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Design Documentation and Vision

Introduction

This document describes the design of the data-driven microservice container "Vase."

It describes the service model and describes all operations, URIs/destinations, and input/output formats.

This document elaborates on the constraints, trade-offs, formats, and general architecture of the system.

This is a living document, it should evolve along with the system.

Commonly used terms

  • Core Service - The main Vase container service, which hosts other data-described APIs
  • API - A service contained within the container; a hosted service within the core service
  • edn - Also EDN; Extensible Data Notation; a data serialization notation, like JSON

Vase

Motivation

For many reasons, we are moving into a world of microservices. We have found that the majority of microservices contain duplicated, mechanical code. All microservices must perform similar functions:

  • Define HTTP routes
  • Map input bodies and parameters into transaction
  • Run queries and format results
  • Validate inputs

In fact, most such services can be described in a data format. We wanted to take that data format from a static artifact to something you could actually run. With Vase, we can take a data definition of what a service should do and turn it into a running service.

Design Goals

Our design objectives are as follows, in priority order:

  1. Radically shorten the time needed to deliver microservices.
  2. Achieve production quality
  3. To ensure the system can easily evolve and adapt

Design Non-goals

These are the things we have decided not to work towards in Vase. That doesn't mean we expect to prevent them. Indeed, some may "fall out" of our implementation. However, we are not considering them when making trade offs.

  1. Solving the general problem of mapping data into databases.
  2. Supporting arbitrary input formats.
  3. Supporting arbitrary output formats.
  4. Accommodating legacy schemata from existing applications.
  5. Databases other than Datomic.
  6. Web servers other than Pedestal.
  7. Java API

Prototyping or Production?

Early prototypes of Vase allowed APIs to be submitted at runtime. That is, Vase itself had an API to create APIs. We have removed that feature for the present, for three reasons:

  1. While it is very helpful for prototyping, that approach conflicts with release management practices for production level software.
  2. We only want to commit to a limited "surface area" at this time. We can re-add dynamic APIs in the future, but if we release them now we're stuck with them forever.
  3. We did not have a good means to synchronize changes to APIs across multiple instances of Vase. This also reflects it's origin as a rapid prototyping tool.

Design

Vase is an on-demand container service, using Pedestal and Datomic, that allows us to write concise descriptions of data formats and API definitions, then have a generic service bring that description to life.

Vase will be delivered as a library that can be incorporated into an existing Pedestal service.

Vase will also deliver an application template that can create an entire service from scratch.

On-demand Container Service

Vase is an API Container. It allows us to create microservice APIs from just a description of the routes, data model, and actions to execute. This description is itself stored as data. The Vase runtime should not need modification for the majority of "CRUD" services.

Using Pedestal

Vase is an addition to Pedestal. Vase creates routes that Pedestal then serves. The interface between Vase and Pedestal is just data.

The main service is purely additive to Pedestal. Developers can incorporate Vase in an existing Pedestal service. Likewise, developers can use Vase and add route written in a traditional means.

Vase will not provide every capability needed to build an application. Its purpose is fast delivery of simple services.

Vase allows "mixing in" features via Pedestal interceptors. A Vase service can have arbitrary developer-provided interceptors in its routes.

Using Datomic

Vase maps its data to Datomic. Schema for the data model is expressed in terms of Datomic attributes. Transactions return Datomic tx-results. Queries are written in Datomic's datalog format. Queries will support Datomic's "pull" syntax as well as "tuple" syntax.

We have no plan to extend Vase for other databases at this time.

Concise Description

Vase uses Clojure data structures, written in EDN and stored in files to describe its data models, specifications, and APIs.

One Vase instance can use multiple description files.

One Vase instance can support multiple APIs.

Complete specifications for a Vase description can be found in src/com/cognitect/vase/spec.clj. :com.cognitect.vase.spec/spec is the root of a description file.

Description files are nested maps. At even-numbered levels of the map, the keys are predefined by Vase. At odd-numbered levels, excluding the first level, keys are user-provided names of APIs, schemas, and specs.

Example:

{:activated-apis [ ,,, ]
 :datomic-uri    " ,,, "
 :descriptor
 {:vase/norms {:user.provided/name {:vase.norm/txes [ ,,, ] } }
  :vase/apis  {:user.provided/api  {:vase.api/routes { ,,, } } }
  :vase/specs { ,,, }}}

Validation Using Clojure.spec

The APIs that Vase hosts are all described in data. Vase functions use clojure.spec to ensure the integrity and correctness of API descriptions.

