Eclipse OQL Memory Analysis

A memory analysis tool that runs OQL queries on Eclipse Memory Analyzer dumps to identify memory leaks, large objects, and retention paths for developers.

Tool coming soon!

We're working hard to get this tool ready for you.

Request Feature / Support
1,552+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction
AI Web Tool Generator

Build Your Own Custom Web Calculator in Seconds

Type what tool or calculator you need below. Our AI will build it instantly for your site.

Popular ideas:
100% FREE • No Credit Card Required

Om dette verktøyet

The tool enables deep heap analysis by running OQL queries on Eclipse Memory Analyzer dumps. It returns per-object metrics and can identify memory leaks by tracing retention paths. This supports developers in pinpointing the largest retainers and understanding object lifetimes. It works conceptually by treating the heap dump as a graph of objects and edges; OQL queries select nodes and edges, producing a tabular result with key fields for decision making. The unique value lies in combining MAT's mature OQL engine with structured outputs and export options, enabling repeatable analyses across builds. Typical use cases include validating fixes, comparing dumps from different versions, and prioritizing memory-optimization work based on retention impact. Core features include query support for filtering and sorting, path extraction to GC roots, and export to JSON/CSV for reporting. The tool is language- and platform-agnostic at the analysis layer but targets Java heap dumps generated by the JVM and MAT. By providing deterministic results on identical dumps, teams can track regressions and measure improvements in memory usage and leak mitigation.

Hvordan bruke

  1. Provide inputs: memory_dump_path, oql_query, optional max_results.
  2. Validate inputs: file exists and is a MAT-compatible dump.
  3. Run analysis: execute the OQL against the heap dump and collect results.
  4. Review outputs: inspect object_id, class_name, shallow_size, retained_size, and the retention_path.
  5. Export results: save as JSON or CSV for reporting and sharing.
How to use eclipse memory analyzer oql

Frequently Asked Questions

Finn raske svar

What is OQL in Eclipse MAT?
OQL (Object Query Language) in MAT lets you query the heap graph to retrieve objects, their sizes, and retention paths. It enables precise filtering, counting, and sorting of memory objects to identify leaks and hotspots, aiding targeted optimization.
Can I export the results?
Yes, results can be exported as JSON or CSV. Exports preserve key fields such as object_id, class_name, shallow_size, retained_size, and retention_path, making it suitable for reporting and integration with other tools.
What dumps are supported?
The tool works with standard Eclipse MAT heap dumps (.hprof variants). Ensure compatibility with the MAT version used to generate the dump; unsupported versions may produce parse errors.
What performance considerations exist?
Large dumps increase processing time and memory usage. Optimize queries by limiting results and targeting specific classes or packages. Run analysis in an environment with sufficient heap and consider incremental processing for very large dumps.

Need to run multiple calculations?

Create a free account today to unlock unlimited daily runs, access advanced parameters, save your history, and request custom features.

Register Free Account

Related Tools

Other useful calculators and utilities you might like

Developer Tools

Spotify til MP3-omformer

Konverterer lokalt leverte lydfiler til MP3, muliggjør offline-lytning og kryss-enhets-kompatibilite...

Developer Tools

Veiavstandskalkulator

Et veiavstandskalkulator for reisende, logistikkeleverandører og sjåfører for raskt å estimere avsta...

Developer Tools

Alder Kalkulator

Beregn raskt en persons alder basert på fødselsdato med vårt gratis online verktøy, egnet for privat...

Developer Tools

Currency Converter

Convert currencies instantly with real-time exchange rates and historical data support.

Din tilbakemelding er viktig

Hjelp oss å forbedre oss