mysql query large data points table
When the amount of data surge, we will select the library table hash like manner to optimize data access speed, exemplified:
100 million data points 100 table
1. 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++;
2. The sub-table rules:
full_code as the primary key, made hash of full_code
$table_name=get_hash_table('code',$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;
}
Such data acquisition front insert table data stored by get_hash_table.
3. Use the merge storage engine to achieve a complete code table
CREATE TABLE IF NOT EXISTS code (
full_code char(10) NOT NULL,
create_time int(10) unsigned NOT NULL,
INDEX(full_code)
) TYPE=MERGE UNION=(code_0,code_1,code_2.......) INSERT_METHOD=LAST ;
By select * from code you can get all the data full_code.