每执行一次查询，都会引用该策略。
要获得信息，您要做的就是执行一次查询。
All you have to do to get the information out is make a query.
三本书要执行五次查询！
这里，我们对数据库进行一次查询，以获得所有的行。
Here, we make one query to the database to get all the rows.
如果对两者都支持，那么可以在同一次查询中使用它们吗？
请在两次查询之间至少等待一秒钟，否则可能会自动控制您的速度。
Please wait at LEAST ONE SECOND between queries, or you are likely to get automatically throttled.
范例：您可以运行一次查询，然后当后台运行查询时开始处理一次缺陷。
Example: You can run a query, then start working on a defect while the query is running in the background.
然而，如果获取单独的维度清单的查询开销较低，那么就可以进行两次查询。
However if the query to get the distinct dimension list is of a low cost then two queries should be used.
Google处理全世界一半的互联网搜索，每秒处理约35000次查询。
Google handles around half the world's Internet searches, answering around 35,000 queries every second.
看看只是检索JackHerrington的书籍时要执行多少次查询。
No. Look at how many queries we had to perform to retrieve only the books by Jack Herrington.
AddService方法被重载，以便在第一次查询服务时创建相应的服务。
The AddService method is overloaded to create services the first time they are queried.
对于DayTrader应用程序来说，每个任务都需要对数据库执行一次查询。
For the DayTrader application, each task performs a query against the database.
REOPT ONCE：查询执行中只发生一次查询优化，即在查询第一次执行时。
REOPT once: query optimization occurs once at query execution time, when the query is executed for the first time.
DB 2只缓存一次查询本身及其访问计划，就可以在每次执行该查询时使用它们。
The query itself and its access plan are cached once by DB2 and are then ready to be used every time the query is executed.
Lucene支持域搜索，你可以指定一次查询是在哪些域(Field)上进行。
Lucene supports field search. You can specify the fields that a query will be executed on.
比如，我常常听说XQuery能够一次查询多个不同的源文件，因此要比xslt优越得多。
For example, I often see the claim that XQuery's ability to query multiple, disparate sources in one pass gives it a distinct advantage over XSLT.
当只需要对数据库进行一次查询或简单的更新时，让会话bean直接访问数据库是正确的选择。
When just a query or a simple update to a database is needed, a session bean directly accessing the database is the right choice.
然而，看看可行的、首选的航班数量如此之多时，我们应该认识到不要再用穷举搜索法对每一次查询进行验证。
However looking at the total number of possible flights to ones that are viable and preferable should start to eliminate the need to apply Brute Force searching to every single query.
但是，由于在IWA中无法定义和实现临时表，所以Informix像处理普通查询一样处理第二次查询。
But since the temp tables had not been defined and realized in IWA, Informix handled the second query as a normal query.
这是因为ObjectGrid只支持单阶段提交事务(比两阶段提交要快得多)，因此一次查询只能跨越单个分区。
This is because the ObjectGrid only supports one-phase commit transactions (which are much faster than two-phase commit) and therefore a query can only span a single partition.
当事务再次执行查询，并发现一组结果自最后一次查询后由于另一个事务提交了新的数据而发生了更改，则会发生幻像读。
A phantom read occurs when a transaction re-executes a query and finds a set of results changed since the last query due to another transaction that committed new data.
如果使用惰性抓取，在默认情况下将执行11个查询—执行一个查询获取职员的列表，然后为获取每个职员的地址各执行一次查询。
By default, if lazy fetching is used, 11 queries will be executed - one for the list of employees and one for each employee's address.
许多查询会采用不同的文字反复进行，“他们常常查询众多数据，比如一次查询5年的历史数据，”Matthews说。
Many are repeated with different literals and they can ask for “a lot of data, such as five years of history at a shot,” Matthews says.
尽管一次查询请求可能不会返回队列中的所有消息，但是如果一直从队列中获取消息，最终会取样所有服务器，您就会得到所有消息。
Even though a particular request may not return all messages in the queue, if you keep retrieving from the queue it will end up sampling all of the servers and you'll get all your messages.
这意味着您必须先处理完查询结果，然后再重用JDBCStatement——例如，重新发出数据库查询——否则将丢失上一次查询到的所有结果。
This means you need to first process a query result completely before reusing a JDBC Statement — for example, by reissuing a database query — or you will lose any results from the previous query.
通过持久化视图，您保存了第一次运行查询的结果(仅在文档更改时更新)。
By persisting the view, you save the results of the query the first time you run it (updating only when documents change).
一次修改原始查询的一个地方，并进行测试，以查看是否提高了性能(减少了响应时间)。
Make changes to your original query one at a time, and test to see if the performance has improved (decreased response time).
一次修改原始查询的一个地方，并进行测试，以查看是否提高了性能(减少了响应时间)。
Make changes to your original query one at a time, and test to see if the performance has improved (decreased response time).
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