Question

我想检查一下与MySQL相比，CouchDB可以处理多少插入数据。我的测试很简单：持续10秒，继续插入{firstName: "Testing 001", lastName: "Testing 002"}并比较文档/行数。我得到的结果远非我的期望：

MySQL MyIsam：110,000行
MySQL InnoDB：52,000行
CouchDB： 3,300 个文件！

如果我错了，请纠正我，但NoSQL在简单的操作中总是优于关系数据库吗？我不希望有这么大的差异。也许我的测试是天真的，我不应该以这种方式比较这些数据库？我知道MySQL驱动程序可以访问连接池，并且不必在每个请求上重新创建TCP连接，但它是否会产生如此大的差异？

CouchDB插入是否应该如此慢，如果不是如何做到这一点？

我在干净的CouchDB数据库（没有任何设计文档）/ Macbook Pro 2.6Ghz i7,16GB RAM，SSD / CouchDB 1.4.0上运行我的测试

测试脚本：

var nano = require('nano')('http://localhost:5984');
var async = require('async');
var db = nano.db.use('test');
var mysql      = require('mysql');
var connection = mysql.createConnection({
  host     : 'localhost',
  user     : 'root',
  password : '',
  database: 'test'
});

/*
connection.connect(function(err){
    var t = new Date().getTime() + 10000;
    var i = 0;

    var page = 2,
        lastPage = 100;

    async.whilst(function () {
      return new Date().getTime()  < t;
    },
    function (next) {
        connection.query('INSERT INTO test (firstName, lastName) VALUES ("Testing 001","Testing 002")', function(err, rows, fields) {
          i += 1;
          next();
        });
    },
    function (err) {
        console.log( i );
        connection.end();
    });
});
*/

var t = new Date().getTime() + 10000;
var i = 0;

var page = 2,
    lastPage = 100;

async.whilst(function () {
  return new Date().getTime()  < t;
},
function (next) {
  db.insert({firstName: "Testing 001", lastName: "Testing 002"}, 'id-' + i, function(){
    i += 1;
    next();
  });
},
function (err) {
    console.log( i );
    connection.end();
});

//编辑：

事实证明，问题不在CouchDB方面。客户端的库/驱动程序有一些让它们变得非常慢的东西。使用apache基准测试的简单POST测试在CouchDB方面显示了非常好的结果：

$ ab -n 10000 -c 100 -p post-data -T "application/json" "http://192.168.50.102:5984/test/"
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking 192.168.50.102 (be patient)
Completed 1000 requests
Completed 2000 requests
Completed 3000 requests
Completed 4000 requests
Completed 5000 requests
Completed 6000 requests
Completed 7000 requests
Completed 8000 requests
Completed 9000 requests
Completed 10000 requests
Finished 10000 requests


Server Software:        CouchDB/1.5.0
Server Hostname:        192.168.50.102
Server Port:            5984

Document Path:          /test/
Document Length:        95 bytes

Concurrency Level:      100
Time taken for tests:   1.149 seconds
Complete requests:      10000
Failed requests:        0
Write errors:           0
Total transferred:      4120412 bytes
Total POSTed:           1920960
HTML transferred:       950095 bytes
Requests per second:    8704.85 [#/sec] (mean)
Time per request:       11.488 [ms] (mean)
Time per request:       0.115 [ms] (mean, across all concurrent requests)
Transfer rate:          3502.69 [Kbytes/sec] received
                        1632.98 kb/s sent
                        5135.67 kb/s total

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    0   0.1      0       2
Processing:     6   11   2.6     11      23
Waiting:        6   11   2.6     11      22
Total:          6   11   2.6     11      25

Answer 1

您一次只插入一个文档吗？您绝对应该使用批量文档加载工具进行实际比较：

http://docs.couchdb.org/en/latest/api/database/bulk-api.html#db-bulk-docs

在此处阅读有关CouchDB性能的更多信息：

http://guide.couchdb.org/draft/performance.html（有点过时，但大部分仍然相关）

使用CouchDB进行非常慢的插入？

1 个答案: