The future is here with Apache Cassandra 2.0 - the NoSQL Database by ADAM HATTRELL at Big Data Spain 2013

Apache Cassandra provides a high performance data solution with massive scalability.
Session presented at Big Data Spain 2013 Conference
8th Nov 2013
Kinépolis Madrid
http://www.bigdataspain.org
Event promoted by http://www.paradigmatecnologico.com
Abstract: http://www.bigdataspain.org/2013/conference/the-future-is-here-with-apache-cassandra-2-0-the-nosql-database

Transcript

1. The Future is here with Apache Cassandra Adam Hattrell
2. Cassandra 2.0, things to know. Adam Hattrell, Senior Support Engineer
3. Who am I? • Adam Hattrell  Supported Informix, Cloudscape, Entity Analytics, Xwiki, Optim, Infosphere Mashup Hub and Splunk.  First Datastax EMEA Support Engineer. ©2013 DataStax Confidential. Do not distribute without consent. 3
4. Why Cassandra?  Massive Scalability  High Performance  Reliability / Availability 4
5. What's new? • Paxos (Lightweight Transactions) • Triggers (Experimental) • Improved Compaction • CQL Cursors • Native Drivers ©2013 DataStax Confidential. Do not distribute without consent. 5
6. Who wins?  Server1 • INSERT INTO USERS (username, email) • VALUES ('batman', 'bruce@wayne.com')  Server2 ©2013 DataStax Confidential. Do not distribute without consent. • 6 • INSERT INTO USERS (username, email) • VALUES ('batman', 'loser@joker.com')
7. Prepare and Promise ©2013 DataStax Confidential. Do not distribute without consent. • 7 TimeUUID, Key TimeUUID, Key TimeUUID, Key Node1 Node2 Node3
8. Propose and Accept ©2013 DataStax Confidential. Do not distribute without consent. • 8 TimeUUID, Key, Value TimeUUID, Key, Value TimeUUID, Key, Value Node1 Node2 Node3
9. Commit and Ack ©2013 DataStax Confidential. Do not distribute without consent. • 9 TimeUUID, Key, Value TimeUUID, Key, Value TimeUUID, Key, Value Node1 Node2 Node3
10. What's new? • Paxos (Check and Set) • Triggers (Experimental) • Improved Compaction • CQL Cursors • Native Drivers ©2013 DataStax Confidential. Do not distribute without consent. 10
11. Trigger syntax (Experimental) • CREATE TRIGGER <name> ON <table> using <classname>; • Class MyTrigger implements ITrigger • {  public Collection<RowMutation> augment(ByteBuffer key, ColumnFamily update)  { • …  } • } ©2013 DataStax Confidential. Do not distribute without consent. 11
12. What's new? • Paxos (Check and Set) • Triggers (Experimental) • Improved Compaction • CQL Cursors • Native Drivers ©2013 DataStax Confidential. Do not distribute without consent. 12
13. Healthy Leveled Compaction ©2013 DataStax Confidential. Do not distribute without consent. 13
14. Distressed Leveled Compaction ©2013 DataStax Confidential. Do not distribute without consent. 14
15. The Solution ©2013 DataStax Confidential. Do not distribute without consent. 15
16. What's new? • Paxos (Check and Set) • Triggers (Experimental) • Improved Compaction • CQL Cursors • Native Drivers ©2013 DataStax Confidential. Do not distribute without consent. 16
17. Old approach • CREATE TABLE timeline (  user_id uuid,  tweet_id timeuuid,  tweet_author uuid,  tweet_body text,  PRIMARY KEY (user_id, tweet_id));  SELECT *  FROM timeline  WHERE (user_id =:last_key • AND tweet_id > :last_tweet)  OR token(user_id) > token(:last_key)  LIMIT 100 ©2013 DataStax Confidential. Do not distribute without consent. 17
18. New approach • SELECT * FROM TIMELINE ; ©2013 DataStax Confidential. Do not distribute without consent. 18 1-1000000 1-5000 QueryOptions.setFetchSize(int)
19. What's new? • Paxos (Check and Set) • Triggers (Experimental) • Improved Compaction • CQL Cursors • Native Drivers ©2013 DataStax Confidential. Do not distribute without consent. 19
20. Native Drivers • Asynchronous • Server Notifications • Java, C#, Python (other planned) ©2013 DataStax Confidential. Do not distribute without consent. 20
21. Questions? • ? • ?? • ??? ©2013 DataStax Confidential. Do not distribute without consent. 21