Note that the I index is on the FOOD set.
注意i是FOOD集合的索引。
Write index I for given number as the first number in line.
第一个数字输出给定数字的超级素数索引。
Football it's kind of bizarre, but the French call soccer football. And then I can index in it.
但是法国人不说soccer说，因此我可以把它加入索引。
By using the inductive effect index I as a characteristic bond-parameter, a formula is given describing the relation between the structure of N-nitrosamines and its acute toxicity.
亚硝胺类化合物的结构与毒性之间存在着一定的相互关系。用诱导效应指数I作为结构的特征键参数可以得到烷基亚硝安的结构与毒性的定量关系。
I riffled through the pages until I reached the index.
我快速翻阅至索引部分。
Don't worry if you aren't familiar with the JAB index, I just invented it!
如果您不熟悉JAB索引，请不要担心，这是我刚刚发明的！
I did that and also deleted the online manual and default index pages.
我这样做了，而且还删除了在线手册和默认的索引页。
I resolve to index data usefully.
我决心有效地索引数据。
The first time I tried the index card method, I noticed an inner voice in my head.
这是我第一次尝试使用索引卡片法。我注意到脑海里有一个心灵之声。
Q: How do I calculate the table and index size for a partitioned table (or any table for that matter)?
Q：如何计算已分区表（或者任何相关的表）的表大小和索引大小？
Now, what do I mean by using the appropriate index the right way?
现在，我所说的以正确方法使用适当索引的意思是什么呢？
Fortunately, starting in IBM I 7.1, a solution exists that allows us to index and search the text data associated with these IBM I objects.
幸运的是，从IBMi 7.1开始，就有一个解决方案允许我们索引和搜索与这些IBM i对象相关的文本数据。
To finish, I need to add an index file that points to all the output test results.
最后还需要增加一个索引文件指向输出的所有测试结果。
I distilled all that complex brainstorming and math into a single index card.
我将繁琐的讨论和数理推论中的精华写到了一张索引卡片上。
So I took pre-emptive action, composing on index cards a list of reasons why he and I should still hang out.
因此我先发制人，在索引卡片上列出了我和他仍然应该约出去的原因。
I have a body mass index of around 34 and wear a size 18-20 (UK), so I've certainly heard both before.
我的身体质量指数34左右，衣服尺寸为18 - 20(英国制)，可想而知，胖子或者肥胖者的称呼，我都有所耳闻。
Now take a look at the project that I mentioned earlier: removing unnecessary index tags.
现在看看我之前提到的问题：如何移除多余的索引标记？
I continued with this method, which also created an index of items.
我继续使用这个方法，还编制了一个物品索引。
If wanted to, I could also access the same column using the 2 index.
如果想试试，我也可以用索引2访问同一元素。
Now that I have data in the index, it's time to revisit the different ways to use it.
在把数据添加到索引中之后，我们将重温使用数据的各种方式。
The BTYPE column identifies the object type: 'T' for table, 'I' for index, and 'F' for function instance.
BTYPE列显示对象类型：'T' 表示表，'I' 表示索引，'F' 表示函数实例。
Q: How do I know if a data partition or an index partition needs to be reorganized?
Q：我如何知道一个数据分区或者索引分区是否需要重组？
Q: How can I tell if an index on a partitioned table is partitioned?
Q：我如何能辨别已分区表上的索引是否被分区？
Can I create a Web site index myself?
我能自己创建网络索引吗？
Q: Why can't I specify a table space for my local index using the CREATE index statement?
Q：为什么我无法利用CREATEindex语句为我的本地索引指定表空间？
Fortunately, the whole discussion of overflows does not apply to the hash index that I implemented.
幸运的是，针对溢出的全部讨论不会出现在我所实现的hash索引。
At least for now, I can create XML-node index databases using the simpler xml_indexer.py script.
至少目前我可以使用简单一些的xml_indexer . py脚本来创建xml节点索引数据库。
There may be more CPU usage and getpage operations, as well as more index page read and write I/Os.
可能需要使用更多的CPU 时间和getpage操作，以及更多的索引读取和写入I/O。
After the fortune is written to the user buffer, I increment the next_fortune index by the length of the last fortune written.
在将这个fortune写入用户缓冲区之后，在next _ fortune索引上增加刚才写入的fortune的长度。
The generated hash value is numeric, and I use this value as single index key for the string being indexed.
生成的hash值是数值型的，我使用这个值作为被索引的字符串的索引键。
应用推荐