Apache cassandra architecture internals

Apache cassandra architecture internals

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  APACHE CASSANDRA Architecture & Internals BH U V A N R A W A L SNAPDEAL.COM
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  BHUVAN RAWAL CASSANDRA -AN OVERVIEW NOSQL-DATABASE.ORG > MASSIVELY SCALABLE > PARTITIONED ROW STORE > MASTERLESS ARCHITECTURE > LINEAR SCALABILITY > NO SINGLE POINT OF FAILURE >  MULTIPLE DC SUPPORT OUT OF BOX
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  BHUVAN RAWAL CASSANDRA -AN OVERVIEW 2008 Open sourced by Facebook on Google Code, in 2009 became an Apache Incubator Project. In 2010 gained top level status at Apache.
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  Can be adaptedfor different class of use cases GENERALPURPOSE Can be available at the loss of Node/Rack/DC AVAILABLE BHUVAN RAWAL KEY FEATURES CASSANDRA - AN OVERVIEW Seamless distribution across datacentres across continents DISTRIBUTED
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  JVM Heap &GC Algorithms Compaction Strategy Key Cache Size Row Cache Compression Chunk Size Speculative Retries Throughput vs Latency tuning KEY TUNABLES BHUVAN RAWAL CASSANDRA - AN OVERVIEW
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  Cassandra is themost popular wide column store - Wikipedia Deployed by 400+ Fortune-500 Firms  667 Companies Verified  on siftery Apple 100,000+ Node Deployment Netflix - 95% Data on Cassandra Uber - 20 Cassandra Clusters, soon will be 100 Spotify - 100+ Production Clusters  SOME USERS BHUVAN RAWAL CASSANDRA - AN OVERVIEW
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  Determines how datais to be stored in nodes Should be same across the cluster Ordered Partitioner Random Partitioner Murmur3 Partitioner PARTITIONER BHUVAN RAWAL CASSANDRA - AN OVERVIEW
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  Determines node placement Allowsto spread enough replicas to handle failures Failure Modes : Node -> Rack -> DC -> Region Tries its best to not have same replica in same rack SNITCH BHUVAN RAWAL CASSANDRA - AN OVERVIEW
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  status health tokens schema version data size phi_threshold GOSSIPPROTOCOL BHUVANRAWAL CASSANDRA - AN OVERVIEW
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  As with mostdatabases, data model is the key to successful deployments & scalability Test thoroughly on stage env Avoid Client Side joins as far as possible Materialized view - Boon for automated denormalization Tune Partition size to not affect cluster abnormally DATA MODEL WWW.AUGUSTA&CO.COM CASSANDRA - AN OVERVIEW
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  BHUVAN RAWAL TEAM Operations Manager CASSANDRA- AN OVERVIEW
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  BHUVAN RAWAL TEAM CEO /Director NANCYD.BROOKS Head Architect RICHARDB.BEVERIDGE Operations Manager JOHNV.POWELL CASSANDRA - AN OVERVIEW
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  WWW.AUGUSTA&CO.COM CASSANDRA - ANOVERVIEW Datastax Driver for Spark: -> Reads localized data off Cassandra Nodes -> Support for Hadoop -> Pig, Hive, Squoop, Mahout -> Solr integration ANALYTICS SUPPORT
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  B H UV A N R A W A L CASSANDRA - AN OVERVIEW -> Memtable -> SSTable - Sorted String -> Index -> Partition Summary -> Bloom Filter -> Compression STORAGE
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  BHUVAN RAWAL FELLOW DATASTORES HBASE RIAK MONGODB AEROSPIKEBIGTABLE SCYLLA CASSANDRA - AN OVERVIEW
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  THANK YOU!   Bhuvan Rawal