MySQL 对比 MSSQL INSERTs 速度测试

MySQL vs MSSQL INSERTs speed test

正在尝试查看是否有任何方法可以提高 MySQL 中的 INSERT 速度。我在 Windows 10 上 运行。这是我在循环中执行完全相同的 INSERT 10000 次后得到的结果:

MySQL:
CALL TestStoredProcedure(10000);
/* Affected rows: 0  Found rows: 1  Warnings: 0  Duration for 1 query: 48.906 sec. */

MSSQL:
EXEC TestStoredProcedure @iterations = 10000;
/* Affected rows: 10,000  Found rows: 0  Warnings: 0  Duration for 1 query: 0.875 sec. */

MySQL:

BEGIN
    DECLARE counter INT DEFAULT 1;

    WHILE counter <= iterations DO
        INSERT INTO mytable (COLUMN1, COLUMN2) VALUES (counter, 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA');
        SET counter = counter + 1;
    END WHILE;
END

MSSQL:

BEGIN
    DECLARE @counter int
    SET @counter = 1

    WHILE (@counter <= @iterations)
        BEGIN
            INSERT INTO mytable (COLUMN1, COLUMN2) VALUES (@counter, 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA')
            SET @counter = @counter + 1
        END
END

谢谢大家!解决方案在下面找到,它是插入 START TRANSACTION; 行。

结果:

InnoDB (using START TRANSACTION;): 0.406 sec
InnoDB: 48.312 sec
MyISAM: 23.218 sec
MEMORY: 22.922 sec
BLACKHOLE: 22.890 sec
ARCHIVE: 22.860 sec

对于初学者,尽可能避免循环

例如,您的 LOOP 需要 0.839 秒,而固定方法需要 0.027

INSERT INTO MyTable (COLUMN1, COLUMN2)
Select Top 10000 
       Column1 = row_number() over (order by (select NULL)) 
      ,Column2 = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
  From  master..spt_values n1, master..spt_values n2

编辑...纯属娱乐dbFiddle

您好,您可能正在使用 InnoDB 作为数据库引擎,InnoDB 的工作原理是它需要在每次插入后进行提交,这会使您的插入变慢,请按如下方式重写您的函数:

BEGIN

DECLARE counter INT DEFAULT 1;
Start transaction;
WHILE counter <= iterations DO
    INSERT into MyTable (Column1, Column2) VALUES (counter, 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA');
    SET counter = counter + 1;
END WHILE;
  commit;
END;