kenya-jug/regression

Improve Log Parsing and Loading Performance

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#47 geöffnet am 20.05.2025

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Beschreibung

Enhance the performance of the log ingestion pipeline, focusing on faster parsing and loading of log files, especially large or high-volume files.

Problem:

  • Current log ingestion is slow or memory-intensive, leading to delays and potential timeouts or OutOfMemoryError exceptions.
  • Performance bottlenecks may exist in file I/O, parsing logic, or database/storage writes.

Goals:

  • Speed up log parsing and reduce memory consumption.
  • Handle large files efficiently without crashing or hanging.
  • Improve throughput for high-frequency log ingestion.

Proposed Improvements:

  • 1. Replace Files.readAllBytes() / readString() with streaming methods (e.g., BufferedReader, Files.lines()).
  • 2. Optimize parsing logic to avoid unnecessary object creation or string manipulation.
  • 3. Use batch processing or async queues for loading parsed logs into storage.
  • 4. Profile and monitor performance to identify slow points (e.g., with Java Flight Recorder or VisualVM).
  • 5. Consider parallel processing for independent files or chunks of data.

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