Tx lf propercareandfeedmysql

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.2
Dave Stokes
MySQL Community Manager
slideshare.net/davestokes
David.Stokes@Oracle.Com
@stoker
The Proper CareThe Proper Care
and Feeding of aand Feeding of a
MySQL DatabaseMySQL Database

The following is intended to outline our general product direction. It is
intended for information purposes only, and may not be incorporated
into any contract. It is not a commitment to deliver any material, code,
or functionality, and should not be relied upon in making purchasing
decision. The development, release, and timing of any features or
functionality described for Oracle’s products remains at the sole
discretion of Oracle.
Safe Harbor Statement

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

Client
SELECT phone
FROM friends
Server
PARSE
find Joe in friends
table in memory
return phone

Client
SELECT phone
FROM friends
. . .
Process phone data
Server
PARSE
find Joe in friends
table in memory
return phone

Client
SELECT phone
FROM friends
. . .
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

MySQL
Please give me the
data from the city
table
OS
Get inode

MySQL
Please give me the
data from the city
table
OS
Get inode
Ask disk for data

MySQL
Please give me the
data from the city
table
OS
Get inode
Ask disk for data
Get data into buffer

MySQL
Please give me the
data from the city
table
Load data into memory
OS
Get inode
Ask disk for data
Hand buffer off

MySQL
Please give me the
data from the city
table
Load data into memory
OS
Get inode
Ask disk for data
Hand buffer off
Much longer than
just reading from
memory

Thing to do #2 – Use Proper
Hardware
Databases have to do unpredictable queries,
random I/O, and sequential scans so slow I/O
kills performance. The ol' Hand-me-down Dell
Opteron that was great for Windows ME that
worked 'okay' in development will prove
frustrating in production

Buffers
What happens when you read a file into memory
DISK
Disk
Controller
Page
Cache
User
Buffer

Buffers
Memory Lookup – 100 nanoseconds, 12GB/sec
DISK
Disk
Controller
Page
Cache
User
Buffer

Buffers
Memory Lookup – 100 nanoseconds, 12GB/sec
DISK seek – 10 milliseconds, 760MB/sec
DISK
Disk
Controller
Page
Cache
User
Buffer

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 recommendations
1. 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

Things to do #4 – Use MySQL 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

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

 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: Replication
Global 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 Database
Replication Enables Scalability

 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: Replication
Optimized Row Base Replication

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 Info
Time
 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

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

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

●
Enables export/import of tables between running MySQL instances
MySQL 5.6: InnoDB
Transportable 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

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: InnoDB
NoSQL Key Value Access to InnoDB
●
Up to 9x performance
boost for updates
●
Great for fast data
ingestion in Big Data
pipeline

●
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

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
Set 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

 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&A
David.Stokes@oracle.com - slideshare.net/davestokes

Tx lf propercareandfeedmysql

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