SlideShare a Scribd company logo

DPC18 - OMG MySQL 8.0 is out! are we there yet?

Sick and tired of “X technology is only good for starting out; after you do, move to Y”? Good news: you don’t need to move away, you just need to get in further! In this talk, you’ll learn about improvements in the newest version of the most used database in the world. What are Window Functions? How do you use CTEs? How can the new default encoding help me? We’ll also talk about new JSON features and extended UUID support! Be prepared to drink from the firehose of what’s new and awesome about MySQL 8.0.

1 of 55
Download to read offline
OMG MySQL 8.0 is out! Are
we there yet?
Gabriela Ferrara
@gabidavila
http://gabriela.io/feedback | https://joind.in/talk/2e783
@gabidavila
Gabi


Developer Advocate @ Google
@gabidavila
MySQL 8.0.11
@gabidavila
Are we there yet?
🤔
● Created to handle from up
to 10 to 100M rows or
around 100MB/table
● Now supports terabyte-
sized databases
● Supports SQL standards as
new as SQL 2016
● But... some stuff from SQL
2003 just became available
(Window Functions, CTEs)
● What can we go from here?
@gabidavila
What Happened to 6.0 and 7.0?
@gabidavila
Topics
● New Defaults & Variables
● InnoDB Performance
● Window Functions
● CTE - Common Table Expressions
Ad

Recommended

php[tek] - Making the most out of MySQL
php[tek] - Making the most out of MySQLphp[tek] - Making the most out of MySQL
php[tek] - Making the most out of MySQLGabriela Ferrara
 
DPC18 - Making the most out of MySQL
DPC18 - Making the most out of MySQLDPC18 - Making the most out of MySQL
DPC18 - Making the most out of MySQLGabriela Ferrara
 
Diving into MySQL 5.7: advanced features
Diving into MySQL 5.7: advanced featuresDiving into MySQL 5.7: advanced features
Diving into MySQL 5.7: advanced featuresGabriela Ferrara
 
MySQL 8.0: not only good, it’s GREAT! - PHP UK 2019
MySQL 8.0: not only good, it’s GREAT! - PHP UK 2019MySQL 8.0: not only good, it’s GREAT! - PHP UK 2019
MySQL 8.0: not only good, it’s GREAT! - PHP UK 2019Gabriela Ferrara
 
0888 learning-mysql
0888 learning-mysql0888 learning-mysql
0888 learning-mysqlsabir18
 
Introduction into MySQL Query Tuning for Dev[Op]s
Introduction into MySQL Query Tuning for Dev[Op]sIntroduction into MySQL Query Tuning for Dev[Op]s
Introduction into MySQL Query Tuning for Dev[Op]sSveta Smirnova
 
Data Love Conference - Window Functions for Database Analytics
Data Love Conference - Window Functions for Database AnalyticsData Love Conference - Window Functions for Database Analytics
Data Love Conference - Window Functions for Database AnalyticsDave Stokes
 
Laracon EU 2018: OMG MySQL 8.0 is out! are we there yet?
Laracon EU 2018: OMG MySQL 8.0 is out! are we there yet?Laracon EU 2018: OMG MySQL 8.0 is out! are we there yet?
Laracon EU 2018: OMG MySQL 8.0 is out! are we there yet?Gabriela Ferrara
 

More Related Content

What's hot

Modern solutions for modern database load: improvements in the latest MariaDB...
Modern solutions for modern database load: improvements in the latest MariaDB...Modern solutions for modern database load: improvements in the latest MariaDB...
Modern solutions for modern database load: improvements in the latest MariaDB...Sveta Smirnova
 
Optimizer Histograms: When they Help and When Do Not?
Optimizer Histograms: When they Help and When Do Not?Optimizer Histograms: When they Help and When Do Not?
Optimizer Histograms: When they Help and When Do Not?Sveta Smirnova
 
Using JSON with MariaDB and MySQL
Using JSON with MariaDB and MySQLUsing JSON with MariaDB and MySQL
Using JSON with MariaDB and MySQLAnders Karlsson
 
BGOUG15: JSON support in MySQL 5.7
BGOUG15: JSON support in MySQL 5.7BGOUG15: JSON support in MySQL 5.7
BGOUG15: JSON support in MySQL 5.7Georgi Kodinov
 
Common Table Expressions in MariaDB 10.2
Common Table Expressions in MariaDB 10.2Common Table Expressions in MariaDB 10.2
Common Table Expressions in MariaDB 10.2Sergey Petrunya
 
Billion Goods in Few Categories: how Histograms Save a Life?
Billion Goods in Few Categories: how Histograms Save a Life?Billion Goods in Few Categories: how Histograms Save a Life?
Billion Goods in Few Categories: how Histograms Save a Life?Sveta Smirnova
 
MySQL 8.0 New Features -- September 27th presentation for Open Source Summit
MySQL 8.0 New Features -- September 27th presentation for Open Source SummitMySQL 8.0 New Features -- September 27th presentation for Open Source Summit
MySQL 8.0 New Features -- September 27th presentation for Open Source SummitDave Stokes
 
