Database index is critical to query performance.
数据库索引对于查询性能来说十分关键。
This typically results in better query performance.
这通常会提高查询性能。
Indexes are commonly used to improve query performance.
通常，使用索引可以改善查询性能。
Using multi-dimensional clustering for query performance.
使用多维聚簇提高查询性能。
Outer joins may have a negative impact on query performance.
外部连接可能会对查询性能产生负面影响。
Indexes improve query performance by avoiding a full table scan.
索引能够避免全表扫描，从而能够提高查询性能。
This asynchrony can lead to significant improvements in query performance.
这种异步可以显著提高查询的性能。
As datasets grow larger, query performance becomes increasingly important.
随着数据集不断变大，查询性能愈发变得重要。
You'll notice as your collections grow that query performance will degrade.
您将注意到随着您的集合增长查询性能将会降低。
This feature can improve query performance on tables with composite indexes.
该特性可以提高具有复合索引的表的查询性能。
Can you replace useless indexes with indexes that enhance query performance?
你可以使用增强性能的索引替换无用索引吗？
An MQT can be indexed to provide an even greater boost to query performance.
可以在MQT上定义索引，这会进一步提高查询性能。
The SQL compiler uses informational constraints to improve query performance.
SQL编译器使用信息约束来提高查询性能。
The following is one of many approaches to tuning federated query performance.
下面是用于调优联邦查询性能的众多方法中的一种。
You'll find this a handy utility for debugging problems and improving query performance.
您将发现这个方便的实用程序可用于调试问题和提高查询性能。
Functions and operations that cannot be pushed down can greatly impact query performance.
不能下推的函数和操作会大大影响查询的性能。
To improve the query performance, consider manually creating an index for these fields.
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。
Defining indexes on the remote table on the data store might sometimes improve query performance.
在数据源上的远程表上定义索引有时候可以提高查询性能。
That simple step could lead to a new access path that might dramatically improve query performance.
这个简单的步骤可能产生新的访问路径，可能显著改进查询性能。
The more page requests that can be satisfied by a buffer pool, the better query performance will be.
一个缓冲池可满足的页面请求越多，将得到越高的查询性能。
This section focuses on tuning query performance for federated systems. Before tuning query performance
本节主要关注联邦系统中查询性能的调优。
Additionally, a combination of XML indices and relational indexes can further improve query performance.
此外，xml索引和关系型索引的组合使用还可以进一步提高查询性能。
Since planning logs are large, there may be an impact on query performance when this setting is enabled.
由于规划日志很大，在启用该设置时可能会影响查询性能。
An MQT can be used to enhance query performance through the pre-computation of aggregate values. For example.
MQT可用于通过预先计算聚合值来增强查询性能。
Finally, defining appropriate XML indexes in DB2 can speed runtime query performance, as we'll discuss shortly.
最后，在DB 2中定义适当的xml索引可以提高运行时查询性能，下面马上会进行讨论。
Also, many configurations connecting to the same LDAP server can improve the total staff query performance.
另外，许多配置连接到同一ldap服务器可提高人员总体查询效率。
When compiling queries, the host server USES a feature called the object cache to accelerate query performance.
在编译查询时，主机服务器将使用称为对象缓存(object cache)的特性加速查询性能。
Informational constraints help improve query performance in a WebSphere Information Integrator federated system.
信息约束有助于提高WebSphereInformation Integrator联邦系统中的查询性能。
This includes section data, values, actuals, etc, which are crucial during investigating a query performance issues.
这其中包括片段数据、值、实绩等，这对于研究一个查询的性能问题是至关重要的。
应用推荐