Introduction to Data Modeling with MySQL WorkbenchPresented By:

Mike HillyerMike Zinner

andThe MySQL Workbench Team

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Who Are We? Mike Hillyer Former MySQL AB Technical Writer, GUI Tools http://www.mikehillyer.com

Mike Zinner Team Lead, Developer Tools http://zinner.org

Alfredo Kojima Senior Software Engineer, Developer Tools

Johannes Taxacher QA Engineer, Developer Tools

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http://www.mikehillyer.comhttp://www.mikehillyer.comhttp://zinner.orghttp://zinner.org

Who Are You?

How Many Of You:

Are Here for Data Modeling? Are Here for MySQL Workbench? Are Here for Both?

Are Database Designers? Are Developers?

Have used MySQL Workbench?

Secret Plan: You are Guinea Pigs

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What is This Session About? An introductory session for those new to both data

modeling and MySQL Workbench

Covers: Designing a schema Introduction to workbench Designing a schema with WB How to normalize a schema Performance Optimizations Advanced Workbench Usage Q&A Conclusion

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Workbench Install

Go to http://dev.mysql.com/workbench/UC09Workbench.php to download installer

Alternatively collect a thumbdrive, installers are included for all supported platforms

Please raise your hand for install assistance

Windows users will need the .NET Framework 2.0 and the VS2005.net Redistributable. Both are found at microsoft.com/downloads and on the thumb drives

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http://dev.mysql.com/workbench/UC09Workbench.phphttp://dev.mysql.com/workbench/UC09Workbench.phphttp://dev.mysql.com/workbench/UC09Workbench.phphttp://dev.mysql.com/workbench/UC09Workbench.php

Introducing MySQL Workbench

DBDesigner4 brought Mike Zinner to MySQL AB

MySQL GUI team developed Query Browser, Administrator, Windows Installer and finally MySQL Workbench

MySQL Workbench is a visual database design tool

Workbench provides tools for design, change management, documentation

Workbench is extensible using Lua, Python and C++

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MySQL Workbench Goals Productivity for MySQL Developers & DBAs Save time when working with big schemata Make it easy to visualize and tune schemata

Give Developers the tool they really need Done by developers for developers Native on each platform - best user experience!

Make MySQL easier to use GUI Tools 2nd biggest download on MySQL.com Best selling product in the MySQL online shop

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MySQL Workbench Editions MySQL Workbench OSS (Community Edition) MySQL Workbench SE (Standard Edition) $99/Developer/Year subscription

$2,500...$20,000/Company/Year for Unlimited sub.

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MySQL Workbench Standard Edition Commercial extension of OSS version Added features: Schema object privilege system Schema validation plugins Model reporting Online printing Reverse engineering Synchronization (against live database connections)

Purchase for annual subscription fee of $99 Downloadable from website http://mysql.com/products/workbench/features.html

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http://mysql.com/products/workbench/features.htmlhttp://mysql.com/products/workbench/features.html

Usage Walkthough

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Exercise

Build a schema to track surveys and responses. Record surveys with descriptions Record questions, potential pre-defined multiple

choice answers, allow for written response Record responses to questions, attach them to

individual responders

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Data Types

Use Appropriate Data Type – when data type is wrong can lead not only to compromised data, but additional processing to convert the string to a numeric value prior to performing calculations

Use Appropriate Length – a length that has a max value so high would be inappropriate for data that would max out much smaller

Use Not Null – a column with NULL capability that will never contain a NULL can cause integrity issues and add unnecessary processes

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Normalize Your Schema What is Normalization?

Introduced by E.F. Codd

The modification of a schema so that it conforms to defined normal forms.

Ensuring that every non-key column relates to“The Key, The Whole Key, and Nothing But the Key”

So Help Me Codd

Makes data atomic. Reduces redundancy.

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Benefits of Normalization Decreased storage consumption. Removed redundancy means less data.

