mysql分表技术

一般来说，当我们的数据库的数据超过了100w记录的时候就应该考虑分表或者分区了，这次我来详细说说分表的一些方法。

目前我所知道的方法都是MYISAM的，INNODB如何做分表并且保留事务和外键，我还不是很了解。

首先，我们需要想好到底分多少个表，前提当然是满足应用。

这里我使用了一个比较简单的分表方法，就是根据自增id的尾数来分，也就是说分0-9一共 10个表，其取值也很好做，就是对10进行取模。

另外，还可以根据某一字段的md5值取其中几位进行分表，这样的话，可以分的表就很多了。

我一共建立10个表：

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" 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" 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最后一个表：a,有几点注意：insert_method=last,如果是insert_method=0,则会报错，执行不成功。

注意，合并表也必须和前面的表有相同的结构，类型，长度，包括字段的顺序都必须一致这里。

好了，当需要查询的时候，我们可以只对article这个表进行操作就可以了，也就是说这个表仅仅只能进行select操作，

那么对于 插入也就是insert操作应该如何来搞呢，首先就是获取唯一的id了，这里就还需要一个表来专门创建id，代码如下：

aaarticlea/png;base64,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" alt="" />

接下来，我们查看所以得表：

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAARMAAAEyCAIAAABWO6N8AAAKWUlEQVR4nO3dUbbithIFUKabWWUoDO19ZL1eNLaFdFzIgPb+on2FLFdxcjvEim///vvvP//8cwOGSA4kJAcSkgMJyYGE5EBCciAhOZCQHEhIDiQkBxKSAwnJgYTkQEJyICE5kPgvOff7/X6//zn49MdA5wz3vx0d71zM0fihSdoztwfE8z+dpbYXt4oK1GqsZ7Tpl3lMzn9rLVn36Md9+5bHP3bOtjvsaP5RE5JzNFVheE5O8vIUQ4Pn1PNdnpIzP/FHCSlPTuE63+pNV/Hu9Y/OPyE57/0kv0zObpYejxz96L73D86j4/2vG4Y+c+3raq///PU2rqi94N239J93O0/jovpPfd/oXM9RKUrqeXS8xtO/5+wW93Ed2z82rmf3jI2ubF8PXXx/e9onHVrn0ZGhcwVTDZ3r9nebti963ts47+ja2qfrH9xTz3d5+Q3B/W9PY7YN2M7QM0//64bdYY2D2/U0TtpeT+f19lzU6PHg7X9ev1zbdlh23qc6NE69e+S+8fK8b9dOTuPy2ivuL9PL5r08V3tJ/QezdQ4N7rmooQUfaa/wz+uXa9sO6z9jY/72j9qDR88+VLcBn5Ococr2nLTzYM/rl+vpHNxzUS8nbxhdf9CXl6f+nHre/+/l4hP9f1u7baqzu6z7Ruc82wU0zrKrcdL2OhsX/vS6f6m713tySVkRtsvuWc/u4jtPfXTw6MXuUnfX3Jh/d5Gj1RvgHgJ+1Rtjc5McyEgOJCQHEpIDCcmBhORAQnIgITmQeErOe//jEVfT3zKSsxT9LfMnObv3C20POv6Nx4/6S87vnKXobxnJWYr+lvHdGiQkBxKSAwnJgYTkQEJyICE5kJAcSEgOJLJ7CEZvgmoMm3MnVcn859f5coavqAO324nkPA7uD1v20/POz/94sefDk/30PMkpc+a+tcLBn9/RqhVee6WfX+evUZ6c+4Oj40fvGp2nf5FP49uLacxzfv6jH41e7+j621fBsDPfELTbsPvJOHpj5+D2JP1LHZ2n/XEfWudQHY5+FNeBMm/9nRN/Yu4b2Qrb8w9N2HOxPZ/soTpsTxGvPxhMS21yqj4xL5cx+gkYWkz/GY/e+446SM5n+fzkvOMTE8yzOyxY50fVgVycnPuD3eOPsz292H44trO9nD9Y53Y9nZfcOOnuj47mP1OH3an669B/sXT5jXsIth+77CNSNQ+/7zeSA7NJDiQkBxKSAwnJgYTkQEJyICE5kPD/lV6K/paRnKXobxnPz1nh+FF/yfmdsxT9LSM5S9HfMr5bg4TkQEJyICE5kJAcSEgOJCQHEpIDCcmBhHsIlqK/ZSRnKfpbRnKWor9lyv/vuHwy/Spz/hsCzWBFJb