索引是 - 翻译成英语

index is
indexing is
indexes are

在 中文 中使用 索引是 的示例及其翻译为 英语

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增加索引是一个经济发展的积极因素和导致在美元增加。
The growth of the index is a positive factor for the development of national economy and leads to an increase in the dollar.
它用在一个索引的所有部分被联结使用并且索引是UNIQUE或PRIMARYKEY。
It is used when all parts of an index are used by the join and the index is a PRIMARY KEY or UNIQUE index..
它用在一个索引的所有部分被联接使用并且索引是UNIQUE或PRIMARYKEY。
It is used when all parts of an index are used by the join and the index is a PRIMARY KEY or UNIQUE index..
在矩阵的情况下,最后一个索引是列。
In the case of matrices, the last index is columns.
Map的索引是行关键字、列关键字以及时间戳;.
The map is indexed by a row key, column key, and a timestamp;
除非索引是创建PRIMARYKEY或UNIQUE约束的返回值。
A unique index is created when you create PRIMARY KEY or UNIQUE constraint.
在这里和其他数组方法中,负向索引是允许的。
Here and in other array methods, negative indexes are allowed.
请注意,第一个值的索引是0,不是1。
Remember that the first index is 0 not 1.
最流行的索引是B树和动态散列密钥索引方法。
The most popular indexes are the B-tree and the dynamic hash key indexing methods.
数组从0开始,最后一个索引是n-1。
An array index begins from 0 and the last index number is n-1.
索引(Index):索引是具有某些类似特征的文档集合。
Index: The index is a collection of documents that have similar characteristics.
字符串最后一个字符的索引是len(fruit)-1。
Last character accessed is the one with the index len(fruit)-1, which is the last.
第二个的索引是1,以此类推,你应该明白的。
The second index is 1, and so on, you should understand.
在多维数组的行主要布局中,第一个索引是变化最快的。
In the row-major layout of multi-dimensional arrays, the first index is the fastest changing.
所有InnoDB的索引是B数,其中索引记录被存储在树的树叶页。
All InnoDB indexes are B-trees where the index records are stored in the leaf pages of the tree.
所以读取第8个形状记录时,你使用的是它的索引是7。
So to read the 8th shape record you would use its index which is 7.
增加索引是一个经济发展的积极因素和导致在美元增加。
The increase of index value is considered to be a positive factor for the development of economy and will lead to the growth of dollar.
Fancy索引是一个术语,被NumPy用来描述使用整形数组索引。
Fancy indexing is a term adopted by NumPy to describe indexing using integer arrays.
这个标题的打印版本中出现的索引是故意从电子书上删除的。
The index that appeared in the print version of this title was intentionally removed from the eBook.
所以,一定要记得最后一个元素的索引是len(list)-1。
Remember that the last character of a string is len(username)- 1.
结果: 972, 时间: 0.0254

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