'Unwanted fields' presentation slideshows

L05: Query Processing & Tuning Queries

L05: Query Processing & Tuning Queries. Query Processing -- Principles Tuning Queries. Query Processing & Optimization. Any high-level query (SQL) on a database must be processed, optimized and executed by the DBMS

845 views • 68 slides

Implementation of Relational Operations

Implementation of Relational Operations. CS186, Fall 2005 R&G - Chapter 14. First comes thought; then organization of that thought, into ideas and plans; then transformation of those plans into reality. The beginning, as you will observe, is in your imagination.

437 views • 34 slides

Evaluation of Relational Operations

Evaluation of Relational Operations. Relational Operations. We will consider how to implement: Selection ( ) Selects a subset of rows from relation. Projection ( ) Deletes unwanted columns from relation. Join ( ) Allows us to combine two relations.

378 views • 28 slides

Evaluation of Relational Operations: Other Techniques

230 views • 13 slides

Evaluation of Relational Operations: Other Techniques

145 views • 13 slides

CS222P: Principles of Data Management Notes #11 Selection, Projection

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CS222 /CS122C : Principles of Data Management UCI, Fall 2018 Notes # 10 Selection, Projection

146 views • 13 slides

Evaluation of Relational Operations: Other Techniques

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Implementation of other Relational Algebra Operators

244 views • 12 slides

Evaluation of Relational Operations: Non-Join Operations

Evaluation of Relational Operations: Non-Join Operations. Chapter 14, Part A. Using an Index for Selections. Cost depends on #qualifying tuples, and clustering. Cost of finding qualifying data entries (typically small) plus cost of retrieving records (could be large w/o clustering).

201 views • 12 slides

Evaluation of Relational Operations: Other Techniques

Evaluation of Relational Operations: Other Techniques. Chapter 14, Part B. Using an Index for Selections. Cost depends on #qualifying tuples, and clustering. Cost of finding qualifying data entries (typically small) plus cost of retrieving records (could be large w/o clustering).

190 views • 11 slides