Introduction to MySQL Query Tuning for Dev[Op]s
Introduction to MySQL Query Tuning for Dev[Op]sIntroduction to MySQL Query Tuning for Dev[Op]s
Introduction to MySQL Query Tuning for Dev[Op]sSveta Smirnova
 
Advanced MySQL Query Tuning
Advanced MySQL Query TuningAdvanced MySQL Query Tuning
Advanced MySQL Query TuningAlexander Rubin
 
Cassandra nice use cases and worst anti patterns no sql-matters barcelona
Cassandra nice use cases and worst anti patterns no sql-matters barcelonaCassandra nice use cases and worst anti patterns no sql-matters barcelona
Cassandra nice use cases and worst anti patterns no sql-matters barcelonaDuyhai Doan
 
Cassandra Materialized Views
Cassandra Materialized ViewsCassandra Materialized Views
Cassandra Materialized ViewsCarl Yeksigian
 
A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...
A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...
A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...Sveta Smirnova
 
The world's next top data model
The world's next top data modelThe world's next top data model
The world's next top data modelPatrick McFadin
 
Cassandra 3 new features 2016
Cassandra 3 new features 2016Cassandra 3 new features 2016
Cassandra 3 new features 2016Duyhai Doan
 
Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013
Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013
Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013Jaime Crespo
 
Standard SQL features where PostgreSQL beats its competitors
Standard SQL features where PostgreSQL beats its competitorsStandard SQL features where PostgreSQL beats its competitors
Standard SQL features where PostgreSQL beats its competitorsMarkus Winand
 

What's hot (20)

Modern solutions for modern database load: improvements in the latest MariaDB...
Modern solutions for modern database load: improvements in the latest MariaDB...Modern solutions for modern database load: improvements in the latest MariaDB...
Modern solutions for modern database load: improvements in the latest MariaDB...
 
Optimizer Histograms: When they Help and When Do Not?
Optimizer Histograms: When they Help and When Do Not?Optimizer Histograms: When they Help and When Do Not?
Optimizer Histograms: When they Help and When Do Not?
 
Using JSON with MariaDB and MySQL
Using JSON with MariaDB and MySQLUsing JSON with MariaDB and MySQL
Using JSON with MariaDB and MySQL
 
BGOUG15: JSON support in MySQL 5.7
BGOUG15: JSON support in MySQL 5.7BGOUG15: JSON support in MySQL 5.7
BGOUG15: JSON support in MySQL 5.7
 
Common Table Expressions in MariaDB 10.2
Common Table Expressions in MariaDB 10.2Common Table Expressions in MariaDB 10.2
Common Table Expressions in MariaDB 10.2
 
Billion Goods in Few Categories: how Histograms Save a Life?
Billion Goods in Few Categories: how Histograms Save a Life?Billion Goods in Few Categories: how Histograms Save a Life?
Billion Goods in Few Categories: how Histograms Save a Life?
 
MySQL 8.0 New Features -- September 27th presentation for Open Source Summit
MySQL 8.0 New Features -- September 27th presentation for Open Source SummitMySQL 8.0 New Features -- September 27th presentation for Open Source Summit
MySQL 8.0 New Features -- September 27th presentation for Open Source Summit
 
Mentor Your Indexes
Mentor Your IndexesMentor Your Indexes
Mentor Your Indexes
 
Introduction to MySQL Query Tuning for Dev[Op]s
Introduction to MySQL Query Tuning for Dev[Op]sIntroduction to MySQL Query Tuning for Dev[Op]s
Introduction to MySQL Query Tuning for Dev[Op]s
 
Advanced MySQL Query Tuning
Advanced MySQL Query TuningAdvanced MySQL Query Tuning
Advanced MySQL Query Tuning
 
Sql query patterns, optimized
Sql query patterns, optimizedSql query patterns, optimized
Sql query patterns, optimized
 
Cassandra nice use cases and worst anti patterns no sql-matters barcelona
Cassandra nice use cases and worst anti patterns no sql-matters barcelonaCassandra nice use cases and worst anti patterns no sql-matters barcelona
Cassandra nice use cases and worst anti patterns no sql-matters barcelona
 
Linq
LinqLinq
Linq
 
Load Data Fast!
Load Data Fast!Load Data Fast!
Load Data Fast!
 
Cassandra Materialized Views
Cassandra Materialized ViewsCassandra Materialized Views
Cassandra Materialized Views
 
A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...
A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...
A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...
 
The world's next top data model
The world's next top data modelThe world's next top data model
The world's next top data model
 
Cassandra 3 new features 2016
Cassandra 3 new features 2016Cassandra 3 new features 2016
Cassandra 3 new features 2016
 
Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013
Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013
Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013
 
Standard SQL features where PostgreSQL beats its competitors
Standard SQL features where PostgreSQL beats its competitorsStandard SQL features where PostgreSQL beats its competitors
Standard SQL features where PostgreSQL beats its competitors
 

Similar to DPC18 - OMG MySQL 8.0 is out! are we there yet?

