数值数据类型的小数位数是小数点右侧的位数。
The scale of a numeric data type is the number of digits to the right of the decimal point.
如果值为varchar类型或数值数据类型(可以转换为varchar类型)，则结果类型是VARCHAR。
If the values are of type VARCHAR or a numerical data type, which can be converted to type VARCHAR, the resulting type is VARCHAR.
无论数据类型是数值类型还是引用类型，信息传递的一方都可能出现问题。
Whether a data type is a value type or a reference type, the communicating parties could also pose problems.
使用极大或极小的数字或者模仿从数值类型派生的私有数据类型。
Using very large or very small Numbers or emulating private data-types derived from numeric types.
幸亏有64位的数值，我们才能做到如此，但是我们的空间真的会用完，即使有这样的数据类型。
And thankfully with 64-bit values can we do so, but sure enough will we run out of space, even with those types of types.
该分析最常用于确保字段长度（对于数值型数据，则包括精度和等级）是一致的，但是也可以解决数据类型不匹配的问题。
Most commonly this looks to ensure that field lengths are consistent (or precision and scale for numerical data), but may also address issues in misaligned data types.
如果这个字段的数据类型为数值，那么这个字段就会增加到值区域，形成一个求和的默认集合。
If the data type of the field is numeric, the field is added to the Values area, with a default aggregation of sum.
dayTimeDuration 数据类型的值空间是对duration 数据类型的一种限制，其月属性值为 0，并具有一个小数形式的秒数值。
The value space of the dayTimeDuration datatype is a restriction of the value space of the duration datatype with a months property value of zero and a fractional seconds value.
小数数据类型用于指定一个数值。
小数数据类型用于指定一个数值。 。
小数数据类型用于定义数值。
例如，数据类型为“文本”的字段可以存储由文本或数字字符组成的数据，而“数字”字段只能存储数值数据。
For example, a field whose data type is text can store data consisting of either text or number characters, but a number field can store only numerical data.
幸亏有64位的数值，我们才能做到如此，但是我们的空间真的会用完，即使有这样的数据类型。
And thankfully with 64 - bit values can we do so, but sure enough will we run out of space, even with those types of types.
常见数据类型与默认类型转换器(将数值转换为字符串，并将字符串转换为相应数据类型)相关联。
Common data types are associated with default type converters that convert values into strings and strings into the appropriate data types.
我们将这些数据类型（数值和字符串）列表，这样在你使用这些数据类型的时候可以更加方便。
Rather than re-explain them every time they're used, we document them as distinct data types (though in reality they're numbers and strings).
我们将这些数据类型（数值和字符串）列表，这样在你使用这些数据类型的时候可以更加方便。
Rather than re-explain them every time they're used, we document them as distinct data types (though in reality they're numbers and strings).
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