
key_buffer_size = 32M
myisam_sort_buffer_size = 128M

#replication settings
#master_info_repository = TABLE
#relay_log_info_repository = TABLE
relay_log_recovery = 1
slave_parallel_type = LOGICAL_CLOCK
slave_parallel_workers = 2
binlog_transaction_dependency_tracking = WRITESET
slave_preserve_commit_order = 1
slave_checkpoint_period = 2

#innodb settings
transaction_isolation = REPEATABLE-READ
innodb_buffer_pool_size = 2G
innodb_buffer_pool_instances = 8
innodb_data_file_path = ibdata1:12M:autoextend
innodb_flush_log_at_trx_commit = 1
innodb_log_buffer_size = 32M
innodb_log_file_size = 2G
innodb_log_files_in_group = 3
innodb_doublewrite_files = 2
innodb_max_undo_log_size = 4G
innodb_io_capacity = 400000
innodb_io_capacity_max = 800000
innodb_open_files = 65534
#本次测试采用O_DIRECT_NO_FSYNC模式
innodb_flush_method = O_DIRECT_NO_FSYNC
innodb_lru_scan_depth = 4000
innodb_lock_wait_timeout = 10
innodb_rollback_on_timeout = 1
innodb_print_all_deadlocks = 1
innodb_online_alter_log_max_size = 4G
innodb_print_ddl_logs = 0
innodb_status_file = 1
innodb_status_output = 0
innodb_status_output_locks = 1
innodb_sort_buffer_size = 67108864
#innodb_thread_concurrency = 176
#innodb_spin_wait_delay = 3
#innodb_sync_spin_loops = 10

#innodb monitor settings
innodb_monitor_enable = "module_innodb"
innodb_monitor_enable = "module_server"
innodb_monitor_enable = "module_dml"
innodb_monitor_enable = "module_ddl"
innodb_monitor_enable = "module_trx"
innodb_monitor_enable = "module_os"
innodb_monitor_enable = "module_purge"
innodb_monitor_enable = "module_log"
innodb_monitor_enable = "module_lock"
innodb_monitor_enable = "module_buffer"
innodb_monitor_enable = "module_index"
innodb_monitor_enable = "module_ibuf_system"
innodb_monitor_enable = "module_buffer_page"
innodb_monitor_enable = "module_adaptive_hash"

#pfs settings
performance_schema = 1
#performance_schema_instrument = '%memory%=on'
performance_schema_instrument = '%lock%=on'

#thread pool，需要开启thread pool时才取消下面两行注释
#thread_handling = 'pool-of-thread'
#thread_pool_stall_limit = 50

Enjoy GreatSQL :)