GRONINGEN PHP - MySQL 8.0 , not only good, great
GRONINGEN PHP - MySQL 8.0 , not only good, greatGRONINGEN PHP - MySQL 8.0 , not only good, great
GRONINGEN PHP - MySQL 8.0 , not only good, greatGabriela Ferrara
 
介绍 Percona 服务器 XtraDB 和 Xtrabackup
介绍 Percona 服务器 XtraDB 和 Xtrabackup介绍 Percona 服务器 XtraDB 和 Xtrabackup
介绍 Percona 服务器 XtraDB 和 XtrabackupYUCHENG HU
 
How Database Convergence Impacts the Coming Decades of Data Management
How Database Convergence Impacts the Coming Decades of Data ManagementHow Database Convergence Impacts the Coming Decades of Data Management
How Database Convergence Impacts the Coming Decades of Data ManagementSingleStore
 
MySQL 8.0 Preview: What Is Coming?
MySQL 8.0 Preview: What Is Coming?MySQL 8.0 Preview: What Is Coming?
MySQL 8.0 Preview: What Is Coming?Gabriela Ferrara
 
Developers' mDay 2017. - Bogdan Kecman Oracle
Developers' mDay 2017. - Bogdan Kecman OracleDevelopers' mDay 2017. - Bogdan Kecman Oracle
Developers' mDay 2017. - Bogdan Kecman OraclemCloud
 
Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0
Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0
Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0mCloud
 
MySQL User Group NL - MySQL 8
MySQL User Group NL - MySQL 8MySQL User Group NL - MySQL 8
MySQL User Group NL - MySQL 8Frederic Descamps
 
Advanced MariaDB features that developers love.pdf
Advanced MariaDB features that developers love.pdfAdvanced MariaDB features that developers love.pdf
Advanced MariaDB features that developers love.pdfFederico Razzoli
 
Beyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeBeyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeWim Godden
 
Beyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeBeyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeWim Godden
 
PostgreSQL 9.5 - Major Features
PostgreSQL 9.5 - Major FeaturesPostgreSQL 9.5 - Major Features
PostgreSQL 9.5 - Major FeaturesInMobi Technology
 
Beyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeBeyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeWim Godden
 
PHPDay 2019 - MySQL 8, not only good, great!
PHPDay 2019 - MySQL 8, not only good, great!PHPDay 2019 - MySQL 8, not only good, great!
PHPDay 2019 - MySQL 8, not only good, great!Gabriela Ferrara
 
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB plc
 
Big Data Analytics with MariaDB ColumnStore
Big Data Analytics with MariaDB ColumnStoreBig Data Analytics with MariaDB ColumnStore
Big Data Analytics with MariaDB ColumnStoreMariaDB plc
 
SDPHP - Percona Toolkit (It's Basically Magic)
SDPHP - Percona Toolkit (It's Basically Magic)SDPHP - Percona Toolkit (It's Basically Magic)
SDPHP - Percona Toolkit (It's Basically Magic)Robert Swisher
 
MariaDB 10.2 New Features
MariaDB 10.2 New FeaturesMariaDB 10.2 New Features
MariaDB 10.2 New FeaturesFromDual GmbH
 
MySQL 8.0.18 - New Features Summary
MySQL 8.0.18 - New Features SummaryMySQL 8.0.18 - New Features Summary
MySQL 8.0.18 - New Features SummaryOlivier DASINI
 
2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗
2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗
2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗YUCHENG HU
 

Similar to DPC18 - OMG MySQL 8.0 is out! are we there yet? (20)

GRONINGEN PHP - MySQL 8.0 , not only good, great
GRONINGEN PHP - MySQL 8.0 , not only good, greatGRONINGEN PHP - MySQL 8.0 , not only good, great
GRONINGEN PHP - MySQL 8.0 , not only good, great
 
介绍 Percona 服务器 XtraDB 和 Xtrabackup
介绍 Percona 服务器 XtraDB 和 Xtrabackup介绍 Percona 服务器 XtraDB 和 Xtrabackup
介绍 Percona 服务器 XtraDB 和 Xtrabackup
 
MySQLinsanity
MySQLinsanityMySQLinsanity
MySQLinsanity
 
How Database Convergence Impacts the Coming Decades of Data Management
How Database Convergence Impacts the Coming Decades of Data ManagementHow Database Convergence Impacts the Coming Decades of Data Management
How Database Convergence Impacts the Coming Decades of Data Management
 
MySQL 8.0 Preview: What Is Coming?
MySQL 8.0 Preview: What Is Coming?MySQL 8.0 Preview: What Is Coming?
MySQL 8.0 Preview: What Is Coming?
 
