This MySQL Performance & Tuning course is designed
for Database Administrators, Application Developers and
Technical Consultants who need to monitor and tune the
performance of MySQL servers and databases. The
course provides practical experience in monitoring and
tuning MySQL servers and databases.
This MySQL Performance & Tuning course does not cover clustering (other than at overview level), replication or non-standard storage engines such as Falcon and PBXT.
Anyone who wishes to monitor and tune MySQL performance.
Delegates must have a working knowledge of MySQL Database Administration
Tuning overview, Resolving performance issues, Recommended approach to tuning, Items to evaluate, Where to look, Planning a monitoring routine, Building a new database for performance, Tuning an existing database, Setting suitable goals.
Administration tools, the information schema, performance-related SHOW commands, benchmarking tools, the MySQL performance schema, MonYog.
Hands on Obtaining performance information.
Normalisation, de-normalisation, naming conventions, load generation, stress testing and benchmarking tools, selecting data types, data types, character sets, choosing storage engines.
Hands on effects of design on performance.
Overview of statement tuning, identifying problem queries, the optimizer, explain, explain extended.
Hands on identifying problem queries and using explain.
Index overview, Types of index, Index tuning, Indexes and joins.
Hands on Indexes and performance.
Server configuration variables, server status variables, table cache, multi-threading, connection issues, query cache.
Hands on setting and interpreting server variables and caching.
Types of locking, locking and storage engines, effects of locking on performance.
Hands on locking and performance.
Transactions, crash recovery, locking, monitoring InnoDB, caches and buffers, configuring data files, configuring the log files.
Hands on InnoDB configuration and performance.
MyISAM engine, merge engine, archive engine, memory engine, blackhole engine, CSV engine, the Spider engine, the ColumnStore engine, the MyRocks engine, mixing sorage engines.
Hands on storage engine performance.
Advantages of performance, advantages of clustering, performance issues and clustering, the NDBCluster engine, the Galera cluster, the Percona XtraDB cluster, MySQL InnoDB cluster, the federated engine, the federatedX engine, overview of other high availability techniques. NOSQL and Mencached overview.
SQL statements versus delimited data, parameters affecting dump performance, parameters affecting load performance.
Hands on dump and load performance.
Partitioned tables concepts, range partitioning, hash partitioning, key partitioning, list partitioning, composite partitioning or subpartitioning, partition pruning.
Hands on partitioned table performance.
"Excellent presentation - very good course structure."
This structured course uses Instructor Led Training to provide the best possible learning experience. Small class sizes ensure students benefit from our engaging and interactive style of teaching with delegates encouraged to ask questions throughout the course. Quizzes follow each major section allowing checking of learning. Hands on sessions are used throughout to allow delegates to consolidate their new skills.