Developing High-Performance Microsoft SQL Server ® Databases

London (NW1)

10/05/10

£

2,145

London (NW1)

06/09/10

£

2,145

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Course Overview

High-availability database systems offer timely access to business-critical data. Microsoft SQL Server offers powerful features to maintain these vital systems. In this course, you acquire an in-depth knowledge of SQL Server's essential tools-the storage engine, lock manager and query optimiser. Through hands-on exercises, you gain the skills to implement a high-performance SQL Server database solution.

Audience

Those responsible for increasing the performance and efficiency of SQL Server databases. Knowledge of SQL at the level of Course 532, "SQL Server Transact-SQL Programming", and a familiarity with logical database design is assumed.

Skills Gained

You Will Learn How To

• Design and implement high-performance databases for SQL Server
• Create indexes that optimise different types of queries
• Design transactions that maximise concurrency and minimise contention
• Interpret the data access plans produced by the query optimiser
• Minimise I/O by designing efficient physical data structures
• Analyse and cure performance problems using SQL Server's tools

Course Outline

Fundamental Concepts

Analysing performance

• Selecting an appropriate monitoring tool
• Investigating plans with SHOWPLAN_ALL
• Interpreting STATISTICS output
• Pinpointing performance problems with aggregated Profiler data

Developing a monitoring plan

• Establishing a performance baseline
• Tracking changes over time
• Creating server-side Profiler traces
• Monitoring SQL Server and the operating system with System Monitor

Managing Storage

Database architecture

• Page and extent allocation
• Controlling data placement with file groups

Defining tables

• Selecting the correct data types
• Specifying text and image locations
• Examining internal page structures

Creating and managing indexes

• Clustered vs. non-clustered
• Defining indexed views
• Analysing and repairing fragmentation

Memory and Locking

Managing memory

• Buffer pool
• Buffer manager
• Lazywriter
• Checkpointing
• Log writer

Designing transactions

• Consistency vs. concurrency
• Investigating lock types and their compatibility
• Choosing isolation levels
• Designing transactions to limit lock duration
• Resolving contention problems
• Handling deadlock
• Implementing row versioning

Optimising Queries

Query optimiser architecture

• Phases
• Strategies
• Data access plans
• Auto-parameterisation
• Avoiding continuous recompilation of dynamic queries

Maintaining up-to-date statistics

• Index vs. column
• Automatic vs. manual
• Full-scan vs. sample

Distinguishing among query types

• Point
• Multipoint
• Range
• Prefix match
• Extremal
• Ordering
• Grouping
• Join

Designing effective indexes

• Relating indexes to query types
• Providing alternate access paths
• Improving join performance
• Increasing sort efficiency
• Reducing I/O with covering indexes
• Implementing sparse indexes
• Getting design advice from built-in tuning tools

Designing a Physical Data Model

Storing summarised data for faster retrieval

• Defining roll-up tables
• Materialising aggregated data with indexed views

Minimising response time by introducing redundant data

• Maintaining redundant data with triggers
• Enhancing performance with surrogate keys
• Creating a read-only query database

Solving performance problems by redefining the database structure

• Horizontal vs. vertical partitioning
• Partitioning tables
• Defining partitioned views

Managing diverse workloads

• Creating resource pools and workload groups
• Developing a classifier function