
Teradata Details
For pricing and availability
Contact: Tom Coffing
Email: Tom.Coffing@CoffingDW.com
Phone: 513 300-0341
Teradata Architecture and SQL
Description: In this course, students will learn the Teradata architecture with an excellent level of detail. Students will also learn the clever tricks and tips that make Teradata unique. In addition, students will create all types of Teradata tables, views, macros, user-defined functions, and stored procedures, and learn how to performance tune Teradata tables and queries—over 600 examples of managing, creating tables, and Teradata SQL. The class is 90% hands-on training. The students will use the SQL_Class database with 18 tables representing the tables in the book.
Reference Guide: The book is an excellent book for teaching and makes for an excellent reference guide to help on the job.
Description: Students will learn the Teradata architecture and SQL starting at the most basic level and going to the most advanced level in this course.
Objectives: After this course, students will have detailed knowledge and understanding of the Teradata architecture, creating and managing tables and objects, utilizing indexes, performance tuning, and essential, intermediate, and advanced SQL hands-on training.
Audience: This course is for anyone who desires to learn the Teradata architecture and SQL, from beginners to experienced users.
Prerequisites: None
Duration: 4-Days
Topics:
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What is Parallel Processing?
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The Teradata Architecture
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The Primary Index
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How Hashing works
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Partitioned Tables
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Columnar Tables
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Secondary Indexes
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Perm, Spool, and Temp Space
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Blocks, Cylinders, and the Master Index
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Join Indexes
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Temporal Tables
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Collecting Statistics
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Native Object Stores
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Explain Plans
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Major Sort vs. Minor Sorts
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The Like Command Wildcards are Percent and Underscore
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Distinct, Group By, and TOP
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There are Five Aggregates
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Inner and Outer Joins
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Date and Time Functions
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Format Functions
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Analytics and Window Functions
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Temporary Tables
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Subqueries
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Strings
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Interrogating the Data
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Views
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Set Operators
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Creating Tables
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Data Manipulation Language (DML)
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User-Defined Functions (UDF)
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Stored Procedures
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Statistical Aggregate Functions
Teradata Architecture and SQL Course Outline
Chapter 1 - The Teradata Architecture
What is Parallel Processing?
The Teradata Architecture
The Basics of a Single Computer
Teradata Parallel Processes Data
Parallel Architecture
Teradata Architecture Components in Action
All Teradata Tables Distribute across ALL AMPS
Teradata Systems can Add AMPs for Linear Scalability
Understand that Teradata can scale to incredible size
AMPs and Parsing Engines (PEs) live inside SMP Nodes
Each Node attached via a Network to a Disk Farm
There are Many Nodes in a Teradata Cabinet
Two SMP Nodes Connected Become One MPP System
Inside a Teradata Node
The Parsing Engine
The AMPs Responsibilities
Teradata Architecture Visual
Chapter 2 – The Primary Index
You Define the Primary Index when you CREATE the table
A Unique Primary Index (UPI)
Primary Index in the WHERE Clause - Single-AMP Retrieve
Using EXPLAIN
A Non-Unique Primary Index (NUPI)
Primary Index in the WHERE Clause - Single-AMP Retrieve
Using EXPLAIN in a NUPI Query
A conceptual example of a Multi-Column Primary Index
Primary Index in the WHERE Clause - Single-AMP Retrieve
A conceptual example of a Table with NO PRIMARY INDEX
A Full Table Scan is likely on a table with NO Primary Index
An EXPLAIN that shows a Full Table Scan
Table CREATE Examples with four different Primary Indexes
What happens when you forget the Primary Index?
Why create a table with No Primary Index (NoPI)?
Chapter 3 – Hashing of the Primary Index
The Hashing Formula Facts
The Hash Map Determines which AMP will own the Row
The Hash Map Determines which AMP will own the Row
Placing rows on the AMP
Placing rows on the AMP Continued
A Review of the Hashing Process
Non-Unique Primary Indexes have Skewed Data
The Uniqueness Value
The Row Hash and Uniqueness Value make up the Row-ID
A Row-ID Example for a Unique Primary Index
A Row-ID Example for a Non-Unique Primary Index (NUPI)
Two Reasons why each AMP Sorts their rows by the Row-ID
AMPs sort their rows by Row-ID to Group like Data
AMPs sort their rows by Row-ID to do a Binary Search
Table CREATE Examples with four different Primary Indexes
Null Values all Hash to the Same AMP
A Unique Primary Index (UPI) Example
A Non-Unique Primary Index (NUPI) Example
A Multi-Column Primary Index Example
A No Primary Index (NoPI) Example
Quiz
Answer to Quiz
Chapter 4 - Secondary Indexes
Creating a Unique Secondary Index (USI)
What is in a Unique Secondary Index (USI) Subtable?
A Unique Secondary Index (USI) Subtable is hashed
How the Parsing Engine uses the USI Subtable
A USI is a Two-AMP Operation
Creating a Non-Unique Secondary Index (NUSI)
What is in a Unique Secondary Index (USI) Subtable?
Non-Unique Secondary Index (NUSI) Subtable is AMP Local
How the Parsing Engine uses the NUSI Subtable
Creating a Value-Ordered NUSI
The Hash Map Determines which AMP will own the Row
A Unique Primary Index Spreads the Data Evenly
Quiz – Answer the Tough USI Questions
Answer to Quiz – Answer the Tough USI Questions
A Picture with a Base Table, USI, and NUSI Subtable
Quiz – Tough Questions on the USI and NUSI Subtables
Answer – Tough Questions on the USI and NUSI Subtables
A Query Using an USI Only Moves Two Blocks
A Query Using A NUSI Always Uses All AMPs
Two Non-Unique Secondary Indexes (NUSI) on a Table
A NUSI BITMAP Query (1 of 3)
A NUSI BITMAP Theory (2 of 3)
A NUSI Bitmap in Action (3 of 3)
A Brilliant Technique for a Unique Secondary Index
The USI for Partitioned Tables Points to the Row Key
A Brilliant Technique for a Non-Unique Secondary Index
The NUSI for Partitioned Tables Points to the Row Key
How the PE Decides on the NUSI or the Full Table Scan
The Bigger Quiz
The Bigger Quiz Answers
Multiple Choice DBA
Multiple Choice DBA
What are the Big Three Tactical Queries?
What are the Big Three Tactical Queries?
Chapter 5 - Partition Primary Index (PPI) Tables
The Concept behind Partitioning a Table
Creating a PPI Table with Simple Partitioning
A Visual Display of Simple Partitioning
An SQL Example that explains Simple Partitioning
Creating a PPI Table with RANGE_N Partitioning per Month
A Visual of One Year of Data with Range_N per Month
An SQL Example explaining Range_N Partitioning per Month
A Partition # and Row-ID = Row Key
An AMP Stores its Rows Sorted in only Two Different Ways
Creating a PPI Table with RANGE_N Partitioning per Day
A Visual of Range_N Partitioning Per Day
An SQL Example that explains Range_N Partitioning per Day
Creating a PPI Table with RANGE_N Partitioning per Week
A Visual of Range_N Partitioning Per Week
SQL Example that explains Range_N Partitioning per Week
A Clever Range_N Option
Creating a PPI Table with CASE_N
A Visual of Case_N Partitioning
An SQL Example that explains CASE_N Partitioning
How many partitions do you see?
