feat(dsm): implement avro schemas for avsc package

.github/workflows/plugins.yml

@@ -136,6 +136,15 @@ jobs:
       - uses: actions/checkout@v4
       - uses: ./.github/actions/plugins/test-and-upstream
 
+  avsc:
+    runs-on: ubuntu-latest
+    env:
+      PLUGINS: avsc
+      DD_DATA_STREAMS_ENABLED: true
+    steps:
+      - uses: actions/checkout@v4
+      - uses: ./.github/actions/plugins/test-and-upstream
+
   aws-sdk:
     strategy:
       matrix:

docs/API.md

@@ -24,6 +24,7 @@ tracer.use('pg', {
 <h5 id="amqplib"></h5>
 <h5 id="amqplib-tags"></h5>
 <h5 id="amqplib-config"></h5>
+<h5 id="avsc"></h5>
 <h5 id="aws-sdk"></h5>
 <h5 id="aws-sdk-tags"></h5>
 <h5 id="aws-sdk-config"></h5>
@@ -102,6 +103,7 @@ tracer.use('pg', {
 
 * [amqp10](./interfaces/export_.plugins.amqp10.html)
 * [amqplib](./interfaces/export_.plugins.amqplib.html)
+* [avsc](./interfaces/export_.plugins.avsc.html)
 * [aws-sdk](./interfaces/export_.plugins.aws_sdk.html)
 * [bluebird](./interfaces/export_.plugins.bluebird.html)
 * [couchbase](./interfaces/export_.plugins.couchbase.html)

docs/add-redirects.sh

@@ -14,6 +14,7 @@ echo "writing redirects..."
 declare -a plugins=(
   "amqp10"
   "amqplib"
+  "avsc"
   "aws_sdk"
   "bluebird"
   "couchbase"

docs/test.ts

@@ -281,6 +281,7 @@ const openSearchOptions: plugins.opensearch = {
 
 tracer.use('amqp10');
 tracer.use('amqplib');
+tracer.use('avsc');
 tracer.use('aws-sdk');
 tracer.use('aws-sdk', awsSdkOptions);
 tracer.use('bunyan');

index.d.ts

@@ -147,6 +147,7 @@ interface Plugins {
   "amqp10": tracer.plugins.amqp10;
   "amqplib": tracer.plugins.amqplib;
   "apollo": tracer.plugins.apollo;
+  "avsc": tracer.plugins.avsc;
   "aws-sdk": tracer.plugins.aws_sdk;
   "bunyan": tracer.plugins.bunyan;
   "cassandra-driver": tracer.plugins.cassandra_driver;
@@ -1192,6 +1193,12 @@ declare namespace tracer {
       signature?: boolean;
     }
 
+    /**
+     * This plugin automatically patches the [avsc](https://github.com/mtth/avsc) module
+     * to collect avro message schemas when Datastreams Monitoring is enabled.
+     */
+    interface avsc extends Integration {}
+
     /**
      * This plugin automatically instruments the
      * [aws-sdk](https://github.com/aws/aws-sdk-js) module.

packages/datadog-instrumentations/src/avsc.js

@@ -0,0 +1,37 @@
+const shimmer = require('../../datadog-shimmer')
+const { addHook } = require('./helpers/instrument')
+
+const dc = require('dc-polyfill')
+const serializeChannel = dc.channel('apm:avsc:serialize-start')
+const deserializeChannel = dc.channel('apm:avsc:deserialize-end')
+
+function wrapSerialization (Type) {
+  shimmer.wrap(Type.prototype, 'toBuffer', original => function () {
+    if (!serializeChannel.hasSubscribers) {
+      return original.apply(this, arguments)
+    }
+    serializeChannel.publish({ messageClass: this })
+    return original.apply(this, arguments)
+  })
+}
+
+function wrapDeserialization (Type) {
+  shimmer.wrap(Type.prototype, 'fromBuffer', original => function () {
+    if (!deserializeChannel.hasSubscribers) {
+      return original.apply(this, arguments)
+    }
+    const result = original.apply(this, arguments)
+    deserializeChannel.publish({ messageClass: result })
+    return result
+  })
+}
+
+addHook({
+  name: 'avsc',
+  versions: ['>=5.0.0']
+}, avro => {
+  wrapDeserialization(avro.Type)
+  wrapSerialization(avro.Type)
+
+  return avro
+})