Developers' mDay 2017. - Bogdan Kecman Oracle
Developers' mDay 2017. - Bogdan Kecman OracleDevelopers' mDay 2017. - Bogdan Kecman Oracle
Developers' mDay 2017. - Bogdan Kecman Oracle
 
Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0
Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0
Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0
 
MySQL User Group NL - MySQL 8
MySQL User Group NL - MySQL 8MySQL User Group NL - MySQL 8
MySQL User Group NL - MySQL 8
 
Advanced MariaDB features that developers love.pdf
Advanced MariaDB features that developers love.pdfAdvanced MariaDB features that developers love.pdf
Advanced MariaDB features that developers love.pdf
 
Beyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeBeyond php - it's not (just) about the code
Beyond php - it's not (just) about the code
 
Beyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeBeyond php - it's not (just) about the code
Beyond php - it's not (just) about the code
 
PostgreSQL 9.5 - Major Features
PostgreSQL 9.5 - Major FeaturesPostgreSQL 9.5 - Major Features
PostgreSQL 9.5 - Major Features
 
Beyond php - it's not (just) about the code
Beyond php - it's not (just) about the codeBeyond php - it's not (just) about the code
Beyond php - it's not (just) about the code
 
PHPDay 2019 - MySQL 8, not only good, great!
PHPDay 2019 - MySQL 8, not only good, great!PHPDay 2019 - MySQL 8, not only good, great!
PHPDay 2019 - MySQL 8, not only good, great!
 
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
 
Big Data Analytics with MariaDB ColumnStore
Big Data Analytics with MariaDB ColumnStoreBig Data Analytics with MariaDB ColumnStore
Big Data Analytics with MariaDB ColumnStore
 
SDPHP - Percona Toolkit (It's Basically Magic)
SDPHP - Percona Toolkit (It's Basically Magic)SDPHP - Percona Toolkit (It's Basically Magic)
SDPHP - Percona Toolkit (It's Basically Magic)
 
MariaDB 10.2 New Features
MariaDB 10.2 New FeaturesMariaDB 10.2 New Features
MariaDB 10.2 New Features
 
MySQL 8.0.18 - New Features Summary
MySQL 8.0.18 - New Features SummaryMySQL 8.0.18 - New Features Summary
MySQL 8.0.18 - New Features Summary
 
2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗
2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗
2012 09 MariaDB Boston Meetup - MariaDB 是 Mysql 的替代者吗
 

More from Gabriela Ferrara

Serverless and you @ Women Who Code London 2020
Serverless and you  @ Women Who Code London 2020Serverless and you  @ Women Who Code London 2020
Serverless and you @ Women Who Code London 2020Gabriela Ferrara
 
Serverless and you - where do i run my stateless code
Serverless and you  - where do i run my stateless codeServerless and you  - where do i run my stateless code
Serverless and you - where do i run my stateless codeGabriela Ferrara
 
PyTexas - Machine learning APIs by Example
PyTexas - Machine learning APIs by ExamplePyTexas - Machine learning APIs by Example
PyTexas - Machine learning APIs by ExampleGabriela Ferrara
 
LaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data TypeLaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data TypeGabriela Ferrara
 
SunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQLSunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQLGabriela Ferrara
 
MySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo ProveitoMySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo ProveitoGabriela Ferrara
 
Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016Gabriela Ferrara
 
Coding like a girl - DjangoCon
Coding like a girl - DjangoConCoding like a girl - DjangoCon
Coding like a girl - DjangoConGabriela Ferrara
 
LAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivialLAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivialGabriela Ferrara
 
Database Wizardry for Legacy Applications
Database Wizardry for Legacy ApplicationsDatabase Wizardry for Legacy Applications
Database Wizardry for Legacy ApplicationsGabriela Ferrara
 
Coding like a girl - Youtube presentation
Coding like a girl - Youtube presentationCoding like a girl - Youtube presentation
Coding like a girl - Youtube presentationGabriela Ferrara
 

More from Gabriela Ferrara (13)

Serverless and you @ Women Who Code London 2020
Serverless and you  @ Women Who Code London 2020Serverless and you  @ Women Who Code London 2020
Serverless and you @ Women Who Code London 2020
 
Serverless and you - where do i run my stateless code
Serverless and you  - where do i run my stateless codeServerless and you  - where do i run my stateless code
Serverless and you - where do i run my stateless code
 
PyTexas - Machine learning APIs by Example
PyTexas - Machine learning APIs by ExamplePyTexas - Machine learning APIs by Example
PyTexas - Machine learning APIs by Example
 
LaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data TypeLaravelSP - MySQL 5.7: introdução ao JSON Data Type
LaravelSP - MySQL 5.7: introdução ao JSON Data Type
 
SunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQLSunshinePHP 2017 - Making the most out of MySQL
SunshinePHP 2017 - Making the most out of MySQL
 
MySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo ProveitoMySQL 5.7 - 
Tirando o Máximo Proveito
MySQL 5.7 - 
Tirando o Máximo Proveito
 
Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016Strip your TEXT fields - Exeter Web Feb/2016
Strip your TEXT fields - Exeter Web Feb/2016
 
Strip your TEXT fields
Strip your TEXT fieldsStrip your TEXT fields
Strip your TEXT fields
 
Coding like a girl - DjangoCon
Coding like a girl - DjangoConCoding like a girl - DjangoCon
Coding like a girl - DjangoCon
 
LAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivialLAMP: Desenvolvendo além do trivial
LAMP: Desenvolvendo além do trivial
 
Database Wizardry for Legacy Applications
Database Wizardry for Legacy ApplicationsDatabase Wizardry for Legacy Applications
Database Wizardry for Legacy Applications
 
Coding like a girl - Youtube presentation
Coding like a girl - Youtube presentationCoding like a girl - Youtube presentation
Coding like a girl - Youtube presentation
 
Coding like a Girl
Coding like a GirlCoding like a Girl
Coding like a Girl
 

Recently uploaded

Getting Started with Trello for Beginners.pptx
Getting Started with Trello for Beginners.pptxGetting Started with Trello for Beginners.pptx
Getting Started with Trello for Beginners.pptxmavinoikein
 
maximum subarray ppt for killing camp students
maximum subarray ppt for killing camp studentsmaximum subarray ppt for killing camp students
maximum subarray ppt for killing camp studentsssuser82c38d
 
Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...
Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...
Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...ISPMAIndia
 
P1 Inspection Types in Municity 5 Smartsheet
P1 Inspection Types in Municity 5 SmartsheetP1 Inspection Types in Municity 5 Smartsheet
P1 Inspection Types in Municity 5 SmartsheetMatthewTHawley
 
100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTS
100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTS100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTS
100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTSi-engage
 
"Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ...
"Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ..."Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ...
"Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ...ISPMAIndia
 
killingcamp longest common subsequence.pdf
killingcamp longest common subsequence.pdfkillingcamp longest common subsequence.pdf
killingcamp longest common subsequence.pdfssuser82c38d
 
LLMOps with Azure Machine Learning prompt flow
LLMOps with Azure Machine Learning prompt flowLLMOps with Azure Machine Learning prompt flow
LLMOps with Azure Machine Learning prompt flowNaoki (Neo) SATO
 
AI Product Management by Abhijit Bendigiri
AI Product Management by Abhijit BendigiriAI Product Management by Abhijit Bendigiri
AI Product Management by Abhijit BendigiriISPMAIndia
 
The Age of AI: Elevating Experiences & Delivering Customer Value!
The Age of AI: Elevating Experiences & Delivering Customer Value!The Age of AI: Elevating Experiences & Delivering Customer Value!
The Age of AI: Elevating Experiences & Delivering Customer Value!ISPMAIndia
 
killing camp week 6 problem - maximal matrix.pdf
killing camp week 6 problem - maximal matrix.pdfkilling camp week 6 problem - maximal matrix.pdf
killing camp week 6 problem - maximal matrix.pdfssuser82c38d
 
The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...
The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...
The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...emili denli
 
OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20Shane Coughlan
 
killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이
killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이
killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이ssuser82c38d
 
Essence of Requirements Engineering: Pragmatic Insights for 2024
Essence of Requirements Engineering: Pragmatic Insights for 2024Essence of Requirements Engineering: Pragmatic Insights for 2024
Essence of Requirements Engineering: Pragmatic Insights for 2024Asher Sterkin
 
No more Dockerfiles? Buildpacks to help you ship your image!
No more Dockerfiles? Buildpacks to help you ship your image!No more Dockerfiles? Buildpacks to help you ship your image!
No more Dockerfiles? Buildpacks to help you ship your image!Anthony Dahanne
 
SPM 2024 – Overview of and benefits of AI in Product Management
SPM 2024 – Overview of and benefits of AI in Product ManagementSPM 2024 – Overview of and benefits of AI in Product Management
SPM 2024 – Overview of and benefits of AI in Product ManagementISPMAIndia
 
sql ppt for students who preparing for sql
sql ppt for students who preparing for sqlsql ppt for students who preparing for sql
sql ppt for students who preparing for sqlbharatjanadharwarud
 
Sql server types of joins with example.pptx
Sql server types of joins with example.pptxSql server types of joins with example.pptx
Sql server types of joins with example.pptxsameer gaikwad
 

Recently uploaded (20)

Getting Started with Trello for Beginners.pptx
Getting Started with Trello for Beginners.pptxGetting Started with Trello for Beginners.pptx
Getting Started with Trello for Beginners.pptx
 
maximum subarray ppt for killing camp students
maximum subarray ppt for killing camp studentsmaximum subarray ppt for killing camp students
maximum subarray ppt for killing camp students
 
Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...
Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...
Product Manager vs Product Owner – Why Do Companies Still Struggle 23 Years A...
 
