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README.md

Query Optimizer

Observability query acceleration and cost optimization

Overview

The Query Optimizer accelerates observability queries through intelligent query planning, result caching, federated execution, and cost-based optimization. Reduce query latency by 10-100x and costs by 50-90% without changing application code.

Features

Query Optimization

  • Query planning — Generate optimal execution plans
  • Index recommendations — Suggest indexes for faster queries
  • Query rewriting — Transform queries for better performance
  • Predicate pushdown — Filter data early
  • Partition pruning — Query only relevant partitions

Caching

  • Result caching — Cache query results with TTL
  • Partial caching — Cache intermediate results
  • Smart invalidation — Invalidate on data changes
  • Multi-level caching — Memory, SSD, distributed

Federated Queries

  • Cross-system queries — Query multiple backends
  • Data federation — Unified query interface
  • Parallel execution — Execute across multiple nodes

Quick Start

# config.yaml
optimizer:
  enabled: true
  
  caching:
    enabled: true
    ttl: 300s  # 5 minutes
    max_size: 10GB
  
  backends:
    - name: prometheus
      type: prometheus
      url: "http://prometheus:9090"
    
    - name: elasticsearch
      type: elasticsearch
      url: "http://elasticsearch:9200"

Optimize Query

from query_optimizer import QueryOptimizer

optimizer = QueryOptimizer(config_path="config.yaml")

# Original query
query = """
SELECT service, AVG(latency) 
FROM metrics 
WHERE timestamp > now() - 1h
GROUP BY service
"""

# Optimize
optimized = optimizer.optimize(query)
print(f"Estimated speedup: {optimized.speedup}x")
print(f"Cost reduction: {optimized.cost_reduction}%")

# Execute optimized query
result = optimized.execute()

Performance

  • Query speedup: 10-100x
  • Cost reduction: 50-90%
  • Cache hit rate: > 80%

Versioning

Current version: 0.1.0

See CHANGELOG.md

License

MIT License - See LICENSE

Standalone Installation

go get github.com/navinBRuas/_ObservabilityEngine/query-optimizer

Usage

import "github.com/navinBRuas/_ObservabilityEngine/query-optimizer"

Configuration

Query Optimizer supports local YAML configuration and programmatic configuration. Use the optimizer block for caching, backend connections, and federation settings.

Version

Current version: 0.1.0 (see VERSION.md).

Changelog

See CHANGELOG.md for release history.

License

MIT License - See LICENSE.