packages/datadog-instrumentations/src/helpers/hooks.js

@@ -27,6 +27,7 @@ module.exports = {
   aerospike: () => require('../aerospike'),
   amqp10: () => require('../amqp10'),
   amqplib: () => require('../amqplib'),
+  avsc: () => require('../avsc'),
   'aws-sdk': () => require('../aws-sdk'),
   bluebird: () => require('../bluebird'),
   'body-parser': () => require('../body-parser'),

packages/datadog-plugin-avsc/src/index.js

@@ -0,0 +1,9 @@
+const SchemaPlugin = require('../../dd-trace/src/plugins/schema')
+const SchemaExtractor = require('./schema_iterator')
+
+class AvscPlugin extends SchemaPlugin {
+  static get id () { return 'avsc' }
+  static get schemaExtractor () { return SchemaExtractor }
+}
+
+module.exports = AvscPlugin

packages/datadog-plugin-avsc/src/schema_iterator.js

@@ -0,0 +1,169 @@
+const AVRO = 'avro'
+const {
+  SCHEMA_DEFINITION,
+  SCHEMA_ID,
+  SCHEMA_NAME,
+  SCHEMA_OPERATION,
+  SCHEMA_WEIGHT,
+  SCHEMA_TYPE
+} = require('../../dd-trace/src/constants')
+const log = require('../../dd-trace/src/log')
+const {
+  SchemaBuilder
+} = require('../../dd-trace/src/datastreams/schemas/schema_builder')
+
+class SchemaExtractor {
+  constructor (schema) {
+    this.schema = schema
+  }
+
+  static getType (type) {
+    const typeMapping = {
+      string: 'string',
+      int: 'integer',
+      long: 'integer',
+      float: 'number',
+      double: 'number',
+      boolean: 'boolean',
+      bytes: 'string',
+      record: 'object',
+      enum: 'string',
+      array: 'array',
+      map: 'object',
+      fixed: 'string'
+    }
+    const typeName = type.typeName ?? type.name ?? type
+    return typeName === 'null' ? typeName : typeMapping[typeName] || 'string'
+  }
+
+  static extractProperty (field, schemaName, fieldName, builder, depth) {
+    let array = false
+    let type
+    let format
+    let enumValues
+    let description
+    let ref
+
+    const fieldType = field.type?.types ?? field.type?.typeName ?? field.type
+
+    if (Array.isArray(fieldType)) {
+      // Union Type
+      type = 'union[' + fieldType.map(t => SchemaExtractor.getType(t.type || t)).join(',') + ']'
+    } else if (fieldType === 'array') {
+      // Array Type
+      array = true
+      const nestedType = field.type.itemsType.typeName
+      type = SchemaExtractor.getType(nestedType)
+    } else if (fieldType === 'record') {
+      // Nested Record Type
+      type = 'object'
+      ref = `#/components/schemas/${field.type.name}`
+      if (!SchemaExtractor.extractSchema(field.type, builder, depth + 1, this)) {
+        return false
+      }
+    } else if (fieldType === 'enum') {
+      enumValues = []
+      let i = 0
+      type = 'string'
+      while (field.type.symbols[i]) {
+        enumValues.push(field.type.symbols[i])
+        i += 1
+      }
+    } else {
+      // Primitive type
+      type = SchemaExtractor.getType(fieldType.type || fieldType)
+      if (fieldType === 'bytes') {
+        format = 'byte'
+      } else if (fieldType === 'int') {
+        format = 'int32'
+      } else if (fieldType === 'long') {
+        format = 'int64'
+      } else if (fieldType === 'float') {
+        format = 'float'
+      } else if (fieldType === 'double') {
+        format = 'double'
+      }
+    }
+
+    return builder.addProperty(schemaName, fieldName, array, type, description, ref, format, enumValues)
+  }
+
+  static extractSchema (schema, builder, depth, extractor) {
+    depth += 1
+    const schemaName = schema.name
+    if (extractor) {
+      // if we already have a defined extractor, this is a nested schema. create a new extractor for the nested
