# Avro::Builder [![Build Status](https://travis-ci.org/salsify/avro-builder.svg?branch=master)][travis] [![Gem Version](https://badge.fury.io/rb/avro-builder.svg)](https://badge.fury.io/rb/avro-builder) [travis]: http://travis-ci.org/salsify/avro-builder `Avro::Builder` provides a Ruby DSL to create [Apache Avro](https://avro.apache.org/docs/current/) Schemas. This DSL was created because: * The [Avro IDL](https://avro.apache.org/docs/current/idl.html) is not supported in Ruby. * The Avro IDL can only be used to define Protocols. * Schemas can be extracted as JSON from an IDL Protocol but support for imports is still limited. Additional background on why we developed `avro-builder` is provided [here](http://blog.salsify.com/engineering/adventures-in-avro). ## Features * The syntax is designed for ease-of-use. * Definitions can be imported by name. This includes auto-loading from a configured set of paths. This allows definitions to split across files and even reused between projects. * Record definitions can inherit from other record definitions. * [Schema Store](#schema-store) to load files written in the DSL and return `Avro::Schema` objects. ## Limitations * Only Avro Schemas, not Protocols are supported. * See [Issues](https://github.com/salsify/avro-builder/issues) for functionality that has yet to be implemented. * This is beta quality code. There may be breaking changes until version 1.0 is released. ## Installation Add this line to your application's Gemfile: ```ruby gem 'avro-builder' ``` And then execute: $ bundle Or install it yourself as: $ gem install avro-builder ## Railtie When included in a Rails project, `#{Rails.root}/avro/dsl` is configured as a load path for the DSL. A [rake task](#avro-generate-rake-task) is also defined for generating Avro JSON schemas from the DSL. ## Usage To use `Avro::Builder`, define a schema: ```ruby namespace 'com.example' fixed :password, 8 enum :user_type, :ADMIN, :REGULAR record :user do required :id, :long required :user_name, :string required :type, :user_type, default: :REGULAR required :pw, :password optional :full_name, :string required :nicknames, :array, items: :string required :permissions, :map, values: :bytes end ``` The schema definition may be passed as a string or a block to `Avro::Builder.build`. This generates the following Avro JSON schema: ```json { "type": "record", "name": "user", "namespace": "com.example", "fields": [ { "name": "id", "type": "long" }, { "name": "user_name", "type": "string" }, { "name": "type", "type": { "name": "user_type", "type": "enum", "symbols": [ "ADMIN", "REGULAR" ], "namespace": "com.example" }, "default": "REGULAR" }, { "name": "pw", "type": { "name": "password", "type": "fixed", "size": 8, "namespace": "com.example" } }, { "name": "full_name", "type": [ "null", "string" ], "default": null }, { "name": "nicknames", "type": { "type": "array", "items": "string" } }, { "name": "permissions", "type": { "type": "map", "values": "bytes" } } ] } ``` ### Required and Optional Fields for a record are specified as `required` or `optional`. Optional fields are implemented as a union in Avro, where `null` is the first type in the union and the field has a default value of `null`. ### Named Types `fixed` and `enum` fields may be specified inline as part of a record or as standalone named types. ```ruby # Either syntax is supported for specifying the size fixed :f, 4 fixed :g, size: 8 # Either syntax is supported for specifying symbols enum :e, :X, :Y, :Z enum :d, symbols: [:A, :B] record :my_record_with_named do required :f_ref, :f required :fixed_inline, :fixed, size: 9 required :e_ref, :e required :enum_inline, :enum, symbols: [:P, :Q] end ``` ### Complex Types Array, maps and unions can each be embedded within another complex type using methods that match the type name: ```ruby record :complex_types do required :array_of_unions, :array, items: union(:int, :string) required :array_or_map, :union, types: [array(:int), map(:int)] end ``` Methods may also be used for complex types instead of separately specifying the type name and options: ```ruby record :complex_types do required :array_of_unions, array(union(:int, :string)) required :array_or_map, union(array(:int), map(:int)) end ``` For more on unions see [below](#unions). ### Nested Records Nested records may be created by referring to the name of the previously defined record or using the field type `:record`. ```ruby record :sub_rec do required :i, :int end record :top_rec do required :sub, :sub_rec end ``` Definining a subrecord inline: ```ruby record :my_rec do required :nested, :record do required :s, :string end end ``` Nested record types defined without an explicit name are given a generated name based on the name of the field and record that they are nested within. In the example above, the nested record type would have the generated name `__my_rec_nested_record`: ```json { "type": "record", "name": "my_rec", "fields": [ { "name": "nested", "type": { "type": "record", "name": "__my_rec_nested_record", "fields": [ { "name": "s", "type": "string" } ] } } ] } ``` ### Unions A union may be specified within a record using `required` and `optional` with the `:union` type: ```ruby record :my_record_with_unions do required :req_union, :union, types: [:string, :int] optional :opt_union, :union, types: [:float, :long] end ``` For an optional union, `null` is automatically added as the first type for the union and the field defaults to `null`. Unions may also be defined using the `union` method instead of specifying the `:union` type and member types separately: ```ruby record :my_record_with_unions do required :req_union, union(:string, :int) optional :opt_union, union(:float, :long) end ``` ### Logical Types The DSL supports setting a logical type on any type except a union. The logical types defined in the Avro [spec](https://avro.apache.org/docs/1.8.1/spec.html#Logical+Types) are more limited. The official Ruby `avro` gem does not yet support logical types: [AVRO-1695](https://issues.apache.org/jira/browse/AVRO-1695). There is a `avro-salsify-fork` gem released from this [fork](https://github.com/salsify/avro) that includes changes to support encoding and decoding logical types. To use this gem, reference it in your Gemfile: ```ruby gem 'avro-salsify-fork', require: 'avro' ``` A logical type can be specified for a field using the `logical_type` attribute: ```ruby record :with_timestamp required :created_at, :long, logical_type: 'timestamp-micros' end ``` Primitive types with a logical type can also be embedded within complex types using either the generic `type` method: ```ruby record :with_date_array required :date_array, :array, type(:int, logical_type: date) end ``` Or using a primitive type specific method: ```ruby record :with_date_array required :date_array, :array, int(logical_type: date) end ``` ### Abstract Types Types can be declared as abstract in the DSL. Declaring a type as abstract prevents the rake task from generating an Avro JSON schema for the type. A type can be declared as abstract using either an option or a method in the DSL when defining the type: ```ruby record :unique_id, abstract: true required :uuid, :fixed, size: 38 end enum :status do symbols %w(valid invalid) abstract true end ``` ### Type Macros `avro-builder` allows type macros to be defined that expand to types that cannot normally be named in Avro schemas. These macro names are not retained in generated schemas but allow definitions to be reused across DSL files: ```ruby type_macro :timestamp, long(logical_type: 'timestamp-millis') record :user do required :created_at, :timestamp required :updated_at, :timestamp end ``` Type macros inherit the namespace from the context where they are defined or an explicit namespace option may be specified: ```ruby type_macro :timestamp, long(logical_type: 'timestamp-millis'), namespace: 'com.my_company' ``` Type macros are always marked as abstract and do not generate an Avro JSON schema file when using the rake task. ### Auto-loading and Imports Specify paths to search for definitions: ```ruby Avro::Builder.add_load_path('/path/to/dsl/files') ``` Undefined references are automatically loaded from a file with the same name. The load paths are searched for `.rb` file with a matching name. Files may also be explicitly imported using `import `. ### Extends A previously defined record may be referenced in the definition of another record using `extends `. This adds all of the fields from the referenced record to the current record. The current record may override fields in the record that it extends. ## Schema Store The `Avro::Builder::SchemaStore` can be used to load DSL files and return cached `Avro::Schema` objects. This schema store can be used as the schema store for [avromatic](https://github.com/salsify/avromatic) to generate models directly from schemas defined using the DSL. The schema store must be initialized with the path where DSL files are located: ```ruby schema_store = Avro::Builder::SchemaStore.new(path: '/path/to/dsl/files') schema_store.find('schema_name', 'my_namespace') #=> Avro::Schema (for file at '/path/to/dsl/files/my_namespace/schema_name.rb') ``` To configure `Avromatic` to use this schema store and its Messaging API: ```ruby Avromatic.configure do |config| config.schema_store = Avro::Builder::SchemaStore.new(path: 'avro/dsl') config.registry_url = 'https://builder:avro@avro-schema-registry.salsify.com' config.build_messaging! end ``` ### Avro Generate Rake Task There is a rake task that can be used to generate Avro schemas from all DSL files. A rake task is automatically defined via a Railtie for Rails projects that uses `#{Rails.root}/avro/dsl` as the root for Avro DSL files. Custom rake tasks can also be defined: ```ruby require 'avro/builder/rake/avro_generate_task' Avro::Builder::Rake::AvroGenerateTask.new(name: :custom_gen, dependencies: [:load_app]) do |task| task.filetype = 'avsc' # default option task.root = '/path/to/dsl/files' task.load_paths << '/additional/dsl/files' end ``` ## Development After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). ## Contributing Issues and pull requests are welcome on GitHub at https://github.com/salsify/avro-builder. ## License The gem is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT).