PhpTek Ten Things to do to make your MySQL servers Happier and Healthier

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Dave Stokes

MySQL Community Manager slideshare.net/davestokesDavid.Stokes@Oracle.Com @stoker

Ten Things to Ten Things to Make Your MySQL Make Your MySQL Servers Faster and HappierServers Faster and Happier

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.2

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Radiologists & Gorillas

83 Percent of Radiologists Didn’t Spot the Gorilla Hiding in This CT Scan

– Picture of gorilla hidden in last slide of ten lung scans.

– They wanted to see if the radiologists, focused on the telltale nodules, would be blind to the easily detectable and highly anomalous gorilla

– The gorilla was miniscule, but huge compared to the nodules. It was about the size of a box of matches-or 48 times the size of a typical nodule.

Gorillas responded

Databases Do Not Play Well With Others

Databases Systems are the colicky, nasty children of the software world with bad tempers and leaky noses that stubbornly insist on their way and will become disruptive at the most inopportune time, ruining man-years of work in an instant before demanding more

--Said by just about every software developer ever

So how do you get happy MySQL Servers?

This session for those who are not MySQL DBAs but are tasked to take care of MySQL Instances among other tasks. This will not make you a DBA any more than a 1 hour session on programming will make you a programmer.

How does a Database server work

Client

SELECT phone

FROM friends

WHERE name = ‘Joe’;

Server

How does a Database server work

Client

SELECT phone

FROM friends

WHERE name = ‘Joe’;

Server

PARSE

find Joe in friends table in memory

return phone

How does a Database server work

Client

SELECT phone

FROM friends

WHERE name = ‘Joe’;

. . .

Process phone data

Server

PARSE

find Joe in friends table in memory

return phone

How does a Database server work

Client

SELECT phone

FROM friends

WHERE name = ‘Joe’;

. . .

Process phone data

Server

PARSE

find Joe in friends table in memory

return phone

What was that about memory???

Thing to do #1 – Lots of memory

• Databases love data in memory

What if it is not in memory?

MySQL

Please give me the data from the city table

OS

What if it is not in memory?

MySQL

Please give me the data from the city table

OS

Get inode

What if it is not in memory?

MySQL

Please give me the data from the city table

OS

Get inode

Ask disk for data

What if it is not in memory?

MySQL

Please give me the data from the city table

OS

Get inode

Ask disk for data

Get data into buffer

What if it is not in memory?

MySQL

Please give me the data from the city table

Load data into memory

OS

Get inode

Ask disk for data

Get data into buffer

Hand buffer off

What if it is not in memory?

MySQL

Please give me the data from the city table

Load data into memory

OS

Get inode

Ask disk for data

Get data into buffer

Hand buffer off

Much longer than just reading from

memory

Rule #2 – Use Proper Hardware

Databases have to do unpredictable queries, random I/O, and sequential scans so slow I/O kills performance

Buffers

What happens when you read a file into memory

DISKDiskController

PageCache

UserBuffer

Buffers

Memory Lookup – 100 nanoseconds, 12GB/sec

DISKDiskController

PageCache

UserBuffer

Buffers

Memory Lookup – 100 nanoseconds, 12GB/secDISK seek – 10 milliseconds, 760MB/sec

DISKDiskController

PageCache

UserBuffer

Disk Reads

A disk read is 100,000 slower than reading memory● For comparison

– 100,000 minutes is about 69.5 days– 100,000 feet is about 19 miles– 100,000 kilometers is 15.7 times around

Earth's equator

SSD

Use standard RAID controller● SSD as writeback cache● Battery backed● $2.5/GB verses .075/GB● Very fast seek time● Density

Hardware recommendations1. Memory – lots of it, ecc

2. DISKs – more spindles, high speed, fast controllers, RAID 10, write back cache, and XFS/ZFS/ext4 not ext2/3

3. Write-through caches with battery backup units for disks must be monitored, and have life span much longer than planned outages. Set 'learning cycles' to off hours

4. CPUs, Core less important (spend money on Memory and IO)

Thing to do #3 –Understand Login/Privs

The default MySQL Login and Privilege system is a little … primitive.

Be Stingy with privs as they are hard to get back

Some tools may not give the privs you want – DROP PRIV is given by default by one popular admin tool

Quick Security Warning!

MySQL login security is primitive.● Database mysql has users table● 'jsmith'@'co.com' or 'fred'@'10.10.%'

– Matches host, then user, then password● Be explicit

● Proxy and Pluggable logins in MySQL 5.6● 'joe'@'10.10.%' may not be the same as

'joe'@'yourco.com' or 'joe'@'home.net'

MySQL privilege security● GRANT functions or access ● Can get Byzantine quickly● Use a GUI

MySQL Workbench – set up roles

Thing to do #4 – Use Current Release

Speed– MySQL 5.5 is 20% faster than 5.1

– MySQL 5.6 is ~15% faster than 5.5

Features– Better optimizer– Sub-queries– NoSQL/memcached– Online DDL

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MySQL 5.6: Scalability

● Users can fully utilize latest generations of hardware and OS● Scales as data volumes and users grow

Thing to do #5 – Monitor

You need 'something' monitoring your instances as you need a quick way to check status & record events

– MySQL Enterprise Monitor

– MySQL Workbench

– Nagios, Cacti, phpMyAdmin, etc

Turn on logging

1. Slow query log -- not all long running queries are bad

2. Log queries not using indexes

3. READ the logs!!!

4. Use monitoring software – MEM, Innotop, Cacti, Munin, Nagios, etc – and pay attention to it

Just because you can not see all of the problem does not mean the problem is not there!

Things to do #6 – Backups

Backups are usually some sort of disk snap shot or serializing data to a file

The more the better but you need to know steps to recover dropped table, lost databases, or mangled data.

Use data replication to a slave and then backup slave.

Be paranoid!!!!!

Thing to do #7 -- Replication

Replication for MySQL is the binary log for the master being copied to a slave. The slave then updates its copy of the data

Two types:1. Asynchronous – server does not check changes sent to

slave before proceeding

2. Semi Synchronous – server checks that slave received changes before proceeding

Replication – was messy!

MySQL 5.6 is multi threaded and has GTIDs

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Simple to track & compare replication across the cluster● Unique identifier for each transaction written to the Binlog

Automatically identify the most up-to-date slave for failover Deploy n-tier replication hierarchies

Master

GTID=123456

GTID=123456

GTID=123456 GTID=123456

MySQL 5.6: ReplicationGlobal Transaction Ids

Eliminates the need for complex 3rd party

solutions

Replication -- network

Network latency will affect MySQL replication. So plan network topology to minimize bandwidth competition with other systems/services.

Slaves do not need to be as fast as the master but try to keep things reasonably close

Do not have to replicate all tables/databases to all slaves. Cut down on traffic by replicating what is needed!

Writes & Reads Reads Reads

• Write to one master• Read from many slaves, easily add more as needed• Perfect for read/write intensive apps

Application

MySQL Replication

Load Balancer

MySQL DatabaseReplication Enables Scalability

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New option: binlog-row-image=minimal

Increases throughput for master and slave– Reduces Binlog size, memory & network bandwidth

Only replicates elements of the Row image that have changed

Primary Key Changed Columns

MySQL 5.6: ReplicationOptimized Row Base Replication

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Before:– Transaction Data: in tables

– Replication Info: in files

MySQL 5.6– Transaction Data: in tables

– Replication Info: in tables

Data

Position Info

CRASH!

Time

Data

Position InfoTime

Automatic recovery of a slave after a failure● Binlog and table data are transactionally

consistent Resumes replication without Dev/Op

intervention● Automatically rolling back replication to

last committed event

Atomic

Atomic

MySQL 5.6: Crash safe Slaves

Eliminates risk of data loss or corruption

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Master

#

Slave

#

MySQL 5.6: Replication Event Checksums

Eliminates risk of data loss or corruption

Ensures replicated data is correct, consistent and accessible

Detects corrupt replication events before they’re applied

– Returns an error

Protects entire replication path– Memory– Disk– Network– Bugs

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Thing to do #8 – Use InnoDB

● Transactional, speedy, crash safe, and where Oracle is concentrating development.

● Online DDL, SSD Optimizations, Dump/Restore warm buffer pool (great for cloud)

● NoSQL access via memcached API

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● Enables export/import of tables between running MySQL instances

MySQL 5.6: InnoDBTransportable Tablespaces

CREATE TABLE t(c1 INT) engine=InnoDB;

FLUSH TABLE t FOR EXPORT; -- quiesce the table and create the meta data file

$innodb_data_home_dir/test/t.cfg

UNLOCK TABLES;

Export:

Import:CREATE TABLE t(c1 INT) engine=InnoDB; -- if it doesn't already exist

ALTER TABLE t DISCARD TABLESPACE;

-- The user must stop all updates on the tables, prior to the IMPORT

ALTER TABLE t IMPORT TABLESPACE;

● Better Elasticity - Quickly spin up new instances to meet demand● Great for Cloud, Hosted, SaaS, On-premise deployments

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Same app can leverage: Key-value access to

InnoDB via familiar Memcached API

SQL for rich queries, JOINs, FKs, etc.

Fully transactional

MySQL 5.6: InnoDBNoSQL Key Value Access to InnoDB

● Up to 9x performance boost for updates

● Great for fast data ingestion in Big Data pipeline

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● Subquery Optimizations● File sort optimizations for most web use cases

● 4x better execution time – 40s to 10s Index Condition Pushdown

● 160x better execution time – 15s to 90ms Batched Key Access and Multi Range Read

● 280x better execution time – 2800s to 10s

MySQL 5.6: Optimizer

● Better complex query execution times ever growing data sets (Big Data!)● MEM + Query Analyzer key to utilizing full benefits of 5.6 Optimizer● MySQL Consultative Support provides guidance on configuration

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Things to do #9 – Indexes

Rough rule – look at columns used in joins or after a WHERE

Indexes are good

Without Index

DB needs to scan entire table or table scan

With Index

DB can go right to record

Indexes, the bad

• Overhead -- space, speed, maintenance (you can have too many)

• Not a panacea – does not cure all problems• Will not help if you need to perform a table

scan• Composite indexes can be tricky – YearMonthDay

usually better than DayMonthYear

Slide to check if audience is still awake

Thing to do #10 – Tuning

ASet innodb_buffer_pool_size to 70-80% of memory

Turn off query cache

Where to get help

Lots of Help Available● High Performance MySQL – Schwartz et al● MySQL Administrator's Bible – Cabral● Effective MySQL series – Bradford● OurSQL podcast● Forums.MySQL.Com

Planet.MySQL.Com

Local MySQL User Group

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Optimized for Web, Cloud-based, Embedded use cases Simplified, Pluggable architecture

– Maintainability, more extensible– More NoSQL options (HTTP, JSON, JavaScript, etc.)

Refactoring– Data Dictionary in InnoDB– Optimizer/Parser/Protocol

InnoDB – Optimized for SSD – GIS

Easy HA, Replication and Sharding

MySQL Database Development Priorities

MySQL Connect ConferenceMySQL Connect Conference

Sept 21st - 23rd in San Francisco

The Call for Proposals (CFP) for MySQL Connect 2013 just closed. Conference attendees will hear the best ideas from MySQL experts from around the globe: developers, visionaries, customers, partners. Book hotel early do to Americas Cup races in San Francisco.

MySQL Marinate!

Virtual self-study of MySQL through the Boston MySQL Users Group (

http://www.meetup.com/mysqlbos/)

http://www.meetup.com/Virtual-Tech-Self-Study/events/84103332/

Q&AQ&ADavid.Stokes@oracle.com - slideshare.net/davestokes