+      // schema, ensure it is added to our schema builder's cache, and replace the builders iterator with our
+      // nested schema iterator / extractor. Once complete, add the new schema to our builder's schemas.
+      const nestedSchemaExtractor = new SchemaExtractor(schema)
+      builder.iterator = nestedSchemaExtractor
+      const nestedSchema = SchemaBuilder.getSchema(schemaName, nestedSchemaExtractor, builder)
+      for (const nestedSubSchemaName in nestedSchema.components.schemas) {
+        if (nestedSchema.components.schemas.hasOwnProperty(nestedSubSchemaName)) {
+          builder.schema.components.schemas[nestedSubSchemaName] = nestedSchema.components.schemas[nestedSubSchemaName]
+        }
+      }
+      return true
+    } else {
+      if (!builder.shouldExtractSchema(schemaName, depth)) {
+        return false
+      }
+      for (const field of schema.fields) {
+        if (!this.extractProperty(field, schemaName, field.name, builder, depth)) {
+          log.warn(`DSM: Unable to extract field with name: ${field.name} from Avro schema with name: ${schemaName}`)
+        }
+      }
+    }
+    return true
+  }
+
+  static extractSchemas (descriptor, dataStreamsProcessor) {
+    return dataStreamsProcessor.getSchema(descriptor.name, new SchemaExtractor(descriptor))
+  }
+
+  iterateOverSchema (builder) {
+    this.constructor.extractSchema(this.schema, builder, 0)
+  }
+
+  static attachSchemaOnSpan (args, span, operation, tracer) {
+    const { messageClass } = args
+    const descriptor = messageClass?.constructor?.type ?? messageClass
+
+    if (!descriptor || !span) {
+      return
+    }
+
+    if (span.context()._tags[SCHEMA_TYPE] && operation === 'serialization') {
+      // we have already added a schema to this span, this call is an encode of nested schema types
+      return
+    }
+
+    span.setTag(SCHEMA_TYPE, AVRO)
+    span.setTag(SCHEMA_NAME, descriptor.name)
+    span.setTag(SCHEMA_OPERATION, operation)
+
+    if (!tracer._dataStreamsProcessor.canSampleSchema(operation)) {
+      return
+    }
+
+    // if the span is unsampled, do not sample the schema
+    if (!tracer._prioritySampler.isSampled(span)) {
+      return
+    }
+
+    const weight = tracer._dataStreamsProcessor.trySampleSchema(operation)
+    if (weight === 0) {
+      return
+    }
+
+    const schemaData = SchemaBuilder.getSchemaDefinition(
+      this.extractSchemas(descriptor, tracer._dataStreamsProcessor)
+    )
+
+    span.setTag(SCHEMA_DEFINITION, schemaData.definition)
+    span.setTag(SCHEMA_WEIGHT, weight)
+    span.setTag(SCHEMA_ID, schemaData.id)
+  }
+}
+
+module.exports = SchemaExtractor

packages/datadog-plugin-avsc/test/helpers.js

@@ -0,0 +1,31 @@
+const fs = require('fs')
+
+async function loadMessage (avro, messageTypeName) {
+  if (messageTypeName === 'User') {
+    // Read and parse the Avro schema
+    const schema = JSON.parse(fs.readFileSync('packages/datadog-plugin-avsc/test/schemas/user.avsc', 'utf8'))
+
+    // Create a file and write Avro data
+    const filePath = 'packages/datadog-plugin-avsc/test/schemas/users.avro'
+
+    return {
+      schema,
+      path: filePath
+    }
+  } else if (messageTypeName === 'AdvancedUser') {
+    // Read and parse the Avro schema
+    const schema = JSON.parse(fs.readFileSync('packages/datadog-plugin-avsc/test/schemas/advanced_user.avsc', 'utf8'))
+
+    // Create a file and write Avro data
+    const filePath = 'packages/datadog-plugin-avsc/test/schemas/advanced_users.avro'
+
+    return {
+      schema,
+      path: filePath
+    }
+  }
+}
+
+module.exports = {
+  loadMessage
+}