Practical Oracle SQL:Mastering the Full Power of Oracle Database

Practical Oracle SQL:Mastering the Full Power of Oracle Database
by:Kim Berg Hansen
pages 页数:460 pages
Publisher Finelybook 出版社:Apress; 1st ed. edition (February 20, 2020)
Language 语言:English
ISBN-10 书号:1484256166
ISBN-13 书号:9781484256169

Book Description
Write powerful queries using as much of the feature-rich Oracle SQL language as possible, progressing beyond the simple queries of basic SQL as standardized in SQL-92.
Both standard SQL and Oracle’s own extensions to the language have progressed far over the decades in terms of how much you can work with your data in a single, albeit sometimes complex, SQL statement. If you already know the basics of SQL, this book provides many examples of how to write even more advanced SQL to huge benefit in your applications, such as:

Pivoting rows to columns and columns to rows
Recursion in SQL with MODEL and WITH clauses
Answering Top-N questions
Forecasting with linear regressions
Row pattern matching to group or distribute rows
Using MATCH_RECOGNIZE as a row processing engine
The process of starting from simpler statements in SQL, and gradually working those statements stepwise into more complex statements that deliver powerful results, is covered in each example. By trying out the recipes and examples for yourself, you will put together the building blocks into powerful SQL statements that will make your application run circles around your competitors.
What You Will Learn

Take full advantage of advanced and modern features in Oracle SQL
Recognize when modern SQL constructs can help create better applications
Improve SQL query building skills through stepwise refinement
Apply set-based thinking to process more data in fewer queries
Make cross-row calculations with analytic functions
Search for patterns across multiple rows using row pattern matching
Break complex calculations into smaller steps with subquery factoring

Part l. Core SQL
1. Correlating Inline Views
2. Pitfalls of Set Operations
3. Divide and Conquer with Subquery Factoring
4. Tree Calculations with Recursion
5. Functions Defined Within SQL
6. Iterative Calculations with Multidimensional Data
7. Unpivoting Columns to Rows
8. Pivoting Rows to Columns
9. Splitting Delimited Text
10. Creating Delimited Text
Part ll. Analytic Functions
11. Analytic Partitions, Ordering, and Windows
12. Answering Top-N Questions
13. Ordered Subsets with Rolling Sums
14. Analyzing Activity Logs with Lead
15. Forecasting with Linear Regression
16. Rolling Sums to Forecast Reaching Minimums
Part ll. Row Pattern Matching
17. Up-and-Down Patterns
18. Grouping Data Through Patterns
19. Merging Date Ranges
20. Finding Abnormal Peaks
21. Bin Fitting
22. Counting Children in Trees

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