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Sequential vs Parallel Processing

Demonstrates how AsyncParallelBatchNode accelerates processing by 3x over AsyncBatchNode.

Features

Processes identical tasks with two approaches
Compares sequential vs parallel execution time
Shows 3x speed improvement with parallel processing

Run It

pip install pocketflow
python main.py

Output

=== Running Sequential (AsyncBatchNode) ===
[Sequential] Summarizing file1.txt...
[Sequential] Summarizing file2.txt...
[Sequential] Summarizing file3.txt...

=== Running Parallel (AsyncParallelBatchNode) ===
[Parallel] Summarizing file1.txt...
[Parallel] Summarizing file2.txt...
[Parallel] Summarizing file3.txt...

Sequential took: 3.00 seconds
Parallel took:   1.00 seconds

Key Points

Sequential: Total time = sum of all item times
- Good for: Rate-limited APIs, maintaining order
Parallel: Total time ≈ longest single item time
- Good for: I/O-bound tasks, independent operations