P1 Inspection Types in Municity 5 Smartsheet
P1 Inspection Types in Municity 5 SmartsheetP1 Inspection Types in Municity 5 Smartsheet
P1 Inspection Types in Municity 5 Smartsheet
 
100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTS
100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTS100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTS
100 TOOLS TO MEASURE AND ANALYSE YOUR DIGITAL MARKETING EFFORTS
 
"Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ...
"Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ..."Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ...
"Taking an idea to a Product in Health diagnostics" by Dr. Geetha Manjunath, ...
 
killingcamp longest common subsequence.pdf
killingcamp longest common subsequence.pdfkillingcamp longest common subsequence.pdf
killingcamp longest common subsequence.pdf
 
LLMOps with Azure Machine Learning prompt flow
LLMOps with Azure Machine Learning prompt flowLLMOps with Azure Machine Learning prompt flow
LLMOps with Azure Machine Learning prompt flow
 
AI Product Management by Abhijit Bendigiri
AI Product Management by Abhijit BendigiriAI Product Management by Abhijit Bendigiri
AI Product Management by Abhijit Bendigiri
 
The Age of AI: Elevating Experiences & Delivering Customer Value!
The Age of AI: Elevating Experiences & Delivering Customer Value!The Age of AI: Elevating Experiences & Delivering Customer Value!
The Age of AI: Elevating Experiences & Delivering Customer Value!
 
killing camp week 6 problem - maximal matrix.pdf
killing camp week 6 problem - maximal matrix.pdfkilling camp week 6 problem - maximal matrix.pdf
killing camp week 6 problem - maximal matrix.pdf
 
The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...
The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...
The Game-Changer_ How Software Development Outsource Can Catapult Your Growth...
 
OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20
 
killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이
killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이
killingcamp 광고삽입문제 풀이, killingcamp 광고삽입문제 풀이
 
Essence of Requirements Engineering: Pragmatic Insights for 2024
Essence of Requirements Engineering: Pragmatic Insights for 2024Essence of Requirements Engineering: Pragmatic Insights for 2024
Essence of Requirements Engineering: Pragmatic Insights for 2024
 
No more Dockerfiles? Buildpacks to help you ship your image!
No more Dockerfiles? Buildpacks to help you ship your image!No more Dockerfiles? Buildpacks to help you ship your image!
No more Dockerfiles? Buildpacks to help you ship your image!
 
SPM 2024 – Overview of and benefits of AI in Product Management
SPM 2024 – Overview of and benefits of AI in Product ManagementSPM 2024 – Overview of and benefits of AI in Product Management
SPM 2024 – Overview of and benefits of AI in Product Management
 
eLearning Content Development Company Code and Pixels.pdf
eLearning Content Development Company Code and Pixels.pdfeLearning Content Development Company Code and Pixels.pdf
eLearning Content Development Company Code and Pixels.pdf
 
sql ppt for students who preparing for sql
sql ppt for students who preparing for sqlsql ppt for students who preparing for sql
sql ppt for students who preparing for sql
 
Sql server types of joins with example.pptx
Sql server types of joins with example.pptxSql server types of joins with example.pptx
Sql server types of joins with example.pptx
 

DPC18 - OMG MySQL 8.0 is out! are we there yet?

