The general workflow when executing a query is as follows: A client application ships an AQL query to the ArangoDB server. 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. The ArangoDB query language (AQL) can be used to retrieve and modify data that are stored in ArangoDB. 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. The algorithm that is used for consistent hashing is the same as libketama. to interface with external non-HTTP APIs). For more complicated scenarios you may want to use Node to build external micro services your Foxx service can tap into (e.g. 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. ArangoDB is a free and open-source native multi-model database system that is designed to support multiple data models against a single, integrated backend. For trivial applications this may mean that you can eliminate the Node server completely and access your Foxx API directly from the client. We use consistent hashing to store the data across different nodes. memcached is built with scaling, high availability and exceptional performance in mind. Memcached is a fully featured Memcached client for Node.js. Memcached - A fully featured Memcached client build on top of Node
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