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    • 5. 发明授权
    • Merging materialized view pairs for database workload materialized view selection
    • 为数据库工作负载物化视图选择合并物化视图对
    • US06356890B1
    • 2002-03-12
    • US09629353
    • 2000-08-01
    • Sanjay AgrawalSurajit ChaudhuriVivek R. Narasayya
    • Sanjay AgrawalSurajit ChaudhuriVivek R. Narasayya
    • G06F1730
    • G06F17/30321Y10S707/99932Y10S707/99933Y10S707/99935
    • An index and materialized view selection wizard produces a fast and reasonable recommendation for a configuration of indexes, materialized views, and indexes on materialized views which are beneficial given a specified workload for a given database and database server. Candidate materialized views and indexes are obtained, and a joint enumeration of the combined materialized views and indexes is performed to obtain a recommended configuration. The configuration includes indexes, materialized views and indexes on materialized views. Candidate materialized views are obtained by first determining subsets of tables are referenced in queries in the workload and then finding interesting table subsets. Next, interesting subsets are considered on a per query basis to determine which are syntactically relevant for a query. Materialized views which are likely to be used for the workload are then generated along with a set of merged materialized views. Clustered indexes and non-clustered indexes on materialized views are then generated. The indexes, materialized views and indexes on materialized views are then enumerated together to form the recommended configuration.
    • 索引和物化视图选择向导可以为物理视图的索引,物化视图和索引配置提供快速合理的建议,这对给定数据库和数据库服务器的指定工作负载是有益的。 获取候选物化视图和索引,并执行组合实例化视图和索引的联合枚举,以获得推荐的配置。 配置包括物化视图的索引,物化视图和索引。 通过首先确定表中的子集在工作负载中的查询中引用并且然后找到有趣的表子集来获得候选物化视图。 接下来,在每个查询的基础上考虑有趣的子集,以确定哪个在查询语法上相关。 可能用于工作负载的物化视图随同一组合并物化视图一起生成。 然后生成物化视图上的聚簇索引和非聚集索引。 然后将物化视图的索引,物化视图和索引列在一起以形成推荐的配置。
    • 8. 发明授权
    • Application and database context correlation for database application developers
    • 数据库应用程序开发人员的应用程序和数据库上下文相关性
    • US08307343B2
    • 2012-11-06
    • US11875616
    • 2007-10-19
    • Surajit ChaudhuriVivek R. NarasayyaManoj A. Symala
    • Surajit ChaudhuriVivek R. NarasayyaManoj A. Symala
    • G06F9/44G06F7/00G06F17/30
    • G06F17/30306G06F8/20G06F11/3476G06F11/366G06F17/3041G06F2201/86
    • Infrastructure for capturing and correlating application context and database context for tuning, profiling and debugging tasks. The application context can include events such as data access events, and the database context can include events such as database server events. The events can be obtained from server tracing, data access layer tracing, and/or application tracing and written into respective log files. A data access event can indicate that an application consumed a row from a result set returned from a DBMS query. A post-processing step can correlate the application and database contexts by tokenizing strings and computing intersections between the tokenized strings. A tool inside a development environment may also suggest a query hint for the database or a data access API for the application based on the correlated context.
    • 用于捕获和关联应用程序上下文和数据库上下文以进行调整,分析和调试任务的基础结构。 应用程序上下文可以包括诸如数据访问事件的事件,并且数据库上下文可以包括诸如数据库服务器事件的事件。 可以从服务器跟踪,数据访问层跟踪和/或应用程序跟踪获取事件,并将其写入相应的日志文件。 数据访问事件可以指示应用程序从DBMS查询返回的结果集中消耗了一行。 后处理步骤可以通过标记字符串和计算标记字符串之间的交集来关联应用程序和数据库上下文。 开发环境内的工具也可能建议基于相关上下文的数据库查询提示或应用程序的数据访问API。