On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 33.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 33.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 34.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 34.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 35.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 35.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

disk, such as indexed reads, are assumed to be in cache. The default value can be thought of as modeling random access as 40 times slower than sequential, while expecting 90% of random reads to be cached On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 38.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

disk, such as indexed reads, are assumed to be in cache. The default value can be thought of as modeling random access as 40 times slower than sequential, while expecting 90% of random reads to be cached On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 38.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

disk, such as indexed reads, are assumed to be in cache. The default value can be thought of as modeling random access as 40 times slower than sequential, while expecting 90% of random reads to be cached On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 39.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California

disk, such as indexed reads, are assumed to be in cache. The default value can be thought of as modeling random access as 40 times slower than sequential, while expecting 90% of random reads to be cached On Rules, Procedures, Caching and Views in Database Systems and A Unified Framework for Version Modeling Using Production Rules in a Database System. 37.1. The Query Tree To understand how the rule system California, UCB Engin T7.49.1993 O676, 1993. L. Ong and J. Goh, “A Unified Framework for Version Modeling Using Production Rules in a Database System”, ERL Technical Memorandum M90/33, University of California