(聚集或非聚集)索引类型未指定。
索引类型取决于存储引擎。
这可以通过简单地改变附加重复的索引类型。
This could be changed by simply appending an index to duplicate types.
第四列将显示用于表示数据的索引类型(按照清单5的模式中的定义)。
The fourth column shows the index type (as defined in the schema in Listing 5) used to represent the datum.
总结一下关于XML连接查询的建议，通常将连接谓词转换为应使用的xml索引类型。
To summarize the advice for XML join queries, always cast join predicates to the type of the XML index that should be used.
索引名称与对应的编入索引的属性名称相同，且通常是一种MapRangeIndex索引类型。
An index is named the same as the corresponding indexed attribute and is always a MapRangeIndex index type.
如果您想用这种性能为Tasks和Summary所查看，您将在这两个索引类型中键入信息，如图24所示。
If you want the ability to see these for both Tasks and Summary Tasks, you will need to enter information into both index types, as shown in Figure 24.
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.
您可以排除来自索引更新中特定内容类型的所有实例。
You can exclude all instances of a specific content types from index updates.
然而在缺乏数据分布信息的情况下，优化器将基于表索引计算不同类型筛选器的选择性。
However, in the absence of data distribution information, the optimizer will calculate selectivity for filters of different types based on table indexes.
这包括关于建立到数据源的连接的信息、远程服务器属性、数据类型和函数映射、索引信息以及远程对象统计信息。
This includes information about establishing connections to the data source, remote server attributes, data type and function mappings, index information, and remote object statistics.
但是，如果没有数据分布，则数据库服务器根据表索引计算不同类型的过滤器的选择率。
However, in the absence of data distributions, the database server calculates selectivity for filters of different types based on table indexes.
恢复所有不同的类型，然后恢复所有表及其索引。
Restore all distinct types followed by all tables with their indexes.
函数索引可以根据用户定义的类型创建。
根据在文本索引格式中定义的文档类型，不同的吸取处理器和解析器会用于提取和过滤文本。
Depending on the type of document, which is defined with the text index format, different ingest handlers and parsers are used to extract and filter the text.
DB 2 9.5优化器使用两种类型的索引来优化查询，并帮助选择最佳的查询执行计划。
The DB2 9.5 optimizer USES both type of indexes to optimize the queries and help selecting the best plan for query execution.
页面、门户实体、以及搜索索引都是限定作用域资源的类型。
Pages, portlet entities, and search indexes are all scoped resource types.
除了索引或谓词与通配符和名称空间的包容性之外，索引合格性的第二个要求是谓词和索引的数据类型必须匹配。
In addition to proper index or predicate containment with wildcards and namespaces, the second requirement for index eligibility is that data types of predicates and indexes need to match.
在之前的部分您已经了解了一种类型的访问方法，即索引扫描(IXSCAN)，和一种类型的联接方法，即嵌套循环联接(NLJOIN)。
In the previous section you learned about one type of access method, index scan (IXSCAN), and one type of join method, nested loop join (NLJOIN).
正如您在表3中所看到的，字符串谓词只能由varchar类型的xml索引进行计算，而数值谓词只能由double类型的索引进行计算。
As you see in Table 3, a string predicate can only be evaluated with an XML index of type VARCHAR, while a numeric predicate can only be evaluated with an index of type DOUBLE.
BTYPE列显示对象类型：'T' 表示表，'I' 表示索引，'F' 表示函数实例。
The BTYPE column identifies the object type: 'T' for table, 'I' for index, and 'F' for function instance.
如果会绕过索引，应该对比较表达式的RHS执行类型转换。
If the index is being bypassed, then the RHS of the comparison should be type-cast.
关系索引的数据类型始终由索引列的类型来确定。
The data type of relational indexes is always determined by the type of the indexed column.
C#索引器的形式参数成为相应的UML操作的参数，而索引器的类型成为 UML 操作的返回类型。
The formal parameters of the C# indexer become the parameters of the corresponding UML operation and the type of the indexer becomes the return type of the UML operation.
xml索引和查询谓词中的数据类型。
MDC是一种索引化(indexing)类型，它通过减少访问数据时需要的磁盘读取次数，以及通过提高磁盘输入输出所需要的速度来提高性能。
MDC is a type of indexing that improves performance by reducing the amount of disk reads needed to access data, and by improving the speed of required disk input and output.
对于开发人员，我们提供一些真正好用的API以扩展Beagle能索引到的数据类型和搜索到这些索引。
For developers, we provide some really nice APIs for extending the types of data Beagle can index and then searching those indexes.
一个XISCAN计划，前提是只对表定义了一个单一的索引并且其类型为XML。
An XISCAN plan if only a single index is defined on the table and it is of type XML.
每个数据库对象有0到多个(0. .n)模式，每个模式可以有0到多个(0 . . n)表、索引、用户定义类型和例程等。
A database object can have zero to many (0.. n) schemas, and a schema can have zero to many (0.. n) tables, indexes, user-defined types, routines, and so on.
主键列、外键列和索引上使用的列的数据类型。
Data type of primary key columns, foreign key columns, and columns used on indexes.
应用推荐