Projection

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Description

The Projection processor allows you to select a subset of fields from input events, creating a new event with only the specified fields. This processor is essential for:

• Reducing data volume
• Focusing on relevant fields
• Data privacy
• Stream optimization

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Required Input

The processor works with any input event stream containing one or more fields.

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Configuration

At pipeline development time, you can select which fields to include in the output event.

Output

The processor creates a new event containing only the selected fields from the input event.

Example

Input Event

{
  "temperature": 25.5,
  "humidity": 60,
  "pressure": 1013,
  "timestamp": 1586380104915,
  "device_id": "sensor_001",
  "location": "room_101"
}

Configuration

Selected fields:

• temperature
• humidity
• timestamp

Output Event

{
  "temperature": 25.5,
  "humidity": 60,
  "timestamp": 1586380104915
}

Use Cases

1. Data Volume Reduction

   • Remove unnecessary fields
   • Reduce network bandwidth
   • Optimize storage
   • Improve processing speed

2. Data Privacy

   • Remove sensitive fields
   • Anonymize data
   • Control data exposure
   • Comply with regulations

3. Stream Optimization

   • Focus on relevant data
   • Reduce downstream processing
   • Improve pipeline efficiency
   • Optimize resource usage

Notes

• The processor preserves the original values of selected fields
• Fields not selected are completely removed from the output
• The order of fields in the output may differ from the input
• All field types are supported
• The processor can handle any number of fields