使用PHP驱动的MongoDB的单点查询性能测试
http://blog.chinaunix.net/uid-20726500-id-4998173.html
1. 插入数据
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-bash-4.1$ cat test.php
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<?php
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header("Content-Type:text/html;charset=utf-8");
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//MongoDB有用户名密码并指定数据库admin
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$conn = new Mongo("mongodb://127.0.0.1:27017/benchmark");
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$db = $conn->admin;
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//定制结果集(表名things)
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$collection = $db->members;
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//$time1 = xdebug_time_index();
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for($i=1;$i<1000000;$i++){
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$user = array(‘uname‘ => ‘chuchuchu_‘.$i, ‘name‘ => ‘褚褚褚‘, ‘password‘ => ‘e10adc3949ba59abbe56e057f20f883e‘, ‘email‘ => ‘[email protected]‘);
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$collection->insert($user);
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}
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$conn->close();
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//$time2 = xdebug_time_index();
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//echo "MongoDB响应时间为:".($time2-$time1)."秒";
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?>
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-bash-4.1$ time php test.php
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-
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real 1m45.062s
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user 0m22.609s
- sys 0m12.569s
2. 建索引
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-bash-4.1$ mongo benchmark
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...
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> use admin
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switched to db admin
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> db.members.ensureIndex({uname:1})
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{
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"createdCollectionAutomatically" : false,
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"numIndexesBefore" : 1,
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"numIndexesAfter" : 2,
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"ok" : 1
- }
3.单点索引查询
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-bash-4.1$ cat test_sel.php
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<?php
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header("Content-Type:text/html;charset=utf-8");
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$conn = new Mongo("mongodb://127.0.0.1:27017/benchmark");
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$db = $conn->admin;
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$collection = $db->members;
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for($i=1;$i<1000000;$i++){
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$query = array( ‘uname‘ => ‘chuchuchu_‘.$i);
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$cursor = $collection->find( $query );
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while( $cursor->hasNext() ) {
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$var=$cursor->getNext();
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}
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}
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$conn->close();
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?>
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-bash-4.1$ time php test_sel.php
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real 1m42.998s
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user 0m22.888s
- sys 0m13.160s
top的结果
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- [root@hanode1 ~]# top
- top - 03:27:45 up 8 days, 8:04, 6 users, load average: 0.35, 0.35, 0.17
- Tasks: 152 total, 1 running, 151 sleeping, 0 stopped, 0 zombie
- Cpu(s): 18.7%us, 5.2%sy, 0.0%ni, 74.2%id, 0.0%wa, 0.0%hi, 2.0%si, 0.0%st
- Mem: 1019320k total, 952192k used, 67128k free, 155224k buffers
- Swap: 2064376k total, 184k used, 2064192k free, 332756k cached
- PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
- 24809 postgres 20 0 575m 294m 11m S 65.2 29.6 3:23.02 mongod
- 28124 postgres 20 0 208m 7016 4528 S 34.9 0.7 0:02.05 php
索引查询速度大约每秒1w次,mongod消耗CPU 65.2%,经过计算将1个cpu core用满可以达到1.5w/s(1/0.652)。
4. 一级索引的测试
上面是二级索引的测试,那么"_id"的一级索引,性能会不会还有提升空间呢?也测一下看看。4.1 先把之前是数据删掉。
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- -bash-4.1$ mongo benchmark
- ...
- > use admin
- switched to db admin
- > db.members.drop()
- true
4.2 插入数据
点击(此处)折叠或打开
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-bash-4.1$ cat test_2.php
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<?php
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header("Content-Type:text/html;charset=utf-8");
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//MongoDB有用户名密码并指定数据库admin
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$conn = new Mongo("mongodb://127.0.0.1:27017/benchmark");
-
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$db = $conn->admin;
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//定制结果集(表名things)
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$collection = $db->members;
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//$time1 = xdebug_time_index();
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for($i=1;$i<1000000;$i++){
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$user = array(‘_id‘ => ‘chuchuchu_‘.$i, ‘name‘ => ‘褚褚褚‘, ‘password‘ => ‘e10adc3949ba59abbe56e057f20f883e‘, ‘email‘ => ‘[email protected]‘);
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$collection->insert($user);
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}
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$conn->close();
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//$time2 = xdebug_time_index();
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//echo "MongoDB响应时间为:".($time2-$time1)."秒";
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?>
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-bash-4.1$ time php test_2.php
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real 1m43.274s
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user 0m21.286s
- sys 0m12.985s
4.3 查询数据
点击(此处)折叠或打开-
-bash-4.1$ cat test_sel_2.php
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<?php
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header("Content-Type:text/html;charset=utf-8");
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$conn = new Mongo("mongodb://127.0.0.1:27017/benchmark");
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$db = $conn->admin;
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$collection = $db->members;
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for($i=1;$i<1000000;$i++){
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$query = array( ‘_id‘ => ‘chuchuchu_‘.$i);
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$cursor = $collection->find( $query );
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while( $cursor->hasNext() ) {
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$var=$cursor->getNext();
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}
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}
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$conn->close();
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?>
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-bash-4.1$ time php test_sel_2.php
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real 1m19.557s
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user 0m21.236s
- sys 0m12.156s
查询top结果
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- [root@hanode1 ~]# top
- top - 03:40:51 up 8 days, 8:17, 6 users, load average: 0.21, 0.37, 0.28
- Tasks: 152 total, 2 running, 150 sleeping, 0 stopped, 0 zombie
- Cpu(s): 17.5%us, 5.5%sy, 0.0%ni, 74.9%id, 0.0%wa, 0.0%hi, 2.1%si, 0.0%st
- Mem: 1019320k total, 787364k used, 231956k free, 83380k buffers
- Swap: 2064376k total, 184k used, 2064192k free, 142384k cached
- PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
- 24809 postgres 20 0 711m 420m 11m R 58.2 42.2 6:02.83 mongod
- 29480 postgres 20 0 208m 7016 4528 S 41.6 0.7 0:02.78 php
索引查询速度大约每秒1.26w次,mongod消耗CPU 58.2% ,经过计算将1个cpu core用满可以达到2.2w/s(1/0.582)。
5. 总结
在我的测试环境下,假设mongod 用满1个CPU core,一级索引的单点查询QPS可达到2.2w/s,二级索引则大约是1.5w/s。郑重声明:本站内容如果来自互联网及其他传播媒体,其版权均属原媒体及文章作者所有。转载目的在于传递更多信息及用于网络分享,并不代表本站赞同其观点和对其真实性负责,也不构成任何其他建议。