Yield Sink

The Yield sink is unique among GlassGen sinks as it doesn't send data to an external destination. Instead, it returns an iterator that you can use to process the generated data directly in your Python code.

Key Features

• Returns an iterator for direct data processing
• No external dependencies or configuration needed
• Perfect for in-memory data processing
• Useful for testing and development
• Enables custom data processing pipelines

Configuration

The yield sink has the simplest configuration of all sinks:

{
    "sink": {
        "type": "yield"
    }
}

Usage Examples

Basic Usage

import glassgen
 
config = {
    "schema": {
        "name": "$name",        
        "email": "$email",
        "age": "$intrange(18,65)"
    },
    "sink": {
        "type": "yield"
    },
    "generator": {
        "rps": 100,
        "num_records": 1000
    }
}
 
# Get the iterator
gen = glassgen.generate(config=config)
 
# Process the data
for item in gen:
    print(item)