mono for android mysql_性能 - MySQL与MongoDB 1000读取

最新推荐文章于 2025-04-22 13:44:49 发布

原创最新推荐文章于 2025-04-22 13:44:49 发布 · 75 阅读

0 ·

CC 4.0 BY-SA版权

文章标签：

#mono for android mysql

本文通过使用Golang 1.6与PHP5对MySQL及MongoDB进行基准测试，展示了不同规模数据插入、查询、更新及删除操作的性能表现。测试环境为DELL i5第四代处理器配4GB RAM。结果显示，在多数操作中Golang表现出更优的性能。

[https://github.com/reoxey/benchmark]

基准

MySQL＆amp;的速度比较 GOLANG1.6中的MongoDB＆amp;PHP5

系统用于基准测试：DELL cpu i5第四代1.70Ghz * 4 ram 4GB GPU内存2GB

对于INSERT，SELECT，UPDATE，DELETE执行不同行数的RDBMS与NoSQL的速度比较10,100,1000,10000,100000,1000000

用于执行的语言是：PHP5＆amp; 谷歌最快的语言GO 1.6

________________________________________________

GOLANG with MySQL (engine = MyISAM)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

INSERT

------------------------------------------------

num of rows time taken

------------------------------------------------

10 1.195444ms

100 6.075053ms

1000 47.439699ms

10000 483.999809ms

100000 4.707089053s

1000000 49.067407174s

SELECT

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 872.709µs

SELECT & DISPLAY

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 20.717354746s

UPDATE

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 2.309209968s

100000 257.411502ms

10000 26.73954ms

1000 3.483926ms

100 915.17µs

10 650.166µs

DELETE

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 6.065949ms

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

________________________________________________

GOLANG with MongoDB

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

INSERT

------------------------------------------------

num of rows time taken

------------------------------------------------

10 2.067094ms

100 8.841597ms

1000 106.491732ms

10000 998.225023ms

100000 8.98172825s

1000000 1m 29.63203158s

SELECT

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 5.251337439s

FIND & DISPLAY (with index declared)

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 21.540603252s

UPDATE

------------------------------------------------

num of rows time taken

------------------------------------------------

1 1.330954ms

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

________________________________________________

PHP5 with MySQL (engine = MyISAM)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

INSERT

------------------------------------------------

num of rows time taken

------------------------------------------------

10 0.0040680000000001s

100 0.011595s

1000 0.049718s

10000 0.457164s

100000 4s

1000000 42s

SELECT

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 <1s

SELECT & DISPLAY

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 20s

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

________________________________________________

PHP5 with MongoDB

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

INSERT

------------------------------------------------

num of rows time taken

------------------------------------------------

10 0.065744s

100 0.190966s

1000 0.2163s

10000 1s

100000 8s

1000000 78s

FIND

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 <1s

FIND & DISPLAY

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 7s

UPDATE

------------------------------------------------

num of rows time taken

------------------------------------------------

1000000 9s