Number of PPI Partitions Allowed
How many partitions do you see?
NO CASE and UNKNOWN Partitions Together
A Visual of Case_N Partitioning
Combining Older Data and Newer Data in PPI
A Visual for Combining Older Data and Newer Data in PPI
The SQL on Combining Older Data and Newer Data in PPI
Multi-Level Partitioning Combining Range_N and Case_N
A Visual of Multi-Level Partitioning
The SQL on a Multi-Level Partitioned Primary Index
NON-Unique Primary Indexes (NUPI) in PPI
PPI Table with a Unique Primary Index (UPI)
Tricks for Non-Unique Primary Indexes (NUPI)
Character-Based PPI for RANGE_N
A Visual for Character-Based PPI for RANGE_N
The SQL on Character-Based PPI for RANGE_N
Character-Based PPI for CASE_N
Dates and Character-Based Multi-Level PPI
TIMESTAMP Partitioning
Using CURRENT_DATE to define a PPI
ALTER to CURRENT_DATE the next year
ALTER to CURRENT_DATE with Save
Altering a PPI Table to Add or Drop Partitions
Deleting a Partition
Deleting a Partition and saving its contents
Using the PARTITION Keyword in your SQL
SQL for RANGE_N
SQL for CASE_N
Primary Time Index (Teradata 16.20 release)
Primary Time Index Table Created on Time Bucket Parameter
PTI Table Created Jointly on Time Bucket and Column
Primary Time Index Table Created Only on the Column
Distribution Strategies Across AMPs
Sorting Strategies Within AMPs
Primary Time Index Auto-Generated Columns
SHOW Table Example of Auto-Generated Columns
Auto-generated Columns
Chapter 6 – Columnar Tables
Columnar Tables
Show Table
Auto-Compression
No Auto Compress
DDL of Previous Example
What does a Columnar Table look like?
Comparing Normal Table vs. Columnar Tables
Columnar can move just One Container to Memory
Containers on AMPs match up perfectly to rebuild a Row
Indexes can be used on Columns (Containers)
Indexes can be used on Columns (Containers)
Visualize a Columnar Table
Single-Column vs. Multi-Column Containers
Comparing Normal Table vs. Columnar Tables
Columnar Row Hybrid CREATE Statement
Columnar Row Hybrid Example
Columnar Row Hybrid Query Example
Review of Row-Based Partition Primary Index (PPI)
Visual of Row Partitioning (PPI Tables) by Month
CREATE Statement for both Row and Column Partition
Visual of Row Partitioning (PPI Tables) and Columnar
How to Load into a Columnar Table
Another Form of Creating a Table with NO AUTO COMPRESS
Auto Compress in Columnar Tables
When and When NOT to use Columnar Tables
Did you know Tom Coffing was a Professional Golf Caddie?
Chapter 7 – Space
When your System Arrives, there is only User named DBC
USER DBC
First Assignment is to create another User just under DBC
USER DBC
Perm and Spool Space
Perm Space is for Permanent Tables
Spool Space is workspace that builds a User’s Answer Sets
Spool Space is in an AMP’s Memory and on its Disk
Users are Assigned Spool Space Limits
What is the Purpose of Spool Limits?
Why did my query Abort and say “Out of Spool”?
How can Skewed Data cause me to run “Out of Spool”?
Why did my Join cause me to run “Out of Spool”?
Finding out how much Space you have
Space per AMP on all tables in a Database shows Skew
DBC’s 2nd Assignment is to CREATE Users and Databases
The Teradata Hierarchy Begins
The Teradata Hierarchy Continues
Differences between PERM and SPOOL
Databases, Users, and Views
What are Similarities between a DATABASE and a USER?
What is the Difference between a DATABASE and a USER?
Objects that take up PERM Space
A Series of Quizzes on Adding and Subtracting Space
Answer 1 to Quiz on Space
Space Transfer Quiz
Answer to Space Transfer Quiz
Drop Space Quiz
Answers to Drop Space Quiz
Chapter 8 – The User Environment
DBC is the only user when the system first arrives
DBC will Create Databases and Give them Space
DBC will create some initial Users
A Typical Teradata Environment
What are Similarities between a DATABASE and a USER?
Roles
Create a Role and then Assign that Role Its Access Rights
Create a User and Assign them a Default Role
Granting Access Rights
There are Three Types of Access Rights
Description of the Three Types of Access Rights
Profiles
Creating a Profile and a User
ProfileInfoVX, RoleMembers, RoleInfo and UserRoleRights
Accounts and their Associated Priorities
Creating a User with Multiple Account Priorities
Account String Expansion (ASE)
The DBC.AMPUsage View
Teradata TASM provides a User Traffic System
Teradata Viewpoint
Chapter 9 - How Teradata Works Internally
All Teradata Tables are spread across All AMPs
The Table Header and the Data Rows are Stored Separately
An AMP Stores the Rows of a Table inside a Data Block
To Read a Data Block, an AMP Moves the Block into Memory
Nothing Happens on Disk because Everything Happens in Memory
Most Taxing thing for an AMP is Moving Blocks into Memory
A Full Table Scan Means All AMPs must Read All Rows
The “Achilles Heel and slowest process is Block Transfer
Each Table has a Primary Index
A Query Using the Primary Index is a Single AMP Retrieve.
As Rows are added a Data Block will Eventually Split
A Full Table Scan Means All AMPs must Read All Blocks
A Primary Index Query uses a Single AMP and Single Block
Each AMP Can Have Many Blocks for a Single Table
A Full Table Scan Means All AMPs must Read All Blocks
Quiz – How Many Blocks Move into FSG Cache?
Answer – How Many Blocks Move into FSG Cache?
Quiz – How Many Blocks Move Using the Primary Index?
Answer – How Many Blocks Move Using the Primary Index?
Synchronized Scan (Sync Scan)
EXPLAIN Using a Synchronized Scan
Intelligent Memory
Teradata Intelligent Memory Gives Data a Temperature
Data deemed VeryHot stays in each AMP's Intelligent Memory
Intelligent Memory Stays in Memory
What is the Goal of a Teradata Physical Database Design?
Chapter 10 – Inside the AMPs Disk
Rows are Stored in Data Blocks which are stored in Cylinders
An AMP's rows are stored inside a Data Block in a Cylinder
An AMP’s Master Index is used to find the Right Cylinder
The Row Reference Array (RRA) Does the Binary Search?
