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Aug 31, 2024 · Backend Development

Root Cause Analysis of Excessive Swap Usage in a Spring Boot Project: Native Memory Leak Triggered by MCC Package Scanning

This article details a step‑by‑step investigation of a Spring Boot application that consumed far more physical memory than its 4 GB heap limit, revealing a native‑memory leak caused by MCC's package‑scanning using Reflections and the Spring Boot ZipInflaterInputStream, and explains how configuration changes and newer Spring Boot versions resolve the issue.

JVMJavaMCC

0 likes · 13 min read

Root Cause Analysis of Excessive Swap Usage in a Spring Boot Project: Native Memory Leak Triggered by MCC Package Scanning

Code Ape Tech Column

Nov 3, 2023 · Backend Development

Diagnosing Excessive Native Memory Usage in a Spring Boot Application Using JVM Native Memory Tracking and System Tools

After migrating a project to the MDP framework based on Spring Boot, the author observed swap overuse and physical memory far exceeding the 4 GB heap; using JVM native memory tracking, gperftools, strace, pmap, and a custom allocator, they traced a native‑memory leak to Spring Boot’s ZipInflaterInputStream during JAR scanning and resolved it by limiting scan paths.

JVMJavaNative Memory

0 likes · 12 min read

Diagnosing Excessive Native Memory Usage in a Spring Boot Application Using JVM Native Memory Tracking and System Tools

Selected Java Interview Questions

Sep 23, 2022 · Backend Development

Diagnosing and Resolving a Native Memory Leak in Spring Boot Applications

This article details the investigation of an unexpected native memory consumption issue in a Spring Boot service, describing how JVM and system‑level tools were used to pinpoint the leak caused by the Spring Boot loader's Inflater usage and how configuring MCC scan paths or upgrading Spring Boot eliminated the problem.

JVMMemory ManagementNative Memory Leak

0 likes · 12 min read

Diagnosing and Resolving a Native Memory Leak in Spring Boot Applications

Code Ape Tech Column

Sep 21, 2022 · Backend Development

Investigating Excessive Native Memory Usage in a Spring Boot Application Migrated to MDP Framework

After migrating a project to the MDP framework based on Spring Boot, the system repeatedly reported high swap usage despite a 4 GB heap configuration, leading to an investigation that uncovered native memory consumption caused by unchecked JAR scanning and allocator behavior, which was resolved by limiting scan paths and updating Spring Boot's inflater implementation.

JVMNative MemorySpring Boot

0 likes · 12 min read

Investigating Excessive Native Memory Usage in a Spring Boot Application Migrated to MDP Framework

Top Architect

May 10, 2022 · Backend Development

Diagnosing Excessive Swap Usage in a SpringBoot Project: Memory Profiling and Native Memory Analysis

The article details a step‑by‑step investigation of a SpringBoot application that repeatedly triggered high swap usage, describing how JVM parameters, native memory tracking, gperftools, strace, and custom memory allocators were used to pinpoint and resolve off‑heap memory leaks caused by the Inflater implementation and glibc memory pools.

JVMJavaNative Memory

0 likes · 12 min read

Diagnosing Excessive Swap Usage in a SpringBoot Project: Memory Profiling and Native Memory Analysis

Architect's Tech Stack

Feb 20, 2021 · Backend Development

Root Cause Analysis of High Native Memory Usage in a Spring Boot Application

After migrating a project to the MDP framework based on Spring Boot, the system repeatedly reported excessive swap usage; the investigation revealed that native memory allocated by the Spring Boot classloader’s Reflections scanning and InflaterInputStream caused 700 MB–800 MB of off‑heap memory to remain unreleased, which was eventually resolved by limiting the scan path and updating Spring Boot.

Native MemoryPerformance debuggingSpring Boot

0 likes · 12 min read

Root Cause Analysis of High Native Memory Usage in a Spring Boot Application

Architect

Aug 30, 2020 · Backend Development

Root Cause Analysis of Excessive Swap Memory Usage in a Spring Boot Application

The article details a step‑by‑step investigation of abnormal swap memory consumption in a Spring Boot project, revealing that native memory allocated by the Inflater during JAR scanning was not released promptly, leading to apparent memory leaks that were ultimately resolved by configuring package scanning and updating Spring Boot.

JavaNative MemoryPerformance debugging

0 likes · 12 min read

Root Cause Analysis of Excessive Swap Memory Usage in a Spring Boot Application

Top Architect

Jul 29, 2020 · Backend Development

Investigation of Excessive Off‑Heap Memory Usage After Migrating a Spring Boot Project to the MDP Framework

The article details a step‑by‑step forensic analysis of why a Spring Boot application migrated to the MDP framework consumed far more physical memory than its configured 4 GB heap, uncovering off‑heap allocations caused by native code, package‑scanning, and glibc memory‑pool behavior, and explains how limiting scan paths or upgrading Spring Boot resolves the issue.

