期间还可以提供提示通过提高某些字段索引或查询。
You can also provide hints by boosting certain fields during indexing or querying.
许多编程语言支持字段索引的概念，字段索引用于访问重复字段的特定实例。
Many programming languages support the concept of a field index for accessing a particular occurrence of a repeating field.
您可以通过索引或脚本中的名称查阅到数据池字段。
You can refer to datapool fields by index or by name in your script.
如果动作是一个索引，那么它常常采用对应字段的数据类型。
If this is an index, it usually takes on the data type of the corresponding field.
可以根据需要进一步添加字段和索引。
因此，此代码将检索内容字段，然后创建一个可供索引的新文档。
Therefore, the code retrieves the content field and then creates a new one that is ready for indexing.
至于索引过程捕捉的其他元数据字段，我将留给读者探索。
I will leave it to you to explore the other metadata fields captured by the indexing process.
为了改进查询的性能，那么您可以考虑手动为这些字段创建一个索引。
To improve the query performance, consider manually creating an index for these fields.
关于可搜索主题的在线文档提供了有关如何指定哪些类和字段可被包括到索引中的更多信息；请参见参考资料。
The online documentation for Searchable provides more information on specifying the classes and fields to be included in the index; see Resources.
所有实体的字段可以像只有一个文件那样被索引，并且是正则文本搜索可以匹配的实体。
All fields of an entity can be indexed as if it was a single document, and then regular text searches can be performed to retrieve the matching entities.
设计数据库引擎是为了基于指定关键字段构建表中记录的索引。
Database engines are designed to build indexes of the records in tables based on the designated key fields.
您要决定字段是否拥有索引，如果是的话，那么查询是否能够有效地使用索引。
Determine whether a field has an index and, if so, whether the query can efficiently use the index.
每一个索引文档也具有多值字段unid，其中包含与为该索引文档分配的关键字相匹配的源数据库中的所有文档的UNID。
Each index document also has multi-value field UNIDs, which contain the UNIDs of all documents in the source database that match the keyword assigned for that index document.
找到这些字段之后，用对应的索引更新值数组。
When they're found, update the value array with the corresponding index.
使用新文档更新索引数据库的代理目前速度很慢，且未进行优化，通过添加一对跟踪字段到索引文档中就可以解决这一问题。
The agent that updates the index database with new documents is currently rather slow and is not optimized, which can be fixed by adding a couple of tracking fields to the index documents.
有些字段包含大块数据而且大得你不想把它们存储在索引里面。
Some fields contain bulk data and are so large that you don't really want to store them in the index.
它包括所使用的索引、从数据库表检索字段的时间和执行查询的步骤次序。
It includes the indexes that are used, The Times at which fields are retrieved from the database tables, and the order of the steps that execute the query.
在这种情况下，第一个方法将通过指定结果集中的索引获得头字段的值，第二个方法通过用名字查询键来获得头字段的值。
In this case, the first method would obtain the value of the header field by specifying its index in the result set and the next one would retrieve a header field value by looking up its key by name.
WHERE子句中的字段决定了数据库将选择的索引。
The columns in the WHERE clause decide what index the database will select.
如果你索引很多的字段，关闭这些字段的不必要的特性将对索引速度提升产生很大的帮助。
If you are indexing many fields, turning off norms for those fields may help performance.
这是因为历史表格通常都是非常大的，而ClearQuest并不会为大多数的字段创建索引。
This is because the history table is usually quite large, and ClearQuest does not create index for most of the fields.
ClearQuest会为特定类型的字段创建一个索引，它应该涵盖大多数的用例。
ClearQuest creates an index for certain types of fields, which should cover most use cases.
一个表中的数据、索引、long字段和LOB部分可以存储在相同的表空间中，也可以分别放到不同的表空间中，以提高性能。
The data, index, long field, and LOB portions of a table can be stored in the same tablespace, or can be individually broken out into separate tablespaces for performance reasons.
用存储在索引里面的字段，取代用Document定位原始文件或数据并载入它，实际上你能把数据从Document中抽出来。
With the fields stored in the index, instead of using the Document to locate the original file or data and load it, you can actually pull the data out of the Document.
Indexes部分：在这个部分可以创建新的索引，或指定一个选项来在表的特定字段上启用或禁用索引。
Indexes section: Here you can create a new index or specify an option to either enable or disable the indexes on required fields of the table.
目前，Sparse索引只能有一个字段。
Sparse索引在所检索的字段并非经常出现在集合中时能提升性能。
Sparse indexes boost performance when searching by a field that is often missing within a collection.
包含了数据库字段和和索引的描述。
which contains descriptions of the database fields and indices.
存储索引——即使一个字段被整个索引，也不意味着它能很容易的被Lucene重构出来。
Stored in the index - even if a field is entirely indexed, it doesn't necessarily mean that it'll be easy for Lucene to reconstruct it.
存储索引——即使一个字段被整个索引，也不意味着它能很容易的被Lucene重构出来。
Stored in the index - even if a field is entirely indexed, it doesn't necessarily mean that it'll be easy for Lucene to reconstruct it.
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