Become a super modelerPatrick McFadin @PatrickMcFadinSenior Solutions ArchitectDataStax

Thursday, May 16, 13

Become a super modelerPatrick McFadin @PatrickMcFadinSenior Solutions ArchitectDataStax

Thursday, May 16, 13

... the saga continues.

This is the second part of a data modeling series

Part 1: The data model is dead, long live the data model!

• Relational -> Cassandra topics• Basic entity modeling• one-to-many• many-to-many• Transaction like modeling

Thursday, May 16, 13

Becoming a super modeler

• Data model is the key to happiness• Successful deployments depend on it• Not just a Cassandra problem...

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Thursday, May 16, 13

Time series - Basic

CREATE TABLE temperature ( weatherstation_id text, event_time timestamp, temperature text, PRIMARY KEY (weatherstation_id,event_time));

•Weather station collects regular temperature • Each weather station is a row• Each event is a new column in a wide row

Thursday, May 16, 13

Time series - Super!

• Every second? Row would be too big• Order by access pattern• Partition the rows by day

- One weather station by day

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CREATE TABLE temperature_by_day ( weatherstation_id text, date text, event_time timestamp, temperature text, PRIMARY KEY ((weatherstation_id,date),event_time)) WITH CLUSTERING ORDER BY (event_time DESC);

Compound row key

Reverse sort: Last event, first on row

Thursday, May 16, 13

User model - basic

• Plain ole entity table• One primary key• Booooring

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CREATE TABLE users ( username text PRIMARY KEY, first_name text, last_name text, address1 text, city text, postal_code text, last_login timestamp);

Thursday, May 16, 13

Cassandra feature - Collections

• Collections give you three types:- Set- List- Map

• Each allow for dynamic updates• Fully supported in CQL 3• Requires serialization so don’t go crazy

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CREATE TABLE collections_example (! id int PRIMARY KEY,! set_example set<text>,! list_example list<text>,! map_example map<int,text>);

Thursday, May 16, 13

Cassandra Collections - Set

• Set is sorted by CQL type comparator

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INSERT INTO collections_example (id, set_example)VALUES(1, {'1-one', '2-two'});

set_example set<text>

Collection name Collection type CQL Type

Thursday, May 16, 13

Cassandra Collections - Set Operations

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UPDATE collections_exampleSET set_example = set_example + {'3-three'} WHERE id = 1;

UPDATE collections_exampleSET set_example = set_example + {'0-zero'} WHERE id = 1;

UPDATE collections_exampleSET set_example = set_example - {'3-three'} WHERE id = 1;

• Adding an element to the set

• After adding this element, it will sort to the beginning.

• Removing an element from the set

Thursday, May 16, 13

Cassandra Collections - List

• Ordered by insertion

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list_example list<text>

Collection name Collection type CQL Type

INSERT INTO collections_example (id, list_example)VALUES(1, ['1-one', '2-two']);

Thursday, May 16, 13

Cassandra Collections - List Operations

• Adding an element to the end of a list

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UPDATE collections_exampleSET list_example = list_example + ['3-three'] WHERE id = 1;

UPDATE collections_exampleSET list_example = ['0-zero'] + list_example WHERE id = 1;

• Adding an element to the beginning of a list

UPDATE collections_exampleSET list_example = list_example - ['3-three'] WHERE id = 1;

• Deleting an element from a list

Thursday, May 16, 13

Cassandra Collections - Map

• Key and value• Key is sorted by CQL type comparator

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INSERT INTO collections_example (id, map_example)VALUES(1, { 1 : 'one', 2 : 'two' });

map_example map<int,text>

Collection name Collection type Value CQL TypeKey CQL Type

Thursday, May 16, 13

Cassandra Collections - Map Operations

• Add an element to the map

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UPDATE collections_example SET map_example[3] = 'three' WHERE id = 1;

UPDATE collections_example SET map_example[3] = 'tres' WHERE id = 1;

DELETE map_example[3] FROM collections_example WHERE id = 1;

•Update an existing element in the map

•Delete an element in the map

Thursday, May 16, 13

User model - Super!

• Take boring user table and kick it up• Great for static + some dynamic• Takes advantage of row level isolation

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CREATE TABLE user_with_location (! username text PRIMARY KEY, ! first_name text, ! last_name text, ! address1 text, ! city text, ! postal_code text, ! last_login timestamp, ! location_by_date map<timeuuid,text>);

Thursday, May 16, 13

Super user profile - Operations

• Adding new login locations to the map

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UPDATE user_with_location SET last_login = now(), location_by_date = {now() : '123.123.123.1'}WHERE username='PatrickMcFadin';

UPDATE user_with_locationUSING TTL 2592000 // 30 DaysSET last_login = now(), location_by_date = {now() : '123.123.123.1'}WHERE username='PatrickMcFadin';

• Adding new login locations to the map + TTL!

