插入50万条数据的时间简单比较。三个表song,song2,song3的字段一致。

mysql> desc song\G
*************************** 1. row ***************************
  Field: id
   Type: int(11)
   Null: NO
    Key: PRI
Default: NULL
  Extra: auto_increment
*************************** 2. row ***************************
  Field: name
   Type: text
   Null: NO
    Key:
Default:
  Extra:
*************************** 3. row ***************************
  Field: datetime
   Type: timestamp
   Null: NO
    Key:
Default: CURRENT_TIMESTAMP
  Extra:
*************************** 4. row ***************************
  Field: rank
   Type: int(11)
   Null: NO
    Key:
Default:
  Extra:
4 rows in set (0.00 sec)

mysql>


Welcome to the MySQL monitor.  Commands end with ; or \g.
Your MySQL connection id is 2
Server version: 6.0.0-alpha-community-nt-debug MySQL Community Server (GPL)

Type 'help;' or '\h' for help. Type '\c' to clear the buffer.

mysql> call sp_insert_mod(500000);
Query OK, 0 rows affected ( 1 min 7.27 sec)

mysql> call sp_insert_mod2(500000);
Query OK, 0 rows affected ( 1 min 19.81 sec)

mysql> call sp_insert_mod3(500000);
Query OK, 0 rows affected ( 1 min 33.17 sec)

mysql> select count(*) from song;
+----------+
| count(*) |
+----------+
|   500000 |
+----------+
1 row in set ( 0.02 sec)

mysql> select count(*) from song2;
+----------+
| count(*) |
+----------+
|   500000 |
+----------+
1 row in set ( 0.92 sec)

mysql> select count(*) from song3;
+----------+
| count(*) |
+----------+
|   500000 |
+----------+
1 row in set ( 2.61 sec)

mysql>exit
Bye
当然你可以对MyISAM表使用MRG_MYISAM引擎来调高速度，
对INNODB表使用PARTITION 来提高速度。

本文出自 “上帝，咱们不见不散！” 博客，转载请与作者联系！