Grammar-like functional rules for representing query optimization alternatives
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Parallel database systems: the future of high performance database systems
Communications of the ACM
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
Predicate migration: optimizing queries with expensive predicates
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Parallel database systems: open problems and new issues
Distributed and Parallel Databases - Special issue: Research topics in distributed and parallel databases
Adaptive parallel aggregation algorithms
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A Teradata content-based multimedia object manager for massively parallel architectures
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Query execution techniques for caching expensive methods
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
The BUCKY object-relational benchmark
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Building a scaleable geo-spatial DBMS: technology, implementation, and evaluation
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Object-relational database systems (tutorial): principles, products and challenges
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Object Relational DBMSs: The Next Great Wave
Object Relational DBMSs: The Next Great Wave
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Starburst Mid-Flight: As the Dust Clears
IEEE Transactions on Knowledge and Data Engineering
Inclusion of New Types in Relational Data Base Systems
Proceedings of the Second International Conference on Data Engineering
Optimizing Queries Across Diverse Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Groupwise Processing of Relational Queries
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
The Case for Enhanced Abstract Data Types
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Integrating SQL Databases with Content-Specific Search Engines
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Generalized Search Trees for Database Systems
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Eager Aggregation and Lazy Aggregation
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Optimization of Queries with User-defined Predicates
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Of Objects and Databases: A Decade of Turmoil
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
EROC: A Toolkit for Building NEATO Query Optimizers
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Query processing and optimization in Oracle Rdb
The VLDB Journal — The International Journal on Very Large Data Bases
An extension of SQL to support ordered domains in relational databases
IDEAS '97 Proceedings of the 1997 International Symposium on Database Engineering & Applications
Implementing the spirit of SQL-99
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Proceedings of the eighth international conference on Information and knowledge management
TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
User-Defined Table Operators: Enhancing Extensibility for ORDBMS
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Handbook of massive data sets
Parallelizing User-Defined Functions in Distributed Object-Relational DBMS
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
Embedded predictive modeling in a parallel relational database
Proceedings of the 2006 ACM symposium on Applied computing
Building statistical models and scoring with UDFs
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A grid-based approach for enterprise-scale data mining
Future Generation Computer Systems - Special section: Data mining in grid computing environments
A grid-based approach for enterprise-scale data mining
Future Generation Computer Systems - Special section: Data mining in grid computing environments
PIVOT and UNPIVOT: optimization and execution strategies in an RDBMS
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Proceedings of the VLDB Endowment
New concepts for parallel object-relational query processing
New concepts for parallel object-relational query processing
ParaLite: Supporting Collective Queries in Database System to Parallelize User-Defined Executable
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
| Hi-index | 0.00 |
Nowadays parallel object-relational DBMS are envisioned as the next great wave, but there is still a lack of efficient implementation concepts for some parts of the proposed functionality. Thus one of the current goals for parallel object-relational DBMS is to move towards higher performance. In this paper we develop a framework that allows to process user-defined functions with data parallelism. We will describe the class of partitionable functions that can be processed parallelly. We will also propose an extension which allows to speed up the processing of another large class of functions by means of parallel sorting. Functions that can be processed by means of our techniques are often used in decision support queries on large data volumes, for example. Hence a parallel execution is indispensable.