fifinet

fifinet

Tiny in-memory graph database and query engine implementation.

The query engine looks a lot like the Gremlin traversal engine, and this module is heavily based upon Dagoba by Dann Toliver.

What's this?

This is a tiny implementation of an in-memory graph database, with a non-optimized but functional query engine based on a fluent API.

The graph is a property graph, which means that vertices and edges can have arbitrary properties which you can use to store information in.

You can then use the query functionality to query the database.

Creating a graph

Define your own types to hold the properties of vertices and edges.

On vertices, the _id property is special: it will hold the ID of the vertex. You can provide one, otherwise one will be assigned automatically.

On edges, the _label property is special: it is the type of edge. It is optional, in case you only have one type of edge.

Creating a graph looks like this:

import * as fn from 'fifinet';

interface GreekProps {
  species: 'god' | 'titan' | 'halfgod' | 'mortal';
}

interface EdgeProps {
}

const graph = new fn.Graph<GreekProps, EdgeProps>(
  [
    { _id: 'zeus',       species: 'god' },
    { _id: 'herakles',   species: 'halfgod' },
    { _id: 'alcmene',    species: 'mortal' },
    { _id: 'amphitryon', species: 'mortal' },
  ], [
    { _out: 'amphitryon', _in: 'alcmene',    _label: 'marriedTo' },
    { _out: 'alcmene',    _in: 'amphitryon', _label: 'marriedTo' },
    { _out: 'zeus',       _in: 'amphitryon', _label: 'impersonates' },
    { _out: 'zeus',       _in: 'alcmene',    _label: 'rapes' },
    { _out: 'herakles',   _in: 'zeus',       _label: 'childOf' },
    { _out: 'herakles',   _in: 'alcmene',    _label: 'childOf' },
  ],
);

The graph object also has methods to mutate and inspect the graph:

graph.addVertices([
  { _id: 'perseus', species: 'mortal' },
  { _id: 'electryon', species: 'mortal' },
]);
graph.addEges([
  { _out: 'perseus',   _in: 'zeus',      _label: 'childOf' },
  { _out: 'electryon', _in: 'perseus',   _label: 'childOf' },
  { _out: 'alcmene',   _in: 'electryon', _label: 'childOf' },
]);

Querying

Querying starts with the graph.v() function, which selects one or more vertices from the graphs. You then chain a number of operations onto the query, before finally calling run() to execute the query:

const results = graph.v()./* any number of operations here */.run();

For example, to find all the parents of Herakles:

const results = graph.v('herakles').out('childOf').run();

Graph: v()

Returns a set of nodes to start the query. The following filter call patterns are accepted:

graph.v()                      // All nodes
graph.v('zeus')                // Single ID
graph.v(['zeus', 'herakles'])  // Multiple IDs
graph.v({ species: 'god' })    // Filter by example

Query: in()/out()/inAny()/outAny()

Traverse edges from the currently selected set of nodes:

• in, out: traverse one edge either coming into or going out of the current node.
• inAny, outAny: traverse one or more edges either coming into or going out of the current node.

Takes an argument filtering the edges:

graph.v().out()                         // All outgoing edges
graph.v().out('marriedTo')              // Single label
graph.v().out(['marriedTo', 'childOf']) // Multiple labels
graph.v().out({ _label: 'marriedTo' })  // Filter by example

Query: property()

For convenience, return a properties from each vertex in the query result set, instead of returning the whole query object.

graph.v('zeus').in('childOf').property('species').run()

Query: filter()

Filter the current set of nodes down by subsetting it.

query.filter({ species: 'mortal' })                 // Filter by example
query.filter(vertex => vertex.species === 'mortal') // Filter by callback

Example:

graph.v()
  .filter({ species: 'halfgod' })
  .run()

Query: unique()

If the query would yield duplicate nodes, return only the unique ones.

graph.v('zeus')
  .in('childOf')
  .out('childOf') // This would return Zeus as many times as he has children
  .unique()       // Suppress duplicate Zeuses
  .run()

Query: take()

Instead of returning all results, return only the next N.

You can run the query multiple times to obtain multiple subsets of results:

const query = graph.v().take(2);

query.run(); // Returns the first 2 nodes
query.run(); // Returns the next 2 nodes, etc.

Query: as()

Label the current set of vertices in the query with an alias. This can be used to refer back to the current vertex set later on, using other operators like merge(), except() and back().

g.v().as('root')

Query: merge()

Replace the current vertex set with those of one or more aliases from previous node sets.

To return Zeus' children and grandchildren:

g.v('zeus')
  .in('childOf').as('children')
  .in('childOf').as('grandchildren')
  .merge('children', 'grandchildren')
  .run()

Query: except()

Exclude the vertices from a previously named vertex set from the current set of vertices.

The following returns all of Herakles' siblings who aren't Herakles:

g.v('herakles').as('me')
  .out('childOf').in('childOf')
  .except('me')
  .run()

Query: back()/having()

Back returns to a previous vertex in the query, but only if the query so far has been successful.

The following returns all nodes that have mortal children:

g.v().as('me')
  .in('childOf').filter({ species: 'mortal' })
  .back('me')
  .unique()
  .run()

having() can be used as an alias for as()/back()/unique():

g.v()
  .having(me => me.in('childOf').filter({ species: 'mortal' ]))
  .run()