The goal of this experimental backend is to support DynamoDB. DynamoDB is has low latency and requires no dedicated running process for reading, but has higher cost than using a local file system, S3 or a JDBC server as backend. It is therefore optimal to store small databases that need to be updated and read quickly.
Please read the Datahike configuration docs on how to configure your backend. Details about the backend configuration can be found in konserve-dynamodb. Set your AWS_ACCESS_KEY
and AWS_SECRET_ACCESS_KEY
environment variables. A sample configuration for create-database
, connect
and delete-database
is (you can optionally pass the keys in the config, but this is only recommended for development and testing):
{:store {:backend :dynamodb
:table "my-datahike-db"
:region "us-west-1"
:access-key "YOUR_ACCESS_KEY"
:secret "YOUR_ACCESS_KEY_SECRET"}}
This same configuration can be achieved by setting one environment variable for the dynamodb backend and one environment variable for the configuration of the dynamodb backend:
DATAHIKE_STORE_BACKEND=dynamodb
DATAHIKE_STORE_CONFIG='{:table "datahike-dynamodb-instance" ...}'
Add to your Leiningen or Boot dependencies:
Now require the Datahike API and the datahike-dynamodb namespace in your editor or REPL using the
keyword :dynamodb
. If you want to use other backends than dynamodb please refer to the official
Datahike docs.
(ns project.core
(:require [datahike.api :as d]
[datahike-dynamodb.core]))
(def cfg {:store {:backend :dynamodb
:region "us-west-1"
:table "my-datahike-db"}})
;; Create a database at this place, by default configuration we have a strict
;; schema validation and keep historical data
(d/create-database cfg)
(def conn (d/connect cfg))
;; The first transaction will be the schema we are using:
(d/transact conn [{:db/ident :name
:db/valueType :db.type/string
:db/cardinality :db.cardinality/one }
{:db/ident :age
:db/valueType :db.type/long
:db/cardinality :db.cardinality/one }])
;; Let's add some data and wait for the transaction
(d/transact conn [{:name "Alice", :age 20 }
{:name "Bob", :age 30 }
{:name "Charlie", :age 40 }
{:age 15 }])
;; Search the data
(d/q '[:find ?e ?n ?a
:where
[?e :name ?n]
[?e :age ?a]]
@conn)
;; => #{[3 "Alice" 20] [4 "Bob" 30] [5 "Charlie" 40]}
;; Clean up the database if it is not needed any more
(d/delete-database cfg)
bash -x ./bin/run-integration-tests
Copyright © 2024 Christian Weilbach
This program and the accompanying materials are made available under the terms of the Eclipse Public License 1.0.