A Block Splits into Two Blocks at Maximum Block Size
Data Blocks Maximum Block Size has Changed (V14.10)
The New Block Split with Teradata V14.10
The Block Split with Even More Detail
Teradata V14.10 Block Split Defaults
There is One Master Index and Thousands of Cylinder Indexes
Blocks Continue to Split as Tables Grow Larger
FYI – Some Advanced Information about Data Block Headers
A top-down view of Cylinders
There are Hot, Warm, and Cold Cylinders
Cylinders are used for Perm, Spool, Temp, and Journals
Each AMP has a Master Index
Each Cylinder on an AMP has a Cylinder Index
Quiz – What Two Things Does and AMP Read?
Answer – What Two Things Does and AMP Read?
Quiz – How Many Row Reference Arrays do you see?
Answer – How Many Row Reference Arrays do you see?
Quiz – How Many Row Reference Arrays are there Now?
Answer – How Many Row Reference Arrays do you see?
Quiz – How Many Row Reference Arrays in Total?
Answer – How Many Row Reference Arrays in Total?
Quiz – How Many Cylinder Indexes are here?
Answer – How Many Cylinder Indexes are here?
A More Detailed Illustration of the Master Index
A Real-World View of the Master Index
An Even More Realistic View of an AMP’s Master Index
The Cylinder Index
An Even More Realistic View of a Cylinder Index
How a Query using the Primary Index works
How the AMPs Do a Full Table Scan
How an AMP Reads Using a Primary Index
Chapter 11 - Temporal Tables Create Functions
Three types of Temporal Tables
CREATING a Bi-Temporal Table
PERIOD Data Types
Bi-Temporal Data Type Standards
Bi-Temporal Example – Tera-Tom buys!
A Look at the Temporal Results
Bi-Temporal Example – Tera-Tom Sells!
Bi-Temporal Example – How the data looks!
Normal SQL for Bi-Temporal Tables
NONSEQUENCED SQL for Temporal Tables
AS OF SQL for Temporal Tables
NONSEQUENCED for Both
Creating Views for Temporal Tables
Bi-Temporal Example – Socrates is DELETED!
Bi-Temporal Results – Socrates is DELETED
Chapter 12 - How Joins Work Internally
Teradata Join Quiz
Teradata Join Quiz Answer
The Joining of Two Tables
Teradata Moves Joining Rows to the Same AMP
Imagine Joining Two NoPI Tables that have No Primary Index
Both Tables are redistributed to Join Rows on the Same AMP
How do you join if One Table is Big and One Table is Small?
Duplicate the Small Table on Every AMP (like a mirror)
What Could You Do If Two Tables Joined 1000 Times a Day?
Joining Two Tables with the same PK/FK Primary Index
A Join with No Redistribution or Duplication
A Performance Tuning Technique for Large Joins
The Joining of Two Tables with an Additional WHERE Clause
An Example of the Fastest Join Possible
Using a Simple Volatile Table
A Volatile Table with a Primary Index
Using a Simple Global Temporary Table
Two Brilliant Techniques for Global Temporary Tables
The Joining of Two Tables Using a Global Temporary Table
Quiz – How Much Data Moves Across the BYNET?
Answer – How Much Data Moves Across the BYNET?
Join Feature PRPD
Chapter 13 - Join Indexes
Creating a Multi-Table Join Index
Visual of a Join Index
Outer Join Multi-Table Join Index
Visual of a Left Outer Join Index
Compressed Multi-Table Join Index
A Visual of a Compressed Multi-Table Join Index
Creating a Single-Table Join Index
Conceptual of a Single Table Join Index on an AMP
Single Table Join Index Great For LIKE Clause
Single Table Join Index with Value Ordered NUSI
Aggregate Join Indexes
Compressed Single-Table Join Index
Aggregate Join Index
Aggregate Join Index
Sparse Join Index
A Global Multi-Table Join Index
Creating a Hash Index
Join Index Details
Chapter 14 - Collect Statistics
The Teradata Parsing Engine (Optimizer) is Cost Based
The Purpose of Collect Statistics
When Teradata Collects Statistics it creates a Histogram
The Interval of the Collect Statistics Histogram
Histogram Quiz
Answers to Histogram Quiz
What to COLLECT STATISTICS On?
Why Collect Statistics?
How do you know if Statistics were collected on a Table?
A Huge Hint that No Statistics Have Been Collected
The Basic Syntax for COLLECT STATISTICS
COLLECT STATISTICS Examples for a better Understanding
The New Teradata Way to Collect Statistics
Where Does Teradata Keep the Collected Statistics?
The Official Syntax for COLLECT STATISTICS
How to Recollect STATISTICS on a Table
Teradata Always Does a Random AMP Sample
Random Sample is kept in the Table Header in FSG Cache
Multiple Random AMP Samplings
How a Random AMP gets a Table Row count
Random AMP Estimates for NUSI Secondary Indexes
USI Random AMP Samples are Not Considered
There’s No Random AMP Estimate for Non-Indexed Columns
The PE's Plan if No Statistics Were Collected?
Stale Statistics Detection and Extrapolation
Extrapolation for Future Dates
How to Copy a Table with Data and the Statistics?
How to Copy a Table with NO Data and the Statistics?
COLLECT STATISTICS Directly From another Table
When to COLLECT STATISTICS Using only a SAMPLE
Examples of COLLECT STATISTICS Using only a SAMPLE
Examples of COLLECT STATISTICS
How to Collect Statistics on a PPI Table on the Partition
Teradata Statistics Enhancements
Teradata Statistics Enhancements Continued
Summary Statistics
MaxValueLength
MaxIntervals
Sample N Percent
Statistics Collection Improvements
Statistics Collection Improvements
AutoStats feature
Teradata Statistics Wizard
Chapter 15 – Native Object Store
Native Object Store (NOS)
Native Object Store (NOS) Capabilities
The Two Ways to Read Data From an External Object Store
Native Object Store (NOS) Security
Security Example
Finding all Objects in an Object Store
Chapter 16 - Basic SQL Functions
Nexus – Your query and migration tool
Introduction
SELECT * (All Columns) in a Table
SELECT Specific Columns in a Table
Using the Best Form for Writing SQL
Place your Commas in front for better Debugging Capabilities
Sort the Data with the ORDER BY Keyword
ORDER BY Defaults to Ascending
Use the Name or the Number in your ORDER BY Statement
Two Examples of ORDER BY using Different Techniques
Order By with Nulls Last
Changing the ORDER BY to Descending Order
NULL Values sort First in Ascending Mode (Default)
NULL Values sort Last in Descending Mode (DESC)
Order By DESC With Nulls First
Major Sort vs. Minor Sorts
Multiple Sort Keys using Names vs. Numbers
Sorts are Alphabetical, NOT Logical
Using A CASE Statement to Sort Logically
Using A Searched CASE Statement to Sort Logically
Quiz – Can you Add a Minor Sort?
Answer – Can you Add a Minor Sort?
Order By Decode
Quiz – Can you Add Two Minor Sorts Using Decode?
Answer – Can you Add Two Minor Sorts Using Decode?