9zJOdbaFaZM8+mHnoLn0CzykjOUjSrzPm/rQ29i2vpVBn3EEBCciAhOZCQHEhIDiQkBxKSA4lp90q7W+cTKH6ZOcl5mlb/rqLyZeYnx6+dC6l8mTn7c57u09G/q6h8mTn7cx6T0/kW+Ghz9uc8jZScq6h8mTm7DJ4Cpn9XUfkyM5MzehbKqXyZaftzhv52x5sofpnaewjuB6rmh0/h7htISA4kJAcSkgMJyYGE5EBi8rMMfEN9Lf+RoMzM5Gjb5bSgzMz9Odp2OS0oM/P5Odp2OS0oM/P5OdrG75j5/BzJuZwWlJn5FBBtu5wWlJGcpWhBmTn7c+4bJ5ZMTvHL2J8DCXffQEJyICE5kJAcSEgOJCQHEpc8P+cd89ND/ctc9RSQ8lPQQ/HLSM5SFL/MzP05o6egnOKXmbk/Z3QwfC77c5aiBWWm7TLQs0+gC2XmPz9H8y6k+GXsz1mK4pexPwcS7r6BhORAQnIgITmQkBxISA4k7M9ZivqXsctgKYpfZvIz2+acgiOKX8b+nKUofpn5z8/ROX7BzP05o6egnOKXmfkUkGw8hRS/jP05S1H8MnP259xOfKNAIfUvY38OJNx9AwnJgYTkQEJyICE5kJAcSLhXeimKX2ZycvwXnmspfpmZyfHfRi+n+GWm7c8ZulWHN1H8MnP25zyO0Tx+wZz9Ofc9+aJJqXwZ+3OWovhlJGcpil9m2v6cp3fp3yVUvoz9OZBw9w0kJAcSkgMJyYGE5EBCciAx8ykgvqe+nOKXmf/8HC6kEWUkZykaUWbO/hwN+xAaUWbm/hz/ksPv8PycpSh+GbsMlqL4ZTw/ZymKX8bzc5ai/mXsz4GEu28gITmQkBxISA4kJAcSkgOJS55l8Kb5eUn9y0xLjp59Al0oY3/OUjSijP05S9GIMvbnQGLm83NGT0E5xS9jl8FSFL+M5CxF8cvYn7MU9S9jfw4k3H0DCcmBhORAQnIgITmQkBxIXPX8HF9VX0Lly1yyy0D/rqLyZSRnKSpfZs7+nN33jr6L81S+zJz9OWfGwyea/PwcsbmW+peZ+fwcbbucFpSRnKVoQZlp+3OGJudNtKCM/TmQcPcNJCQHEpIDCcmBhORAQnIgMfkpIL6kvpb6l5m/y0DzLqT4ZSRnKYpfZubzc4Zu1eEdFL/MtP05/j2HnzL5+TnCcy3FL+MpIEtR/DKSsxTFL+P5OUtR/zL250DC3TeQkBxISA4kJAcSkgMJyYGE/TlLUf8ydhksRfHLSM5SFL/MzP05o6egnOKXuWR/jubx9Tw/ZynqX2bmU0BGB1NO/ct4fs5StKDM/P056UopoAVl7M+BhLtvICE5kJAcSEgOJCQHEpIDiWn7czJH6/F9d0bRynxpcto/4oiilfnw5DR80VI/h6KVqd2f07glZ/SWgqPx7k44Q9HKZN8QPDZgNyG34xQNNe9o8tF5oNj5e6V3f/QUmPtG5/Ikp5ailXlTcvrHD51Ick5StDLl+3NeJsfvnAspWpk3fUNwFJ5s/m1g7h7WG1GxMtfeQ7CNh9byHdx9AwnJgYTkQEJyICE5kJAcSEgOJCQHEt+7P4eA/paRnKXob5k/ydm9Bebo1hjHv+v4UX/J+Z2zFP0tIzlL0d8yvluDhORAQnIgITmQkBxISA4kJAcSkgMJyYHE9h6CpwHfdafTt6zz1vw/1vdcwtH4q25O+6LK13hMzvbit7cMTl3cuEsWGZxx9+N+9Mf+t4/OU+srPiFl/kvO0T+lvi458wVl6alzf3Iex4/OU26hD0n7d86jnqIcdfH2998ijubcbXxnJxrzn5+nc/6eU+wOeyray6mOxo/OM3q9PTN31uHrdSanvxzb5t32IrE77cvx/Wd/ea6Xbx9dc7bCp4Pby29Pct8LTDDPydcvL/AH9SQn+OwedfTodXtYv6d3BRPuDrtvtMefmb9nzqPxo/P0rGe0hlnjvs/L5BR+Mhqvjzp98uyjXe+Zpz0ymPz28EntnPNofPBB3x159MbOhfWc8euVf7e2O6wxz1PX4/O2J++cp2cNPes/s86jP/aMbw9rL+PM687T/ZTtd2vb6myPH2mMPPpRu+v9zdhdarvTQ5fQc2k963x619H6X85/NL4xT2MZ/dfbPv7ydL/DPQSQkBxISA4kJAcSkgMJyYGE5EBCciAhORD4HyWftueeGOKeAAAAAElFTkSuQmCC" alt="" />

