SQL Antipatterns: Avoiding the Pitfalls of Database Programming is unique in that it focuses on common SQL programming errors, offering a clear-cut insight into avoiding such mishaps or correcting them should they occur. Broken down into four practical chapters, this resource is perhaps the best way to learn SQL at a more advanced level. Selling author of Oracle8i Advanced PL/SQL Programming, Oracle8 PL/SQL Programming, and Oracle9i PL/SQL Programming. Ron Hardman, OCP, is a Senior Technical Specialist with Oracle Worldwide Technical Support. Prior to joining Oracle Corporation, he was an Oracle Database Developer and Consultant. He is a frequent presenter on the topics of. DB2 UDB: App Programming - Advanced Advanced SQL Prg Techniques SYS-ED®COMPUTER EDUCATION TECHNIQUES, INC.(DB2/SQL AP PRG: ADV - 3.10) Ch 1: Page 1 1 FOR FETCH ONLY The FOR FETCH ONLY can be specified on the SELECT in a cursor. In this course, advance your skills in programming and problem solving with T-SQL. Learn how to build more advanced SQL queries, work with non-relational data and hierarchies, and do advanced reporting in SQL Server Reporting Services. Apply these concepts to real-world problems.
This advanced T-SQL course focuses on writing and tuning queries and programming with T-SQL in SQL Server 2012, 2014, 2016, 2017 and in Azure SQL Database. In this course you will learn the details and capabilities of T-SQL in the following areas: Logical Query Processing; Query Tuning (Internals and Index Tuning, including Columnstore Indexes, Query Store, New Cardinality Estimator, Temporary Tables, Sets vs. Cursors, Query Tuning with Query Revisions); Subqueries and Table Expressions (Derived Tables, CTEs, Views, Inline Table-Valued Functions), Recursive Queries, APPLY Operator, Joins and Set Operators; Aggregating, Pivoting and Windowing (including Aggregate, Ranking and Offset Window Functions), Custom Aggregates and STRING_AGG; TOP and OFFSET-FETCH; Data Modification; Working with Date and Time (including System-Versioned Temporal Tables); Programmable Objects (Dynamic SQL, User Defined Functions, Stored Procedures, Triggers, Transactions and Concurrency, Exception Handling); In-Memory OLTP.
Along the course you will learn how to use T-SQL to solve practical problems such as: Relational Division, Missing and Existing Ranges (Gaps and Islands), Separating Elements, Pivoting and Unpivoting, Ranking and Offset, Running Totals, Moving Averages, YTD, Custom Aggregations, TOP and OFFSET-FETCH Problems, Paging, Top N Per Group, Median, Data De-Duplication, Handling Sequences, Merging Data, Treatment of Temporal Intervals (Intersection, Max Concurrent, Packing), Dynamic Search Condition (aka Dynamic Filtering), Migrating On-Disk to Memory Optimized Data, and more.
You will learn how to tune your queries, how to develop efficient routines including user defined functions, stored procedures and triggers, work in multi-user environments with transactions and isolation levels, and use dynamic SQL securely and efficiently.
The course provides a dedicated module focusing on query tuning. The module covers internals and index tuning, including coverage of Columnstore data, index access methods, cardinality estimations, query store, temporary tables, set vs. cursors, and query tuning using query revisions. Moreover, query tuning is in the heart of this course and is incorporated in the different modules throughout the course.
With each querying/programming task the discussions will revolve around logical aspects, set-based vs. iterative/procedural programming and optimization of the solutions. The course workbook also contains a bonus self-study appendix on Graphs and Recursive queries. This appendix covers graphs, trees and hierarchies. It explains how to model and query such structures. It also covers the HIERARCHYID datatype, and the SQL Graph feature.
This course was developed by Itzik Ben-Gan, a mentor and one of the founders of SolidQ, author of award winning books about T-SQL, a columnist in SQL Server Pro magazine, a Microsoft Data Platform MVP since 1999, and a regular speaker in SQL Server related events.
Module 01: Logical Query Processing
Logical Query Processing Order
Logical Query Processing Example
Phase Details
Quiz
Module 02: Query Tuning
Internals and Index Tuning
Quiz
New Cardinality Estimator
Temporary Tables
Sets vs. Cursors
Query Tuning with Query Revisions
Module 03 - Multi-Table Queries
Subqueries, Table Expressions and Recursive Queries
APPLY Operator
Joins
Set Operators
LAB 03
Module 04: Grouping, Pivoting and Windowing
Window Functions
Pivoting and Unpivoting Data
Custom Aggregations
STRING_AGG
Grouping Sets (bonus self-study unit)
LAB 04
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Module 05: TOP and OFFSET-FETCH
TOP
OFFSET-FETCH
Top N Per Group
LAB 05
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Module 06: Data Modification
Inserting Data
Sequences
Deleting Data
Updating Data
Merging Data
The OUTPUT Clause
LAB 06
Module 07 - Working with Date and Time
Date and Time Datatypes
Date and Time Functions
Date and Time Challenges
System-Versioned Temporal Tables
Date and Time Querying Problems
LAB 07
Module 08: Programmable Objects
Dynamic SQL
User Defined Functions
Stored Procedures
Triggers
Transactions and Concurrency
Exception Handling
LAB 08
Module 09: In-Memory OLTP
Intro to In-Memory OLTP
Architecture
Memory Optimized Tables and Indexes
Natively Compiled Modules
Transaction Semantics
LAB 09
Appendix A: Graphs and Recursive Queries (Bonus Self-Study Material)
Graphs, Described
Materialized Paths
Custom
Using the HIERARCHYID datatype
Nested Sets
Nested Iterations
Loops
Recursive Queries
SQL Graph
LAB A
This course is intended for: • T-SQL Programmers, DBAs, BI Specialists, Data Scientists, Architects, and Analysts • Those that need to write or review T-SQL code in SQL Server 2012 -2017 and Azure SQL.
Before attending this course, it is recommended that students have the following skills:
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At least one year of T-SQL querying and programming experience in SQL Server or Azure SQL Database
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Upon completion of this course, the student will: • Understand logical query processing • Understand SQL Server’s internal data structures • Be able to analyze and tune query performance • Be able to analyze query execution plans • Describe the changes between the legacy and new cardinality estimators • Be able to solve complex querying and programming tasks • Think in terms of sets • Be able to compare set based and iterative solutions • Use window functions to improve your solutions • Handle date and time data including intervals • Create system-versioned temporal tables • Describe performance problems related to use of user defined functions and possible workarounds • Understand compilations, recompilations, plan caching and reuse • Understand transactions and concurrency aspects of database programming • Know how to handle hierarchical data and write recursive queries • Be able to migrate on-disk data to memory optimized data • Describe T-SQL enhancements in SQL Server 2012, 2014, 2016 and 2017