mirror of https://github.com/apache/kafka.git
MINOR: Fix small typo in design section
Sentence was missing "as", minor grammar clean up. Author: Paul Cavallaro <paulcavallaro@gmail.com> Reviewers: Ewen Cheslack-Postava <ewen@confluent.io> Closes #1151 from paulcavallaro/docs-fix
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@ -300,7 +300,7 @@ Log compaction is a mechanism to give finer-grained per-record retention, rather
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<p>
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This retention policy can be set per-topic, so a single cluster can have some topics where retention is enforced by size or time and other topics where retention is enforced by compaction.
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<p>
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This functionality is inspired by one of LinkedIn's oldest and most successful pieces of infrastructure—a database changelog caching service called <a href="https://github.com/linkedin/databus">Databus</a>. Unlike most log-structured storage systems Kafka is built for subscription and organizes data for fast linear reads and writes. Unlike Databus, Kafka acts a source-of-truth store so it is useful even in situations where the upstream data source would not otherwise be replayable.
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This functionality is inspired by one of LinkedIn's oldest and most successful pieces of infrastructure—a database changelog caching service called <a href="https://github.com/linkedin/databus">Databus</a>. Unlike most log-structured storage systems Kafka is built for subscription and organizes data for fast linear reads and writes. Unlike Databus, Kafka acts as a source-of-truth store so it is useful even in situations where the upstream data source would not otherwise be replayable.
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<h4><a id="design_compactionbasics" href="#design_compactionbasics">Log Compaction Basics</a></h4>
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