Your SlideShare is downloading. ×
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
The Matrix and DataStax
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

The Matrix and DataStax

628

Published on

By: Hayato Shimizu

By: Hayato Shimizu

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
628
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
19
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. What%is%Cassandra?% •  Apache Cassandra™ is a massively scalable NoSQL database. •  Cassandra is designed to handle big data workloads across multiple data centers with no single point of failure, providing enterprises with continuous availability without compromising performance.
  • 2. Why%Cassandra% •  Fast / Linear scalability •  Elastic •  No single point of failure •  Very little moving parts •  Enterprise / multi-data center / cloud data distribution •  Location independence – read and write anywhere •  Dynamic / Flexible data structure •  Tunable data consistency (per operation) •  Data compression •  Cloud ready •  Familiar SQL-Like language – CQL •  Easy setup •  No special hardware needed •  No special caching layer needed
  • 3. 4% 2% 3% 1% data1% data1% data2% data2%
  • 4. Network%Topology%
  • 5. Data%Consistency% •  Any% •  One% •  Quorum% •  Local_Quorum% •  Each_Quorum% •  All% Writes% •  One% •  Quorum% •  Local_Quorum% •  Each_Quorum% •  All% Reads%
  • 6. Durable%Writes% INSERT%INTO…% Commit&log& memtable& SSTable&
  • 7. Data%Structure% Keyspace:&Matrix&&&&&&replica7on_factor:&3& Column%Family:%character_locaLons% day1% morphius:<7meuuid>:&coordinates%neo:<7meuuid>:&coordinates% day1:neo% <7meuuid>:&coordinates% day1:morph% <7meuuid>:&coordinates% <7meuuid>:&coordinates% <7meuuid>:&coordinates% Column%Family:%character_informaLon% neo% DOB:&2600H06H27%Actor:&Keanu&Reeves% email1:&Neo@matrix% email2:&mr.anderson@vr.net%
  • 8. Overview%of%DataStax% •  Founded in April 2010 •  Commercial leader in Apache Cassandra™ •  300+ customers (including 20 of the Fortune 100) •  100+ employees •  Home to Apache Cassandra Chair & most committers •  Headquartered in San Mateo •  Funded by prominent venture firms
  • 9. DataStax%Enterprise%Architecture%
  • 10. DataStax%Cassandra% •  Kerberos%authenLcaLon% •  Encrypted%data%at%rest% •  AudiLng% •  iSECpartners%validated%
  • 11. <schema%name="wikipedia"%version="1.1">% %<types>% %%<fieldType%name="string"%class="solr.StrField"/>% %%<fieldType%name="text"%class="solr.TextField">% %%%%<analyzer><tokenizer%class="solr.WikipediaTokenizerFactory"/></analyzer>% %%</fieldType>% %</types>% %<fields>% %%%%<field%name="id"%%type="string"%indexed="true"%%stored="true"/>% %%%%<field%name="name"%%type="text"%indexed="true"%%stored="true"/>% %%%%<field%name="body"%%type="text"%indexed="true"%%stored="true"/>% %%%%<field%name="Ltle"%%type="text"%indexed="true"%%stored="true"/>% %%%%<field%name="date"%%type="string"%indexed="true"%%stored="true"/>% %</fields>% %<defaultSearchField>body</defaultSearchField>% %<uniqueKey>id</uniqueKey>%
  • 12. Searching%Data% HTTP& curl%"hZp://localhost:8983/solr/wiki.solr/select?%q=Ltle%3AnaLo%2A%20AND %20Ltle%3A%5B2000%20TO%202010%5D"%% & & CQL3& use%wiki;% select%Ltle%from%solr%where%solr_query='Ltle:naLo*%AND%Ltle:[2000%TO%2010]';%% %
  • 13. Workload%IsolaLon% Solr% C*% C*% C*% C*% Solr% Solr% Solr% Solr%Queries% Cassandra%Queries%
  • 14. Hive% •  {LEFT|RIGHT|FULL}%[OUTER]%JOIN% •  GROUP%BY% •  {SORT|DISTRIBUTE|CLUSTER|ORDER}%BY% •  UNION% •  Sub%Queries% %
  • 15. Hive%p>%Cassandra%Example% DROP%TABLE%IF%EXISTS%StockHist;% CREATE%EXTERNAL%TABLE% StockHist(row_key%string,%column_name%string,%value%double)% STORED%BY%'org.apache.hadoop.hive.cassandra.Cassand%raStorageHandler’% WITH%SERDEPROPERTIES%("cassandra.ks.name"%=%"PorvolioDemo",%% "cassandra.cf.validatorType"%=%"UTF8Type,UTF8Type,DoubleType"%);%% %
  • 16. Pig% cassandra_data%=%LOAD%'cassandra://<keyspace>/<CF>'%% USING%CassandraStorage()%AS%(name,%columns:%bag%{T:%tuple(score,%value)});% % total_scores%=%FOREACH%cassandra_data%GENERATE%name,% COUNT(columns.score),%LongSum(columns.score)%as%total%PARALLEL%3;% % ordered_scores%=%ORDER%total_scores%BY%total%DESC%PARALLEL%3;% % STORE%ordered_scores%INTO%'cfs:///final_scores.txt'%USING%PigStorage();%
  • 17. Workload%IsolaLon% H*% C*% C*% C*% C*% H*% Solr% Solr% Solr%Queries% Cassandra%Queries% Hadoop%AnalyLcs%
  • 18. Cassandra%Roadmap% %

×