0.1 billion data entries implement Mysql database sub-tables in PHP 100 sheets

: This article mainly introduces 0.1 billion pieces of data into Mysql database sub-tables in PHP. if you are interested in the PHP Tutorial, please refer to it. When the amount of data increases, you will choose database/table hash to optimize the data read/write speed. I made a simple attempt to divide 0.1 billion pieces of data into 100 tables. The specific implementation process is as follows:

First, create 100 tables:

$i=0;while($i<=99){echo "$newNumber \r\n";$sql="CREATE TABLE `code_".$i."` ( `full_code` char(10) NOT NULL, `create_time` int(10) unsigned NOT NULL, PRIMARY KEY  (`full_code`),) ENGINE=MyISAM DEFAULT CHARSET=utf8";mysql_query($sql);$i++;

Next, let's talk about my table sharding rule. full_code is used as the primary key, and we do hash on full_code.

The function is as follows:

$table_name=get_hash_table('code',$full_code);function get_hash_table($table,$code,$s=100){$hash = sprintf("%u", crc32($code));echo $hash;$hash1 = intval(fmod($hash, $s)); return $table."_".$hash1;}

In this way, get_hash_table is used to obtain the name of the table where data is stored before data is inserted.

Finally, we use the merge storage engine to implement a complete code table.

1 CREATE TABLE IF NOT EXISTS `code` (  2 `full_code` char(10) NOT NULL,3 `create_time` int(10) unsigned NOT NULL,4 INDEX(full_code)  5 ) TYPE=MERGE UNION=(code_0,code_1,code_2.......) INSERT_METHOD=LAST ;

In this way, we can use select * from code to obtain all the full_code data.

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