28 lines
1.9 KiB
Markdown
28 lines
1.9 KiB
Markdown
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# Wide column store
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## introduction
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![](https://camo.githubusercontent.com/823668b07b4bff50574e934273c9244e4e5017d6/687474703a2f2f692e696d6775722e636f6d2f6e3136694f476b2e706e67)
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[Source: SQL & NoSQL, a brief history](http://blog.grio.com/2015/11/sql-nosql-a-brief-history.html)
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> Abstraction: nested map `ColumnFamily<RowKey, Columns<ColKey, Value, Timestamp>>`
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A wide column store's basic unit of data is a column (name/value pair) . A column can be grouped in column families (analogous to a SQL table) . Super column families further group column families. You can access each column independently with a row key, and columns with the same row key form a row. Each value contains a timestamp for versioning and for conflict resolution.
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Google introduced [Bigtable](http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/chang06bigtable.pdf) as the first wide column store, which influenced the open-source [HBase](https://www.mapr.com/blog/in-depth-look-hbase-architecture) often-used in the Hadoop ecosystem, and [Cassandra](http://docs.datastax.com/en/archived/cassandra/2.0/cassandra/architecture/architectureIntro_c.html) from Facebook. Stores such as BigTable, HBase, and Cassandra maintain keys in lexicographic order, allowing efficient retrieval of selective key ranges.
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Wide column stores offer high availability and high scalability. They are often used for very large data sets.
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## Source(s) and further reading: wide column store
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- [SQL & NoSQL, a brief history](http://blog.grio.com/2015/11/sql-nosql-a-brief-history.html)
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- [Bigtable architecture](http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/chang06bigtable.pdf)
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- [HBase architecture](https://www.mapr.com/blog/in-depth-look-hbase-architecture)
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- [Cassandra architecture](http://docs.datastax.com/en/archived/cassandra/2.0/cassandra/architecture/architectureIntro_c.html)
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