Joule
  • Welcome to Joule's Docs
  • Why Joule?
    • Joule capabilities
  • What is Joule?
    • Key features
    • The tech stack
  • Use case enablement
    • Use case building framework
  • Concepts
    • Core concepts
    • Low code development
    • Unified execution engine
    • Batch and stream processing
    • Continuous metrics
    • Key Joule data types
      • StreamEvent object
      • Contextual data
      • GeoNode
  • Tutorials
    • Getting started
    • Build your first use case
    • Stream sliding window quote analytics
    • Advanced tutorials
      • Custom missing value processor
      • Stateless Bollinger band analytics
      • IoT device control
  • FAQ
  • Glossary
  • Components
    • Pipelines
      • Use case anatomy
      • Data priming
        • Types of import
      • Processing unit
      • Group by
      • Emit computed events
      • Telemetry auditing
    • Processors
      • Common attributes
      • Filters
        • By type
        • By expression
        • Send on delta
        • Remove attributes
        • Drop all events
      • Enrichment
        • Key concepts
          • Anatomy of enrichment DSL
          • Banking example
        • Metrics
        • Dynamic contextual data
          • Caching architecture
        • Static contextual data
      • Transformation
        • Field Tokeniser
        • Obfuscation
          • Encryption
          • Masking
          • Bucketing
          • Redaction
      • Triggers
        • Change Data Capture
        • Business rules
      • Stream join
        • Inner stream joins
        • Outer stream joins
        • Join attributes & policy
      • Event tap
        • Anatomy of a Tap
        • SQL Queries
    • Analytics
      • Analytic tools
        • User defined analytics
          • Streaming analytics example
          • User defined analytics
          • User defined scripts
          • User defined functions
            • Average function library
        • Window analytics
          • Tumbling window
          • Sliding window
          • Aggregate functions
        • Analytic functions
          • Stateful
            • Exponential moving average
            • Rolling Sum
          • Stateless
            • Normalisation
              • Absolute max
              • Min max
              • Standardisation
              • Mean
              • Log
              • Z-Score
            • Scaling
              • Unit scale
              • Robust Scale
            • Statistics
              • Statistic summaries
              • Weighted moving average
              • Simple moving average
              • Count
            • General
              • Euclidean
        • Advanced analytics
          • Geospatial
            • Entity geo tracker
            • Geofence occupancy trigger
            • Geo search
            • IP address resolver
            • Reverse geocoding
            • Spatial Index
          • HyperLogLog
          • Distinct counter
      • ML inferencing
        • Feature engineering
          • Scripting
          • Scaling
          • Transform
        • Online predictive analytics
        • Model audit
        • Model management
      • Metrics engine
        • Create metrics
        • Apply metrics
        • Manage metrics
        • Priming metrics
    • Contextual data
      • Architecture
      • Configuration
      • MinIO S3
      • Apache Geode
    • Connectors
      • Sources
        • Kafka
          • Ingestion
        • RabbitMQ
          • Further RabbitMQ configurations
        • MQTT
          • Topic wildcards
          • Session management
          • Last Will and Testament
        • Rest endpoints
        • MinIO S3
        • File watcher
      • Sinks
        • Kafka
        • RabbitMQ
          • Further configurations
        • MQTT
          • Persistent messaging
          • Last Will and Testament
        • SQL databases
        • InfluxDB
        • MongoDB
        • Geode
        • WebSocket endpoint
        • MinIO S3
        • File transport
        • Slack
        • Email
      • Serialisers
        • Serialisation
          • Custom transform example
          • Formatters
        • Deserialisers
          • Custom parsing example
    • Observability
      • Enabling JMX for Joule
      • Meters
      • Metrics API
  • DEVELOPER GUIDES
    • Setting up developer environment
      • Environment setup
      • Build and deploy
      • Install Joule
        • Install Docker demo environment
        • Install with Docker
        • Install from source
        • Install Joule examples
    • Joulectl CLI
    • API Endpoints
      • Mangement API
        • Use case
        • Pipelines
        • Data connectors
        • Contextual data
      • Data access API
        • Query
        • Upload
        • WebSocket
      • SQL support
    • Builder SDK
      • Connector API
        • Sources
          • StreamEventParser API
        • Sinks
          • CustomTransformer API
      • Processor API
      • Analytics API
        • Create custom metrics
        • Define analytics
        • Windows API
        • SQL queries
      • Transformation API
        • Obfuscation API
        • FieldTokenizer API
      • File processing
      • Data types
        • StreamEvent
        • ReferenceDataObject
        • GeoNode
    • System configuration
      • System properties
  • Deployment strategies
    • Deployment Overview
    • Single Node
    • Cluster
    • GuardianDB
    • Packaging
      • Containers
      • Bare metal
  • Product updates
    • Public Roadmap
    • Release Notes
      • v1.2.0 Join Streams with stateful analytics
      • v1.1.0 Streaming analytics enhancements
      • v1.0.4 Predictive stream processing
      • v1.0.3 Contextual SQL based metrics
    • Change history
Powered by GitBook
On this page
  • Objective
  • Uses
  • Example & DSL attributes
  • Attributes schema
  • Plugin code

Was this helpful?

  1. Components
  2. Processors
  3. Transformation

Field Tokeniser

Tokenise attribute values in to component parts

Objective

Split complex aggregated event attributes in to independent attributes using custom field tokeniser plugins

Uses

The uses of this filter is very much depended upon context to which Joule is deployed within. As such it relies entirely upon custom implementations developed by business developers.

Listed below are various uses for this type filter:

  1. Split an address provided as a single string in to independent address components.

  2. Get a device code from a mobile IMEI code.

  3. Tokenise sentences ready for LLM processing

Example & DSL attributes

This example take an aggregated value of longitude and latitude and split it to independent fields and added to the StreamEvent object. This uses the custom plugin LatitudeLongitudeDecoder provided in the telco project, see code below.

tokenizer enricher:
  tokenizers:
    longlat : com.fractalworks.streams.examples.telco.enricher.LatitudeLongitudeDecoder

Attributes schema

Attribute
Description
Data Type
Required

tokenizers

Map of field and tokenizers. Tokenizers are provided by supporting business developers.

Map<String, FieldTokenizer>

Plugin code

The plugin code extracts a latitude and longitude string, splits it by the comma, and converts each part into separate numeric event attributes.

import com.fractalworks.streams.sdk.referenceData.FieldTokenizer;
import java.util.HashMap;
import java.util.Map;
import java.util.Optional;

public class LatitudeLongitudeDecoder implements FieldTokenizer {

    public LatitudeLongitudeDecoder() {}

    @Override
    public Optional<Map<String, Object>> decode(Object o) {
        if( o instanceof String) {
            String[] co = ((String) o).split(",");
            Map<String, Object> map = new HashMap<>();
            map.put("latitude", Float.parseFloat(co[1]));
            map.put("longitude", Float.parseFloat(co[0]));
            return Optional.of(map);
        }
        return Optional.empty();
    }
}
PreviousTransformationNextObfuscation

Last updated 6 months ago

Was this helpful?

A is provided for developers to build and deploy custom implementation.

FieldTokenizer API