CCT395, Week 11 Review, Permissions Physical Storage and Performance This presentation is licensed under Creative Commons Attribution License, v. 3.0.

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CCT395, Week 11 Review, Permissions Physical Storage and Performance This presentation is licensed under Creative Commons Attribution License, v To view a copy of this license, visit This presentation incorporates images from the Crystal Clear icon collection by Everaldo Coelho, available under LGPL from Yuri Takhteyev University of Toronto November 17, 2010

The Exam 25%: ER + Normalization 50%: Fill-in-the-blanks SQL 25%: Conceptual questions

Estate name description Variety name description Region name description Shipment quantity date ordered Request quantity date Harvest year notes

select superhero.name from superhero join _____________________________________ on _____________________________________ where _______________________!="Lex Luthor" __________________ by ____________________

Conceptual questions - Main ideas - Things from the last 5 weeks (check the updated outline)

Questions?

João's Coffee

Divide and Conquer Getting the customers the right coffee - Ordering the right coffee - Delivering the coffee to the right customers

Estate name description Variety name description Region name description Shipment quantity date ordered Request quantity date Harvest year notes Coffee House address Shipper name telephone status? Invoice date amount? price?

SQL create table harvest ( harvest_id int, variety_id int, foreign key (variety_id) references variety(variety_id), estate_id int, foreign key (estate_id) references estate(estate_id), year year, notes varchar(200), primary key (harvest_id), );

Storage Persistent storage usually a harddrive(s) Challenges finding a representation not losing information storage space performance

CSV simple! relatively small but what to do with NULLs? and how would it perform?

CSV , , , , , , , , another billion rows How do we add a row? How do we delete a row? How do we find a row?

What if we sort it? , , , , , , , , , , Finding is easier! But adding is harder...

And the second field? , , , , , , , , , , Essentially an index. Easier to find, more stuff to store, more work to insert.

Trees , , and other items that start with 75 (does not need to be ordered)

Fixed vs Dynamic ISAM: The structure is fixed B+ trees: The structure changes A: 4% O: <0.5% M: 9.5%

CCT395, Week 9 Review, Permissions Physical Storage and Performance This presentation is licensed under Creative Commons Attribution License, v To view a copy of this license, visit This presentation incorporates images from the Crystal Clear icon collection by Everaldo Coelho, available under LGPL from Yuri Takhteyev University of Toronto November 17, 2010

The Exam 25%: ER + Normalization 50%: Fill-in-the-blanks SQL 25%: Conceptual questions

Estate name description Variety name description Region name description Shipment quantity date ordered Request quantity date Harvest year notes

select superhero.name from superhero join _____________________________________ on _____________________________________ where _______________________!="Lex Luthor" __________________ by ____________________

Conceptual questions - Main ideas - Things from the last 5 weeks (check the updated outline)

Questions?

João's Coffee

Divide and Conquer Getting the customers the right coffee - Ordering the right coffee - Delivering the coffee to the right customers

Estate name description Variety name description Region name description Shipment quantity date ordered Request quantity date Harvest year notes Coffee House address Shipper name telephone status? Invoice date amount? price?

SQL create table harvest ( harvest_id int, variety_id int, foreign key (variety_id) references variety(variety_id), estate_id int, foreign key (estate_id) references estate(estate_id), year year, notes varchar(200), primary key (harvest_id), );

Storage Persistent storage usually a harddrive(s) Challenges finding a representation not losing information storage space performance

CSV simple! relatively small but what to do with NULLs? and how would it perform?

CSV , , , , , , , , another billion rows

CSV , , , , , , , , another billion rows

CSV , , , , , , , ,

Fixed-Length another billion rows start of Nth row = N * length of row

CSV , , , , , , , , another billion rows How do we add a row? How do we delete a row? How do we find a row?

What if we sort it? , , , , , , , , , ,13.23 Finding is easier! But adding is harder...

And the second field? , , , , , , , , , ,1.73 Essentially an index. Easier to find, more stuff to store, more work to insert.

Trees , , and other items that start with 75 (does not need to be ordered)

Fixed vs Balanced Fixed: E.g., ISAM Balanced: E.g., B+ Trees A: 4% M: 9.5% Q: 0

Balanced Tree Antonov Zhang Aaronson O'Neil Thomson Silva Peters Zhukov Kim

Balanced Tree Antonov Aaronson O'Neil Thomson Silva Peters Zhukov Kim Zhang

Balanced Tree Antonov Aaronson O'Neil Thomson Silva Peters Zhukov Kim Zhang

Balanced Tree Antonov Aaronson O'Neil Thomson Silva Peters Zhukov Kim Zhang

Balanced Tree Antonov Aaronson O'Neil Thomson Silva Peters Zhukov Kim Zhang

Balanced Tree Antonov Aaronson O'Neil Thomson PetersZhukov Kim Zhang Silva

Balanced Tree Antonov Aaronson O'Neil Thomson PetersZhukov Kim Zhang Silva

Balanced Tree Antonov Aaronson O'Neil Thomson PetersZhukov Kim Zhang Silva

Balanced Tree Antonov Aaronson O'Neil Thomson PetersZhukov Kim Zhang Silva

Balanced Tree Antonov Aaronson O'Neil Thomson Peters ZhukovKim Zhang Silva

Storage Engines CVS yes, it's an option MyISAM the default relatively simple See: /var/lib/mysql/menagerie/ InnoDB more features

Storage Engines CVS yes, it's an option MyISAM the default relatively simple InnoDB more features

Storage Engines CVS yes, it's an option MyISAM the default relatively simple InnoDB more features

The Extra Features Foreign Key Constraints no, not in MyISAM! Transactions start transaction; update table1...; update table2...; commit; Downside: complexity

More Engines Memory no harddrive → faster Blackhole doesn't actually store anything Federated allows remote tables Etc.

Picking an Engine create table superhero ( id integer, primary key (id), name char(100) ) engine=InnoDB;

Index Easy retrieval by field - usually automatic for PK - optional for other fields create index name_index on superhero(name);

to be continued