• 这种物化查询表中的数据用户维护的。

    The data in this type of materialized query table is maintained by the user.

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  • 为了支持这样场景现在可以创建查询表

    To support such scenarios, query tables can now be created.

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  • 请参阅关于物化查询表小节

    Refer to the section on Materialized Query Tables.

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  • 定义补充查询表属性

    Defining the supplemental table and query table properties.

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  • HTM为此提供两个内置特性定制属性查询表

    HTM offers two built-in features to this end: custom properties and query tables.

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  • 然后管理员查询表定义部署服务器上。

    The administrator then deploys the query table definition onto the server.

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  • 使用查询表添加元数据

    Using lookup tables to add metadata

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  • 这里会生成sql语句用于查询表被选中

    A SQL statement is generated for querying the selected columns in the table.

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  • 查询表定义已经创建了,本文项目交换文件中提供

    The query table definitions have been created already and are part of the project interchange file provided by this article.

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  • 但是访问在线服务之前,在查询表应该准备一些关键字

    But before accessing the online service, some keywords should be prepared in the query table.

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  • 该表强调任务数据使用查询表补充数据的连接

    This table also highlights the join of task data with supplemental data using a query table.

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  • 这个测试案例使用两个用户模拟查询表申明方法中的并发存取

    This test case uses two users to simulate concurrent access in the query table claim method.

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  • 首先创建一个补充查询表,供随后创建的复杂查询表引用

    A supplemental query table is created first, and is referenced by the composite query tables created thereafter.

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  • 通过查询emp物化查询表发现现在已经入了数据

    A query executed against the EMP materialized query table shows that it is now fully populated with data.

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  • 例如屏幕标签查询表XML文件格式可能下面这样。

    For example, the format of an XML file of screen labels lookup table might be the following.

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  • 两个项目之间需要关系映射时,这个特性主要用作一个查询表

    This feature is mainly used as a look up table when relationship mapping is needed between 2 items.

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  • 支持范围RCT)、物化查询表MQT有类型的表。

    Not supported are range clustered tables (RCT), materialized query tables (MQT), and typed tables.

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  • 物化查询表可以显著提高查询性能尤其是提高复杂查询性能。

    Materialized query tables can significantly improve the performance of queries, especially complex queries.

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  • 另外支持基于查询表属性、多次出现的属性、属性关系属性。

    Furthermore, support for lookup table-based attributes, multi-occurrence attributes, attribute groups, and relationship attributes comes out of the box.

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  • BPED b包含补充数据说明使用查询表方法声明分类功能

    This table contains the supplemental data to illustrate the sorting capability of the claim with the query table method.

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  • 重试用于查询表执行时出现并发异常查询表需要重新申明情况下

    The retry is used in case a concurrency exception does occur in the query table execution and the query table engine needs to retry the claim operation.

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  • 注册确定查询优化期间使用何种类型刷新延迟物化查询表

    The value of the register in turn determines what types of refresh deferred materialized query tables will be used during query optimization.

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  • 包含物化查询表中的数据来自定义物化查询表基于一个多个

    The data that is contained in an MQT is derived from one or more tables on which the materialized query table definition is based.

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  • 开发人员可以使用QueryTableBuilder工具创建查询表定义

    A developer can create a query table definition using the query table Builder tool.

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  • 例如可以添加一个查询表,把每个州的两位数字ZIP代码关联起来。

    For example, you might add a new lookup table associating each state and its two-digit ZIP code.

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  • 应用程序应该已经实现产品应该是一个说明使用查询表方法申明的样例。

    The application should not be seen as a production ready implementation, but rather a sample illustrating the use of the claim with the query table method.

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  • 改进性能联合需要经常使用缓存、物理查询表(MQT)以及分布式查询优化执行

    To improve performance, federation frequently USES caching, materialized query tables (MQTs), and distributed query optimization and execution.

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  • 我们考虑物化查询表(MQT)支持一个重要选项进一步优化联邦服务器性能

    We consider materialized query table (MQT) support an important option to further fine tune the performance of your federated server.

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  • OLTP查询很少需要选择查找作为需要相关表上索引支持联接查询表

    It is rare in an OLTP query for the lookup tables to be selected as the primary query tables requiring an index on the dependent table to support the join.

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  • 查询提供更好访问路径另一种方法使用DB2物化查询表(MQT)功能

    Another way to provide a new and better access path for a query is through the use of DB2's materialized query table (MQT) functionality.

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