SQL Cookbook

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Overview

You know the rudiments of the SQL query language, yet you feel you aren't taking full advantage of SQL's expressive power. You'd like to learn how to do more work with SQL inside the database before pushing data across the network to your applications. You'd like to take your SQL skills to the next level.

Let's face it, SQL is a deceptively simple language to learn, and many database developers never go far beyond the simple statement: SELECT columns FROM table WHERE conditions....

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SQL Cookbook

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Overview

You know the rudiments of the SQL query language, yet you feel you aren't taking full advantage of SQL's expressive power. You'd like to learn how to do more work with SQL inside the database before pushing data across the network to your applications. You'd like to take your SQL skills to the next level.

Let's face it, SQL is a deceptively simple language to learn, and many database developers never go far beyond the simple statement: SELECT columns FROM table WHERE conditions. But there is so much more you can do with the language. In the SQL Cookbook, experienced SQL developer Anthony Molinaro shares his favorite SQL techniques and features. You'll learn about:

  • Window functions, arguably the most significant enhancement to SQL in the past decade. If you're not using these, you're missing out
  • Powerful, database-specific features such as SQL Server's PIVOT and UNPIVOT operators, Oracle's MODEL clause, and PostgreSQL's very useful GENERATE_SERIES function
  • Pivoting rows into columns, reverse-pivoting columns into rows, using pivoting to facilitate inter-row calculations, and double-pivoting a result set
  • Bucketization, and why you should never use that term in Brooklyn.
  • How to create histograms, summarize data into buckets, perform aggregations over a moving range of values, generate running-totals and subtotals, and other advanced, data warehousing techniques
  • The technique of walking a string, which allows you to use SQL to parse through the characters, words, or delimited elements of a string

Written in O'Reilly's popular Problem/Solution/Discussion style, the SQL Cookbook is sure to please. Anthony's credo is: "When it comes down to it, we all go to work, we all have bills to pay, and we all want to go home at a reasonable time and enjoy what's still available of our days." The SQL Cookbook moves quickly from problem to solution, saving you time each step of the way.

For anyone writing SQL in a professional environment, this book presents a compendium of solutions that readers can immediately apply to commonly-faced, real-world data query and manipulation problems.

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Editorial Reviews

From Barnes & Noble
The Barnes & Noble Review
You need a quick SQL query. Not a lecture. You need SQL Cookbook. There are 160-plus reliable, easy-to-adapt recipes here, for everything from simple record retrieval to data warehousing. Each one’s presented and explained as simply and concisely as humanly possible. And (except for one “bonus” chapter) everything’s cross-platform: tested for DB2 v. 8, Oracle 10g, PostgreSQL 8, SQL Server 2005, and MySQL 5.

Want to sort results by substrings? Combine related rows from multiple tables? Insert a new record? Copy a table definition? List tables in a schema? Extract initials from a name? Parse an IP address? Compute a running total? Determine next year’s quarter start/end dates? Fill in missing values in a range? Rank your results? Pivot result sets into a single row? Build hierarchical queries? Don’t waste time figuring it out from scratch: It’s all right here. Bill Camarda, from the February 2006 Read Only

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Product Details

  • ISBN-13: 9780596009762
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 12/23/2005
  • Series: Cookbooks (O'Reilly) Series
  • Edition number: 1
  • Pages: 636
  • Sales rank: 204,056
  • Product dimensions: 9.10 (w) x 10.98 (h) x 1.11 (d)

Meet the Author

Anthony Molinaro is a SQL developer and database administrator with many years experience in helping developers improve their SQL queries. SQL is particular passion of Anthony's, and he's become known as the go-to guy among his clients when it comes to solving difficult SQL query problems. He's well-read, understands relational theory well, and has nine years of hands-on experience solving tough, SQL problems. Anthony is particularly well-acquainted with new and powerful SQL features such as the windowing function syntax that was added to the most recent SQL standard.

