MySQL令人大跌眼镜的隐式转换

本文接下来讲解的是MySQL的隐式转换,对此感兴趣的小伙伴很可以一起来看看

MySQL的隐式转换

一、问题描述

  • show create table t1\\G
  • *************************** 1. row ***************************
  • Table: t1
  • Create Table: CREATE TABLE `t1` (
  • `id` varchar(255) DEFAULT NULL
  • ) ENGINE=InnoDB DEFAULT CHARSET=utf8
  • 1 row in set (0.00 sec)
  • select * from t1;
  • +——————–+
  • | id |
  • +——————–+
  • | 204027026112927605 |
  • | 204027026112927603 |
  • | 2040270261129276 |
  • | 2040270261129275 |
  • | 100 |
  • | 101 |
  • +——————–+
  • 6 rows in set (0.00 sec)
  • 奇怪的现象:

  • select * from t1 where id=204027026112927603;
  • +——————–+
  • | id |
  • +——————–+
  • | 204027026112927605 |
  • | 204027026112927603 |
  • +——————–+
  • 2 rows in set (0.00 sec)
  • MySQL令人大跌眼镜的隐式转换

    什么鬼,明明查的是204027026112927603,为什么204027026112927605也出来了

    二、源码解释

    堆栈调用关系如下所示:

    MySQL令人大跌眼镜的隐式转换

    其中JOIN::exec()是执行的入口,Arg_comparator::compare_real()是进行等值判断的函数,其定义如下

  • int Arg_comparator::compare_real()
  • {
  • /*
  • Fix yet another manifestation of Bug#2338. 'Volatile' will instruct
  • gcc to flush double values out of 80-bit Intel FPU registers before
  • performing the comparison.
  • */
  • volatile double val1, val2;
  • val1= (*a)->val_real();
  • if (!(*a)->null_value)
  • {
  • val2= (*b)->val_real();
  • if (!(*b)->null_value)
  • {
  • if (set_null)
  • owner->null_value= 0;
  • if (val1 < val2) return -1;
  • if (val1 == val2) return 0;
  • return 1;
  • }
  • }
  • if (set_null)
  • owner->null_value= 1;
  • return -1;
  • }
  • 比较步骤如下图所示,逐行读取t1表的id列放入val1,而常量204027026112927603存在于cache中,类型为double类型(2.0402702611292762E+17),所以到这里传值给val2后val2=2.0402702611292762E+17。

    MySQL令人大跌眼镜的隐式转换

    当扫描到第一行时,204027026112927605转成doule的值为2.0402702611292762e17,等式成立,判定为符合条件的行,继续往下扫描,同理204027026112927603也同样符合

    MySQL令人大跌眼镜的隐式转换

    如何检测string类型的数字转成doule类型是否溢出呢?这里经过测试,当数字超过16位以后,转成double类型就已经不准确了,例如20402702611292711会表示成20402702611292712(如图中val1)

    MySQL令人大跌眼镜的隐式转换

    MySQL令人大跌眼镜的隐式转换

    MySQL string转成double的定义函数如下:

  • {
  • char buf[DTOA_BUFF_SIZE];
  • double res;
  • DBUG_ASSERT(end != NULL && ((str != NULL && *end != NULL) ||
  • (str == NULL && *end == NULL)) &&
  • error != NULL);
  • res= my_strtod_int(str, end, error, buf, sizeof(buf));
  • return (*error == 0) ? res : (res < 0 ? -DBL_MAX : DBL_MAX);
  • }
  • 真正转换函数my_strtod_int位置在dtoa.c(太复杂了,简单贴个注释吧)

  • /*
  • strtod for IEEE–arithmetic machines.
  • This strtod returns a nearest machine number to the input decimal
  • string (or sets errno to EOVERFLOW). Ties are broken by the IEEE round-even
  • rule.
  • Inspired loosely by William D. Clinger's paper "How to Read Floating
  • Point Numbers Accurately" [Proc. ACM SIGPLAN '90, pp. 92-101].
  • Modifications:
  • 1. We only require IEEE (not IEEE double-extended).
  • 2. We get by with floating-point arithmetic in a case that
  • Clinger missed — when we're computing d * 10^n
  • for a small integer d and the integer n is not too
  • much larger than 22 (the maximum integer k for which
  • we can represent 10^k exactly), we may be able to
  • compute (d*10^k) * 10^(e-k) with just one roundoff.
  • 3. Rather than a bit-at-a-time adjustment of the binary
  • result in the hard case, we use floating-point
  • arithmetic to determine the adjustment to within
  • one bit; only in really hard cases do we need to
  • compute a second residual.
  • 4. Because of 3., we don't need a large table of powers of 10
  • for ten-to-e (just some small tables, e.g. of 10^k
  • for 0 <= k <= 22).
  • */
  • 既然是这样,我们测试下没有溢出的案例

  • select * from t1 where id=2040270261129276;
  • +——————+
  • | id |
  • +——————+
  • | 2040270261129276 |
  • +——————+
  • 1 row in set (0.00 sec)
  • select * from t1 where id=101;
  • +——+
  • | id |
  • +——+
  • | 101 |
  • +——+
  • 1 row in set (0.00 sec)
  • 结果符合预期,而在本例中,正确的写法应当是

  • select * from t1 where id='204027026112927603';
  • +——————–+
  • | id |
  • +——————–+
  • | 204027026112927603 |
  • +——————–+
  • 1 row in set (0.01 sec)
  • 三、结论

    避免发生隐式类型转换,隐式转换的类型主要有字段类型不一致、in参数包含多个类型、字符集类型或校对规则不一致等
    隐式类型转换可能导致无法使用索引、查询结果不准确等,因此在使用时必须仔细甄别
    数字类型的建议在字段定义时就定义为int或者bigint,表关联时关联字段必须保持类型、字符集、校对规则都一致

    最后贴一下官网对于隐式类型转换的说明吧

    1、If one or both arguments are NULL, the result of the comparison is NULL, except for the NULL-safe
    <=> equality comparison operator. For NULL <=> NULL, the result is true. No conversion is needed.
    2、If both arguments in a comparison operation are strings, they are compared as strings.
    3、If both arguments are integers, they are compared as integers.
    4、Hexadecimal values are treated as binary strings if not compared to a number.
    5、If one of the arguments is a TIMESTAMP or DATETIME column and the other argument is a
    constant, the constant is converted to a timestamp before the comparison is performed. This is
    done to be more ODBC-friendly. This is not done for the arguments to IN(). To be safe, always
    use complete datetime, date, or time strings when doing comparisons. For example, to achieve best
    results when using BETWEEN with date or time values, use CAST() to explicitly convert the values to
    the desired data type.
    A single-row subquery from a table or tables is not considered a constant. For example, if a subquery
    returns an integer to be compared to a DATETIME value, the comparison is done as two integers.
    The integer is not converted to a temporal value. To compare the operands as DATETIME values,
    use CAST() to explicitly convert the subquery value to DATETIME.
    6、If one of the arguments is a decimal value, comparison depends on the other argument. The
    arguments are compared as decimal values if the other argument is a decimal or integer value, or as
    floating-point values if the other argument is a floating-point value.
    7、In all other cases, the arguments are compared as floating-point (real) numbers.

    以上就是MySQL令人大跌眼镜的隐式转换的详细内容,更多关于MySQL的隐式转换的资料请关注钦钦技术栈其它相关文章!,希望大家以后多多支持我们!

    原文链接:https://blog.csdn.net/n88Lpo/article/details/101013055

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