使用PHP驱动的MongoDB的单点查询性能测试
之前的测试，发现MongoDB的插入操作在使用PHP驱动时比使用mongo控制台更快。测试发现查询也是类似的情况（以下测试都使用WT引擎）。http://blog.iyunv.com/uid-20726500-id-4998173.html
1. 插入数据
[*]-bash-4.1$ cat test.php
[*]admin;
[*]//定制结果集(表名things)
[*]$collection = $db->members;
[*]//$time1 = xdebug_time_index();
[*]
[*]for($i=1;$i 'chuchuchu_'.$i, 'name' => '褚褚褚', 'password' => 'e10adc3949ba59abbe56e057f20f883e', 'email' => 'dhaig@yahoo.com.cn');
[*]$collection->insert($user);
[*]}
[*]
[*]$conn->close();
[*]//$time2 = xdebug_time_index();
[*]//echo "MongoDB响应时间为：".($time2-$time1)."秒";
[*]?>
[*]
[*]-bash-4.1$ time php test.php
[*]
[*]
[*]real 1m45.062s
[*]user 0m22.609s
[*]sys 0m12.569s
2. 建索引
[*]-bash-4.1$ mongo benchmark
[*]...
[*]> use admin
[*]switched to db admin
[*]> db.members.ensureIndex({uname:1})
[*]{
[*] "createdCollectionAutomatically" : false,
[*] "numIndexesBefore" : 1,
[*] "numIndexesAfter" : 2,
[*] "ok" : 1
[*]}
3.单点索引查询
[*]-bash-4.1$ cat test_sel.php
[*]admin;
[*]$collection = $db->members;
[*]
[*]for($i=1;$i 'chuchuchu_'.$i);
[*]$cursor = $collection->find( $query );
[*]while( $cursor->hasNext() ) {
[*] $var=$cursor->getNext();
[*]}
[*]}
[*]
[*]$conn->close();
[*]
[*]?>
[*]
[*]-bash-4.1$ time php test_sel.php
[*]
[*]real 1m42.998s
[*]user 0m22.888s
[*]sys 0m13.160s
top的结果
[*]# 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。
[*]-bash-4.1$ mongo benchmark
[*]...
[*]> use admin
[*]switched to db admin
[*]> db.members.drop()
[*]true
4.2 插入数据
[*]-bash-4.1$ cat test_2.php
[*]admin;
[*]//定制结果集(表名things)
[*]$collection = $db->members;
[*]//$time1 = xdebug_time_index();
[*]
[*]for($i=1;$i 'chuchuchu_'.$i, 'name' => '褚褚褚', 'password' => 'e10adc3949ba59abbe56e057f20f883e', 'email' => 'dhaig@yahoo.com.cn');
[*]$collection->insert($user);
[*]}
[*]
[*]$conn->close();
[*]//$time2 = xdebug_time_index();
[*]//echo "MongoDB响应时间为：".($time2-$time1)."秒";
[*]?>
[*]
[*]-bash-4.1$ time php test_2.php
[*]
[*]
[*]real 1m43.274s
[*]user 0m21.286s
[*]sys 0m12.985s
原来test.php中的'uname'被改成了'_id'
4.3 查询数据
点击(此处)折叠或打开
[*]-bash-4.1$ cat test_sel_2.php
[*]admin;
[*]$collection = $db->members;
[*]
[*]for($i=1;$i 'chuchuchu_'.$i);
[*]$cursor = $collection->find( $query );
[*]while( $cursor->hasNext() ) {
[*] $var=$cursor->getNext();
[*]}
[*]}
[*]
[*]$conn->close();
[*]
[*]?>
[*]
[*]-bash-4.1$ time php test_sel_2.php
[*]
[*]real 1m19.557s
[*]user 0m21.236s
[*]sys 0m12.156s
原来test_sel.php中的'uname'被改成了'_id'
查询top结果
[*]# 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。
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