Course 10987-C: Performance Tuning and Optimizing SQL Databases

Microsoft

Course 10987-C: Performance Tuning and Optimizing SQL Databases

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This four-day instructor-led course provides students who manage and maintain SQL Server databases with the knowledge and skills to performance tune and optimize their databases.

Audience Profile

The primary audience for this course is individuals who administer and maintain SQL Server databases and are responsible for optimal performance of SQL Server instances that they manage. These individuals also write queries against data and need to ensure optimal execution performance of the workloads. The secondary audiences for this course are individuals who develop applications that deliver content from SQL Server databases.

Prerequisites

Course outline

Module 1: SQL Server Architecture, Scheduling, and Waits

Module Overview

This module covers high level architectural overview of SQL Server and its various components. It dives deep into SQL Server execution model, waits and queues.

Lessons

SQL Server Components and SQL OS
Windows Scheduling vs SQL Scheduling
Waits and Queues

Lab Sessions

SQL Server Architecture, Scheduling, and Waits

Lab Lessons

Recording CPU and NUMA Configuration
Monitoring Schedulers and User Requests
Monitoring Waiting Tasks and Recording Wait Statistics

After completing this module, students will be able to:

Describe the SQL Server components and SQL OS.
Describe the differences between Windows Scheduling and SQL scheduling.
Describe waits and queues.

Module 2: SQL Server I/O

Module Overview

This module covers core I/O concepts, Storage Area Networks and performance testing. It focuses on SQL Server I/O operations and how to test storage performance.

Lessons

Core Concepts
Storage Solutions
I/O Setup and Testing

Lab Sessions

Testing Storage Performance

Lab Lessons

Configuring and Executing Diskspd

After completing this module, students will be able to:

Describe the core concepts of SQL I/O.
Describe storage solutions.
Setup and test I/O.

Module 3: Database Structures

Module Overview

This module covers Database Structures, Data File and TempDB Internals. It focuses on architectural concepts and best practices related to data files for user databases and TempDB.

Lessons

Database Structure Internals
Data File Internals
TempDB Internals

Lab Sessions

Database Structures

Lab Lessons

Exploring Page Allocation Structure
Configuring Instant File Initialization
Reconfiguring tempdb Data Files

After completing this module, students will be able to:

Describe the internal setup of database structures.
Describe the internal setup of data files.
Describe the internal setup of TempDB.

Module 4: SQL Server Memory

Module Overview

This module covers Windows and SQL Server Memory internals. It focuses on architectural concepts and best practices related to SQL Server Memory Configuration.

Lessons

Windows Memory
SQL Server Memory
In-Memory OLTP

Lab Sessions

SQL Server Memory

Lab Lessons

Reconfigure SQL Server Memory

After completing this module, students will be able to:

Describe the components of Windows memory.
Describe the components of SQL Server memory.
Describe In-Memory OLTP.

Module 5: SQL Server Concurrency

Module Overview

This module covers Transactions and Locking Internals. It focuses on architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking.

Lessons

Concurrency and Transactions
Locking Internals

Lab Sessions

Concurrency and Transactions

Lab Lessons

Implement Snapshot Isolation
Implement Partition Level Locking

After completing this module, students will be able to:

Explain concurrency and transactions.
Describe locking.

Module 6: Statistics and Index Internals

Module Overview

This module covers Statistics and Index Internals. It focuses on architectural concepts and best practices related to Statistics and Indexes.

Lessons

Statistics Internals and Cardinality Estimation
Index Internals
Columnstore Indexes

Lab Sessions

Statistics and index Internals

Lab Lessons

Fixing Cardinality Estimation Errors
Improve Indexing
Using Columnstore Indexes

After completing this module, students will be able to:

Describe statistics internals.
Explain cardinality estimation.
Describe why you would use Columnstore indexes and be able to implement one.

Module 7: Query Execution and Query Plan Analysis

Module Overview

This module covers Query Execution and Query Plan Analysis. It focuses on architectural concepts of the Optimizer and how to identify and fix query plan issues.

Lessons

Query execution and optimizer internals
Query execution plans
Analyzing query execution plans
Adaptive query processing

Lab Sessions

Query execution and query plan analysis

Lab Lessons

Improving SELECT Performance for Historical Marketing Campaign Data
Improving Stored Procedure Performance

After completing this module, students will be able to:

Describe query execution and optimizer.
Analyze query plans and resolve common issues.

Module 8: Plan Caching and Recompilation

Module Overview

This module covers Plan Caching and Recompilation. It focuses on architectural concepts, troubleshooting scenarios and best practices related to Plan Cache.

Lessons

Plan cache internals
Troubleshooting plan cache issues
Automatic tuning
Query store

Lab Sessions

Plan caching and recompilation

Lab Lessons

Troubleshooting with the Plan Cache
Working with the Query Store

After completing this module, students will be able to:

Describe plan cache.
Troubleshoot plan cache issues.
Describe query store and why you would use it.

Module 9: Extended Events

Module Overview

This module covers Extended Events. It focuses on architectural concepts, troubleshooting strategy and usage scenarios for Extended Events.

Lessons

Extended events core concepts
Working with extended events

Lab Sessions

Extended events

Lab Lessons

Using the system_health Extended Events Session
Tracking Page Splits Using Extended Events

After completing this module, students will be able to:

Describe the core concepts of extended events.
Implement extended events.

Module 10: Monitoring, Tracing, and Baselining

Module Overview

This module covers tools and techniques to monitor, trace and baseline SQL Server performance data. It focuses on data collection strategy and techniques to analyze collected data.

Lessons

Monitoring and tracing
Baselining and benchmarking

Lab Sessions

Monitoring, Tracing and Baselining

Lab Lessons

Collecting and Analyzing Data Using Extended Events
Implementing Baseline Methodology

After completing this module, students will be able to:

Describe various options for monitoring and tracing.
Describe various options for benchmarking and baselining.

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