A node module that generates Apache avro schemas from mongoose schemas.
The Mongoose Avro Schema Generator requires node >= 9.2.0. The only dependency is mongoose >= 5.0.9, a connection to MongoDB is not necessary.
Using yarn:
yarn add @researchgate/mongoose-avro-schema-generatorUsing npm:
npm install @researchgate/mongoose-avro-schema-generatorIn order to generate schemas for all registered mongoose models we import the module, create a new MongooseAvroSchemaGenerator and run the generate() method.
Let's first register a simple mongoose model.
let schema = new Schema({
something: String,
});
mongoose.model('mySchema', schema);Now we instantiate the Mongoose Avro Schema Generator with a the mongoose instance.
const Generator = require('mongoose-avro-schema-generator');
const mongooseAvroSchemaGenerator = new Generator(mongoose);Then mongooseAvroSchemaGenerator.generate() will output an array of all generated schemas.
[
{
"dbcollection": "myschemas",
"dbtype": "mongodb",
"fields": [
{
"name": "something",
"type": ["null", "string"],
"default": null
},
{
"name": "_id",
"type": [
"null",
{
"subtype": "objectid",
"type": "string"
}
],
"default": null
},
{
"name": "__v",
"type": ["null", "double"],
"default": null
}
],
"name": "mySchema",
"namespace": "some.namespace"
}
]Please note that the schema also contains the auto-generated fields _id and _v. In the following chapters we will have a look at further details.
Generate avro schemas for all registered mongoose models:
mongooseAvroSchemaGenerator.generate();Restrict the schema generation to a set of models:
mongooseAvroSchemaGenerator.generate(['User', 'Transaction']);Override the default "mongoose" namespace by setting the second parameter in the constructor:
new Generator(mongoose, 'some.custom.namespace');This section will explain the mapping from mongoose types to avro schemas.
The following table lists all the primitive types and their mapped equivalent in the avro schema.
| Native/Mongoose Type | Avro Type |
|---|---|
String |
"string" |
Schema.Types.String |
"string" |
Boolean |
"boolean" |
Number |
"double" |
Buffer |
"bytes" |
Date |
{ "type": "long", "subtype": "date" } |
Schema.Types.ObjectId |
{ "type": "string", "subtype": "objectid" } |
Please note that Date and Schema.Types.ObjectId are mapped to objects with a more specific subtype.
Warning: The Schema.Types.Mixed type is not supported. The same applies to the equivalent empty object literal {} or the empty array []. Trying to generate a schema from a model with such a type will result in an error.
Arrays are mapped to the avro type array. For example the mongoose field
some: [Number]
is getting mapped to the following field in the avro schema:
{
"name": "some",
"type": [
"null",
{
"type": "array",
"items": ["null", "double"]
}
],
"default": null
}We will later see how the default and null values are generated.
Embedded documents are mapped to avro records. For example
some: { thing: String }
is represented by following avro definition:
{
"name": "some",
"type": [
"null",
{
"name": "someEmbedded",
"type": "record",
"fields": [{
"name": "thing",
"type": ["null", "string"],
"default": null
}]
},
"record"
],
"default": null
}Please note the name "someEmbedded" of the embedded record which is autogenerated from the parent object with name "some". This is necessary because in an avro schema embedded documents always need a name.
Records can also appear as array items. Like with embedded documents the name will be inferred from the parent object. For example
some: [{ thing: String }]
will be mapped to an avro schema containing the following field:
{
"name": "some",
"type": [
"null",
{
"type": "array",
"items": {
"type": [
"null",
{
"name": "someItemEmbedded",
"type": "record",
"fields": [{
"name": "thing",
"type": ["null", "string"],
"default": null
}]
}
]
}
}
],
"default": null
}Please note the name "someItemEmbedded" of the embedded record which is autogenerated from the parent object with name "some". The same applies for records embedded in arrays of arrays which will have the suffix "ItemItem". In general every array layer appends another "Item" suffix.
The Mongoose Avro Schema Generator makes use of the mongoose attributes required and default.
The avro type null will be included automatically if no required : true attribute is set for a field in mongoose.
Hence the avro schema for the following mongoose schema
let schema = new Schema({
something: { type: String },
});
mongoose.model('mySchema', schema);will have a union type of null and string
{
"name": "something",
"type": ["null", "string"],
"default": null
}However if we add the required attribute
let schema = new Schema({
something: { type: String, required: true },
});
mongoose.model('mySchema', schema);the type will be restricted to string.
{
"name": "something",
"type": "string"
}We note that also the default value of null has been removed.
Default values are either defined explicitly or are implicitly inferred.
The mongoose schema
new Schema({
something: { type: String, default: 'foo' },
});will be transformed into an avro schema containing the following field
{
"name": "something",
"type": ["null", "string"],
"default": "foo"
}Arrays will always have a default of null.
Important: Functional default values are not supported and will be ignored, i.e. treated as if the field doesn't have any default.
If a field can be null and no explicit default value is defined, the default will be set to null.
Let's register a schema with mongoose.
const mongoose = require('mongoose');
const mongooseAvroSchemaGenerator = require('mongoose-avro-schema-generator');
mongooseAvroSchemaGenerator.init(mongoose);
let schema = new Schema({
something: { type: [[Number]], default: ['foo'] },
else: [String]
});
mongoose.model('mySchema', schema);Then mongoosevroSchemaGenerator.generate(['mySchema'], { namespace: 'some.namespace' }) will return the following avro schema:
[
{
"dbcollection": "myschemas",
"dbtype": "mongodb",
"type": "record",
"fields": [
{
"name": "something",
"type": [
"null",
{
"type": "array",
"items": [
"null",
{
"type": "array",
"items": ["null", "string"]
}
]
}
],
"default": null
},
{
"name": "else",
"type": [
"null",
{
"type": "array",
"items": ["null", "string"]
}
],
"default": null
},
{
"default": null,
"name": "_id",
"type": [
"null",
{
"subtype": "objectid",
"type": "string"
}
]
},
{
"default": null,
"name": "__v",
"type": ["null", "double"]
}
],
"name": "mySchema",
"namespace": "some.namespace"
}
]Mocha tests for Mongoose Avro Schema Generator can be found in /test. A yarn job is configured to run those tests using yarn test.