Oracle International Corporation

Bastian Hossbach

Hassan Chafi

Laurent Daynes

Matthias Brantner

Pit Fender

Benjamin Schlegel

Alexander Ulrich

Eric Sedlar

Harshad Kasture

Anantha Kiran Kandukuri

Christian Humer

Lucas Braun

Jürgen Christ

Juergen Christ

The present invention relates to execution optimization of database queries. Herein are techniques for optimal execution based on query interpretation by translation to a domain specific language (DSL), with optimizations such as partial evaluation, abstract syntax tree (AST) rewriting, just in time (JIT) compilation, dynamic profiling, speculative logic, and Futamura projection. In an embodiment, a database management system (DBMS) that is hosted on a computer generates a query tree that represents a database query that contains an expression that is represented by a subtree of the query tree. The DBMS generates a sequence of DSL instructions that represents the subtree. The sequence of DSL instructions is executed to evaluate the expression during execution of the database query. In an embodiment, an AST is generated from the sequence of DSL instructions. In an embodiment, the DSL AST is optimally rewritten based on a runtime feedback loop that includes dynamic profiling information.

First Futamura projection in the context of SQL expression evaluation

First futamura projection in the context of SQL expression evaluation

Herein are computerized techniques for deploying JavaScript and TypeScript stored procedures and user-defined functions into a database management system (DBMS). In an embodiment, a computer generates a SQL call specification for each subroutine of one or more subroutines encoded in a scripting language. The generating is based on a signature declaration of the subroutine. Each subroutine comprises a definition of a stored procedure or a user-defined function. The computer packages the definition and the SQL call specification of each subroutine into a single bundle file. The definition and the SQL call specification of each subroutine are deployed into a DBMS from the single bundle file. Eventually, the SQL call specification of at least one subroutine is invoked to execute the definition of the subroutine in the DBMS.

Deployment of javascript and typescript stored procedures and user-defined functions into database management systems

Computer-implemented techniques described herein provide efficient data decoding using runtime specialization. In an embodiment, a method comprises a virtual machine executing a body of code of a dynamically typed language, wherein executing the body of code includes: querying a relational database, and in response to the query, receiving table metadata indicating data types of one or more columns of a first table in the relational database. In response to receiving the table metadata: for a first column of the one or more columns, generating decoding machine code to decode the first column based on the data type of the first column, and executing the decoding machine code to decode the first column of the one or more columns.

Efficient data decoding using runtime specialization

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Thalwil, Switzerland

Bastian Hossbach