A Log Structured Store for Streaming Data

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Wall Street & Tech Digital Library > Data Latency >

Source: Aleri

Date: February 2008

Type: Data Sheet

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Overview: Event stream processing systems have focused on in-memory databases to achieve high performance, but there are several classes of application that require the persistence of some subset of the events processed and/or results produced at very high data rates. This paper describes a facility for streaming data to disk using a versioned AVL-tree index layered over an append-only log-structured store that operates at between 45-60% the throughput of an in-memory red-black tree or hash table.

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