• 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.

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  • 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.

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  • 正如下面解释的一样,在使用这个特性之前,要确保您已经配置了要搜索的列,并且已经正确地创建了表索引。

    As explained below, be sure you have configured the search columns and properly indexed your tables before using this feature.

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  • 默认情况下,不同的IBMtsom表是在默认表空间创建的,所以您应该使用另一个表空间来存储事件数据和事件表索引。

    By default all the different IBM TSOM tables are created in the default table space, so you should use a separate table space for event data and event table indexes.

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  • 表索引。标准表或者排序表的最后被定位的行(表循环中当前所在行)。如果访问哈希表,则设置为0。

    Table index. Last addressed line of a standard table or sorted table. Is set to 0 if hashed table is accessed.

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  • 有了新建的索引,所有表都可以用索引扫描访问。

    With the newly created indexes, all tables are accessed with index scans.

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  • 对于本文的查询样例,图12显示了索引报告,它描述了引用表的现有索引。

    For the sample query in this article, Figure 12 shows the index report, which describes the existing indexes of the referenced tables.

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  • 尽可能避免表上有任何索引,尤其是不要有群集索引。

    Avoid having any indexes on the table, if possible, but particularly not a clustering index.

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  • DB 2索引顾问(index adviser)辅助设计表上的索引。

    DB2 index adviser provides assistance in the designing of indexes on tables. It is useful in the following situations.

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  • 索引能够避免全表扫描,从而能够提高查询性能。

    Indexes improve query performance by avoiding a full table scan.

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  • 访问计划定义按什么顺序访问表,使用哪些索引,以及用何种连接(join)方法来关联数据。

    An access plan defines the order for accessing tables, which indexes are used, and by what kind of join methods data is correlated.

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  • 目前的CTP 1仅支持表、索引和约束。

    CTP1 version only supports tables, indexes and constraints.

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  • 应用程序准备(编译)好一条语句之后,可以修改语句对象——表、索引、统计信息。

    After a statement has been prepared (compiled) by the application, the statement objects — tables, indexes, statistics — can be altered.

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  • 现在来看看DB 2数据库对象(比如模式、表、索引和存储过程)的实现以及这些对象的应用程序接口。

    Now turn your attention to the implementation of the DB2 database objects (such as, schema, tables, indexes, and stored procedures) and the application interface to these objects.

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  • 例如,DB 2Fundamentals考试测试考生的安全知识,表、索引和视图的创建和使用,SQL使用,以及隔离级别和锁定。

    For example, the DB2 Fundamentals exam tests a candidate's knowledge of security; creating and working with tables, indexes, and views; using SQL; and isolation levels and locking.

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  • 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.

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  • 自动表和索引重组。

    Automatic table and index reorganisation.

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  • 创建表和索引。

    Create the tables and indexes.

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  • 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.

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  • 缩小表或索引空间的规模。

    Reduce the number of extents of the table or index space.

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  • 该脚本创建一个包含关于表和索引使用的细节的报告。

    The script creates a report that provides details about table and index usage.

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  • 在单个dbspace中存储多个表或索引片段。

    Storing multiple table or index fragments in a single dbspace.

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  • 应当有多个磁盘用于DB 2日志、表和索引。

    There should be multiple disks for the DB2 logs, for tables, and for indexes.

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  • tcbstats all显示所有表和索引度量指标

    tcbstats all Show all table and index metrics

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  • 表和索引可以驻留在不同的dbspace中。

    Tables and indexes can reside in different dbspaces.

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  • 关于表空间和索引节点组或分区的信息。

    Information about the table space and index node groups or partitions.

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  • 书的最后一部分包括附录、术语表和索引。

    The last section of the book includes the appendices, the glossary, and an index.

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  • 创建表、视图、索引、触发器等的ddl语句。

    Generate DDL statements for tables, view, indexes, triggers, and more.

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  • 此外,DeepCompression则被用于压缩表和索引数据。

    In addition, Deep Compression was used to compress both table and index data.

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  • 那么,确定将哪些db2表或索引放在SSD上的最佳方式是什么?

    So, what's the best way to determine which DB2 tables or indexes to place on SSDs?

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