- Yugabyte
- Preface
- 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
- 2. Sorting Query Results
- 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, 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 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
- 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 the Benford’s Law
- 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
- 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
- 9.14. Summing Up
- 10. Working with Ranges
- 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
- 13. Hierarchical Queries
- 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
- Window Function Refresher
- Appedix B: Common Table Expressions
- Index
About the Authors
Anthony Molinaro is a data scientist at Johnson & Johnson. In his current role he is a manager in the Observational Health Data Analytics group within Janssen R&D. His primary areas of research are nonparametric methods, time series analysis, and large scale database characterization and transformation. He is a member of the open science OHDSI community. Anthony holds a BA in Mathematics and a MA in Applied Mathematics & Statistics from CUNY Hunter College. He resides in NY with his wife Georgia and his two daughters, Kiki and Connie.
Robert de Graaf graduated as an Engineer, and worked in the Manufacturing industry after completing studies. While working as an Engineer, Robert discovered the power of statistics for solving real world problems, and completed a Master’s in Statistics in time to benefit from the Data Science boom. He has worked for RightShip as their Senior Data Scientist since 2013, and is the author of Managing Your Data Science Projects.
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