Datahike database configuration

At database creation Datahike supports features that can be configured based on the application's requirements. As of version 0.2.0 configuration for the storage backend, the schema flexibility, and time variance is supported. Be aware: all these features can be set at database creation but can not be changed afterwards. You can still migrate the data to a new configuration.

Configuration

Configuring Datahike is now possible via the environ library made by weavejester. You can use environment variables, java system properties and passing a config-map as argument.

The sources are resolved in following order:

1. Environment variables
2. Java system properties
3. Argument to load-config

That means passing a config as argument overwrites java system properties and using java system properties overwrite environment variables etc. Currently the configuration map looks like this per default:

{:store              {:backend  :mem        ;keyword
                      :id       "default"}  ;string
 :name               (generated)            ;string
 :schema-flexibility :write                 ;keyword
 :keep-history?      true}                  ;boolean

If you are using a backend different from the builtins :mem or :file, please have a look at the README in the corresponding Github repository. The configuration is outsourced to the backends so you will find the configuration documentation there. An example for :mem, :file, :level and :postgresql-backend you can see downwards. Please refer to the documentation of the environ library on how to use it. If you want to pass the config as environment variables or Java system properties you need to name them like following:

properties	envvar
datahike.store.backend	DATAHIKE_STORE_BACKEND
datahike.store.username	DATAHIKE_STORE_USERNAME
datahike.schema.flexibility	DATAHIKE_SCHEMA_FLEXIBILITY
datahike.keep.history	DATAHIKE_KEEP_HISTORY
datahike.name	DATAHIKE_NAME

etc.

Do not use : in the keyword strings, it will be added automatically.

Storage Backend

Each backend needs a different set of provided parameters. See definition below for further information. For simple and fast creation you can simply use the defaults which creates an in-memory database with ID "default", write schema flexibility, and history support:

(require '[datahike.api :as d])
(d/create-database)

At the moment we support two different backends from within Datahike: in-memory and file-based. LevelDB and PostgreSQL is supported via external libraries: datahike-postgres and datahike-leveldb

in-memory

• <backend>: mem
• id: ID of the database
• example: {:store {backend :mem :id "mem-example"}}
• uri example (deprecated): datahike:mem://mem-example

file-based

• <backend>: file
• path: absolute path to the storage folder
• example: {:store {:backend :file :path "/tmp/file-example"}}
• uri example (deprecated): datahike:file:///tmp/file-example

Supported External Backends

LevelDB

• <backend>: level
• path: absolute path to the LevelDB instance
• example: {:store {:backend :level :path "/tmp/level-example"}}
• uri example (deprecated): datahike:level:///tmp/level-example

PostgreSQL

• <backend>: pg
• username: PostgreSQL instance username
• password: PostgreSQL instance password
• host: PostgreSQL instance host
• port: PostgreSQL instance port
• dbname: name of the PostgreSQL database, must be present in the instance
• example: {:store {:backend :pg :host "localhost" :port 5432 :username "alice" :password "foobar" :dbname "pg_example"}}
• uri example: (deprecated) datahike:pg://alice:foobar@localhost:5432/pg_example

Name

By default Datahike generates a name for your database for you. If you want to set the name yourself just set a name for it in your config. It helps to specify the database you want to use, in case you are using multiple Datahike databases in your application (to be seen in datahike-server).

Schema Flexibility

By default the Datahike api uses a schema on :write approach with strict value types that need to be defined in advance. If you are not sure how your data model looks like and you want to transact any kind of data into the database you can set :schema-flexibility to read. You may add basic schema definitions like :db/unique, :db/cardinality or db.type/ref where these kind of structure is needed.

(require '[datahike.api :as d])

(d/create-database {:schema-flexibility :read})

Have a look at the schema documentation for more information.

Historical Data

Datahike has the capability to inspect and query historical data within temporal indices. If your application does not require any temporal data, you may set :keep-history? to false.

(require '[datahike.api :as d])
(d/create-database {:keep-history? true})

Be aware: when deactivating the temporal index you may not use any temporal databases like history, as-of, or since.

Refer to the time variance documentation for more information.

Deprecation Notice

Starting from version 0.3.0 it is encouraged to use the new hashmap configuration since it is more flexible than the previously used URI scheme. Datahike still supports the old configuration so you don't need to migrate yourself. The differences for the configuration are as following:

• optional parameters are added in the configuration map instead of optional parameters
• :temporal-index renamed to :keep-history?
• :schema-on-read renamed to :schema-flexibility with values :read and :write
• store configuration for backends moved into :store atttribute
• :initial-tx also added as attribute in configuration
• the store configuration is now more flexible, so it fits better with its backends
• all backend configuration remains the same except for :mem
• naming attribute for :mem backend is moved to :id from :host or :path
• optional clojure.spec validation has been added