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Connect to, and disconnect from servers, create, list and and drop databases .
A monsterDB database stores many collections, each database acts independently and does not see the contents of other databases. If you drop a a database it will drop all the collections within it. Collections in MonsterDB take two distinct forms, but they act very similar to each other, there are normal collections and fuzzy collections.
Briefly a collection stores one or many documents, these documents are in monsterDB JSON format, which is the same as a standard JSON document but can also store additional tagged objects such as images, document references and identifiers. To use the following Commands you must have created a collection to work with. Collections are independent, but they can store document references to documents in other collections.
Pipelines allow us to chain together monsterDB commands to create various process that are executed by the optimiser or fuzzy matching system. the pipeline consists of a set of statements in a list and can be executed either at the Command Line (CLI) or via the API
Operators allow you to specify the behaviour of the system, like using logical statements (or, and) expressions are multiple function type statements built up in a document structure.
Data can currently be loaded into monsterDB in one of three ways, using a standard insert/save command either from the API or the Command Line interface, using the bulk saveMany command that will effectively perform an “upsert” into the collection or using the loadFile command, an alternate loadJDBC method is currently under construction.
Fuzzy commands will configure the fuzzy capability of the installation and the collection, examples of this include the definition of match and fuzzy indexes plus the ability to influence the controlled vocabulary system (nicknames, synonyms, antonyms, etc)
monsterCLI is used to start a database server, connect to a database server or run a loadFile process, the commands are detailed below
Fuzzy commands will configure the fuzzy capability of the installation this page shows the command available to influence the controlled vocabulary system (nicknames, synonyms, antonyms, etc)