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Real world tales of repair - Apache BigData
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Distributed databases inevitably have to deal with entropy. Within Apache Cassandra, the Anti-Entropy process initiated via CLI tools is the way of ensuring consistency of data on disk. Over the many years of the Apache Cassandra project it has also been the biggest operator pain points. Without a solid repair process in place, you had no guarantee that deleted data will not come back to life, or that data is fully distributed to replicas when nodes fail.
In this talk Alexander Dejanovski, Consultant at The Last Pickle, will explain how Anti-Entropy works and why it should be run on your cluster. He will discuss the different types of repair and their effect on data consistency. He will also introduce tools such as Cassandra Reaper and the range repair script to manage scheduling and running repairs in the most efficient way.
