Keyspace (distributed data store) explained

A keyspace (or key space) in a NoSQL data store is an object that holds together all column families of a design.^{[1] [2]} It is the outermost grouping of the data in the data store.^[3] It resembles the schema concept in Relational database management systems.^[4] Generally, there is one keyspace per application.

Structure

A keyspace may contain column families or super columns. Each super column contains one or more column families, and each column family contains at least one column. The keyspace is the highest abstraction in a distributed data store. This is fundamental in preserving the structural heuristics in dynamic data retrieval.^[5] Multiple relay protocol algorithms are integrated within the simple framework.^[6]

Comparison with relational database systems

The keyspace has similar importance like a schema has in a database. In contrast to the schema, however, it does not stipulate any concrete structure, like it is known in the entity-relationship model used widely in the relational data models. For instance, the contents of the keyspace can be column families, each having different number of columns, or even different columns. So, the column families that somehow relate to the row concept in relational databases do not stipulate any fixed structure. The only point that is the same with a schema is that it also contains a number of "objects", which are tables in RDBMS systems and here column families or super columns.

So, in distributed data stores, the whole burden to handle rows that may even change from data-store update to update lies on the shoulders of the programmers.

Examples

As an example, we show a number of column families in a keyspace. The CompareWith keyword defines how the column comparison is made. In the example, the UTF-8 standard has been selected. Other ways of comparison exist, such as AsciiType, BytesType, LongType, TimeUUIDType. 0.01

Another example shows a simplified Twitter clone data model:

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External links

• Cassandra – Getting Started (Java)

Notes and References

1. Web site: 2011-03-28. Ronald Mathies. 2010-03-18. Sodeso - Software Development Solutions. Installing and using Apache Cassandra With Java Part 2 (Data model): Keyspaces. Keyspaces are quite simple again, from an RDBMS point of view you can compare this to your schema, normally you have one per application. A keyspace contains the ColumnFamilies. Note, however, there is no relationship between the ColumnFamilies. They are just separate containers.. 2014-02-03. https://web.archive.org/web/20140203031918/http://www.sodeso.nl/?p=108. dead.
2. Web site: 2011-03-31. Cassandra Wiki. Overview: Terminology/Abbreviations: Keyspace. [A Keyspace] Contains multiple Column Families.. 2013-07-23. https://web.archive.org/web/20130723235200/http://wiki.apache.org/cassandra/API. dead.
3. Web site: 2011-03-25. Arin Sarkissian. 2010-08-23. Arin Sarkissian's blog. WTF is a SuperColumn? An Intro to the Cassandra Data Model. A Keyspace is the outer most grouping of your data. All your ColumnFamily‘s go inside a Keyspace. Your Keyspace will probably named after your application.. https://web.archive.org/web/20101231040712/http://arin.me/blog/wtf-is-a-supercolumn-cassandra-data-model. 2010-12-31. dead.
4. Web site: Playing with Cassandra and Oracle. Guy Harrison. 2010-08-23. Terminology in NoSQL. Guy Harrison's Web bits. 2011-03-25. In Cassandra:It can be confusing, with each NoSQL database using terms differently from each other, and all of them using terms differently from RDBMS..
5. Fagin. etal . Extendible hashing—a fast access method for dynamic files . ACM Transactions on Database Systems . 2009 . 41 . 3 . 315–344.
6. Fu. etal . Security Issues and Solutions of the Key Management Protocols in Multi-Hop Relay Network . IEICE Transactions on Communications . 94 . 5 . 1295–1302.