  • 1. OMG MySQL 8.0 is out! Are we there yet? Gabriela Ferrara @gabidavila http://gabriela.io/feedback | https://joind.in/talk/2e783
  • 4. @gabidavila Are we there yet? 🤔 ● Created to handle from up to 10 to 100M rows or around 100MB/table ● Now supports terabyte- sized databases ● Supports SQL standards as new as SQL 2016 ● But... some stuff from SQL 2003 just became available (Window Functions, CTEs) ● What can we go from here?
  • 6. @gabidavila Topics ● New Defaults & Variables ● InnoDB Performance ● Window Functions ● CTE - Common Table Expressions
  • 8. @gabidavila New default Charset ● Default: ● 5.7: latin1 ● 8.0: utf8mb4 ● Improvements: ● ➕ Mathematical Equations 𝑒=𝑚·𝑐² ● 😁 🙄 % ● & more SMP (Supplementary Multilingual Plane) Characters
  • 9. @gabidavila New default Collation ● utf8mb4_0900_ai_ci ● UTF-8 version 9.0 support ● Accent Insensitive ● Case Insensitive ● No more 🍣 = 🍺 bug ● Caused by utf8mb4_general_ci or utf8mb4_unicode_ci More information on how collations behave here.
  • 10. @gabidavila Other defaults & variables ● Binary log (log_bin) is enabled by default ● SHA-2 for authentication ● Mandatory default value for TIMESTAMP ● New variable to dedicated servers (default OFF), innodb_dedicated_server=ON , controls dynamically: ● innodb_buffer_pool_size ● innodb_log_file_size ● innodb_flush_method
  • 12. @gabidavila Transaction Scheduling RDBMS usually works on a FIFO architecture Transaction A Transaction B Transaction C Start End
  • 13. @gabidavila CATS First database in the world to implement
  • 15. @gabidavila CATS vs FIFO | Transactions per Second (TPS) 0 5500 11000 16500 22000 32 64 128 256 512 FIFO CATS DataextractedfromMySQLServerTeamwebsite. Transactions per Second x # Clients Higher is better
  • 16. @gabidavila CATS vs FIFO | Latency 0 45 90 135 180 32 64 128 256 512 FIFO CATS DataextractedfromMySQLServerTeamwebsite. Mean Latency x # Clients Lower is better
  • 18. @gabidavila DESCRIBE `lines`; type null extra id int(11) NO AUTO_INCREMENT number int(11) YES timpestamp_in_ms timestamp YES character_id int(11) NO episode_id int(11) NO location_id int(11) NO character_line text YES word_count int(11) YES
  • 19. @gabidavila Invisible Indexes ● Not used by the optimizer ● Visible by default, to create an invisible index: ALTER TABLE lines ADD INDEX ix_word_count (word_count) INVISIBLE; ALTER TABLE lines ALTER INDEX ix_word_count INVISIBLE; ALTER TABLE lines ALTER INDEX ix_word_count VISIBLE; ● Toggle visibility:
  • 20. @gabidavila Invisible Indexes SELECT * FROM lines WHERE word_count > 25 ORDER BY word_count DESC; Invisible Query cost: 59175.37 Visible Query cost: 2847.86
  • 21. @gabidavila Descending Indexes Up to 5.7 ● Syntax allowed ASC or DESC when defining an index However... An index_col_name specification can end with ASC or DESC. These keywords are permitted for future extensions for specifying ascending or descending index value storage. Currently, they are parsed but ignored; index values are always stored in ascending order.
  • 23. @gabidavila Descending Indexes ● No longer ignored and forcibly created as ASC ALTER TABLE lines ADD INDEX ix_word_count (word_count DESC);
  • 24. @gabidavila Descending Indexes Can be scanned as intended or backwards SELECT * FROM lines WHERE word_count > 25 ORDER BY word_count DESC; -- OR WITH THE SAME COST SELECT * FROM lines WHERE word_count > 25 ORDER BY word_count;
  • 28. @gabidavila What they do? ● Allows to analyze the rows of a given result set ● Can behave like a GROUP BY without changing the result set ● Allows you to use a frame to "peek" OVER a PARTITION of a window
  • 29. @gabidavila Window Functions ● Examples: ● Enumerate rows - ROW_NUMBER() ● Show Aggregated sums - SUM() ● Rank results - RANK() ● Look at neighboring rows - LEAD(), LAG()
  • 30. @gabidavila DESCRIBE `episodes`; CREATE TABLE `episodes` ( `id` int(11) NOT NULL, `title` varchar(255), `episode_date` date, `season` int(11), `number_in_season` int(11), `number_in_series` int(11), `million_viewers` decimal(10, 2), `imdb_rating` decimal(10, 2), `imdb_votes` decimal(10, 2), `image_url` text, `video_url` text, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
  • 31. @gabidavila SELECT … FROM `episodes` LIMIT 10; +----+--------------+-----------------------------------+--------+------------------+-----------------+ | id | episode_date | title | season | number_in_season | million_viewers | +----+--------------+-----------------------------------+--------+------------------+-----------------+ | 1 | 1989-12-17 | Simpsons Roasting on an Open Fire | 1 | 1 | 26.70 | | 2 | 1990-01-14 | Bart the Genius | 1 | 2 | 24.50 | | 3 | 1990-01-21 | Homer's Odyssey | 1 | 3 | 27.50 | | 4 | 1990-01-28 | There's No Disgrace Like Home | 1 | 4 | 20.20 | | 5 | 1990-02-04 | Bart the General | 1 | 5 | 27.10 | | 6 | 1990-02-11 | Moaning Lisa | 1 | 6 | 27.40 | | 7 | 1990-02-18 | The Call of the Simpsons | 1 | 7 | 27.60 | | 8 | 1990-02-25 | The Telltale Head | 1 | 8 | 28.00 | | 9 | 1990-03-18 | Life on the Fast Lane | 1 | 9 | 33.50 | | 10 | 1990-03-25 | Homer's Night Out | 1 | 10 | 30.30 | +----+--------------+-----------------------------------+--------+------------------+-----------------+ 10 rows in set (0.00 sec)
