Note that the I index is on the FOOD set.
注意i是FOOD集合的索引。
If I index data, search and in turn find a result with say Solr, how do I know how to get all of the other information related to the bit it found?
如果我索引数据，搜索和发现结果与Solr说，我怎么知道如何获得相关的所有其他信息位发现吗？
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？
Fred Brooks: I collected maps as a kid. I had tried all kinds of ways to index my map collection, which got me interested in the notion of automatic data retrieval.
布鲁克斯：我从小就爱收集地图，为了给这些地图做索引，我曾尝试了各种各样的方法，在这种不断的尝试过程中，我对自动数据检索的概念产生了浓厚兴趣。
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 assets I used are the stocks in the current OEX (S&P 100) index.
我使用的资产是当前OEX（S&P 100）索引中的股票。
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