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Transact-SQL cookbook /
This unique cookbook contains a wealth of solutions to problems that SQL programmers face all the time. The recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Authors Ales Spetic and Jonathan Ge...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, Calif. ; Farnham :
O'Reilly,
2002.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Špetič, Aleš. | |
| 245 | 1 | 0 | |a Transact-SQL cookbook / |c by Aleš Špetič and Jonathan Gennick. |
| 260 | |a Sebastopol, Calif. ; |a Farnham : |b O'Reilly, |c 2002. | ||
| 300 | |a 1 online resource (xviii, 282 pages) : |b illustrations | ||
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| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a This unique cookbook contains a wealth of solutions to problems that SQL programmers face all the time. The recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Authors Ales Spetic and Jonathan Gennick, two authorities with extensive database and SQL programming experience, include a discussion with each recipe to explain the logic and concepts underlying the solution. SQL (Structured Query Language) is the closest thing to a standard query language that currently exists, and Transact-SQL -- a full-featured programming language that dramatically extends the power of SQL -- is the procedural language of choice for both Microsoft SQL Server and Sybase SQL Server systems. The Transact-SQL Cookbook is designed so you can use the recipes directly, as a source of ideas, or as a way to learn a little more about SQL and what you can do with it. Topics covered include:<li type="disc">Audit logging. In addition to recipes for implementing an audit log, this chapter also includes recipes for: improving performance where large log tables are involved; supporting multiple-languages; and simulating server push.<li type="disc">Hierarchies. Recipes show you how to manipulate hierarchical data using Transact-SQL.<li type="disc">Importing data. This chapter introduces concepts like normalization and recipes useful for working with imported data tables.<li type="disc">Sets. Recipes demonstrate different operations, such as how to find common elements, summarize the data in a set, and find the element in a set that represents an extreme.<li type="disc">Statistics. This chapter?s recipes show you how to effectively use SQL for common statistical operations from means and standard deviations to weighted moving averages.<li type="disc">Temporal data. Recipes demonstrate how to construct queries against time-based data.<li type="disc">Data Structures. This chapter shows how to manipulate data structures like stacks, queues, matrices, and arrays. With an abundance of recipes to help you get your job done more efficiently, the Transact-SQL Cookbook is sure to become an essential part of your library | ||
| 505 | 0 | |a Transact-SQL Cookbook; Audience for This Book; Which Platform and Version?; Structure of This Book; Conventions Used in This Book; About the Code; Comments and Questions; Acknowledgments; From Jonathan; 1. Pivot Tables; 1.1.2. Solution; 1.1.3. Discussion; 2. Sets; 2.1.1.2. Elements; 2.1.1.3. Universes; 2.1.2. Set Operations; 2.1.2.2. Intersection; 2.1.2.3. Union; 2.1.2.4. Complement; 2.1.2.5. Difference; 2.2. The Students Example; 2.3. Implementing Set Difference; 2.3.2. Solution; 2.3.2.2. Subtracting one set from all others; 2.3.3. Discussion; 2.3.3.2. Subtracting one set from all others | |
| 505 | 8 | |a 2.3.3.3. Subtracting other sets from one2.4. Comparing Two Sets for Equality; 2.4.2. Solution; 2.4.3. Discussion; 2.5. Implementing Partial Intersection; 2.5.2. Solution; 2.5.3. Discussion; 2.6. Implementing Full Intersection; 2.6.2. Solution; 2.6.3. Discussion; 2.7. Classifying Subsets; 2.7.2. Solution; 2.7.3. Discussion; 2.8. Summarizing Classes of Sets; 2.8.2. Solution; 2.8.3. Discussion; 2.9. Aggregating Aggregates; 2.9.2. Solution; 2.9.3. Discussion; 2.10. Summarizing Aggregated Classes; 2.10.2. Solution; 2.10.3. Discussion; 2.11. Including Nonaggregated Columns; 2.11.2. Solution | |
| 505 | 8 | |a 2.11.3. Discussion2.12. Finding the Top N Values in a Set; 2.12.2. Solution; 2.12.3. Discussion; 2.12.3.2. Using a self-join; 2.13. Reporting the Size of a Set & s Complement; 2.13.2. Solution; 2.13.3. Discussion; 2.14. Finding the Complement of a Set; 2.14.2. Solution; 2.14.2.2. Step 2: Run the query; 2.14.3. Discussion; 2.15. Finding the Complement of a Missing Set; 2.15.2. Solution; 2.15.2.2. Solution 2: Create a student master table; 2.15.3. Discussion; 2.16. Finding Complements of Sets with Different Universes; 2.16.2. Solution; 2.16.3. Discussion; 2.17. Comparing a Set with Its Universe | |
| 505 | 8 | |a 2.17.2. Solution2.17.3. Discussion; 2.18. Dynamic Classification System; 2.18.2. Solution; 2.18.2.2. Step 2: Running the query; 2.18.3. Discussion; 3. Data Structures; 3.1.1.2. Regions; 3.1.1.3. Runs; 3.1.1.4. Sequences; 3.1.2. Stacks and Queues; 3.1.2.2. Queues; 3.1.2.3. Priority queues; 3.1.3. Arrays and Matrices; 3.1.3.2. Matrices; 3.2. Working Example; 3.2.2. Arrays; 3.2.3. Matrices; 3.3. Finding Regions; 3.3.2. Solution; 3.3.3. Discussion; 3.4. Reporting Region Boundaries; 3.4.2. Solution; 3.4.3. Discussion; 3.5. Limiting Region Size; 3.5.2. Solution; 3.5.3. Discussion | |
| 505 | 8 | |a 3.6. Ranking Regions by Size3.6.2. Solution; 3.6.3. Discussion; 3.7. Working with Sequences; 3.7.2. Solution; 3.7.3. Discussion; 3.8. Working with Runs; 3.8.2. Solutions; 3.8.3. Discussion; 3.9. Cumulative Aggregates in Lists; 3.9.2. Solution; 3.9.3. Discussion; 3.10. Implementing a Stack; 3.10.2. Solution; 3.10.2.2. POP function in SQL; 3.10.2.3. PUSH function in SQL; 3.10.3. Discussion; 3.11. Implementing Queues; 3.11.2. Solution; 3.11.2.2. DEQUEUE function in SQL; 3.11.2.3. ENQUEUE function in SQL; 3.11.3. Discussion; 3.12. Implementing Priority Queues; 3.12.2. Solution | |
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