查询函数能够处理标准化数据库事务，以便创建、读取、更新和删除数据(通称CRUD操作)。
The querying functions are capable of coping with the standard database transactions for creating, reading, updating, and deleting data (known as CRUD operations).
值得注意的是，您在执行其他查询函数时不能在指针和结果集上执行distinct函数，而应直接在集合上执行。
It's worth noting that you do not perform the distinct function on a cursor or result set as you do other query functions, but you perform it directly on the collection.
MongoDB 优于其他文档数据库的一个特性是它很容易将SQL语句转换成 MongoDB查询函数调用。
One feature that differentiates MongoDB from other document databases is that it is very straightforward to translate SQL statements into MongoDB query function calls.
一个查询一列字形的请求外加一个字体查询函数，该函数可以在不光栅化字体的每个字形的前提下提供尽可能多的字体信息。
A request to query the metrics for a list of glyphs along with a new font listing function which provides as much information about the font as can be gathered without rasterizing every glyph.
你所有需要做的是告诉你的结果列将是什么样的类型，MDB将处理转换的工作。 最简单的办法是把这样的信息传递给查询函数。
All you need to do is tell MDB what type your result columns will have and MDB handles the conversion.
它提供核心数据模型以及一组非常丰富的用于灵活查询的函数和原语。
It provides a core data model and a very rich set of functions and primitives for flexible query.
此函数先是通过查询这个场所来查证这个场所是否已经被存储在本地。
This function first checks to see if the venue has already been stored locally by querying for it.
可以在简单的SQL查询中轻松地调用此函数。
This function can be easily invoked from a simple SQL query.
该查询计划显示索引扫描使用了函数索引。
This query plan shows an index scan using our functional index.
通过成功处理程序和错误处理程序函数执行查询。
The query is executed with a success handler and an error handler function.
该查询计划展示了函数索引的使用。
注意：当索引表达式被用于关系表达式，或作为某个操作符类函数的参数时，查询优化器将考虑使用函数索引。
Note: the query optimizer considers using a functional index when the index expression is used in a relational expression or as an argument to one of the operator class functions.
第一个查询使用length函数。
解决此问题的一种方法是使用转型函数将查询的返回数据转型为VARCHAR。
A way to work around this is to cast the return of the query to a VARCHAR using a cast function.
当一个查询引用一个函数模板时，查询优化器尝试生成一个灵活的计划，允许在远程数据源上计算这个函数引用。
When a query references a function template, the query optimizer tries to generate a feasible plan that allows this function reference to be evaluated on the remote data source.
注意：优化器不会对下面这个查询使用函数索引。
Note: Here is a query for which the optimizer cannot consider using the functional index.
这些特性包括枚举支持、空间数据类型、自动编译LINQ查询、表值函数和多结果存储过程。
These include Enum support, Spatial data types, auto-compiled LINQ queries, Table-Valued functions, and stored procedures with multiple results.
查询用在PDH函数调用中更新它管理的计数器，因而获取性能数据。
Queries are used within PDH function calls to update the counters it manages, thereby obtaining performance data.
现在只需要编写一个执行查询的函数。
Now, all that's left is to build a function for executing this query.
DB 2允许将简单逻辑或查询封装在sql函数中。
DB2 allows simple logic or queries to be encapsulated into SQL functions.
这个查询示例调用rec2xml函数。
创建查询会返回一个句柄，可以用它来访问PDH函数中的查询。
The creation of a query returns a handle, which is used to allow access to the query in PDH functions.
使用数据库支持的函数作为查询表达式来扩展语法。
Using a database-supported function as a query expression to extend the grammar.
可以使用SQLObject的AND和OR函数来组合查询子句。
You can use SQLObject's and and OR functions to combine query clauses.
可以使用Viper2 中引入的XMLROW函数简化这个查询。
The query can be simplified using the new XMLROW function introduced in Viper 2.
上面的XQuery代码使用fn：encode - for - uri函数编码查询字符串。
The above XQuery code takes care to encode your query string using the fn: encode-for-uri function.
boost-float：增强函数查询的量。
要确定元组(tuple)是否满足查询，必须调用toupper函数。
Invoking the toUpper function is required in order to determine whether or not the tuple satisfies the query.
doPOST函数使用服务查询命令、查询输入值及一个回调函数来处理从这些服务返回的结果。
The doPOST function expects the service query command, query input values, and a callback function to process the result returned from the services.
如果您想支持其他查询，向fetch函数添加任何您需要的逻辑。
If you want to support other queries, add whatever logic you need to the fetch function.
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