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Table of Contents

Dedication;
Preface;
Why I Wrote This Book;
Objectives of This Book;
Audience for This Book;
How to Use This Book;
What's Missing from This Book;
Structure of This Book;
Platform and Version;
Tables Used in This Book;
Conventions Used in This Book;
Using Code Examples;
Comments and Questions;
Safari® Enabled;
Acknowledgments;
Chapter 1: Retrieving Records;
1.1 Retrieving All Rows and Columns from a Table;
1.2 Retrieving a Subset of Rows from a Table;
1.3 Finding Rows That Satisfy Multiple Conditions;
1.4 Retrieving a Subset of Columns from a Table;
1.5 Providing Meaningful Names for Columns;
1.6 Referencing an Aliased Column in the WHERE Clause;
1.7 Concatenating Column Values;
1.8 Using Conditional Logic in a SELECT Statement;
1.9 Limiting the Number of Rows Returned;
1.10 Returning n Random Records from a Table;
1.11 Finding Null Values;
1.12 Transforming Nulls into Real Values;
1.13 Searching for Patterns;
Chapter 2: Sorting Query Results;
2.1 Returning Query Results in a Specified Order;
2.2 Sorting by Multiple Fields;
2.3 Sorting by Substrings;
2.4 Sorting Mixed Alphanumeric Data;
2.5 Dealing with Nulls when Sorting;
2.6 Sorting on a Data Dependent Key;
Chapter 3: Working with Multiple Tables;
3.1 Stacking One Rowset atop Another;
3.2 Combining Related Rows;
3.3 Finding Rows in Common Between Two Tables;
3.4 Retrieving Values from One Table That Do Not Exist in Another;
3.5 Retrieving Rows from One Table That Do Not Correspond to Rows in Another;
3.6 Adding Joins to a Query Without Interfering with Other Joins;
3.7 Determining Whether Two Tables Have the Same Data;
3.8 Identifying and Avoiding Cartesian Products;
3.9 Performing Joins when Using Aggregates;
3.10 Performing Outer Joins when Using Aggregates;
3.11 Returning Missing Data from Multiple Tables;
3.12 Using NULLs in Operations and Comparisons;
Chapter 4: Inserting, Updating, Deleting;
4.1 Inserting a New Record;
4.2 Inserting Default Values;
4.3 Overriding a Default Value with NULL;
4.4 Copying Rows from One Table into Another;
4.5 Copying a Table Definition;
4.6 Inserting into Multiple Tables at Once;
4.7 Blocking Inserts to Certain Columns;
4.8 Modifying Records in a Table;
4.9 Updating when Corresponding Rows Exist;
4.10 Updating with Values from Another Table;
4.11 Merging Records;
4.12 Deleting All Records from a Table;
4.13 Deleting Specific Records;
4.14 Deleting a Single Record;
4.15 Deleting Referential Integrity Violations;
4.16 Deleting Duplicate Records;
4.17 Deleting Records Referenced from Another Table;
Chapter 5: Metadata Queries;
5.1 Listing Tables in a Schema;
5.2 Listing a Table's Columns;
5.3 Listing Indexed Columns for a Table;
5.4 Listing Constraints on a Table;
5.5 Listing Foreign Keys Without Corresponding Indexes;
5.6 Using SQL to Generate SQL;
5.7 Describing the Data Dictionary Views in an Oracle Database;
Chapter 6: Working with Strings;
6.1 Walking a String;
6.2 Embedding Quotes Within String Literals;
6.3 Counting the Occurrences of a Character in a String;
6.4 Removing Unwanted Characters from a String;
6.5 Separating Numeric and Character Data;
6.6 Determining Whether a String Is Alphanumeric;
6.7 Extracting Initials from a Name;
6.8 Ordering by Parts of a String;
6.9 Ordering by a Number in a String;
6.10 Creating a Delimited List from Table Rows;
6.11 Converting Delimited Data into a Multi-Valued IN-List;
6.12 Alphabetizing a String;
6.13 Identifying Strings That Can Be Treated as Numbers;
6.14 Extracting the nth Delimited Substring;
6.15 Parsing an IP Address;
Chapter 7: Working with Numbers;
7.1 Computing an Average;
7.2 Finding the Min/Max Value in a Column;
7.3 Summing the Values in a Column;
7.4 Counting Rows in a Table;
7.5 Counting Values in a Column;
7.6 Generating a Running Total;
7.7 Generating a Running Product;
7.8 Calculating a Running Difference;
7.9 Calculating a Mode;
7.10 Calculating a Median;
7.11 Determining the Percentage of a Total;
7.12 Aggregating Nullable Columns;
7.13 Computing Averages Without High and Low Values;
7.14 Converting Alphanumeric Strings into Numbers;
7.15 Changing Values in a Running Total;
Chapter 8: Date Arithmetic;
8.1 Adding and Subtracting Days, Months, and Years;
8.2 Determining the Number of Days Between Two Dates;
8.3 Determining the Number of Business Days Between Two Dates;
8.4 Determining the Number of Months or Years Between Two Dates;
8.5 Determining the Number of Seconds, Minutes, or Hours Between Two Dates;
8.6 Counting the Occurrences of Weekdays in a Year;
8.7 Determining the Date Difference Between the Current Record and the Next Record;
Chapter 9: Date Manipulation;
9.1 Determining if a Year Is a Leap Year;
9.2 Determining the Number of Days in a Year;
9.3 Extracting Units of Time from a Date;
9.4 Determining the First and Last Day of a Month;
9.5 Determining All Dates for a Particular Weekday Throughout a Year;
9.6 Determining the Date of the First and Last Occurrence of a Specific Weekday in a Month;
9.7 Creating a Calendar;
9.8 Listing Quarter Start and End Dates for the Year;
9.9 Determining Quarter Start and End Dates for a Given Quarter;
9.10 Filling in Missing Dates;
9.11 Searching on Specific Units of Time;
9.12 Comparing Records Using Specific Parts of a Date;
9.13 Identifying Overlapping Date Ranges;
Chapter 10: Working with Ranges;
10.1 Locating a Range of Consecutive Values;
10.2 Finding Differences Between Rows in the Same Group or Partition;
10.3 Locating the Beginning and End of a Range of Consecutive Values;
10.4 Filling in Missing Values in a Range of Values;
10.5 Generating Consecutive Numeric Values;
Chapter 11: Advanced Searching;
11.1 Paginating Through a Result Set;
11.2 Skipping n Rows from a Table;
11.3 Incorporating OR Logic when Using Outer Joins;
11.4 Determining Which Rows Are Reciprocals;
11.5 Selecting the Top n Records;
11.6 Finding Records with the Highest and Lowest Values;
11.7 Investigating Future Rows;
11.8 Shifting Row Values;
11.9 Ranking Results;
11.10 Suppressing Duplicates;
11.11 Finding Knight Values;
11.12 Generating Simple Forecasts;
Chapter 12: Reporting and Warehousing;
12.1 Pivoting a Result Set into One Row;
12.2 Pivoting a Result Set into Multiple Rows;
12.3 Reverse Pivoting a Result Set;
12.4 Reverse Pivoting a Result Set into One Column;
12.5 Suppressing Repeating Values from a Result Set;
12.6 Pivoting a Result Set to Facilitate Inter-Row Calculations;
12.7 Creating Buckets of Data, of a Fixed Size;
12.8 Creating a Predefined Number of Buckets;
12.9 Creating Horizontal Histograms;
12.10 Creating Vertical Histograms;
12.11 Returning Non-GROUP BY Columns;
12.12 Calculating Simple Subtotals;
12.13 Calculating Subtotals for All Possible Expression Combinations;
12.14 Identifying Rows That Are Not Subtotals;
12.15 Using Case Expressions to Flag Rows;
12.16 Creating a Sparse Matrix;
12.17 Grouping Rows by Units of Time;
12.18 Performing Aggregations over Different Groups/Partitions Simultaneously;
12.19 Performing Aggregations over a Moving Range of Values;
12.20 Pivoting a Result Set with Subtotals;
Chapter 13: Hierarchical Queries;
13.1 Expressing a Parent-Child Relationship;
13.2 Expressing a Child-Parent-Grandparent Relationship;
13.3 Creating a Hierarchical View of a Table;
13.4 Finding All Child Rows for a Given Parent Row;
13.5 Determining Which Rows Are Leaf, Branch, or Root Nodes;
Chapter 14: Odds 'n' Ends;
14.1 Creating Cross-Tab Reports Using SQL Server's PIVOT Operator;
14.2 Unpivoting a Cross-Tab Report Using SQL Server's UNPIVOT Operator;
14.3 Transposing a Result Set Using Oracle's MODEL Clause;
14.4 Extracting Elements of a String from Unfixed Locations;
14.5 Finding the Number of Days in a Year (an Alternate Solution for Oracle);
14.6 Searching for Mixed Alphanumeric Strings;
14.7 Converting Whole Numbers to Binary Using Oracle;
14.8 Pivoting a Ranked Result Set;
14.9 Adding a Column Header into a Double Pivoted Result Set;
14.10 Converting a Scalar Subquery to a Composite Subquery in Oracle;
14.11 Parsing Serialized Data into Rows;
14.12 Calculating Percent Relative to Total;
14.13 Creating CSV Output from Oracle;
14.14 Finding Text Not Matching a Pattern (Oracle);
14.15 Transforming Data with an Inline View;
14.16 Testing for Existence of a Value Within a Group;
Appendix A: Window Function Refresher;
A.1 Grouping;
A.2 Windowing;
Appendix B: Rozenshtein Revisited;
B.1 Rozenshtein's Example Tables;
B.2 Answering Questions Involving Negation;
B.3 Answering Questions Involving "at Most";
B.4 Answering Questions Involving "at Least";
B.5 Answering Questions Involving "Exactly";
B.6 Answering Questions Involving "Any" or "All";
Colophon;

