Cassandra datamodel

Cassandra Data Model http://znest.cn 1

随需应变，快速构建。卓越品质，成就你我！ Column family Column Name Column Family:Emps 5 Name Birthdate City 张三 25/04/1975 长沙 7 Name User_ID City 李四 05/07/1979 北京 Row key Column value Column Family:Deps 12 Name 程序员 13 Name 销售员 2

随需应变，快速构建。卓越品质，成就你我！ Column family vs Select Column Family:Birthdate_Emps 25/04/1975 5 33 … - - 05/07/1979 7 23 … - - select * from Emps where Birthdate = '25/04/1975„ get_slice(keySpace, “25/04/1975”, columnFamily, slicePredicate, ConsistencyLevel.ONE) 3

随需应变，快速构建。卓越品质，成就你我！ Super Column family Super Column Name Column Name Column Family:User_Timelines 25/04/1975 5 33 … Name City … … 张三长沙 05/07/1979 7 … Text City 李四北京 4

随需应变，快速构建。卓越品质，成就你我！ Super Column family & timestamp Super Column Name Column Name Column Family:User_Timelines 25/04/1975 5 33 … Name Name City City … … 张三长沙 Timestamp =1 张三上海 Timestamp =2 05/07/1979 7 … Text City 李四北京 5

随需应变，快速构建。卓越品质，成就你我！ Column family vs Join Column Family:Dep_Emps 12 7 130 … - - 13 5 51 … - - select * from Emps e, Deps d where e.dep_id = d.dep_id get_range_slice(keySpace,columnFamily,slicePredicate,keyRange,ConsistencyLevel.ONE) 6

随需应变，快速构建。卓越品质，成就你我！ Column family vs Group By Column Family:Dep_Emps 长沙 7 23 … - - 北京 5 61 … - - select count(*) from Emps group by City get_count(keySpace, rowkey, columnParent, ConsistencyLevel) 7

Cassandra datamodel

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