Eclipse Memory Analyzer

A focused tool for developers debugging Eclipse-based Java applications to diagnose memory issues and out-of-memory errors using heap dumps and GC data.

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About This Tool

The Eclipse Memory Analyzer tool analyzes Java heap dumps and GC logs from Eclipse-based applications to identify memory growth patterns and leaks. It parses standard dump formats, builds object graphs, and computes retained sizes to prioritize suspects. By presenting dominator trees and allocation hot spots, it helps engineers understand why memory usage increases and which objects keep references to large portions of the heap. The tool is designed for developers, performance engineers, and ops teams responsible for Eclipse plug-ins and long-running IDE workflows. Its unique value lies in combining dump parsing with retention-path analysis to reveal root causes rather than surface-level statistics, enabling targeted fixes and faster remediation. Core features include heap-dump parsing, GC-log correlation, dominator-tree visualization, top-leak suspects, and exportable reports for JSON, CSV, or HTML. Typical use cases include diagnosing OutOfMemoryError during plugin builds, identifying leaking singleton caches, and validating memory budgets across modules. The approach emphasizes deterministic analysis on static data and reproducible results across environments, providing a clear audit trail for remediation efforts.

How to Use

  1. Provide inputs: path to heap dump file; optional GC log path; optional VM arguments or configuration.
  2. Choose analysis modes: memory hotspots, retention paths, and leak suspects.
  3. Run analysis: execute the processing pipeline to build graphs and metrics.
  4. Review outputs: examine memory summary, top offenders, and retention paths; decide on fixes.
  5. Export results: save reports in JSON, CSV, or HTML for sharing with teams.
How to use eclipse memory analyzer out of memory

Frequently Asked Questions

Find Quick Answers

What data is needed to run analysis?
A valid Java heap dump is required; optional GC log and VM arguments improve correlation of allocations and GC events. Partial dumps can produce limited results; complete dumps yield fuller retention paths and more accurate leaks.
Can it handle multi-module Eclipse projects?
Yes, the tool supports multi-module heap dumps and can attribute memory usage to different plug-ins or modules. If modules are interdependent, the retention paths may be longer but still reveal primary leaking roots.
How are memory leaks identified?
Leaks are inferred from retained set analysis, where objects prevent collection despite no live references from application code. The tool highlights dominant retainers and longest reference chains to suspected leak sources.
What output formats are available?
Outputs are provided as JSON for automation, CSV for tabular review, and HTML for human-readable reports. All exports preserve key metrics, retention paths, and top offenders.

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