Deserialisers
Consumed data is mapped to internal StreamEvents using a flexible deserialisation framework
Overview
Joule's deserialization framework enables seamless conversion of raw domain-specific data into StreamEvent
objects for processing.
By leveraging built-in deserializers (i.e., JSON, CSV, AVRO) or custom parsers, it ensures compatibility with various data formats and workflows, allowing precise transformation tailored to application needs.
For advanced scenarios, the StreamEventParser API supports custom parsing when standard deserializers cannot handle unique formats or structures. This flexibility allows developers to map domain-specific objects into StreamEvent
collections, ensuring smooth integration with Joule's processing pipeline.
Every connector type will have it preferred supported deserialisation method
This page serves as a guide for configuring data deserialisation, with examples and options for effective data integration in Joule.
This page includes the following:
Deserialiser DSL element Describes the deserialisation element, which defines how received data is parsed ready for Joule processing.
Kafka example Provides an example Kafka consumer configuration that deserialises incoming domain events to
StreamEvents
.Custom parser API Covers the
StreamEventParser
interface for custom deserialisation when unique data parsing is required.AVRO deserialiser Introduce how AVRO can be used to transform domain events to Joule
StreamEvent
events using a provided AVRO IDL schema file.Available Implementations Learn how to use OOTB deserialisers for JSON and CSV event data.
Deserialiser DSL element
The deserialiser DSL element defines the deserialisation process for StreamEvent
s to prepare them for Joule processing.
It allows developers to specify how data should be transformed into StreamEvent
s using custom parsing logic, enabling precise handling of various data formats and structures tailored to specific application needs.
Example
This code snippet shows a basic setup for a Kafka consumer within Joule, where JSON StreamEvent
string objects are converted toStreamEvent
objects ready for pipeline processing.
Attributes schema
Parser
Parser interface to converts a received Object to a collection of stream events.
StreamEventParser API
For complex use cases whereby AVRO cannot be used a custom parser will be needed. In this case developers can provide a parsing solution using the StreamEventParser
API.
Example
This example shows how a custom parser (QuoteToStreamEventParser
) transforms Quote
domain objects into StreamEvents
that can be processed by Joule. Deserialisation in action.
AVRO deserialisation
This deserialiser has extra setting to support ability to load the target schema. Currently only local schema files are supported with schema registry support on request.
The transformer automatically maps domain attributes to StreamEvent
attributes using a provided AVRO schema IDL. Currently only local schema files are supported with schema registry support on request.
Integrate Joule to any existing system using already established data structures
Example
Attributes schema
Available Implementations
Joule provides several deserialiser implementations for different data formats, each requiring a full package namespace.
Key implementations include:
JSON deserialiser Parse StreamEvent JSON events into concrete objects.
CSV Deserialiser Parse CSV formatted data using options for custom headers and a type map to define data types like
STRING
andDOUBLE
.Object Deserialiser Parse StreamEvent binary events into concrete objects.
JSON
This parser reads a converts a JSON string formatted StreamEvent to a StreamEvent
object.
Example
CSV
This parser has extra optional setting to support ability to custom parsing through the use of defining a custom header.
Example
Supported Types
Following types are supported
DOUBLE, FLOAT, LONG, INTEGER, SHORT, BYTE, BOOLEAN, STRING, DATE
Object
This parser reads a converts a binary formatted StreamEvent
to a StreamEvent
object
Example
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