State and data management

The core service and APIs are largely stateless - request identity is only maintained for that given request. The core service and the hosted APIs do not remember anything about previous requests (beyond what was transacted into persistent/durable data). Data is only transacted into persistent storage if it is submitted. Routes that accept POST submissions are configured per API.

API-specific data that is persisted in the database is owned by that API. An API may only reference data that it owns. Consumers of the API (other services, mobile apps, etc), may choose to integrate data from various APIs. Unifying data across APIs is a design challenge for API designers. There is nothing within Vase that helps or hinders unifying data.

Reader Literals

The primary input to Vase is an EDN file. Clojure's reader literals offer a concise way to extend the input format while maintaining uniform syntax. Vase makes use of reader literals for:

  • Actions (i.e., interceptors) on routes
  • Attribute definitions in schemas

Norms

"Norms" refer to fragments of schema that must exist for an API to function.

Norm Identity

The service can apply any number of norms. Each one is uniquely identified by a namespaced keyword.

Norm Transactions

A norm comprises:

  • :vase.norm/txes - A sequence of transaction data (tx-data) that will be transacted in Datomic at initialization time. Each tx-data is a vector of transactions (see below).
  • :vase.norm/requires - A collection of norm names that this schema requires. Vase ensures that all the required schemas are transacted before this one.

Norms are idempotent, so Vase transacts them at each startup.

The norms are captured as a map, with namespaced-keyword keys, and map values that hold the schema transactions, or txes. For example:

{:vase/norms
 {:example-app/base-schema
  {:vase.norm/txes [[{:db/id #db/id [:db.part/db]
                      :db/ident :something/title
                      :db/valueType :db.type/string
                      :db/cardinality :db.cardinality/one
                      :db/index false
                      :db/doc "A simple title"
                      :db.install/_attribute :db.part/db}
                      ,,,]]}}
 :vase/apis
 {:example-app/v1
  {:vase.api/routes [[ ... ]]
   :vase.api/schemas [:example-app/base-schema ...]}}}

Each API specifies which of these schema segments it uses, captured as a vector of keywords (the norm keys). This ensures the data is modeled appropriately per API version when queries run or data is transacted.

Schema-tx Reader Literal

Tx-data can also be described using a reader literal for shorthand. The #vase/schema-tx literal takes a vector of vectors. The inner vector is interpreted as follows:

  • The :db/ident of the attribute
  • The cardinality of the attribute, written as :one or :many
  • The type of the attribute, written as a simple keyword (e.g., for :db.valueType/string, use :string.)
  • An optional qualifier. One of :unique, :identity, :index, :fulltext, or :component
  • A doc string

The optional qualifiers describe attributes that contain :unique values, that the DB should :index, or that allow :fulltext search. :fulltext also implies :index. You can also say an entity's unique :identity can be determined by an attribute. You may also state that a ref-attribute is a :component of another entity.

The schema above using the short form would look like:

{:vase/norms
 {:example-app/base-schema
  {:vase.norm/txes [#vase/schema-tx [[:something/title :one :string "A simple title"]]]}}

 :vase/apis
 {:example-app/api
   {:vase.api/routes [[ ... ]]
    :vase.api/schemas [:example-app/base-schema ...]}}}

Specs

Specs appear under the :vase/specs key. The value of this key is a map of spec name to spec.

Specs are identical to those that would be written in Clojure source code.

For example, the following might be found in code:

(s/def :example.app.v1/age #(> % 21))

This would translate into the following spec in a Vase description:

{:vase/specs
 {:example.app.v1/age (fn [age] (> age 21))}}

APIs can apply specs using the #vase/validate action.

APIs

API Identity

The service hosts any number of external APIs; each uniquely identified via namespaced keyword.

API Roots

Each API will construct routes beneath a common "root". That root is external to the API and should not appear anywhere within the API description or code.

API description

APIs are defined under the :vase/apis key. The value of this key is a map of API names to definitions.

API names are namespaced keywords. The API name becomes part of its routes' URLs as follows:

  • Every '.' in the keyword is replaced with a '/'.
  • The '/' between the namespace and name is left in place.
  • Non URL characters are URL-encoded.