How to ALIAS a Column Name
Using an Alias in the WHERE and ORDER BY Clause
Using an Alias in the ORDER BY Clause with Decode
A Missing Comma can by Mistake become an Alias
The Title Command and Literal Data
Comments using Double Dashes are Single Line Comments
Comments for Multi-Lines
Comments for Multi-Lines as Double Dashes per Line
A Great Technique for Comments to Look for SQL Errors
Chapter 17 - The WHERE Clause
The WHERE Clause limits Returning Rows
Using a Column ALIAS throughout the SQL
Double Quoted Aliases are for Reserved Words and Spaces
Character Data needs Single Quotes in the WHERE Clause
Character Data needs Single Quotes, but Numbers Don’t
NULL means UNKNOWN DATA so Equal (=) won’t Work
Use IS NULL or IS NOT NULL when dealing with NULLs
NULL is UNKNOWN DATA so NOT Equal won’t Work
Use IS NULL or IS NOT NULL when dealing with NULLs
Using Greater Than OR Equal To (>=)
Using GE as Greater Than or Equal To (>=)
AND in the WHERE Clause
Troubleshooting AND
OR in the WHERE Clause
Troubleshooting OR
WHY OR Must Utilize the Column Name Each Time
Troubleshooting Character Data
Troubleshooting Character Data Continued
Using Different Columns in an AND Statement
Quiz – How many rows will return?
Answer to Quiz – How many rows will return?
What is the Order of Precedence?
Using Parentheses to change the Order of Precedence
Using an IN List in place of OR
The IN List is an Excellent Technique
IN List vs. OR brings the same Results
The IN List Can Use Character Data
Using a NOT IN List
Null Values in a NOT IN List Return No Rows
An IN List with the Keyword ANY
A NOT IN List with the Keywords NOT = ALL
The NOT BETWEEN Statement is also Inclusive
BETWEEN Works for Character Data
IN ANSI Transaction Mode Case Matters
Escape Character in the LIKE Command changes Wildcards
Escape Characters Turn off Wildcards in the LIKE Command
Chapter 18 - Distinct Vs. Group By
The Distinct Command
Distinct vs. GROUP BY
Quiz – How many rows come back from the Distinct?
Answer – How many rows come back from the Distinct?
Chapter 19 - The TOP Command
TOP Command
TOP Command is brilliant with an ORDER BY Statement
The TOP Command WITH TIES
How the TOP Command WITH TIES Decides
The TOP Command will NOT work with Certain Commands
Chapter 20 - HELP and SHOW
Determining the Release of your Teradata System
Basic HELP Commands
Other HELP Commands
HELP DATABASE
HELP USER
HELP TABLE
Adding a Comment to a Table
Adding a Comment to a View
SELECT SESSION
USER Information Functions
HELP SESSION
HELP SQL
A HELP SQL Example
Show Commands
SHOW Table command for Table DDL
SHOW View command for View Create Statement
SHOW Macro command for Macro Create Statement
SHOW Trigger command for Trigger Create Statement
Chapter 21 - Aggregation Function
Quiz – You calculate the Answer Set in your Mind
Answer – You calculate the Answer Set in your Mind
The Three Rules of Aggregation
The Five Aggregates
Casting a Data Type
Troubleshooting Aggregates
GROUP BY when Aggregates and Normal Columns Mix
GROUP BY dept_no or GROUP BY 1 the same thing
Limiting Rows and Improving Performance with WHERE
WHERE Clause in Aggregation limits unneeded Calculations
Keyword HAVING tests Aggregates after they are Totaled
Keyword HAVING is like an Extra WHERE Clause for Totals
Getting the Average Values per Column
Average Values per Column for All Columns in a Table
Three types of Advanced Grouping
GROUP BY Grouping Sets
GROUP BY Rollup
GROUP BY Rollup Result Set
GROUP BY Cube
GROUP BY CUBE ResultSet
Quiz - GROUP BY GROUPING SETS Advanced Challenge
Answer To Quiz - GROUP BY GROUPING SETS Advanced Challenge
Chapter 22 - Join Functions
Two-Table join using Traditional Join Syntax
Two-table join using Traditional Join Syntax with Table Alias
You Can Fully Qualify All Columns for Clarity
Two-Table Join using ANSI Syntax
Both Queries have the same Results and Performance
Quiz – Can You Finish the Join Syntax?
Answer to Quiz – Can You Finish the Join Syntax?
Quiz – Can You Find the Error?
Answer to Quiz – Can You Find the Error?
Super Quiz – Can You Find the Difficult Error?
Answer to Quiz – Can You Find the Error?
Quiz – Which rows from both tables Won’t Return?
Answer to Quiz – Which rows from both tables Won’t Return?
LEFT OUTER JOIN
LEFT OUTER JOIN Brings Back All Rows in the Left Table
RIGHT OUTER JOIN
RIGHT OUTER JOIN Brings Back All Rows in the RIGHT Table
FULL OUTER JOIN
FULL OUTER JOIN Brings Back All Rows in All Tables
Which Tables are the Left and which are the Right?
Answer - Which Tables are the Left and which are the Right?
INNER JOIN with Additional WHERE Clause
ANSI INNER JOIN with Additional AND Clause
OUTER JOIN with Additional WHERE Clause
OUTER JOIN with Additional AND Clause
The DREADED Product Join
The DREADED Product Join Results
Cartesian Product Join with Traditional Syntaxn
Cartesian Product Join with ANSI Syntax
The CROSS JOIN
The CROSS JOIN Answer Set
The Self Join
The Self Join with ANSI Syntax
An Associative Table is a Bridge that Joins Two Tables
Quiz – Can you Write the 3-Table Join?
Answer to Quiz – Can you Write the 3-Table Join?
Quiz – Can you Write the 3-Table Join to ANSI Syntax?
Answer – Can you Write the 3-Table Join to ANSI Syntax?
Quiz – Can you Place the ON Clauses at the End?
Answer – Can you Place the ON Clauses at the End?
The 5-Table Join – Logical Insurance Model
Quiz - Write a Five Table Join Using ANSI Syntax
Answer - Write a Five Table Join Using ANSI Syntax
Quiz - Write a Five Table Join Using Traditional Syntax
Answer - Write a Five Table Join Using Traditional Syntax
Quiz - Write a Five Table Join Using ANSI Syntax
Answer - Write a Five Table Join Using ANSI Syntax
Quiz –Re-Write this putting the ON clauses at the END
Answer –Re-Write this putting the ON clauses at the END
Chapter 23 - Date Functions
Date, Time, and Current_Timestamp Keywords
Add or Subtract From a Date
Subtract Two Dates for a Difference in Days
Dates are stored internally as INTEGERS from a Formula
Displaying Dates for INTEGERDATE and ANSIDATE
DATEFORM
Changing the DATEFORM in Client Utilities such as BTEQ
Date, Time, and Timestamp Recap
Timestamp Differences
Finding the Number of Hours between Timestamps
ResultSet to Finding the Number of Hours between Timestamps
Troubleshooting Timestamp
Add or Subtract Days from a date
A Summary of Math Operations on Dates
Using a Math Operation to find your Age in Years
Find What Day of the week you were Born
The ADD_MONTHS Command
Using the ADD_MONTHS Command to Add 1 Year
Using the ADD_MONTHS Command to Add 5 Years
The EXTRACT Command
Another Technique for Extracting Portions of a Timestamp or Date
EXTRACT from DATES and TIME
Why EXTRACT is a Better Form
CURRENT_DATE and EXTRACT or Current_Date and Math
CAST the Date of January 1, 2011, and the Year 1800
EXTRACT of the Month on Aggregate Queries
The System Calendar
Using the System Calendar in Its Simplest Form
How to use the Sys_Calendar.Calendar
Another Method For Advanced Dates
Date Tricks
Changing the Date to a Timestamp
Selecting the First and Last Day of the Current Month
Finding the Last Day of the Previous Month
Finding the Previous Friday Date From Today
Advanced Tricks for Month
Converting a String to a Date that has a Different Format
Combining Date and Time to Make a Timestamp
Converting a Timestamp into Time
Determining if the Current_Date is a Leap Year
Determining if the Current_Timestamp is a Leap Year
Storing Dates Internally
Storing Time Internally
Storing TIME with TIME ZONE Internally
Storing Timestamp Internally
Storing Timestamp with TIME ZONE Internally
Storing Date, Time, and Timestamp with Zone Internally
Time Zones
Setting Time Zones at the System Level
Setting Time Zones at the User Level
Setting Time Zones at the Session Level
Seeing your Time Zone
Creating a Sample Table for Time Zone Examples
Inserting Rows in the Sample Table for Time Zone Examples
Selecting the Data from our Time Zone Table
Normalizing our Time Zone Table with a CAST
Intervals for Date, Time and Timestamp
Interval Data Types and the Bytes to Store Them
The Basics of a Simple Interval
Troubleshooting the Basics of a Simple Interval
Interval Arithmetic Results
A Date Interval Example
A Time Interval Example
A DATE Interval Example
A Complex Time Interval Example using CAST
A Complex Time Interval Example using CAST
The OVERLAPS Command
An OVERLAPS Example that Returns No Rows
The OVERLAPS Command using TIME
The OVERLAPS Command using a NULL Value
Chapter 24 - Format Functions
The FORMAT Command
The Basics of the FORMAT Command
Quiz – How will the Date Appear after Formatting
Answer to Quiz – How will the Date Appear after Formatting
Quiz – How will the Date Appear after Formatting
Answer to Quiz – How will the Date Appear after Formatting
Formatting with MMM for the Abbreviated Month
Answer to Quiz – How will the Date Appear after Formatting
Formatting with MMMM for the Full Month Name
Formatting with MMMM for the Full Month
Formatting with DDD for the Julian Day
Formatting with DDD for the Julian Day
Formatting with EEE or EEEE for the Day of the Week
EEEE for the Abbreviated or Full Day of the Week
Placing Spaces inside your Formatting Commands with a B
Formatting Spaces with B or b
Formatting with 9
Formatting with 9 Results
Troubleshooting when Formatted Data Overflows
Troubleshooting when Formatted Data Overflows
Formatting with X or x
Formatting with Z
Formatting with Z Visual
Formatting with 9
Formatting with 9 Visual
Formatting with $
Formatting with $ Visual
Formatting with $ and Commas
Formatting with $ and Commas Visual
Formatting with $ and Commas and 9
Formatting with $ and Commas and 9 with Zero Dollars
A Great Formatting Example
A Great Formatting Example for Day, Month, and Year
A Trick to get SQL Assistant to Format Data
Using the CASESPECIFIC (CS) Command in Teradata Mode
Using NOT CASESPECIFIC (CS) in ANSI Mode
Using the LOWER Command
Using the UPPER Command
Chapter 25 – Ordered Analytic Window Functions
On-Line Analytical Processing (OLAP) or Ordered Analytics
Cumulative Sum (CSUM) Command and how OLAP Works
Row_Number
Quiz – How did the Row_Number Reset?
What Keyword(s) caused the column alias startover to reset?
Answer – How did the Row_Number Reset?
Qualify
Quiz – Return Only the last Two Days Per Product_ID
Answer – Return Only the last Two Days Per Product_ID
Quiz – Return Two Students Per Class_Code with Highest Grades
Answer – Return Two Students Per Class_Code with Highest Grades
Using a Derived Table
The ANSI Version of CSUM – The Sort Explained
The ANSI CSUM – Rows Unbounded Preceding Explained
The ANSI CSUM – Making Sense of the Data
The ANSI CSUM – Making Even More Sense of the Data
The ANSI CSUM – The Major and Minor Sort Key(s)
The ANSI CSUM – Getting a Sequential Number
Troubleshooting the ANSI OLAP on a GROUP BY
The ANSI OLAP – Reset with a PARTITION BY Statement
PARTITION BY only Resets a Single OLAP not ALL of them
The Moving SUM (MSUM) and Moving Window
How the Moving Sum is calculated
How the Sort works for Moving SUM (MSUM)
GROUP BY in the Moving SUM does a Reset
Quiz – Can you make the Advanced Calculation in your mind?
Answer to Quiz for the Advanced Calculation in your mind?
Quiz – Write that Teradata Moving Average in ANSI Syntax
Both the Teradata Moving SUM and ANSI Version
The ANSI Moving Window is Current Row and Preceding
How ANSI Moving Average Handles the Sort
Quiz – How is that Total Calculated?
Answer to Quiz – How is that Total Calculated?
Moving SUM every 3-rows Vs. a Continuous Average
Partition BY Resets an ANSI OLAP
The Moving Average (MAVG) and Moving Window
How the Moving Average is calculated
How the Sort works for Moving Average (MAVG)
GROUP BY in the Moving Average does a Reset
Quiz – Can you make the Advanced Calculation in your mind?
Answer to Quiz for the Advanced Calculation in your mind?
Quiz – Write that Teradata Moving Average in ANSI Syntax
Both the Teradata Moving Average and ANSI Version
The ANSI Moving Window is Current Row and Preceding
How ANSI Moving Average Handles the Sort
Quiz – How is that Total Calculated?
Answer to Quiz – How is that Total Calculated?
Quiz – How is that 4th Row Calculated?
Answer to Quiz – How is that 4th Row Calculated?
Moving Average every 3-rows Vs. a Continuous Average
Partition BY Resets an ANSI OLAP
The Moving Difference (MDIFF)
Moving Difference (MDIFF) Visual
Moving Difference using ANSI Syntax
Moving Difference using ANSI Syntax with Partition By
Trouble Shooting the Moving Difference (MDIFF)
Using the RESET WHEN Option in Teradata (V13)
How Many Months per Product_ID has Revenue Increased?
