Downloaded 17 times
![@doanduyhai
Collections
23
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 …](https://image.slidesharecdn.com/apachecassandraen2016-160914071622/85/Apache-cassandra-in-2016-23-320.jpg)
Uploaded byDuyhai Doan
Apache cassandra in 2016
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.
More Related Content
Apache cassandra in 2016
- 1. Apache Cassandra™ en2016 DuyHai DOAN Évangéliste Apache Cassandra™
- 2.
- 3.
- 4. @doanduyhai Caractéristiques principales 4 • massivementscalable (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.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
- 12.
- 13.
- 14.
- 15. Utilisateurs de ApacheCassandra™
- 16.
- 17. @doanduyhai Quelques (nouveaux) noms 17 Usermanagement Ads Analytics Locations Realtime BI State managementLive streaming
- 18. @doanduyhai Quelques noms cheznous 18 Les 6 top banques françaises
- 19.
- 20. @doanduyhai Tables distribuées 20 H A E D B C GF user_id1 user_id2 user_id3 user_id4 user_id5
- 21. @doanduyhai DDL 21 • 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 22 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 23 CREATE TABLE xxx( …, lilist<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 …
- 24. @doanduyhai User Defined Type(UDT) 24 CREATE TYPE address ( number int, street text, zipcode text, city text, country text );
- 25. @doanduyhai Lightweight Transactions 25 INSERT INTOusers(…) VALUES(...) IF NOT EXISTS; DELETE users WHERE ... IF EXISTS; UPDATE users SET age = xxx WHERE ... IF age = 30;
- 26. @doanduyhai Time to live 26 INSERTINTO users(…) VALUES(...) USING TTL = 3600; UPDATE users USING TTL = 3600 SET age = xxx WHERE ...;
- 27. @doanduyhai User Defined Functions/Aggregates 27 CREATEFUNCTION 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.
- 29. @doanduyhai Delete by range 29 DELETEtimeseries WHERE sensor_id = xxx AND date<= yyy AND date >= zzz Cassandra 3.0
- 30. @doanduyhai Vues matérialisées 30 CREATE MATERIALIZEDVIEW 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 31 CREATE MATERIALIZEDVIEW 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 jouratomique UDT (1er niveau) 32 UPDATE users SET address.street = 12 WHERE id = xxx; Cassandra 3.6
- 33. @doanduyhai Nouveau index SASI 33 CREATECUSTOM 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 34 SELECT avg(salary) FROMusers_by_country GROUP BY country, city; Cassandra 3.10
- 35.
- 36.
- 37.
- 38.