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SQL Cookbook. 2nd Edition - Helion

SQL Cookbook. 2nd Edition
ebook
Autor: Anthony Molinaro, Robert de Graaf
ISBN: 9781492077398
stron: 572, Format: ebook
Data wydania: 2020-11-03
Księgarnia: Helion

Cena książki: 186,15 zł (poprzednio: 216,45 zł)
Oszczędzasz: 14% (-30,30 zł)

Dodaj do koszyka SQL Cookbook. 2nd Edition

Osoby, które kupiÅ‚y tÄ™ książkÄ™, wybieraÅ‚y także »
Tagi: SQL - Programowanie

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

Dodaj do koszyka SQL Cookbook. 2nd Edition

 

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Dodaj do koszyka SQL Cookbook. 2nd Edition

Spis treści

SQL Cookbook. 2nd Edition eBook -- spis treści

  • Preface
    • Who This Book Is For
    • Whats Missing from This Book
    • Platform and Version
    • Tables Used in This Book
    • Conventions Used in This Book
    • OReilly 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 Tables 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 Benfords 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 Servers PIVOT Operator
    • 14.2. Unpivoting a Cross-Tab Report Using SQL Servers UNPIVOT Operator
    • 14.3. Transposing a Result Set Using Oracles 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
  • A. Window Function Refresher
    • Grouping
    • Windowing
  • B. Common Table Expressions
    • Subqueries
    • Common Table Expressions
    • Summing Up
  • Index

Dodaj do koszyka SQL Cookbook. 2nd Edition

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