The RANK Command
How to get Rank to Sort in Ascending Order
Two ways to get Rank to Sort in Ascending Order
RANK using ANSI Syntax Defaults to Ascending Order
Getting RANK using ANSI Syntax to Sort in DESC Order
RANK () OVER and PARTITION BY
RANK () OVER and QUALIFY
RANK () OVER and PARTITION BY with a QUALIFY
QUALIFY and WHERE
Quiz – How can you simplify the QUALIFY Statement
Answer to Quiz –Can you simplify the QUALIFY Statement
The QUALIFY Statement without Ties
The QUALIFY Statement with Ties
The QUALIFY Statement with Ties Brings back Extra Rows
Mixing Sort Order for QUALIFY Statement
Quiz – What Caused the RANK to Reset?
Answer to Quiz – What Caused the RANK to Reset?
Quiz – Name those Sort Orders
Answer to Quiz – Name those Sort Orders
PERCENT_RANK () OVER
PERCENT_RANK () OVER with 14 rows in Calculation
PERCENT_RANK () OVER with 21 rows in Calculation
Quiz – What Cause the Product_ID to Reset
Answer to Quiz – What Causes the Product_ID to Reset
Answer to Quiz – What Causes the Product_ID to Reset
COUNT OVER for a Sequential Number
Troubleshooting COUNT OVER
Quiz – What caused the COUNT OVER to Reset?
Answer to Quiz – What caused the COUNT OVER to Reset?
The MAX OVER Command
MAX OVER with PARTITION BY Reset
Troubleshooting MAX OVER
The MIN OVER Command
Troubleshooting MIN OVER
Finding a Value of a Column in the Next Row with MIN
Finding a Value of a Date in the Next Row with MIN
Finding Gaps between Dates
The CSUM for Each Product_ID for the First 3 Days
Quiz – Fill in the Blank
Answer to Quiz – Fill in the Blank
The Row_Number Command
Quiz – How did the Row_Number Reset?
Quiz – How did the Row_Number Reset?
Row_Number with Qualify to get the Typical Rows per Value
A Second Typical Rows per Value Query on Sale_Date
Testing Your Knowledge
Testing Your Knowledge
Testing Your Knowledge
Testing Your Knowledge
Testing Your Knowledge
Testing Your Knowledge
Chapter 26 - The Quantile Function
The Quantile Function and Syntax
A Quantile Example
A Quantile Example using DESC Mode
QUALIFY to find Products in the top Partitions
QUALIFY to find Products in the top Partitions Sorted DESC
QUALIFY to find Products in the top Partitions Sorted ASC
QUALIFY to find Products in top Partitions with Tiebreaker
Using Tertiles (Partitions of Four)
How Quantile Works
Chapter 27 - Temporary Tables
There are three types of Temporary Tables
CREATING A Derived Table
Naming the Derived Table
Aliasing the Column Names in the Derived Table
Most Derived Tables Are Used To Join To Other Tables
Multiple Ways to Alias the Columns in a Derived Table
Our Join Example with a Different Column Aliasing Style
Column Aliasing Can Default for Normal Columns
CREATING a Derived Table using the WITH Command
Our Join Example With the WITH Syntax
The Same Derived Query shown Three Different Ways
Quiz - Answer the Questions
Answer to Quiz - Answer the Questions
Clever Tricks on Aliasing Columns in a Derived Table
A Derived Table lives only for the lifetime of a single query
An Example of Two Derived Tables in a Single Query
WITH RECURSIVE Derived Table
Defining the WITH Recursive Derived Table
Looping Through the WITH Recursive Derived Table
Looping Through the WITH Recursive Derived Table
Looping Through the WITH Recursive Derived Table
Looping Through the WITH Recursive Derived Table
Looping Through the WITH Recursive Derived Table
Creating a Volatile Table
You Populate a Volatile Table with an INSERT/SELECT
The Three Steps to Use a Volatile Table
Why Would You Use the ON COMMIT DELETE ROWS?
The HELP Volatile Table Command Shows your Volatiles
A Volatile Table with a Primary Index
The Joining of Two Tables Using a Volatile Table
You Can Collect Statistics on Volatile Tables
The New Teradata V14 Way to Collect Statistics
Four Examples of Creating a Volatile Table Quickly
Four Advanced Examples of Creating a Volatile Table Quickly
Creating Partitioned Primary Index (PPI) Volatile Tables
Using a Volatile Table to Get Rid of Duplicate Rows
Using a Simple Global Temporary Table
Two Brilliant Techniques for Global Temporary Tables
The Joining of Two Tables Using a Global Temporary Table
CREATING A Global Temporary Table
Chapter 28 - Sub-query Functions
An IN List is much like a Subquery
An IN List Never has Duplicates – Just like a Subquery
An IN List Ignores Duplicates
The Subquery
How a Basic Subquery Works
The Final Answer Set from the Subquery
Quiz- Answer the Difficult Question
Answer to Quiz- Answer the Difficult Question
Should you use a Subquery of a Join?
Quiz- Write the Subquery
Answer to Quiz- Write the Subquery
Quiz- Write the More Difficult Subquery
Answer to Quiz- Write the More Difficult Subquery
Quiz- Write the Subquery with an Aggregate
Answer to Quiz- Write the Subquery with an Aggregate
Quiz- Write the Correlated Subquery
Answer to Quiz- Write the Correlated Subquery
The Basics of a Correlated Subquery
The Top Query always runs first in a Correlated Subquery
The Bottom Query runs last in a Correlated Subquery
Quiz- Who is coming back in the Final Answer Set?
Answer- Who is coming back in the Final Answer Set?
Correlated Subquery Example vs. a Join with a Derived Table
Quiz- A Second Chance to Write a Correlated Subquery
Answer - A Second Chance to Write a Correlated Subquery
Quiz- A Third Chance to Write a Correlated Subquery
Answer - A Third Chance to Write a Correlated Subquery
Quiz- Last Chance to Write a Correlated Subquery
Answer – Last Chance to Write a Correlated Subquery
Correlated Subquery that Finds Duplicates
Quiz- Write the NOT Subquery
Answer to Quiz- Write the NOT Subquery
Quiz- Write the Subquery using a WHERE Clause
Answer - Write the Subquery using a WHERE Clause
Quiz- Write the Subquery with Two Parameters
Answer to Quiz- Write the Subquery with Two Parameters
How the Double Parameter Subquery Works
More on how the Double Parameter Subquery Works
Quiz – Write the Triple Subquery
Answer to Quiz – Write the Triple Subquery
Quiz – How many rows return on a NOT IN with a NULL?
How to handle a NOT IN with Potential NULL Values
IN is equivalent to =ANY
Using a Correlated Exists
How a Correlated Exists matches up
The Correlated NOT Exists
The Correlated NOT Exists Answer Set
Quiz – How many rows come back from this NOT Exists?
Answer – How many rows come back from this NOT Exists?
