DevOps Team 40bc615bf7 Add parallel checker execution with connection pooling ...

Implements Level 2 parallelization for row_count, schema, and
aggregate checkers, improving performance by 2-3x for tables with
multiple enabled checks.

Changes:
- Add max_workers config option (default: 4)
- Add ConnectionPool module with SQLAlchemy QueuePool
- Add URL encoding for connection strings
- Implement parallel checker execution with ThreadPoolExecutor
- Add fail-fast behavior on checker errors
- Update executor for SQLAlchemy 2.0 compatibility
- Fix engine disposal resource leak
- Cache pooled engines in ConnectionManager
- Add disconnect() cleanup for pooled engines

Performance:
- Sequential: 3 checkers × 100ms = 300ms
- Parallel: 3 checkers ≈ 100ms (2-3x speedup)

Configuration:
  execution:
    max_workers: 4  # Controls parallel checker execution
    continue_on_error: true

2026-02-11 21:46:10 +07:00

..

__init__.py

Initial commit

2026-01-03 22:05:49 +07:00

test_config.py

Initial commit

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test_models.py

Initial commit

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test_parallel_logic.py

Add parallel checker execution with connection pooling

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test_parallelization.py

Add parallel checker execution with connection pooling

2026-02-11 21:46:10 +07:00

test_utils.py

Initial commit

2026-01-03 22:05:49 +07:00