It's also possible to automatically remove the affected server from the consistent hashing algorithm or provide memcached with a failover server that can take the place of the unresponsive server. Instead, connections are established on the fly for each request and are destroyed afterwards. There are different ways to handle errors for example, when a server becomes unavailable you can configure the client to see all requests to that server as cache misses until it goes up again. ArangoDBClient \ Connection Provides access to the ArangoDB server As all access is done using HTTP, we do not need to establish a persistent connection and keep its state. The algorithm that is used for consistent hashing is the same as libketama. Consistent hashing is a scheme that provides a hash table functionality in a way that adding or removing a server node does not significantly change the mapping of the keys to server nodes. We use consistent hashing to store the data across different nodes. memcached is built with scaling, high availability and exceptional performance in mind. Though that server-generated is predictable for the client application, it will enable you to access each document via its unique key later. See the sample arangodb.d/conf.yaml for all available configuration options. Each document in ArangoDB has a key attribute, which will be filled with some value automatically when not being provided by the client application. Memcached is a fully featured Memcached client for Node.js. Edit the arangodb.d/conf.yaml file in the conf.d/ folder at the root of your Agent’s configuration directory to start collecting your ArangoDB performance data. Memcached - A fully featured Memcached client build on top of Node
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