How Raft consensus algorithm will make replication even better in MongoDB 3.2
Базы данных, системы хранения

Доклад принят в Программу конференции
MongoDB

Henrik Ingo – архитектор решений MongoDB, а сейчас ведущий инженер по производительности в Mongo DB. Специализируется на повышении производительности MongoDB и обеспечении высокой доступности, а иногда и на преобразовании XML-документов в JSON.
До MongoDB в течение многих лет работал в мире MySQL и LAMP с MySQL, MariaDB, Drizzle, Percona, WebScaleSQL, MySQL Cluster и Galera Cluster. Он также является контрибьютором в ядро Drupal 7.
Автор книги «Открытая жизнь: философия Open Source» (англ. "Open Life: The Philosophy of Open Source").

Henrik Ingo has worked 5 years at MongoDB. Initially as a Solutions Architect working with European customers, he's now in R&D on the performance team. Prior to MongoDB he was active - and an activist - in the MySQL space, and employed by MySQL (MySQL NDB Cluster team), MariaDB and Galera Cluster. Henrik is the author of the book "Open Life: The Philosophy of Open Source"

How Raft consensus algorithm will make replication even better in MongoDB 3.2 / Henrik Ingo (MongoDB) from Ontico

Тезисы

MongoDB exhibits a fairly classic leader-based replication architecture, with builtin automatic provisioning and failovers. Since it was developed, an academic paper from Stanford has introduced a distributed consensus algorithm called Raft - which happens to be rather similar to the home grown algorithm of MongoDB. This talk will give a brief overview of Raft and how we are retrofitting some of it into MongoDB 3.2 to make our replication even more robust.

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