Autonomic system-wide sql query performance advisor

TL;DR: In this paper, the authors use a mimic of a database system to tune a production database system through the use of a remote mimic, which is then applied to the original database system.

TL;DR: In this article, a device for issuing data of a database, which comprises a configuration parameter generation module that generates configuration parameters according to a configuration command of a user received; a data service generation module, which generates corresponding data service; a parameter parsing module that parses the configuration parameters; a statement generation module which generates SQL (Structured Query Language) access data corresponding to the parsing result; and a data interface module that connects the data service to the database; statement execution module that executes SQL access data by the database and acquires corresponding appointed data from the database.

Abstract: The invention discloses a flow data processing method for a mobile terminal. The flow of the terminal is configured on the basis of an XML. The flow data processing method comprises a field parameter configuration step of configuring parameters of a field by an XML mode according to a table field and a demand of a user in an appointed database, a script obtaining step of obtaining an SQL script of the corresponding field, a script modification step of modifying the SQL script of the field, a naming step of naming an XML file through a main key defined by the flow, and a binding step of binding the XML file and the flow through the main key defined by the flow.

TL;DR: The new Automatic SQL Tuning feature of Oracle 10g is presented, implemented as a core enhancement of the Oracle query optimizer and offers a comprehensive solution to the SQL tuning challenges mentioned above.

TL;DR: In this paper, the authors propose a method, system, and computer program product to make query processing more robust in the face of optimization errors by validating the statistics and assumptions used for compiling a query as the query is executed and progressively re-optimizing the query in mid-execution based on the knowledge learned during its partial execution.

TL;DR: A query optimization system and method are particularly suitable for generating a least cost query plan expressible on a plurality of heterogeneous database schemas that are restructuring views of each other as discussed by the authors.

TL;DR: In this article, a system is described for generating query suggestions by integrating valuable query suggestions with experimental query suggestions using a network of users and advertisers using a memory, an interface, and a processor.