Fluo Tour: Data Model

Tour page 1 of 26

Fluo uses Accumulo’s data model which is based on the BigTable data model. This data model supports a large online sorted map that spans multiple nodes in a cluster. The keys in this map have four components : row, column family, column qualifier, and column visibility.

  • Row : This portion of the key is used to partition data across nodes in a cluster. All data in a row is guaranteed to be stored on single node in the cluster. Different rows may be stored on different nodes. Fluo supports cross row transactions, which mean cross node transactions.
  • Column family : This portion of the key is used to partition data within each node on the cluster. The data model has locality groups which store column families in physically separate partitions on each node. If locality groups are configured, then it allows scanning a subset of rows column families much more quickly.
  • Column Qualifier : This portion of the key is used to define arbitrary columns within a column family.
  • Column Visibility : In Accumulo this portion of the key is used to control access to data.

This data model is schema-less so there is no need to predefine columns. One thing that is defined in the Accumulo data model but is not available in Fluo is timestamps. When using Fluo, the timestamp portion of the key is not available.

In the subsequent pages of the tour the shorthand <row>:<family>:<qualifier> will be used. For example, the following …

row       = kerbalnaut001
family    = name
qualifier = last

… would be written as kerbalnaut001:name:last.

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