Thursday, May 16, 13

Indexing

• Indexing expresses application intent• Fast access to specific queries• Secondary indexes != relational indexes• Use information you have. No pre-reads.

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Goals: 1. Create row key for speed2. Use wide rows for efficiency

Thursday, May 16, 13

Keyword index

• Use a word as a key• Columns are the occurrence• Ex: Index of tag words about videos

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CREATE TABLE tag_index ( tag varchar, videoid uuid, timestamp timestamp, PRIMARY KEY (tag, videoid));

VideoId1 .. VideoIdNtag

Fast

Efficient

Thursday, May 16, 13

Partial word index

• Where row size will be large• Take one part for key, rest for columns name

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CREATE TABLE email_index ( domain varchar, user varchar, username varchar, PRIMARY KEY (domain, user));

INSERT INTO email_index (domain, user, username) VALUES ('@relational.com','tcodd', 'tcodd');

User: tcodd Email: tcodd@relational.com

Thursday, May 16, 13

Partial word index - Super!

• Create partitions + partial indexes FTW

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CREATE TABLE product_index ( store int, part_number0_3 int, part_number4_9 int, count int, PRIMARY KEY ((store,part_number0_3), part_number4_9));

INSERT INTO product_index (store,part_number0_3,part_number4_9,count)VALUES (8675309,7079,48575,3);

SELECT countFROM product_indexWHERE store = 8675309AND part_number0_3 = 7079AND part_number4_9 = 48575;

Compound row key!

Fast and efficient!

• Store #8675309 has 3 of part# 7079748575

Thursday, May 16, 13

Bit map index

• Multiple parts to a key• Create a truth table of the different combinations• Inserts == the number of combinations

- 3 fields? 7 options (Not going to use null choice)- 4 fields? 15 options

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Thursday, May 16, 13

Bit map index

• Find a car in a lot by variable combinations

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Make Model Color Combination

x Color

x Model

x x Model+Color

x Make

x x Make+Color

x x Make+Model

x x x Make+Model+Color

Thursday, May 16, 13

Bit map index - Table create

• Make a table with three different key combos

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CREATE TABLE car_location_index ( make varchar, model varchar, color varchar, vehical_id int, lot_id int, PRIMARY KEY ((make,model,color),vehical_id));

Compound row key with three different options

Thursday, May 16, 13

Bit map index - Adding records

• Pre-optimize for 7 possible questions on insert

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INSERT INTO car_location_index (make,model,color,vehical_id,lot_id)VALUES ('Ford','Mustang','Blue',1234,8675309);

INSERT INTO car_location_index (make,model,color,vehical_id,lot_id)VALUES ('Ford','Mustang','',1234,8675309);

INSERT INTO car_location_index (make,model,color,vehical_id,lot_id)VALUES ('Ford','','Blue',1234,8675309);

INSERT INTO car_location_index (make,model,color,vehical_id,lot_id)VALUES ('Ford','','',1234,8675309);

INSERT INTO car_location_index (make,model,color,vehical_id,lot_id)VALUES ('','Mustang','Blue',1234,8675309);

INSERT INTO car_location_index (make,model,color,vehical_id,lot_id)VALUES ('','Mustang','',1234,8675309);

INSERT INTO car_location_index (make,model,color,vehical_id,lot_id)VALUES ('','','Blue',1234,8675309);

Thursday, May 16, 13

Bit map index - Selecting records

• Different combinations now possible

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SELECT vehical_id,lot_idFROM car_location_indexWHERE make = 'Ford'AND model = ''AND color = 'Blue';

vehical_id | lot_id------------+--------- 1234 | 8675309

SELECT vehical_id,lot_idFROM car_location_indexWHERE make = ''AND model = ''AND color = 'Blue';

vehical_id | lot_id------------+--------- 1234 | 8675309 8765 | 5551212

Thursday, May 16, 13

Feeling super yet?

• Use these skills. Save you they will.• Don’t settle for boring data models• Stay tuned for more!

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• Final will be at the Cassandra Summit: June 11th

The worlds next top data model

Thursday, May 16, 13

Be there!!!

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Sony, eBay, Netflix, Intuit, Spotify... the list goes on. Don’t miss it.

Here is my discount code! Use it: PMcVIP

Thursday, May 16, 13

Bonus!

• DataStax Java Driver Preso - June 12th• Download today!

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https://github.com/datastax/java-driver

Thursday, May 16, 13

Thank You

Q&A

Thursday, May 16, 13