The definition of an API has the following top-level keys:

  • :vase.api/routes - A route map (see below)
  • :vase.api/schemas - A collection of schema names. When this API is activated, these schemas will be transacted into the database.
  • :vase.api/forwarded-headers - A collection of strings. Any request headers matching these strings are passed through into the response headers.
  • :vase.api/interceptors - A collection of interceptors that will be prepended to the action interceptors for every route.

An API describes its routes and required schema in a hashmap. See the example below:

{:vase/apis
 {:example.app/v1
  {:vase.api/schemas [:example/base-schema ,,,]
   :vase.api/routes  { ,,, }}}

In the example above, we've described a new API called, :example.app/v1. It also specifies the norms that this API requires.

Input and Output formats

All hosted API operations use JSON as the data exchange format.

Each operation defines its own format.

Response status codes and payload navigation

All HTTP operations return an HTTP status code. The hosted APIs use the following HTTP status codes:

  • 200 - Success. The response body should have a value.
  • 302 - Redirect returned from an obsoleted route. The response body will probably be empty. A "Location" header contains the target URL.
  • 400 - The request was rejected. There are syntactic/semantic errors in the input (malformed, data missing, invalid values, not existing ids, ...). The errors body should have a value and the response body normally is empty but might contain additional info (e.g. partial input processing, ...).
  • 404 - The requested resource is not found. The response body might contain a description for the "not found" error.
  • 500 - A system error. The response body might contain a description of the internal error/errors that occurred.

Routing

Routing is described in a hashmap, keyed by :vase.api/routes, whose value is a vector of nested route-verb pairs. See the example below:

{:example.app/v1
 {:vase.api/routes
  {"/home"       {:get  #vase/respond  {:name :example.app.v1/home
                                        :body "Home page"}}
   "/about"      {:get  #vase/redirect {:name :example.app.v1/about
                                        :url "http://www.google.com"}}
   "/check/:age" {:post #vase/validate {:name :example.app.v1/age-check
                                        :spec :example.app.v1/age}}}}}

This configuration would produce the URLs:

  • /api/example/app/v1/home
  • /api/example/app/v1/about
  • /api/example/app/v1/check

Action Map

The action map describes the allowed HTTP verbs for a route and what actions to invoke for each. Actions are described using reader literals.

Each route has exactly one action map. Each action map can have keys from #{:get :put :post :delete :head :options :any} (these are the standard HTTP verbs from Pedestal routes.)

The value for each verb is either a single action written as a reader literal or a vector of actions. When the value is a vector of actions, they will be invoked in the same order as written.

Actions

Here are the available actions:

  • #vase/respond - Return a static response, optionally setting headers and the HTTP status code
  • #vase/redirect - Redirect the request with an HTTP 302 status; You can optionally set 303 status and additional headers
  • #vase/validate - Validate a POST body or query string data
  • #vase/query - Consume a POST body, URL parameters, or query string data and run a Datomic query
  • #vase/transact - Consume a POST body, URL parameters, or query string data, and transact data into the DB
  • #vase/intercept - Execute an interceptor written directly in the EDN description file.

Action-maps

Action-maps are hashmaps that contain Action-specific data. All action-maps require a :name for the given action, a keyword. This name is used in logging and URL generation, and thus should be a namespaced keyword.

See documentation for the action literals for the details of their keys and interpretation.

Operational Attributes

Failure and reliability

The core service may be scaled horizontally for availability.

APIs defined in the core service access Datomic, so their availability is constrained to that of the underlying Datomic instance.

Neither the core service nor APIs defined in it can make outcalls to third parties.

Authorization and external requests

The core service has no authorization or authentication mechanisms.

Consuming applications may supply interceptors to be placed on every Vase route. This allows an application to provide authentication and authorization separately from the Vase API.

Initialization

Vase services have some initialization:

  • Registering Clojure specs.
  • Transacting Schema into Datomic.

Monitoring and logging

Vase will use Pedestal's logging facilities. No additional logging, monitoring, or reporting mechanisms are currently in place for the core service.

Norms and schemas

An API uses a top-level key, :vase/norms to specify all acceptable/avaible API schema datoms. These are called norms because they're transacted with Datomic in an idempotent manner.

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