Better/Faster(/Stronger) searches. Less data to scan. Easier searches on (previously) mixed data.

Improved data integrity. When data is only in one place you only have to get

it right/fix it once.

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The Normal Forms

First Normal Form (1NF)

Second Normal Form (2NF)

Third Normal Form (3NF)

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First Normal Form (1NF)

Requires a Primary Key. (The Key) Requires that all data is atomic.

Also work on removing horizontal and vertical redundancies from your table.

Name

Mike Hillyer

ID First_Name Last_Name

1 Mike Hillyer

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Second Normal Form (2NF) Requires that all fields relate to an entire

composite key, not just parts. (The Whole Key)

Reviewer_ID First_Name Last_Name ISBN Score

1 Mike Hillyer 2233 4.5

Reviewer_ID ISBN Score

1 2233 4.5

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Third Normal Form (3NF) Requires that all fields depend directly on the primary

key, and not on other non-key fields. (And Nothing But The Key)

Address_ID Address City State Zip

1 123 Main Street Santa Clara California 90221

Zip City State

90221 Santa Clara California

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Additional Normal Forms

Boyce-Codd Normal Form Fourth Normal Form Fifth Normal Form Domain/Key Normal Form Sixth Normal Form Non-First Normal Form

http://en.wikipedia.org/wiki/Database_normalization

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http://en.wikipedia.org/wiki/Database_normalizationhttp://en.wikipedia.org/wiki/Database_normalization

By Example: User Tracking Table has no Primary Key. Name is not atomic. Table starts with all possible user

information in a single table. Phone numbers and email addresses

are horizontally redundant. Company, department, city, state, zip

are vertically redundant.

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1NF Satisfied

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2NF Satisfied

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3NF Satisfied

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Over-Normalization

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De-Normalization Start by normalizing, then watch your slow query logs

and run EXPLAIN.

De-Normalization may be needed on certain queries (joining and sorting).

Maintain data integrity with triggers.

Alternatively try using a view first to bring data together.

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Think Outside the Database Consider whether the data in question needs to be

stored in the database at all

Can/should a slow query be cached outside the database, perhaps even client-side

Recommended reading -->

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How to De-Normalize Combine one-to-many relationships - there are

times when a single column should be added to the “many” table to remove the need to have a join

Add Attributes – add additional columns to an existing table to improve performance by minimizing the need for a join

Data Snapshot - create a table that stores a snapshot of data that needs to be retrieved through multiple methods

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Managing Schema Privileges

Add Users to design to manage their privileges

Add Roles to simply management of privileges

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Maintaining Your Design

Whenever possible make your changes in the design, then update the database from Workbench

Test your changes in a staging environment first

Use the sync tool to implement changes from the design or update the design with changes made to the database

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Document Your Schema

Generate automatic documentation using DBDoc tool

Use model notes to keep track of important information

Use layers to logically group objects

Print out your schema for easy developer reference

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Using Advanced Features

Export ORM Schemas Directly from Workbench Using Community Plugins:

http://forums.mysql.com/read.php?153,208229

Use custom Add-ons to perform new tasks:

http://dev.mysql.com/workbench//?p=190

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http://forums.mysql.com/read.php?153,208229http://forums.mysql.com/read.php?153,208229http://dev.mysql.com/workbench//?p=190http://dev.mysql.com/workbench//?p=190

The Future of WB: RoadMap

WB 5.2 “Query”, Q3/09 Database querying, Administration Plugin

WB 6.0 “SQL IDE”, Q2/10 SQL Re-factoring, Query Builder

WB 6.1 “Team”, Q3/10 Workgroup support, Versioning

Coming up next: Multi RDBMS support

Logical modeling

Advanced migration

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Q & A

Any Questions?

Ask now or catch us during the conference!

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Conclusion

Thanks for Coming!

Please check http://mikehillyer.com/presentations for the slides and recording of this presentation

Watch http://wb.mysql.com/ for news and developments

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