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# AI-Generated Development Plan - 2025-06-21 ## Repository Overview ZIndexer is a high-performance indexer for Solana Virtual Machine networks built in Zig, designed to ingest and store vast amounts of blockchain data in databases like ClickHouse and QuestDB. The current implementation primarily uses HTTP-based ingestion for QuestDB, and there is a need to extend it to support native TCP ingestion with connection pooling and batch support to improve performance and reliability. ## Critical Fixes (ASAP) 🚨 1. Implement QuestDB ILP ingestion over native TCP with connection pooling and batch processing [Size: M, Priority: Must, Risk: High] - Essential to meet user requirements and avoid performance bottlenecks in data ingestion. 2. Implement robust encryption for data in transit across all internal and external communications to prevent interception of sensitive information [Size: S, Priority: Must, Risk: High] 3. Enforce rigorous input validation and sanitization on all API endpoints to guard against injection attacks and other malicious inputs [Size: S, Priority: Must, Risk: High] 4. Introduce rate-limiting and DDoS mitigation measures to protect the system from abusive request patterns and potential service outages [Size: M, Priority: Must, Risk: High] 5. Establish comprehensive monitoring and alerting mechanisms for real-time detection of performance degradation and critical failures [Size: S, Priority: Must, Risk: High] ## Missing Components 📋 1. Native TCP-based ILP ingestion module for QuestDB [Size: M, Priority: Must] - Critical missing feature that prevents efficient data ingestion; its absence risks throughput issues and limits scalability. ## Required Improvements 🔧 1. Refactor the database abstraction layer to support native TCP protocols, including robust connection pooling and batch processing features for QuestDB [Size: M, Priority: Must, ROI: High] - Necessary to enhance system reliability and resource utilization under high load. 2. Enhance error handling and logging specifically for the new QuestDB TCP module [Size: S, Priority: Should] - Improves maintainability and speeds up diagnostics in production scenarios. ## Innovation Ideas 💡 1. Introduce dynamic scaling for TCP connection pools based on real-time load and performance metrics. 2. Optimize batch processing algorithms in Zig to further reduce latency and maximize throughput during peak indexing periods. --- *This milestone was generated automatically by AI analysis. All items have been broken down into individual GitHub issues for tracking and implementation.*
Overdue by 5 month(s)•Due by June 28, 2025