紧接着，我们进行“增删改查”的具体操作。

a.添加数据

步骤：

a-1,先通过表：cre_id,产生一个id值，然后取模（模10），得到，0,1,2,3,4,5,6,7,8,9任意一值。

a-2,拼装数据表：a_n,其中n=0,1,2,3,4,5,6,7,8,9。

a-3,执行常规的插入操作。insert into a_n(...)values(...);

b.代码：

<!doctype html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Document</title>
</head>
<body>
    <!-- <input type="text" value="">
    <input type="button" id="insert" onclick="insert();" value="插入数据" />
    <br/> -->

    <form action="insert.php" method="post" name="form1">
        标题：<input type="text" name="title" value=""  size="30"/><br/>
         内容：<textarea name="content" id="" cols="30" rows="10"></textarea><br/><br/>
        <input type="submit" value="提交" />

    </form>

</body>
<script>
    // function insert(){
    //     // alert("aaaaaaaa");
    //     window.location.href="insert.php";
    // }

</script>
</html>

<?php
header("content-type:text/html;charset=utf-8");
// echo "aaaa";
$con = mysql_connect("localhost","root","root");
$db = mysql_select_db('fenbiao');
mysql_set_charset("utf-8");

// var_dump($con,$db);
// echo "aaa";
$sql_num_id = "select count(id) as num from cre_id";

$sql_insert = mysql_query($sql_num_id);
// var_dump($sql_insert);
$res = mysql_fetch_assoc($sql_insert);
// var_dump($res);
$curr_num = intval($res['num']);
// var_dump($curr_num);
$insert_num = $curr_num + 1;

$cre_insert_id = "insert into cre_id(id)values($insert_num)";
$cre_query_id = mysql_query($cre_insert_id);

$table_id = ($insert_num) % 10;

$curr_table = "a_".$table_id;

$sql_a_num = "select count(id) as sum from {$curr_table}";

// echo $sql_a_num;
// exit;
$sql_a_query = mysql_query($sql_a_num);
$sql_a_res = mysql_fetch_assoc($sql_a_query);

$sql_a_sum = intval($sql_a_res['sum']);

$sql_a_insert_id = $sql_a_sum + 1;

$title = trim($_POST['title']);
$content = trim($_POST['content']);

$sql_a_sql = "insert into {$curr_table}(id,sub,con)values($sql_a_insert_id,'{$title}','{$content}')";
$sql_a_query = mysql_query($sql_a_sql);

if($cre_query_id > 0 && $sql_a_query > 0){
   echo "<script>alert('插入成功！');</script>";
   echo "<script>window.history.back();</script>";
}else{
   echo "<script>alert('插入失败！');</script>";
   echo "<script>window.history.back();</script>";
}

?>

几点注意：

对于表：cre_id,首先要查询该表总共的条数，当前id=总条数 + 1；

对于插入表：首先当前id模10，即（%10），拼接数据表："a_"+"模10后的取值"；

插入数据：首先要查询当前表的总数，当前表id= 当前表的总数 + 1，然后执行插入操作；

d.部分截图如下：

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基本上，执行插入操作就OK了。

e.至于：删除操作，修改操作，，之针对a_0,a_1,a_2,a_3.....a_9等进行操作。

如：delete from a_n where id = m;  n=0,1,1...9  ;  m=当前表id值

update a_n set sub='mm',con='nn' where id=mn;

f.select操作。针对于主表a进行就可以了。