Accessing electronic databases
作者： Chen Qiming , Lefevre Jeffrey , Hsu Meichun , Liu Rui , Castellanos Maria
DOI:
关键词: Electronic data 、 Database 、 Projection (relational algebra) 、 Computation 、 Node (computer science) 、 Database query 、 Task (computing) 、 Computer science
摘要: Examples disclosed herein relate to accessing electronic databases. Some examples may include partitioning a computation task into subtasks. A processing node of engine generate database query for retrieving an data segment associated with at least one the subtasks from database. The pre-processing instructions management system (DBMS) pre-process before providing node. of: filtering, projection, join, aggregation, count, and user-defined instructions. generated be provided DBMS.
lens.org 参考文章(8)
Patrick Aboyoun, Denis B. Mukhin, Vaishnavi Sashikanth, Overloading r language constructs with database engine constructs ,(2012)
Yu Xu, Olli Pekka Kostamaa, Techniques for accessing a parallel database system via external programs using vertical and/or horizontal partitioning ,(2014)
Mark F. Hornick, Denis B. Mukhin, Vaishnavi Sashikanth, Interfacing an R language client environment with a database engine ,(2012)
Nga Tran, Shilpa Lawande, Mitch Cherniack, Optimizing snowflake schema queries ,(2006)
Rajendran Appavu, Translation of a SPARQL query to a SQL query ,(2014)
Guogen Zhang, Le Cai, Jason Yang Sun, Data placement control for distributed computing environment ,(2015)
James Shau, Robert Wehrmeister, Xin Tang, Daniel S. Yu, IMPLEMENTING CONTRACT-BASED POLYMORPHIC AND PARALLELIZABLE SQL USER-DEFINED SCALAR AND AGGREGATE FUNCTIONS ,(2017)
Christopher Richard Jacques de Kadt, Allan Henry Vermeulen, Timothy Daniel Cole, Tate Andrew Certain, John Michael Morkel, Andrew Wayne Ross, Artem Danilov, Customer-requested partitioning of journal-based storage systems ,(2015)