Chapter 29 - Strings
The CHARACTERS Command Counts Characters
The CHARACTERS Command – Spaces can Count too
The CHARACTERS Command and Char (20) Data
Troubleshooting the CHARACTERS Command
TRIM for Troubleshooting the CHARACTERS Command
CHARACTERS and CHARACTER_LENGTH equivalent
OCTET_LENGTH
The TRIM Command trims both Leading and Trailing Spaces
Trim and Trailing is Case Sensitive
Trim and Trailing works if Case right
Trim Combined with the CHARACTERS Command
How to TRIM only the Trailing Spaces
How to TRIM Trailing Letters
How to TRIM Trailing Letters and use CHARACTER_Length
The SUBSTRING Command
How SUBSTRING Works with NO ENDING POSITION
Using SUBSTRING to move Backwards
How SUBSTRING Works with a Starting Position of -1
How SUBSTRING Works with an Ending Position of 0
An Example using SUBSTRING, TRIM and CHAR Together
SUBSTRING and SUBSTR are equal, but use differe,nt syntax
The POSITION Command finds a Letters Position
The POSITION Command is brilliant with SUBSTRING
Quiz – Name that SUBSTRING Starting and For Length
The POSITION Command is brilliant with SUBSTRING
Quiz – Name that SUBSTRING Starting and For Length
Answer to Quiz – Name that Starting and For Length
Answer to Quiz – Name that Starting and For Length
Using the SUBSTRING to Find the Second Word On
Quiz – Why did only one Row Return
Answer to Quiz – Why Did only one Row Return
Concatenation
Concatenation and SUBSTRING
Four Concatenations Together
Troubleshooting Concatenation
Chapter 30 - Interrogating the Data
Quiz – What would the Answer be?
Answer to Quiz – What would the Answer be?
The NULLIFZERO Command
Quiz – Fill in the Blank Values in the Answer Set
Answer to Quiz – Fill in the Blank Values in the Answer Set
Answer to Quiz – Fill in the Blank Values in the Answer Set
Quiz – Fill in the Answers for the NULLIF Command
Quiz – Fill in the Answers for the NULLIF Command
The ZEROIFNULL Command
Answer to the ZEROIFNULL Question
The COALESCE Command
The COALESCE Answer Set
The Coalesce Quiz
Answers to the Coalesce Quiz
The Basics of CAST (Convert and Store)
Some Great CAST (Convert and Store) Examples
Some Great CAST (Convert and Store) Examples
Some Great CAST (Convert and Store) Examples
A Teradata Extension – The Implied Cast
The Basics of the CASE Statements
The Basics of the CASE Statement shown visually
Valued Case vs. Searched Case
Quiz - Valued Case Statement
Answer - Valued Case Statement
Quiz - Searched Case Statement
Answer - Searched Case Statement
Quiz - When NO ELSE is present in CASE Statement
Answer - When NO ELSE is present in CASE Statement
When an ELSE is present in CASE Statement
When NO ELSE is present in CASE Statement
When an Alias is NOT used in a CASE Statement
When an Alias is NOT used in a CASE Statement
When NO ELSE is present in CASE Statement
Combining Searched Case and Valued Case
A Trick for getting a Horizontal Case
Nested Case
Put a CASE in the ORDER BY
Chapter 31 - View Functions
Creating a Simple View
Basic Rules for Views
How to Modify a View
Exceptions to the ORDER BY Rule inside a View
How to Get HELP with a View
Views sometimes CREATED for Formatting or Row Security
Another Way to Alias Columns in a View CREATE
Resolving Aliasing Problems in a View CREATE
Resolving Aliasing Problems in a View CREATE
Resolving Aliasing Problems in a View CREATE
CREATING Views for Complex SQL such as Joins
WHY certain columns need Aliasing in a View
Aggregates on View Aggregates
Locking Row for Access
Creating Views for Temporal Tables
Altering a Table
Altering a Table after a View has been created
A View that errors After an ALTER
Troubleshooting a View
Updating Data in a Table through a View
Maintenance Restrictions on a Table through a View
Chapter 32 - Macro Functions
The 14 rules of Macros
CREATING and EXECUTING a Simple Macro
Multiple SQL Statements inside a Macro
Complex Joins inside a Macro
Passing an INPUT Parameter to a Macro
Troubleshooting a Macro with INPUT Parameters
Troubleshooting a Macro with INPUT Parameters
An UPDATE Macro with Two Input Parameters
Executing a Macro with Named (Not Positional) Parameters
Troubleshooting a Macro
Chapter 33 - Set Operators Functions
Rules of Set Operators
INTERSECT Explained Logically
INTERSECT Explained Logically
UNION Explained Logically
UNION Explained Logically
UNION ALL Explained Logically
UNION Explained Logically
EXCEPT Explained Logically
EXCEPT Explained Logically
Minus Explained Logically
Minus Explained Logically
Testing Your Knowledge
Testing Your Knowledge
An Equal Amount of Columns in both SELECT List
Columns in the SELECT list should be from the same Domain
The Top Query handles all Aliases
The Bottom Query does the ORDER BY (a Number)
Great Trick: Place your Set Operator in a Derived Table
UNION vs. UNION ALL
UNION vs. UNION ALL Example
Using UNION ALL and Literals
A Great Example of how EXCEPT works
USING Multiple SET Operators in a Single Request
Changing the Order of Precedence with Parentheses
Using UNION ALL for speed in Merging Data Sets
Using UNION to be same as GROUP BY GROUPING SETS
Using UNION to be same as GROUP BY ROLLUP
Using UNION to be the same as GROUP BY Cube
Using UNION to be same as GROUP BY Cube
Using UNION to be same as GROUP BY Cube
Chapter 34 – Creating Tables, Secondary Indexes, and Join Indexes
Creating a Table with a Unique Primary Index
Creating a Table with a Non-Unique Primary Index
Creating a Table without entering a Primary Index
Creating a Table with NO Primary Index
Creating a Set Table
Creating a Multiset Table
Creating a Set Table with a Unique Primary Index
Creating a Set Table with a Unique Secondary Index
Creating a Table with an UPI and USI
Creating a Table with a Multicolumn Primary Index
Creating a Unique Secondary Index (USI) after a table is created
Creating a Non-Unique Secondary Index (NUSI) after a table is created
Creating a Value-Ordered NUSI
Data Types
Data Types Continued
Data Types Continued
Major Data Types and the number of Bytes they take up
Making an exact copy a Table
Making a NOT-So-Exact Copy a Table
Copying a Table
Troubleshooting Copying and Changing the Primary Index
Copying only specific columns of a table
Copying a Table and Keeping the Statistics
Copying a Table with Statistics
Copying a table Structure with NO Data but Statistics
Creating a Table with Fallback
Creating a Table with No Fallback
Creating a Table with a Before Journal
Creating a Table with a Dual Before Journal
Creating a Table with an After Journal
Creating a Table with a Dual After Journal
Creating a Table with a Journal Keyword Alone
Why Use Journaling?
Why Use Journaling?
