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Minecraft 1.20.1, 1.21.1용 spark 모드

spark는 Minecraft 클라이언트, 서버 및 프록시용 성능 프로파일러입니다.

부터 lucko · Modrinth
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업데이트됨
업데이트됨 26.09.2026

spark is a performance profiler for Minecraft clients, servers and proxies.

  • Website - browse the project homepage
  • Documentation - read documentation and usage guides
  • Downloads - latest plugin/mod downloads

spark is proudly sponsored by BisectHosting.​

BisectHosting are Minecraft server hosting experts, ready to help you create and host your very own server! They are a trusted and well-established hosting provider in the community, and provide an outstanding level of service that we are happy to recommend. There is a special 25% off discount available for spark users - click the link above to create your server today.

What does spark do?

spark is made up of three separate components:

  • CPU Profiler: Diagnose performance issues.
  • Memory Inspection: Diagnose memory issues.
  • Server Health Reporting: Keep track of overall server health.

⚡ CPU Profiler

spark's profiler can be used to diagnose performance issues: "lag", low tick rate, high CPU usage, etc.

It is:

  • Lightweight - can be ran in production with minimal impact.
  • Easy to use - no configuration or setup necessary, just install the plugin.
  • Quick to produce results - running for just ~30 seconds is enough to produce useful insights into problematic areas for performance.
  • Customisable - can be tuned to target specific threads, sample at a specific interval, record only "laggy" periods, etc
  • Highly readable - simple tree structure lends itself to easy analysis and interpretation. The viewer can also apply deobfuscation mappings.

It works by sampling statistical data about the systems activity, and constructing a call graph based on this data. The call graph is then displayed in an online viewer for further analysis by the user.

There are two different profiler engines:

  • Native AsyncGetCallTrace + perf_events - uses async-profiler (*only available on Linux x86_64 systems*)
  • Built-in Java ThreadMXBean - an improved version of the popular WarmRoast profiler by sk89q.

⚡ Memory Inspection

spark includes a number of tools which are useful for diagnosing memory issues with a server.

  • Heap Summary - take & analyse a basic snapshot of the servers memory
  • A simple view of the JVM's heap, see memory usage and instance counts for each class
  • Not intended to be a full replacement of proper memory analysis tools. (see below)
  • Heap Dump - take a full (HPROF) snapshot of the servers memory
  • Dumps (& optionally compresses) a full snapshot of JVM's heap.
  • This snapshot can then be inspected using conventional analysis tools.
  • GC Monitoring - monitor garbage collection activity on the server
  • Allows the user to relate GC activity to game server hangs, and easily see how long they are taking & how much memory is being free'd.
  • Observe frequency/duration of young/old generation garbage collections to inform which GC tuning flags to use

⚡ Server Health Reporting

spark can report a number of metrics summarising the servers overall health.

These metrics include:

  • TPS - ticks per second, to a more accurate degree indicated by the /tps command
  • Tick Durations - how long each tick is taking (min, max and average)
  • CPU Usage - how much of the CPU is being used by the server process, and by the overall system
  • Memory Usage - how much memory is being used by the process
  • Disk Usage - how much disk space is free/being used by the system

As well as providing tick rate averages, spark can also monitor individual ticks - sending a report whenever a single tick's duration exceeds a certain threshold. This can be used to identify trends and the nature of performance issues, relative to other system or game events.

Usage

To install, just add the .jar file to your mods directory.

Information about how to use commands can be found in the docs.

If you’d like help analysing a profiling report, or just want to chat, feel free to join us on Discord.

Guides

There are a few small "guides" available in the docs, covering the following topics.

  • The tick loop
  • Finding the cause of lag spikes

spark 설치 방법

With Millida Launcher

  1. Install Millida Launcher

    The launcher is free: download it at millida.net/launcher and sign in with any nickname.

  2. Click “Install” on this page

    The launcher opens and installs the mod for Minecraft 1.16.5–26.3 on Fabric, Forge or NeoForge automatically.

  3. Launch the game

    A profile with it appears in the launcher: click “Play”.

Manually

  1. Install Fabric, Forge or NeoForge

    The loader must match the game version of the mod file, for example Minecraft 26.3. After installing it, a separate profile appears in your launcher.

  2. Download the file for your version

    In the version list above, pick the file spark-1.10.187-neoforge.jar (3.7 MB) for your game version and loader.

  3. Put it in the mods folder

    The folder is inside .minecraft (Windows: %appdata%\.minecraft\mods). If it does not exist, create it.

  4. Launch the loader profile

    Open “Mods” in the main menu: spark should be in the list.

On a server

  1. A server on Fabric, Forge or NeoForge

    The mod only works on a server with the same loader and game version, for example 26.3.

  2. File goes into the server’s mods folder

    Stop the server, put the mod file into the mods folder and start the server again.

  3. Use the “To server” button

    On Millida Hosting, the button at the top of the page uploads the file to your server and restarts it for you.

버전

의존성 포함

Minecraft로더파일날짜작업
26.3NeoForge26.33.7 MB 1
26.3Fabric26.33.7 MB 32
26.3Forge26.33.7 MB 4
26.2NeoForge26.23.9 MB
26.2Fabric26.23.8 MB
26.2Forge26.23.9 MB
26.2NeoForge26.23.8 MB—
26.1NeoForge26.13.8 MB—

FAQ

Is spark for Forge or Fabric?

There are files for Fabric: 1.18.2–26.3, for Forge: 1.16.5–26.3 and for NeoForge: 1.21–26.3.

Where can I download spark safely?

On this page: the file spark-1.10.187-neoforge.jar (3.7 MB) is stored on Millida’s server, with no link shorteners. SHA-1 checksum: be5c8cf137b1bcaa5627a85c7cfe83da846e9e36.

리뷰

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