Abstract: A data normalization system is described herein that represents multiple data types that are common within database systems in a normalized form that can be processed uniformly to achieve faster processing of data on superscalar CPU architectures. The data normalization system includes changes to internal data representations of a database system as well as functional processing changes that leverage normalized internal data representations for a high density of independently executable CPU instructions. Because most data in a database is small, a majority of data can be represented by the normalized format. Thus, the data normalization system allows for fast superscalar processing in a database system in a variety of common cases, while maintaining compatibility with existing data sets.

Abstract: Systems and methods that incorporate fuzzing capabilities within an SQL server to facilitate penetration testing. A fuzzing component associated with the SQL server provides an entry point for accessing the fuzzing system to update explicit user specified parameters associated with SQL, wherein the server's in depth knowledge regarding semantics of the language code (e.g., manner of parsing) can be employed to determine vulnerabilities thereof.

Abstract: Systems and methods that generate specialized plans for compiling SQL queries. A plan generator component scans the query representation for parameter sensitive predicates and evaluates each predicate individually based on the parameter values. Accordingly, queries can be identified not only based on their structures, but also based on their parameter conditions. The specialized plans are more efficient for particular values, wherein queries that employ such values are optimally executed.

Abstract: Described is a technology by which an expression in a database engine is executed against stacks of data. Each instruction of the expression is evaluated against the data stacks until completed against each data stack, such as by iterating to execute an instruction through the data stacks before executing the next instruction. The data may be arranged in the data stacks (in memory) in various ways, such as to have each data stack contain the data of one database row, (e.g., with the data stack elements comprising column data. Data may be grouped, such as to put the data from different rows into the same data stack.

Abstract: A system and method for creation, modification and/or use of plan guide(s) is provided. Plan guide(s) can be employed to optimize the performance of query(ies) when it is not possible and/or desirable to change the text of the query directly. Plan guides can be useful, for example, when a small subset of queries in a database application deployed from a third-party vendor is not performing as expected. Plan guides influence optimization of queries by attaching query hints to them. In accordance with an aspect of the subject invention, a query plan execution system is provided. The system includes an execution component, a query optimizer, and, a plan cache. Plan guides and other associated metadata are stored in a plan guide metadata store.

Abstract: Systems and methods that generate specialized plans for compiling SQL queries. A plan generator component scans the query representation for parameter sensitive predicates and evaluates each predicate individually based on the parameter values. Accordingly, queries can be identified not only based on their structures, but also based on their parameter conditions. The specialized plans are more efficient for particular values, wherein queries that employ such values are optimally executed.

Abstract: Systems and methods that incorporate fuzzing capabilities within an SQL server to facilitate penetration testing. A fuzzing component associated with the SQL server provides an entry point for accessing the fuzzing system to update explicit user specified parameters associated with SQL, wherein the server's in depth knowledge regarding semantics of the language code (e.g., manner of parsing) can be employed to determine vulnerabilities thereof.

Abstract: A system and method for creation, modification and/or use of plan guide(s) is provided. Plan guide(s) can be employed to optimize the performance of query(ies) when it is not possible and/or desirable to change the text of the query directly. Plan guides can be useful, for example, when a small subset of queries in a database application deployed from a third-party vendor is not performing as expected. Plan guides influence optimization of queries by attaching query hints to them. In accordance with an aspect of the subject invention, a query plan execution system is provided. The system includes an execution component, a query optimizer, and, a plan cache. Plan guides and other associated metadata are stored in a plan guide metadata store.

Abstract: Various embodiments of the present invention enable functions, procedures, and triggers to be written in any of the .NET languages and executed by the RDBMS. User code can access data from the local or other SQL servers using the SQL Programming Model and both the SqlServer or SqlClient implementations respectively. Moreover, to improve upon the previous extensibility mechanism, a set of APIs (commonly known as “the in-process provider” or “inproc provider”) is utilized to provide efficient and easy to use data access while running inproc, a data access API that is an implementation of the ADO.net programming model.