MySQL High Performance Tuning Guide

2h 49m 22s
English
Paid
October 14, 2024

Tips for Tuning MySQL like a Pro. Learn how to prevent MySQL performance problems. Understand how MySQL optimizes and executes queries.

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MySQL Architecture

  • View the steps involved in Query Execution
  • How the Cient/Server Protocol affects MySQL
  • Understand how the Query Optimizer does its job
  • How the Storage Engine Layer makes MySQL unique

Finding Candidates for Query Optimizations

  • Making use of The Performance Schema, which is a gold mine for spotting querying for optimization because it allows us to measure where the time goes
  • Finding the few queries that are responsible for most of the load on the system. Checking to the top 1000 queries it’s usually not worth your time to optimize.
  • How to find the relevant information out of the plethora of performance views and metrics available in MySQL
  • Understand why UPDATE and DELETE statements are also reads even though they are primarily write statements. This will have an impact on I/O, and therefore to the response time.

Analyzing the Queries

  • Understand why MySQL creates a query plan, before each query request
  • How to read query plans, and understand how each of the underlying node types works on MySQL
  • A series of examples, to show how the EXPLAIN output can be used, to identify where MySQL spends time on your query, and why
  • Which are the important pieces of information, to look for in order to spot performance issues

The Clustered Index and Choosing the Primary Key

  • When we work with index-organized tables, as the ones in MySQL, the choice of the primary index, is very important.
  • We'll see how the primary key, can impact the amount of random, or sequential I/O, the size of secondary indexes, and how many pages need to be read into the buffer pool.
  • We're going to understand, why an optimal primary key, with respect to the clustered index, is as small (in bytes) as possible, keeps increasing monotonically, and groups the rows we query frequently, and within a short distance of each other.

Indexing for performance

  • Which are the main function of an index?
  • We'll see exactly which tables are in need for an index, and which tables are better without one.
  • We'll check how MySQL relies on statistics to choose the best index, and how we can help it to make better decisions.

Composite Indexes

  • Common mistakes of composite indexes
  • How to decide the order of columns for multicolumn indexes
  • Be able to reason through how indexes work, and to choose them based on that understanding, not on rules of thumb
  • Which are the use-cases, that make Redundant Indexes useful, and when to avoid them.
  • Work on some benchmarks, to check the actual performance in numbers.

MySQL Server Configurations

  • Check how we should approach MySQL configuration changes by considering some best practices, so that we can successfully tune MySQL.
  • Which are the three options that MySQL is most likely to benefit, from non-default values, and also how to set them.
  • Go through an overview of the data lifecycle in InnoDB, so that we have background knowledge when making configuration changes.
  • Adjust parameters that are important for certain use-cases, for example, buffer pool instances for high concurrent workloads, and how to make use of parallel execution for certain queries.

MySQL Transactions and Locks

  • Transactions are very important to ensure data integrity but when used wrong they can cause severe performance issues.
  • Get an overview of why locks are needed and some ways to reduce their impact.
  • How indexes, splitting the transaction and the isolation levels can help to reduce the number of locks
  • Monitoring options and what reporting tables to check to spot lock problems.

Introduction to Scaling MySQL

  • What it means to scale MySQL and, we'll walk through the different axes where we may need to scale.
  • Understand how to scale different kinds of loads
  • Replication and why we need to make use of Read-Pools, Health Checks, and Service Discovery
  • Which are the main concerns and pitfalls when deciding to Shard the database
  • How to partition data in MySQL
  • Which are the use-cases and advantages for using a Queue
  • Fundamental Concepts for Scaling Writes with Sharding

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# Title Duration
1 Query Execution Basics 02:02
2 Utility Layer 02:33
3 SQL Layer 04:26
4 Storage Engine Layer 02:03
5 Conclusions 00:30
6 Making use of Performance Schema 04:11
7 Top 10 Time-Consuming Queries 03:33
8 Why Are Queries Slow? 01:30
9 Finding Candidate Queries for Optimization 02:37
10 Table I/O and File I/O for Selects 01:45
11 Table I/O and File I/O for Updates and Deletes 03:34
12 The Error Summary Tables 01:41
13 Conclusions 00:37
14 How does the Optimiser work? 02:12
15 EXPLAIN basics 01:34
16 Example 1: Single Table, Table Scan 02:36
17 EXPLAIN ANALYZE 01:13
18 Example 2: Single Table, Index Access 00:43
19 Example 3: Multicolumn Index 00:59
20 Example 4: Two Tables With Subquery And Sorting 01:55
21 Spotting jumps in runtime 04:42
22 Hot and cold cache behaviour 00:51
23 Conclusions 00:39
24 Section Overview 00:53
25 The Clustered Indexes 01:02
26 Choosing a Good Primary Key 03:44
27 Use Case: Inserting rows in primary key order with InnoDB 05:04
28 Optimal Primary Key in Practice 01:42
29 Introduction 04:37
30 Why add a Secondary Index? 03:47
31 When should you Add or Remove Indexes? 02:14
32 Why Index Statistics are Important? 02:07
33 How to help MySQL make better decisions? 04:22
34 Covering Indexes 03:38
35 Motivation 01:52
36 Columns Order 02:00
37 Composite Index Hands-on 05:07
38 Using Redundant Indexes 04:53
39 Composite Indexes Extra Remarks 01:52
40 Conclusions 00:31
41 Configuration Best Practices 04:44
42 InnoDB Overview 02:56
43 Adjusting the Buffer Pool Size 03:49
44 Adding more Buffer Pool Instances 02:06
45 Why Dumping the Buffer Pool? 01:09
46 Tuning Flushing Pages Process 02:47
47 Tuning Redo Log Buffer 01:51
48 Tuning Redo Log Files 03:03
49 Parallel Query Execution 01:29
50 Adjusting the Query Buffers 02:00
51 Conclusions 00:56
52 Impact of Transactions 01:07
53 Managing Locks 03:45
54 Purpose of Undo Logs 02:22
55 Reduce Locking - Transaction size and age 02:02
56 Reduce Locking - Indexes 01:48
57 Reduce Locking - Transaction Isolation Levels 03:51
58 Monitoring Transactions 01:46
59 Monitoring Locks 00:48
60 Conclusions 00:58
61 Scaling MySQL Intro 00:50
62 Read Versus Write Loads 02:31
63 Replication - Scaling Reads with Read Pools 03:38
64 Replication - Service Discovery for Read Pools 02:23
65 Queuing 02:36
66 Sharding Introduction 03:28
67 Sharding Concerns 04:06
68 How to Partition Data in MySQL 03:16
69 Multiple Partitioning Keys 01:57
70 Querying Across Shards 01:29

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