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  • Anonymous

    Posted July 16, 2006

    'COOKING WITH SQL'

    Are you an SQL novice, journeyman, expert or a non-SQL programmer? If you are, then this book is for you! Author Anthony Molinaro, has done an outstanding job of writing a practical book that gives you the reader, a glimpse of what can be done using SQL outside of what is considered the typical SQL problem domain.. Molinaro, begins by introducing very simple queries. Then, the author introduces recipes for sorting query results. Next, he introduces recipes for combining data from multiple tables. The author then introduces recipes for inserting, updating, and deleting data, respectively. He continues by introducing recipes for getting at your database metadata. Then, the author introduces recipes for manipulating strings. Next, he introduces recipes for common number crunching. He also deals with data arithmetic. The author continues by showing you recipes for some of the most common date operations you will encounter in a typical work day. Then, he introduces recipes for identifying values in ranges, and for creating ranges of values. Next, the author introduces recipes that are crucial for everyday development and yet sometimes slip through the cracks. He also introduces queries typically used in warehousing or generating complex reports. The author continues by introducing you to hierarchical recipes. Finally, the author focuses on vendor-specific solutions. In this most excellent cookbook, you will find a collection of common SQL problems and their solutions that you'll find helpful in your day-to-day work. More importantly, this cookbook will help you take your SQL skills to the next level.

    3 out of 3 people found this review helpful.

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