Sybase, Inc.

Xiao Ming Zhou

Xun Cheng

Mihnea Andrei

Edwin Anthony Seputis

Nitesh Maheshwari

Prabhas Kumar Samanta

Haiyan Du

Mohyuddin Rehmattullah

Michelle Lim

Tat-Keong Loh

Disclosed herein are system, method, and computer program product embodiments for deferring or eliminating a need to decompress database data. An embodiment operates by decompressing a column of a database. The column may be represented by a predicate of a query. A row of the database may be determined to satisfy the predicate based on decompressed information from the column. Decompression of an additional column of the row may be deferred during execution the query until the row is determined to satisfy the predicate. The additional column may satisfy the query.

Deferring and/or eliminating decompressing database data

A method, a system and a computer program product for maintaining a pre-computed result set are disclosed. A server coupled to a data source determines whether an object stored in the data source received an update. The server identifies at least one identifier associated with a pre-computed result set based on that determination. The pre-computed result set is computed based on the object. The server computes an updated pre-computed result set using the identifier by applying the received update to the pre-computed result set.

Maintenance of a pre-computed result set

System and methodology for automatic tuning of database query optimizer is described. In one embodiment, in a database system having an optimizer for selecting a query plan for executing a database query, a method of the present invention is described for automatically tuning query performance to prevent query performance regression that may occur during upgrade of the database system from a prior version to a new version, the method comprises steps of: in response to receiving a given database query for execution, specifying a query plan generated by the prior version's optimizer as a baseline best plan for executing the given database query; generating at least one new query plan using the new version's optimizer; learning performance for each new query plan generated by recording corresponding query execution metrics; if a given new query plan is observed to have better performance than the best plan previously specified, specifying that given new query plan to be the best plan for executing the given database query; if a given new query plan is observed to have worse performance than the best plan previously specified, specifying that given new query plan to be a bad plan to be avoided in the future; and automatically tuning future execution of the given database query by using the query plan that the system learned was the best plan.

System and methodology for automatic tuning of database query optimizer

Systems, methods, computer program product embodiments for representing markup language document data in a searchable format in a database system are provided. An embodiment includes parsing a markup language document into a data stream, the data stream including a plurality of fields in a predefined format having a symbol table for at least one field of the data stream, and optimized field size based on a maximum value of data within each field, and storing the data stream in data storage.

Growing community of inventors

Singapore, Singapore

Xiao Ming Zhou