JVMMemory DebuggingNative Memory

0 likes · 12 min read

Investigation of Excessive Off‑Heap Memory Usage After Migrating a Spring Boot Project to the MDP Framework

Java Backend Technology

Jul 7, 2020 · Backend Development

Why My Spring Boot App Swallowed 7 GB RAM: Uncovering Native Memory Leaks

After migrating a project to the MDP framework based on Spring Boot, the author observed excessive swap usage and physical memory consumption of 7 GB despite a 4 GB heap limit, and through a series of JVM, system, and native‑code diagnostics identified Spring Boot’s ZipInflaterInputStream native‑memory leak caused by unchecked package scanning.

JVMNative MemorySpring Boot

0 likes · 12 min read

Why My Spring Boot App Swallowed 7 GB RAM: Uncovering Native Memory Leaks

Architecture Digest

Jul 5, 2020 · Backend Development

Diagnosing Excessive Off‑Heap Memory Usage in a Spring Boot Application

The article details a step‑by‑step investigation of why a Spring Boot service migrated to the MDP framework consumed far more physical memory than its 4 GB heap, revealing native‑code allocations, memory‑pool behavior of glibc and tcmalloc, and how limiting MCC scan paths or upgrading Spring Boot resolves the off‑heap leak.

JavaNative MemoryOff-Heap Memory

0 likes · 11 min read

Diagnosing Excessive Off‑Heap Memory Usage in a Spring Boot Application

Senior Brother's Insights

Jun 3, 2020 · Backend Development

How We Traced and Fixed Excessive Native Memory Usage After Migrating to Spring Boot

After moving a project to Spring Boot, the system reported unusually high swap usage despite a 4 GB heap, prompting a detailed investigation using JVM native‑memory tracking, pmap, gperftools, strace, and GDB, which ultimately identified Spring Boot’s JAR scanning and glibc memory arenas as the root causes and led to a configuration fix and an upgrade to resolve the off‑heap memory leak.

JVMNative MemorySpring Boot

0 likes · 11 min read

How We Traced and Fixed Excessive Native Memory Usage After Migrating to Spring Boot

Top Architect

Apr 20, 2020 · Backend Development

Diagnosing and Resolving Native Memory Leak in Spring Boot Applications

This article details a step‑by‑step investigation of excessive native memory usage in a Spring Boot service, explaining how JVM tools, system tracers, and custom allocators revealed that the default MCC package scanner and Inflater implementation caused a hidden memory leak that was fixed by configuring scan paths and upgrading Spring Boot.

JVMSpring Bootgperftools

0 likes · 12 min read

Diagnosing and Resolving Native Memory Leak in Spring Boot Applications

Programmer DD

Mar 29, 2020 · Backend Development

Why Your Spring Boot App Consumes 7 GB RAM: Uncovering Native Memory Leaks

A Spring Boot project migrated to the MDP framework exhibited excessive native memory usage, leading to swap errors; the article details step‑by‑step investigation using JVM tools, system utilities, and custom allocators to pinpoint and resolve the hidden native memory leak caused by unchecked JAR scanning and glibc memory pools.

JavaNative MemorySpring Boot

0 likes · 13 min read

Why Your Spring Boot App Consumes 7 GB RAM: Uncovering Native Memory Leaks

Programmer DD

Jan 7, 2019 · Backend Development

Why Did My Spring Boot Service Consume 7 GB? Uncovering Native Memory Leaks

This article walks through a real‑world investigation of excessive native memory usage in a Spring Boot application, detailing JVM settings, Linux‑level tracing, custom memory allocators, and the root cause in Spring Boot’s ZipInflaterInputStream, ultimately providing a fix and best‑practice recommendations.

JVMLinux tracingNative Memory

0 likes · 11 min read

Why Did My Spring Boot Service Consume 7 GB? Uncovering Native Memory Leaks

Meituan Technology Team

Jan 3, 2019 · Backend Development

Investigation of Excessive Native Memory Usage After Migrating to Spring Boot

After moving to Spring Boot, the application consumed up to 7 GB of native memory because Meituan’s MCC package scanner invoked Spring’s ZipInflaterInputStream, which allocated large off‑heap buffers during JAR decompression that were only freed by the JVM finalizer and retained by glibc’s 64 MB arenas; restricting the scan scope or upgrading to Spring Boot 2.0.5 eliminated the excess usage.

JVMNative MemoryPerformance debugging

0 likes · 13 min read

Investigation of Excessive Native Memory Usage After Migrating to Spring Boot

MaGe Linux Operations

Feb 12, 2015 · Operations

Boost Nginx Performance with TCMalloc: Step‑by‑Step Installation Guide

This guide explains what TCMalloc is, lists required packages, and provides step‑by‑step commands to install libunwind and gperftools, compile Nginx with the Google perftools module, configure profiling directories, modify the Nginx config, and verify that TCMalloc is correctly loaded to improve server performance.

TCMallocgperftoolslinux

0 likes · 4 min read

Boost Nginx Performance with TCMalloc: Step‑by‑Step Installation Guide