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Data modeling with 
Apache Cassandra 
Marko Švaljek 
@msvaljek
About me 
• Software Developer at Kapsch 
• Zagreb Cassandra Meetup
About Cassandra 
• Written in Java 
• Wide Row Store 
• Masterless 
• DataStax
About Cassandra 
• No Single Point of failure ✓ 
• Cross Datacenter ✓ 
• Linear Scaling ✓ 
• Data modeling ?
Data Model 
• Highly denormalized 
• No foreign keys 
• No referential integrity 
• No joins
Compared to Relational 
• Think about the questions up front 
• No penalty for wide rows 
• Disk is cheap 
• Bring on the writes
Cassandra Objects 
• Keyspace (database) 
• Table 
• Primary key 
• Index
Data Organization
Wide Row
CQL 
• Cassandra Query Language 
• Similar to SQL 
• Learning curve 
• No code reading
Create table 
CREATE TABLE employees ( 
name text PRIMARY KEY, 
age int, 
role text 
);
Inserting 
INSERT INTO employees 
(name, age) 
VALUES ('mario', 38); 
INSERT INTO employees 
(name, age) 
VALUES ('tom', 24);
Selecting 
SELECT * FROM employees; 
name | age | role 
-------+-----+------ 
tom | 24 | DEV 
mario | 38 | SM
Hmm … 
SELECT * 
FROM employees 
WHERE age > 20; 
Bad Request: No indexed 
columns present in by-columns 
clause with Equal operator
How it’s stored 
• Every row is a partition 
• There is no “next” row
Primary key 
CREATE TABLE employees2 ( 
company text, 
name text, 
age int, 
role text, 
PRIMARY KEY (company, name) 
);
Primary key 
company | name | age | role 
---------+-------+-----+------ 
B | john | 25 | DEV 
B | peter | 22 | DEV 
A | kate | 33 | PM 
A | mario | 38 | SM 
A | neno | 32 | DEV 
PRIMARY KEY (company, name)
Primary key 
company | name | age | role 
---------+-------+-----+------ 
B | john | 25 | DEV 
B | peter | 22 | DEV 
A | kate | 33 | PM 
A | mario | 38 | SM 
A | neno | 32 | DEV
Primary key 
SELECT * 
FROM employees2 
WHERE company = 'A' 
AND name > 'kate'; 
company | name | age | role 
---------+-------+-----+------ 
A | mario | 38 | SM 
A | neno | 32 | DEV
Primary key 
PRIMARY KEY (a, b) 
PRIMARY KEY ((x, y), z, w) 
Partition Key (row) – just the 1st 
Clustering Columns – the rest
One to Many 
Users 
CREATE TABLE users ( 
username text, 
first_name text, 
last_name text, 
email text, 
PRIMARY KEY (username) 
);
One to Many 
Videos 
CREATE TABLE videos ( 
video_id uuid, 
video_name text, 
username text, 
description text, 
tags text, 
upload_date timestamp, 
PRIMARY KEY (video_id) 
);
One to Many 
User videos 
CREATE TABLE username_video_ind ( 
username text, 
video_id uuid, 
upload_date timestamp, 
video_name text, 
PRIMARY KEY (username, video_id) 
);
Many to Many 
Comments 
CREATE TABLE comments_by_video ( 
video_id uuid, 
username text, 
comment_time timestamp, 
comment text, 
PRIMARY KEY (video_id, username) 
); 
CREATE TABLE comments_by_user ( 
username text, 
videoid uuid, 
comment_time timestamp, 
comment text, 
PRIMARY KEY (username, videoid) 
);
Reverse ordering 
CREATE TABLE credit_transaction ( 
username text, 
type text, 
date_time timestamp, 
credits int, 
PRIMARY KEY (username, datetime, type) 
) WITH CLUSTERING ORDER BY 
(datetime DESC, type ASC);
Q & A 
Thank you! 
Don’t be afraid of writes! 
Join Zagreb Cassandra Users! 
@msvaljek 
msvaljek@gmail.com

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Javantura v2 - Data modeling with Apapche Cassandra - Marko Švaljek

  • 1. Data modeling with Apache Cassandra Marko Švaljek @msvaljek
  • 2. About me • Software Developer at Kapsch • Zagreb Cassandra Meetup
  • 3. About Cassandra • Written in Java • Wide Row Store • Masterless • DataStax
  • 4. About Cassandra • No Single Point of failure ✓ • Cross Datacenter ✓ • Linear Scaling ✓ • Data modeling ?
  • 5. Data Model • Highly denormalized • No foreign keys • No referential integrity • No joins
  • 6. Compared to Relational • Think about the questions up front • No penalty for wide rows • Disk is cheap • Bring on the writes
  • 7. Cassandra Objects • Keyspace (database) • Table • Primary key • Index
  • 10. CQL • Cassandra Query Language • Similar to SQL • Learning curve • No code reading
  • 11. Create table CREATE TABLE employees ( name text PRIMARY KEY, age int, role text );
  • 12. Inserting INSERT INTO employees (name, age) VALUES ('mario', 38); INSERT INTO employees (name, age) VALUES ('tom', 24);
  • 13. Selecting SELECT * FROM employees; name | age | role -------+-----+------ tom | 24 | DEV mario | 38 | SM
  • 14. Hmm … SELECT * FROM employees WHERE age > 20; Bad Request: No indexed columns present in by-columns clause with Equal operator
  • 15. How it’s stored • Every row is a partition • There is no “next” row
  • 16. Primary key CREATE TABLE employees2 ( company text, name text, age int, role text, PRIMARY KEY (company, name) );
  • 17. Primary key company | name | age | role ---------+-------+-----+------ B | john | 25 | DEV B | peter | 22 | DEV A | kate | 33 | PM A | mario | 38 | SM A | neno | 32 | DEV PRIMARY KEY (company, name)
  • 18. Primary key company | name | age | role ---------+-------+-----+------ B | john | 25 | DEV B | peter | 22 | DEV A | kate | 33 | PM A | mario | 38 | SM A | neno | 32 | DEV
  • 19. Primary key SELECT * FROM employees2 WHERE company = 'A' AND name > 'kate'; company | name | age | role ---------+-------+-----+------ A | mario | 38 | SM A | neno | 32 | DEV
  • 20. Primary key PRIMARY KEY (a, b) PRIMARY KEY ((x, y), z, w) Partition Key (row) – just the 1st Clustering Columns – the rest
  • 21. One to Many Users CREATE TABLE users ( username text, first_name text, last_name text, email text, PRIMARY KEY (username) );
  • 22. One to Many Videos CREATE TABLE videos ( video_id uuid, video_name text, username text, description text, tags text, upload_date timestamp, PRIMARY KEY (video_id) );
  • 23. One to Many User videos CREATE TABLE username_video_ind ( username text, video_id uuid, upload_date timestamp, video_name text, PRIMARY KEY (username, video_id) );
  • 24. Many to Many Comments CREATE TABLE comments_by_video ( video_id uuid, username text, comment_time timestamp, comment text, PRIMARY KEY (video_id, username) ); CREATE TABLE comments_by_user ( username text, videoid uuid, comment_time timestamp, comment text, PRIMARY KEY (username, videoid) );
  • 25. Reverse ordering CREATE TABLE credit_transaction ( username text, type text, date_time timestamp, credits int, PRIMARY KEY (username, datetime, type) ) WITH CLUSTERING ORDER BY (datetime DESC, type ASC);
  • 26. Q & A Thank you! Don’t be afraid of writes! Join Zagreb Cassandra Users! @msvaljek msvaljek@gmail.com