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Jeremy Hanna
Support Engineer
Apache Cassandra in the Real World
Cassandra Design
•Massive scalability
•Multi-datacenter
•High Performance
•Reliability/Availability
•no SPOF, no special roles
Linear Scalability
•Just add more servers
•No special node roles
Multi-DC Replication
CAP Theorem
•Select two
Consistency
Availability
Partition Tolerance
Failure is expected
•When bad things happen to good clusters
•Rapid read protection
•Consistency level guarantees
•Anti-entropy services
•read-repair
•hinted handoff
•regular repairs
Cassandra Design
•Massive scalability
•High Performance
•Reliability/Availability
•Ease of use
Developer friendly
•CQL3
•Collections (List, Map, Set)
•User defined types (2.1)
•Cassandra native drivers
•Native paging
•Tracing
•DataStax DevCenter tool
•Atomic batches
•Lightweight transactions
•Triggers
CQL3 examples
CREATE KEYSPACE shire WITH 	
REPLICATION = {'class': 'NetworkTopologyStrategy', 'eu' : 3, 'us-east' : 2};
SELECT * FROM emp WHERE empID IN (130,104) ORDER BY deptID DESC;
INSERT INTO excelsior.clicks (userid, url, date, name)

VALUES (

3715e600-2eb0-11e2-81c1-0800200c9a66,

‘http://cassandra.apache.org',

‘2013-10-09',	
‘Mary')

USING TTL 86400;
UPDATE users 	
SET email = ‘charlie@wonka.com’ 	
WHERE login = ‘cbucket64'	
IF email = ‘cbucket@wonka.com’
CREATE USER bombadil WITH PASSWORD 'goldberry4ever' SUPERUSER;
GRANT ALTER ON KEYSPACE shire TO gandalf;
User defined types
CREATE TYPE address (	
street text,	
city text,	
zip_code int,	
phones set<text>	
)	
!
CREATE TABLE users (	
id uuid PRIMARY KEY,	
name text,	
addresses map<text, address>	
)	
!
SELECT id, name, addresses.city, addresses.phones FROM users;	
!
id | name | addresses.city | addresses.phones	
--------------------+----------------+--------------------------	
63bf691f | frodo | Shire | {'075114563', '07512314'}
Ops Friendly
•Simple design
•no special role, no single point of failure
•Lots of exposed metrics via JMX
•Nodes and entire datacenters can go down with no
loss of service
•Rapid read protection
•DataStax OpsCenter
•Visual monitoring tool
•REST interface to metric data
•Free version
•Hands-off services
Some C* Users
Spotify
•Use case began with playlist storage
•Grew significantly beyond that
•Some playlist details
•Essentially version control system
•More than 1 billion playlists
•>40,000 request/second at peak
•Off-line mode (both access and changes)
•Concurrent changes
See also: 
http://www.slideshare.net/planetcassandra/c-summit-eu-2013-playlists-at-spotify-using-cassandra-to-store-version-controlled-objects
La Poste
•Use case: parcel distribution metadata
•From MySQL to Cassandra
•Holiday load doubles
•4 million parcels/day
•Average day for one of 70,000 postmen
•Scan parcels
•Print parcel list
•Deliver parcels
•Scans remaining, held up to 15 days (TTL)
See also: http://www.slideshare.net/planetcassandra/c-summit-eu-2013-delivering-christmas-gifts-in-france-since-2012
Netflix
•50 clusters, 750+ nodes
•Nearly all data served by Cassandra
•film metadata
•user ratings
•recommendations
•Interesting use case because:
•Sheer size and how much they depend on it
•Multi-region (effectively multi-datacenter) within AWS
•Highly available (through various AWS outages)
See also: http://planetcassandra.org/blog/post/case-study-netflix
Rackspace
•Use case: multi-tenant cloud monitoring services
•Common time series use case
•raw metric data at varying intervals
•raw data expires using TTLs
•Supports
•Ingestion through modular sources
•Rollups
•Servicing queries at various resolutions
•Currently ingests 120 million metrics/hour
•See Blueflood.io for project details
See also: http://www.slideshare.net/gdusbabek/blueflood-open-source-metrics-processing-at-cassandraeu-2013
Questions?
•@jeromatron on twitter and #cassandra irc
•More real world cases
•http://planetcassandra.org/functional-use-cases/
•DataStax
•Cassandra documentation
•Free online training
•Free developer tools