Creating a Table with Customization of the Data Block Size
Creating a Table with Customization with FREESPACE Percent
Creating a QUEUE Table
Example of how a Queue Table Works
Example of how a Queue Table Works
Creating a Columnar Table
Creating a Columnar Table with Multi-Column Containers
Creating a Columnar Table with a Row Hybrid
Creating a Columnar Table with both Row and Column Partitions
How to Load into a Columnar Table
Creating a Columnar Table with NO AUTO COMPRESS
CREATING a Bi-Temporal Table
Explaining Bi-Temporal PERIOD Data Types
Creating a PPI Table with Simple Partitioning
Creating a PPI Table with RANGE_N Partitioning per Day
Creating a PPI Table with RANGE_N Partitioning per Month
A Visual of One Year of Data with Range_N per Month
Creating a PPI Table with RANGE_N Partitioning per Week
A Clever Range_N Option
Creating a PPI Table with CASE_N
A Visual of Case_N Partitioning
Number of PPI Partitions Allowed
NO CASE and UNKNOWN Partitions Together
Combining Older Data and Newer Data in PPI
A Visual for Combining Older Data and Newer Data in PPI
Multi-Level Partitioning Combining Range_N and Case_N
A Visual of Multi-Level Partitioning
NON-Unique Primary Indexes (NUPI) in PPI
PPI Table with a Unique Primary Index (UPI)
Tricks for Non-Unique Primary Indexes (NUPI)
A Brilliant Technique for a Unique Secondary Index
A Brilliant Technique for a Non-Unique Secondary Index
Character Based PPI for RANGE_N
Character-Based PPI for CASE_N
Dates and Character-Based Multi-Level PPI
TIMESTAMP Partitioning
Using CURRENT_DATE to define a PPI
ALTER to CURRENT_DATE the next year
ALTER to CURRENT_DATE with Save
Altering a PPI Table to Add or Drop Partitions
Deleting a Partition
Deleting a Partition and saving its contents
Using the PARTITION Keyword in your SQL
SQL for RANGE_N
SQL for CASE_N
SQL – User Defined Functions (UDF)
User Defined Functions
Creating a Multi-Table Join Index
Visual of a Join Index
Outer Join Multi-Table Join Index
Visual of a Left Outer Join Index
Compressed Multi-Table Join Index
Creating a Single-Table Join Index
Compressed Single-Table Join Index
Aggregate Join Index
Sparse Join Index
A Global Multi-Table Join Index
Creating a Hash Index
Chapter 35 - Data Manipulation Language (DML)
INSERT Syntax # 1
INSERT Example with Syntax 1
INSERT Syntax # 2
INSERT Example with Syntax 2
INSERT Example with Syntax 3
Using NULL for Default Values
INSERT/SELECT Command
INSERT/SELECT Example using All Columns (*)
INSERT/SELECT Example with Less Columns
INSERT/SELECT to Build a Data Mart
Fast Path INSERT/SELECT
NOT quite the Fast Path INSERT/SELECT
UNION for the Fast Path INSERT/SELECT
BTEQ for the Fast Path INSERT/SELECT
The UPDATE Command Basic Syntax
Two UPDATE Examples
Subquery UPDATE Command Syntax
Example of Subquery UPDATE Command
Join UPDATE Command Syntax
Example of an UPDATE Join Command
Fast Path UPDATE
The DELETE Command Basic Syntax
Two DELETE Examples to DELETE ALL Rows in a Table
A DELETE Example Deleting only Some of the Rows
Subquery and Join DELETE Command Syntax
Example of Subquery DELETE Command
Example of Join DELETE Command
Fast Path DELETE
Fast Path DELETE Example # 1
Fast Path DELETE Example # 2
Fast Path DELETE Example # 3
MERGE INTO
MERGE INTO Example that Matches
MERGE INTO Example that does NOT Match
OReplace
Chapter 36 - Stored Procedure Functions
Stored Procedures vs. Macros
Creating a Stored Procedure
How you CALL a Stored Procedure
Label all BEGIN and END statements except the first ones
How to Declare a Variable
How to Declare a Variable and then SET the Variable
An IN Variable is passed to the Procedure during the CALL
The IN, OUT and INOUT Parameters
Using IF inside a Stored Procedure
Example of two Stored Procedures with different techniques
Using Loops in Stored Procedures
You can Name the First Begin and End if you choose
Using Keywords LEAVE vs. UNTIL for LEAVE vs. REPEAT
Stored Procedure Basic Assignment
Answer - Stored Procedure Basic Assignment
Stored Procedure Advanced Assignment
Answer - Stored Advanced Assignment
Chapter 37 - Trigger Functions
The Fundamentals of Triggers
CREATING A Trigger
FOR EACH STATEMENT vs. FOR EACH ROW
Using ORDER when Similar Triggers Exist
Chapter 38 - Math Functions
What is the Order of Precedents?
What is the Answer to this Math Question?
What is the Answer to this Math Question?
What is the Answer to this Math Question?
Chapter 39 - Sample
The SAMPLE Function and Syntax
SAMPLE Function Examples
A SAMPLE Example that asks for Multiple Samples
A SAMPLE Example with the SAMPLEID
A SAMPLE Example WITH REPLACEMENT
A SAMPLE Example with Four 10% Samples
A Randomized SAMPLE
A SAMPLE with Conditional Logic
Aggregates and A SAMPLE using a Derived Table
Random Number Generator
Using Random to SELECT a Percentage of Rows
Using Random and Aggregations
Chapter 40 - Statistical Aggregate Functions
The Stats Table
The KURTOSIS Function
A Kurtosis Example
The SKEW Function
A SKEW Example
The STDDEV_POP Function
A STDDEV_POP Example
The STDDEV_SAMP Function
A STDDEV_SAMP Example
The VAR_POP Function
A VAR_POP Example
The VAR_SAMP Function
A VAR_SAMP Example
The CORR Function
A CORR Example
Another CORR Example so you can compare
The COVAR_POP Function
A COVAR_POP Example
Another COVAR_POP Example so you can Compare
The REGR_INTERCEPT Function
A REGR_INTERCEPT Example
Another REGR_INTERCEPT Example so you can compare
The REGR_SLOPE Function
A REGR_SLOPE Example
Another REGR_SLOPE Example so you can compare
Using GROUP BY
No Having Clause vs. Use of HAVING
Chapter 41 - Explain Examples
EXPLAIN Keywords
EXPLAIN Keywords Continued
Explain Example – Full Table Scan
Explain Example – Unique Primary Index (UPI)
Explain Example – Non-Unique Primary Index (NUPI)
Explain Example – Unique Secondary Index (USI)
Explain Example – Redistributed to All-AMPs
Explain Example – Row Hash Match Scan
Explain Example – Duplicated on All-AMPs
Explain Example – Low Confidence
Explain Example – High Confidence
Explain Example – Product Join
Explain Example – BMSMS
Explain Terminology for Partitioned Primary Index Tables
Explain Example – From a Single Partition
Explain Example – From N Partitions
Explain Example – Partitions and Current_Date