Numerical Text Filter

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Description

The Numerical Text Filter processor combines numerical and text-based filtering in a single processor. It forwards events only when both the numerical and text conditions are satisfied. This processor is ideal for:

• Complex event filtering
• Multi-criteria event selection
• Data validation
• Event routing based on multiple conditions

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Required Input

The processor requires an input event stream containing:

• At least one numerical field for numerical comparison
• At least one text field for string matching

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Configuration

Numerical Filter

• Field: Select the numerical field to apply the filter operation on
• Operation: Choose from the following comparison operators:
  • < (Less than)
  • <= (Less than or equal)
  • > (Greater than)
  • >= (Greater than or equal)
  • == (Equal)
  • != (Not equal)
• Threshold: Specify the numerical value to compare against

Text Filter

• Field: Select the text field to apply the filter operation on
• Operation: Choose from:
  • MATCHES: Exact string match
  • CONTAINS: Substring match
• Keyword: Specify the text to match against

Output

The processor forwards the input event only if both the numerical and text conditions evaluate to true.

Example

Input Event

{
  "temperature": 25.5,
  "status": "active",
  "timestamp": 1586380104915
}

Configuration

Numerical Filter:

• Field: temperature
• Operation: >
• Threshold: 20.0

Text Filter:

• Field: status
• Operation: MATCHES
• Keyword: active

Output Event

{
  "temperature": 25.5,
  "status": "active",
  "timestamp": 1586380104915
}

Use Cases

1. Sensor Data Filtering

   • Filter sensor readings based on value ranges and status
   • Monitor specific conditions in sensor data
   • Validate sensor readings against expected patterns

2. Event Validation

   • Ensure events meet both numerical and categorical criteria
   • Validate business rules with multiple conditions
   • Filter events based on complex criteria

3. Data Quality Control

   • Filter out invalid or unexpected data combinations
   • Ensure data meets quality thresholds
   • Validate data against business rules

Notes

• Both numerical and text conditions must be satisfied for an event to be forwarded
• Numerical comparisons use floating-point precision (0.000001 tolerance for equality)
• Text matching is case-sensitive
• The processor preserves the original event structure
• All fields from the input event are included in the output