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PostgreSQL Optimization Kit

$49

Query tuning scripts, index analysis, vacuum configuration, connection pooling, and performance monitoring dashboards.

📁 7 files🏷 v1.0.0
PythonYAMLTOMLJSONMarkdownPostgreSQL

📁 File Structure 7 files

postgresql-optimization-kit/ ├── LICENSE ├── README.md ├── config.example.yaml ├── pyproject.toml └── src/ └── postgresql_optimization_kit/ ├── __init__.py ├── core.py └── utils.py

📖 Documentation Preview README excerpt

PostgreSQL Optimization Kit

Query tuning scripts, index analysis, vacuum configuration, connection pooling, and performance monitoring dashboards.

Contents

  • config.example.yaml
  • pyproject.toml
  • src/postgresql_optimization_kit/__init__.py
  • src/postgresql_optimization_kit/core.py
  • src/postgresql_optimization_kit/utils.py

Quick Start

1. Extract the ZIP archive

2. Review the README and documentation

3. Customize configuration files for your environment

4. Follow the setup guide for your specific use case

Requirements

  • Python 3.10+ (for Python scripts)
  • Relevant CLI tools for your platform
  • Access to your target environment

License

MIT License — see LICENSE file.

Support

Questions or issues? Email megafolder122122@hotmail.com

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Part of [Database Admin](https://inity13.github.io/database-admin-pro/)

📄 Code Sample .py preview

src/postgresql_optimization_kit/core.py """ PostgreSQL Optimization Kit — Core Module Production-ready implementation. """ from typing import Any, Dict, List, Optional from dataclasses import dataclass, field from datetime import datetime import json import logging logger = logging.getLogger(__name__) @dataclass class Config: """Configuration for PostgreSQL Optimization Kit.""" name: str = "postgresql-optimization-kit" version: str = "1.0.0" debug: bool = False log_level: str = "INFO" output_dir: str = "./output" settings: Dict[str, Any] = field(default_factory=dict) @classmethod def from_file(cls, path: str) -> "Config": with open(path) as f: data = json.load(f) return cls(**data) def to_dict(self) -> Dict[str, Any]: return { "name": self.name, "version": self.version, "debug": self.debug, "log_level": self.log_level, "output_dir": self.output_dir, "settings": self.settings, } class PostgresqlOptimizationKit: """Main class for PostgreSQL Optimization Kit.""" def __init__(self, config: Optional[Config] = None): self.config = config or Config() self._setup_logging() self._results: List[Dict[str, Any]] = [] logger.info(f"Initialized {self.config.name} v{self.config.version}") def _setup_logging(self): # ... 40 more lines ...