This document discusses Apache Cassandra and its features and use cases. It provides an overview of Cassandra's key characteristics like massive scalability, extreme availability, and rich data modeling. Example use cases mentioned include messaging, collections/playlists, fraud detection, recommendations, and IoT sensor data. New features introduced in Cassandra in 2016 are also summarized, such as delete by range, materialized views, atomic UDT updates, a new SASI index, and support for GROUP BY queries.

1. Apache Cassandra™ en 2016
DuyHai DOAN
Évangéliste Apache Cassandra™

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3. Présentation et use-cases

4. @doanduyhai
Caractéristiques principales
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• massivement scalable (1000+ nœuds sur un seul cluster)
• disponibilité extrême (même en cas de perte de N-1 nœuds, N=RF)
• gestion du multi-data center/multi-cloud provider
• data modèle riche
• éco-système étendu (Apache Spark™, Apache Mesos™, Apache Zeppelin™)

5. @doanduyhai
Cas d’utilisation
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Messaging
Collections/
Playlists
Fraud
detection
Recommendation/
Personalization
Internet of things/
Sensor data

6. @doanduyhai
Cas d’utilisation
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Messaging
Collections/
Playlists
Fraud
detection
Recommendation/
Personalization
Internet of things/
Sensor data

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Cas d’utilisation
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Cas d’utilisation
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Cas d’utilisation
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Cas d’utilisation
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Cas d’utilisation
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Cas d’utilisation
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Cas d’utilisation
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Popularité (db-engines.com)
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15. Utilisateurs de Apache Cassandra™

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Quelques noms
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Quelques (nouveaux) noms
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User management
Ads Analytics
Locations
Realtime BI
State managementLive streaming

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Quelques noms chez nous
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Les 6 top
banques
françaises

19. Fonctionnalités d’Apache Cassandra™

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Tables distribuées
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H
A
E
D
B C
G F
user_id1
user_id2
user_id3
user_id4
user_id5

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DDL
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• CREATE/ALTER/DROP KEYSPACE
• CREATE/ALTER/DROP TABLE
• CREATE/ALTER/DROP TYPE <custom_data_type>
• CREATE/ALTER/DROP USER
• CREATE/ALTER/DROP ROLE
• GRANT/REVOKE <privileges> ON <table> TO <role_name>

22. @doanduyhai
DML
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INSERT INTO users(login, name, age) VALUES('jdoe', 'John DOE', 33);
UPDATE users SET age = 34 WHERE login = 'jdoe';
DELETE age FROM users WHERE login = 'jdoe';
SELECT age FROM users WHERE login = 'jdoe';

23. @doanduyhai
Collections
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CREATE TABLE xxx(
…,
li list<text>,
se set<text>,
ma map<int, text>,
…
);
UPDATE xxx SET li = li + [append] …
UPDATE xxx SET se = se + {append}
UPDATE xxx SET ma[key] = value …

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User Defined Type (UDT)
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CREATE TYPE address (
number int,
street text,
zipcode text,
city text,
country text
);

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Lightweight Transactions
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INSERT INTO users(…) VALUES(...) IF NOT EXISTS;
DELETE users WHERE ... IF EXISTS;
UPDATE users SET age = xxx WHERE ... IF age = 30;

26. @doanduyhai
Time to live
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INSERT INTO users(…) VALUES(...) USING TTL = 3600;
UPDATE users USING TTL = 3600 SET age = xxx WHERE ...;

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User Defined Functions/Aggregates
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CREATE FUNCTION toUpperCase(input text)
RETURNS NULL ON NULL INPUT
RETURNS int
LANGUAGE java
AS $$ return input.toUpperCase(); $$;
SELECT toUpperCase(firstname) FROM users WHERE …
SELECT max(salary) FROM users WHERE ...

28. Nouvelles fonctionnalités d’Apache
Cassandra™ en 2016

29. @doanduyhai
Delete by range
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DELETE timeseries
WHERE sensor_id = xxx
AND date<= yyy AND date >= zzz
Cassandra 3.0

30. @doanduyhai
Vues matérialisées
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CREATE MATERIALIZED VIEW user_by_salary
AS SELECT * FROM user
WHERE id IS NOT NULL AND salary > 100000
PRIMARY KEY((salary), id);
Cassandra 3.0

31. @doanduyhai
Vues matérialisées
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CREATE MATERIALIZED VIEW rich_users
AS SELECT * FROM user
WHERE id IS NOT NULL AND salary > 100000
PRIMARY KEY((salary), id);
CREATE MATERIALIZED VIEW rich_french_users
AS SELECT * FROM user
WHERE id IS NOT NULL AND country = ‘France’ AND salary > 100000
PRIMARY KEY((country), id);
Cassandra 3.10
Cassandra 3.0

32. @doanduyhai
Mise à jour atomique UDT (1er niveau)
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UPDATE users
SET address.street = 12
WHERE id = xxx;
Cassandra 3.6

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Nouveau index SASI
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CREATE CUSTOM INDEX albums_title_idx
ON music.albums(title)
USING 'org.apache.cassandra.index.sasi.SASIIndex’
WITH OPTIONS = {
'mode': 'CONTAINS',
'analyzer_class':
'org.apache.cassandra.index.sasi.analyzer.StandardAnalyzer',
'tokenization_enable_stemming': 'true',
'analyzed': 'true',
'tokenization_normalize_lowercase': 'true’
};
Cassandra 3.5

34. @doanduyhai
GROUP BY
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SELECT avg(salary)
FROM users_by_country
GROUP BY country, city;
Cassandra 3.10

35. Demo
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Q & A
! "

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@doanduyhai
duy_hai.doan@datastax.com
https://academy.datastax.com/
Merci