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Apache Cassandra in the Real World

  • 1. ©2013 DataStax Confidential. Do not distribute without consent. Jeremy Hanna Support Engineer Apache Cassandra in the Real World
  • 2. Cassandra Design •Massive scalability •Multi-datacenter •High Performance •Reliability/Availability •no SPOF, no special roles
  • 3. Linear Scalability •Just add more servers •No special node roles
  • 6. Failure is expected •When bad things happen to good clusters •Rapid read protection •Consistency level guarantees •Anti-entropy services •read-repair •hinted handoff •regular repairs
  • 7. Cassandra Design •Massive scalability •High Performance •Reliability/Availability •Ease of use
  • 8. Developer friendly •CQL3 •Collections (List, Map, Set) •User defined types (2.1) •Cassandra native drivers •Native paging •Tracing •DataStax DevCenter tool •Atomic batches •Lightweight transactions •Triggers
  • 9. CQL3 examples CREATE KEYSPACE shire WITH REPLICATION = {'class': 'NetworkTopologyStrategy', 'eu' : 3, 'us-east' : 2}; SELECT * FROM emp WHERE empID IN (130,104) ORDER BY deptID DESC; INSERT INTO excelsior.clicks (userid, url, date, name)
 VALUES (
 3715e600-2eb0-11e2-81c1-0800200c9a66,
 ‘http://cassandra.apache.org',
 ‘2013-10-09', ‘Mary')
 USING TTL 86400; UPDATE users SET email = ‘charlie@wonka.com’ WHERE login = ‘cbucket64' IF email = ‘cbucket@wonka.com’ CREATE USER bombadil WITH PASSWORD 'goldberry4ever' SUPERUSER; GRANT ALTER ON KEYSPACE shire TO gandalf;
  • 10. User defined types CREATE TYPE address ( street text, city text, zip_code int, phones set<text> ) ! CREATE TABLE users ( id uuid PRIMARY KEY, name text, addresses map<text, address> ) ! SELECT id, name, addresses.city, addresses.phones FROM users; ! id | name | addresses.city | addresses.phones --------------------+----------------+-------------------------- 63bf691f | frodo | Shire | {'075114563', '07512314'}
  • 11. Ops Friendly •Simple design •no special role, no single point of failure •Lots of exposed metrics via JMX •Nodes and entire datacenters can go down with no loss of service •Rapid read protection •DataStax OpsCenter •Visual monitoring tool •REST interface to metric data •Free version •Hands-off services
  • 13. Spotify •Use case began with playlist storage •Grew significantly beyond that •Some playlist details •Essentially version control system •More than 1 billion playlists •>40,000 request/second at peak •Off-line mode (both access and changes) •Concurrent changes See also: http://www.slideshare.net/planetcassandra/c-summit-eu-2013-playlists-at-spotify-using-cassandra-to-store-version-controlled-objects
  • 14. La Poste •Use case: parcel distribution metadata •From MySQL to Cassandra •Holiday load doubles •4 million parcels/day •Average day for one of 70,000 postmen •Scan parcels •Print parcel list •Deliver parcels •Scans remaining, held up to 15 days (TTL) See also: http://www.slideshare.net/planetcassandra/c-summit-eu-2013-delivering-christmas-gifts-in-france-since-2012
  • 15. Netflix •50 clusters, 750+ nodes •Nearly all data served by Cassandra •film metadata •user ratings •recommendations •Interesting use case because: •Sheer size and how much they depend on it •Multi-region (effectively multi-datacenter) within AWS •Highly available (through various AWS outages) See also: http://planetcassandra.org/blog/post/case-study-netflix
  • 16. Rackspace •Use case: multi-tenant cloud monitoring services •Common time series use case •raw metric data at varying intervals •raw data expires using TTLs •Supports •Ingestion through modular sources •Rollups •Servicing queries at various resolutions •Currently ingests 120 million metrics/hour •See Blueflood.io for project details See also: http://www.slideshare.net/gdusbabek/blueflood-open-source-metrics-processing-at-cassandraeu-2013
  • 17. Questions? •@jeromatron on twitter and #cassandra irc •More real world cases •http://planetcassandra.org/functional-use-cases/ •DataStax •Cassandra documentation •Free online training •Free developer tools