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How does synchronous replication work in MySQL Cluster?
Synchronous Replication – Data within each data node is synchronously replicated to another data node. Automatic Failover – MySQL Cluster’s heartbeating mechanism instantly detects any failures and automatically fails over, typically within one second, to other nodes in the cluster, without interrupting service to clients.
Why does MySQL Cluster have 99.999% availability?
With its distributed, shared-nothing architecture, MySQL Cluster has been carefully designed to deliver 99.999% availability ensuring resilience to failures and the ability to perform scheduled maintenance without downtime. Protecting against outages:
How does MySQL Cluster protect against downtime?
Figure 1: With no single point of failure, MySQL Cluster delivers extreme resilience to failures. MySQL Cluster also protects against the estimated 30% of downtime resulting from scheduled maintenance activities by allowing on-line operations, including:
Why is geographic replication important in MySQL Cluster?
Shared Nothing Architecture, No Single Point of Failure – each node has its own disk and memory, so the risk of a failure caused by shared components such as storage, is eliminated. Geographical Replication – Geographic replication enables nodes to be mirrored to remote data centers for disaster recovery.
Internally, MySQL Cluster also uses synchronous replication in order to remove any single point of failure from the system. Since two or more nodes are always guaranteed to have the data fragment, at least one node can fail without any impact on running transactions.
What kind of cluster does MySQL use?
MySQL Cluster is a shared nothing, distributed, partitioning system that uses synchronous replication in order to maintain high availability and performance. MySQL Cluster is implemented through a separate storage engine called NDB Cluster.
Which is the first form of replication in MySQL?
The first form is replication, which MySQL has supported since MySQL version 3.23. Replication in MySQL is currently implemented as an asyncronous master-slave setup that uses a logical log-shipping backend. A master-slave setup means that one server is designated to act as the master.
How does a master slave setup work in MySQL?
A master-slave setup means that one server is designated to act as the master. It is then required to receive all of the write queries. The master then executes and logs the queries, which is then shipped to the slave to execute and hence to keep the same data across all of the replication members.