  • 32. @gabidavila Previous and Next episodes | LAG and LEAD SELECT id, title, LAG(episode_date, 1) OVER (ORDER BY episode_date) AS previous_episode, episode_date, LEAD(episode_date, 1) OVER (ORDER BY episode_date) AS next_episode, million_viewers FROM episodes;
  • 33. @gabidavila SELECT … FROM `episodes` LIMIT 10; +----+-----------------------------------+------------------+--------------+--------------+-----------------+ | id | title | previous_episode | episode_date | next_episode | million_viewers | +----+-----------------------------------+------------------+--------------+--------------+-----------------+ | 1 | Simpsons Roasting on an Open Fire | NULL | 1989-12-17 | 1990-01-14 | 26.70 | | 2 | Bart the Genius | 1989-12-17 | 1990-01-14 | 1990-01-21 | 24.50 | | 3 | Homer's Odyssey | 1990-01-14 | 1990-01-21 | 1990-01-28 | 27.50 | | 4 | There's No Disgrace Like Home | 1990-01-21 | 1990-01-28 | 1990-02-04 | 20.20 | | 5 | Bart the General | 1990-01-28 | 1990-02-04 | 1990-02-11 | 27.10 | | 6 | Moaning Lisa | 1990-02-04 | 1990-02-11 | 1990-02-18 | 27.40 | | 7 | The Call of the Simpsons | 1990-02-11 | 1990-02-18 | 1990-02-25 | 27.60 | | 8 | The Telltale Head | 1990-02-18 | 1990-02-25 | 1990-03-18 | 28.00 | | 9 | Life on the Fast Lane | 1990-02-25 | 1990-03-18 | 1990-03-25 | 33.50 | | 10 | Homer's Night Out | 1990-03-18 | 1990-03-25 | 1990-04-15 | 30.30 | +----+-----------------------------------+------------------+--------------+--------------+-----------------+ 10 rows in set (0.01 sec)
  • 34. @gabidavila Break down LAG(episode_date, 1) OVER (ORDER BY episode_date) windowfunction column # rows preceding
  • 35. @gabidavila Repetition? SELECT id, title, LAG(episode_date, 1) OVER (ORDER BY episode_date) AS previous_episode, episode_date, LEAD(episode_date, 1) OVER (ORDER BY episode_date) AS next_episode, million_viewers FROM episodes;
  • 36. @gabidavila SELECT id, title, LAG(episode_date, 1) OVER (dates) AS previous_episode, episode_date, LEAD(episode_date, 1) OVER (dates) AS next_episode, million_viewers FROM episodes WINDOW dates AS (ORDER BY episode_date); Named Windows!
  • 39. @gabidavila Common Table Expressions ● Similar to CREATE [TEMPORARY] TABLE ● Doesn’t need CREATE privilege ● Can reference other CTEs (if those are already defined) ● Can be recursive ● Easier to read
  • 40. @gabidavila Rank episodes by million_viewers SELECT id, season, number_in_season AS '# in season', title, episode_date, million_viewers, RANK() OVER (season_viewers) AS episode_rank FROM episodes WINDOW season_viewers AS (PARTITION BY season ORDER BY million_viewers DESC)
  • 42. @gabidavila Recursive CTE ● Useful with hierarchical data ● The Recipe is: ● Base query comes first ● Second query comes after a UNION statement ● And the stop condition should be on the recursive call
  • 44. @gabidavila Fibonacci WITH RECURSIVE fibonacci(recursion_level, fibonacci_number, next_number) AS ( # Base Case SELECT 0 AS recursion_level, 0 AS fibonacci_number, 1 AS next_number UNION ALL # Recursion query SELECT recursion_level + 1, next_number, fibonacci_number + next_number FROM fibonacci # Stopping condition WHERE recursion_level < 10 ) SELECT * FROM fibonacci;
  • 45. @gabidavila Fibonacci WITH RECURSIVE fibonacci(recursion_level, fibonacci_number, next_number) AS ( # Base Case SELECT 0 AS recursion_level, 0 AS fibonacci_number, 1 AS next_number UNION ALL # Recursion query SELECT recursion_level + 1, next_number, fibonacci_number + next_number FROM fibonacci # Stopping condition WHERE recursion_level < 10 ) SELECT * FROM fibonacci;
  • 46. @gabidavila Fibonacci +-----------------+------------------+-------------+ | recursion_level | fibonacci_number | next_number | +-----------------+------------------+-------------+ | 0 | 0 | 1 | | 1 | 1 | 1 | | 2 | 1 | 2 | | 3 | 2 | 3 | | 4 | 3 | 5 | | 5 | 5 | 8 | | 6 | 8 | 13 | | 7 | 13 | 21 | | 8 | 21 | 34 | | 9 | 34 | 55 | | 10 | 55 | 89 | +-----------------+------------------+-------------+ 11 rows in set (0.00 sec) Base case Recursive Query
  • 48. @gabidavila Data Dictionary ● No more meta-data on MyISAM tables into the mysql schema ● No more meta-data on files: .FRM, .PAR, .TRG, .TRN ● System tables still exists, but in InnoDB tables
  • 49. @gabidavila Data Dictionary ● Accessible through the information_schema: ● implemented as views over Data Dictionary ● uses the optimizer to read the meta-data from the Data Dictionary ● up to 100x faster
  • 50. @gabidavila Atomic DDL ● A DDL operation consists of: ● Data Dictionary updates ● Storage Engine Operations ● Binary logs writes
  • 51. @gabidavila Atomic DDL ● Either all DDL works or no change is made ● DDL Executed as an internal InnoDB Transactions ● No more crashes when executing DDL in multiple objects (DROP TABLES, TRUNCATE TABLE)
  • 53. @gabidavila Other MySQL 8.0 Bits ● Data Dictionary ● Users now can have ROLES ● Instantaneously add columns (ALGORITHM=INSTANT) ● CATS instead of FIFO for high concurrency ● JSON partial update ● Better Geospatial support ● Better UUID support ● Use MySQL without SQL (through MySQL Shell or X)
  • 55. @gabidavila Thank you! Please rate my talk! https://joind.in/talk/2e783 or gabriela.io/feedback