A library for storing graph data in a Clojure map that automatically normalizes nested data and allows querying via EQL, optimized for read (query) performance.
The primary use case this library was developed for was to act as a client side cache for pathom APIs. However, you can imagine any time you might reach for DataScript to store data as entities, but where you need fast nested / recursive querying of many attributes and don't need the full expressive power of datalog, as being a good use case for autonormal.
While feature complete, it has not been used in production yet.
A db
is simply a map with a tabular structure of entities, potentially with
references to other entities.
Autonormal currently makes a default conventional assumption: your entities
are identified by a keyword whose name is "id"
, e.g. :id
, :person/id
,
:my.corp.product/id
, etc.
(require '[autonormal.core :as a])
(def data
{:person/id 0 :person/name "Rachel"
:friend/list [{:person/id 1 :person/name "Marco"}
{:person/id 2 :person/name "Cassie"}
{:person/id 3 :person/name "Jake"}
{:person/id 4 :person/name "Tobias"}
{:person/id 5 :person/name "Ax"}]})
;; you can pass in multiple entities to instantiate a db, so `a/db` gets a vector
(def animorphs (a/db [data]))
;; => {:person/id {0 {:person/id 0
;; :person/name "Rachel"
;; :friend/list [[:person/id 1]
;; [:person/id 2]
;; [:person/id 3]
;; [:person/id 4]
;; [:person/id 5]]}
;; 1 {:person/id 1 :person/name "Marco"}
;; 2 {:person/id 2 :person/name "Cassie"}
;; 3 {:person/id 3 :person/name "Jake"}
;; 4 {:person/id 4 :person/name "Tobias"}
;; 5 {:person/id 5 :person/name "Ax"}}}
The map structure of a db is very efficient for getting info about any
particular entity; it's just a get-in
away:
(get-in animorphs [:person/id 1])
;; => {:person/id 1 :person/name "Marco"}
You can assoc
/dissoc
/update
/etc. this map in whatever way you would like.
However, if you want to accrete more potentially nested data, there's a helpful
add
function to normalize it for you:
;; Marco and Jake are each others best friend
(def animorphs-2
(a/add animorphs {:person/id 1
:friend/best {:person/id 3
:friend/best {:person/id 1}}}))
;; => {:person/id {0 {:person/id 0
;; :person/name "Rachel"
;; :friend/list [[:person/id 1]
;; [:person/id 2]
;; [:person/id 3]
;; [:person/id 4]
;; [:person/id 5]]}
;; 1 {:person/id 1
;; :person/name "Marco"
;; :friend/best [:person/id 3]}
;; 2 {:person/id 2 :person/name "Cassie"}
;; 3 {:person/id 3
;; :person/name "Jake"
;; :friend/best [:person/id 1]}
;; 4 {:person/id 4 :person/name "Tobias"}
;; 5 {:person/id 5 :person/name "Ax"}}}
Note that our animorphs
db is an immutable hash map; add
simply returns the
new value. It's up to you to decide how to track its value and keep it up to
date in your system, e.g. in an atom.
Maps that are add
ed are typically entities, but you can also add arbitrary
maps and add
will merge the map with the database, normalizing and referencing
any nested entities. Example:
(def animorphs-3
(a/add animorphs-2 {:species {:andalites [{:person/id 5
:person/species "andalite"}]}}))
;; => {:person/id {,,,
;; 5 {:person/id 5
;; :person/name "Ax"
;; :person/species "andalite"}}
;; :species {:andalites [[:person/id 5]]}}
This library implements a fast EQL engine for Clojure data.
(a/pull animorphs-3 [[:person/id 1]])
;; => {[:person/id 1] {:person/id 1
;; :person/name "Macro"
;; :friend/best {:person/id 3}}}
You can join on idents and keys within entities, and it will resolve any references found in order to continue the query:
(a/pull animorphs-3 [{[:person/id 1] [:person/name
{:friend/best [:person/name]}]}])
;; => {[:person/id 1] {:person/name "Marco"
;; :friend/best {:person/name "Jake"}}}
Top-level keys in the db can also be joined on.
(a/pull animorphs-3 [{:species [{:andalites [:person/name]}]}])
;; => {:species {:andalites [{:person/name "Ax"}]}}
Recursion is supported:
(def query '[{[:person/id 0] [:person/id
:person/name
{:friend/list ...}]}])
(= (-> (a/pull animorphs-3 query)
(get [:person/id 0]))
data)
;; => true
See the EQL docs and tests in this repo for more examples of what's possible!
Copyright © 2020 Will Acton. Distributed under the EPL 2.0.
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