Monument IP Law Group
Methods and systems for run-time scheduling database operations that are executed in hardware
Embodiments of the present invention provide a run-time scheduler that schedules tasks for database queries on one or more execution resources in a dataflow fashion. In some embodiments, the run-time scheduler may comprise a task manager, a memory manager, and hardware resource manager. When a query is received by a host database management system, a query plan is created for that query. The query plan splits a query into various fragments. These fragments are further compiled into a directed acyclic graph of tasks. Unlike conventional scheduling, the dependency arc in the directed acyclic graph is based on page resources. Tasks may comprise machine code that may be executed by hardware to perform portions of the query. These tasks may also be performed in software or relate to I/O.
Teradata US, Inc.
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Jim Hareesh Alan Ravi Jeremy Joseph I.
Crowley Boinepelli Beck Krishnamurthy Branscome Chamdani