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SQL Cookbook

Query Solutions and Techniques for All SQL Users

Paperback Engels 2020 9781492077442
Verkooppositie 4729
Nog niet verschenen, verschijningsdatum onbekend


You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in severalflavors of SQL, including Oracle, DB2, SQL Server, MySQL, andPostgreSQL.

SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues. No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL.

The second edition includes:
- Fully revised recipes that recognize the greater adoption of window functions in SQL implementations
- Additional recipes that reflect the widespread adoption of common table expressions (CTEs) for more readable, easier-to-implement solutions
- New recipes to make SQL more useful for people who aren’t database experts, including data scientists
- Expanded solutions for working with numbers and strings
- Up-to-date SQL recipes throughout the book to guide you through the basics


Aantal pagina's:549
Hoofdrubriek:IT-management / ICT


Who This Book Is For
What’s Missing from This Book
Platform and Version
Tables Used in This Book
Conventions Used in This Book
O’Reilly Online Learning
How to Contact Us
Second Edition Acknowledgments
First Edition Acknowledgments

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
1.14. Summing Up

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
2.7. Summing Up

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
3.13. Summing Up

4. Inserting, Updating, and 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
4.18. Summing Up

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
5.8. Summing Up

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 Multivalued 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
6.16. Comparing Strings by Sound
6.17. Finding Text Not Matching a Pattern
6.18. Summing Up

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. Smoothing a Series of Values
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
7.16. Finding Outliers Using the Median Absolute Deviation
7.17. Finding Anomalies Using Benford’s Law
7.18. Summing Up

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
8.8. Summing Up

9. Date Manipulation
9.1. Determining Whether 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 Days 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 Occurrences 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
9.14. Summing Up

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
10.6. Summing Up

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
11.13. Summing Up

12. Reporting and Reshaping
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
12.21. Summing Up

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
13.6. Summing Up

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. Testing for Existence of a Value Within a Group
14.14. Summing Up

Window Function Refresher
Common Table Expressions
Common Table Expressions
Summing Up

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