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Скачать или смотреть A Comprehensive Guide to Selecting a JFR Timeframe

  • vlogize
  • 2025-04-05
  • 3
A Comprehensive Guide to Selecting a JFR Timeframe
How to select a JFR timeframejavajfr
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Описание к видео A Comprehensive Guide to Selecting a JFR Timeframe

Discover how to efficiently select specific timeframes from JFR recordings with practical code solutions and visualizer tools.
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This video is based on the question https://stackoverflow.com/q/78048846/ asked by the user 'fabiim' ( https://stackoverflow.com/u/770476/ ) and on the answer https://stackoverflow.com/a/78053608/ provided by the user 'Kire Haglin' ( https://stackoverflow.com/u/2049208/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to select a JFR timeframe

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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A Comprehensive Guide to Selecting a JFR Timeframe

Java Flight Recorder (JFR) is a powerful tool for capturing performance metrics and diagnosing issues in Java applications. However, if you have a recording that covers a significant period, you may only be interested in analyzing a specific timeframe. This raises an important question:

How Can You Select a JFR Timeframe?

Many users wonder if there is a straightforward way to extract a specific time frame from a JFR recording. Fortunately, while the built-in tools to extract time frames directly from a JFR file are limited, solutions do exist that can help you achieve this.

Understanding JFR Tools and Commands

One of the foundational commands available in JFR management is:

[[See Video to Reveal this Text or Code Snippet]]

This command can split larger JFR files into smaller, more manageable pieces. However, it does not provide the capability to extract a specific timeframe directly.

Creating a Custom Solution with JDK

For users who are looking for a more tailored solution, there is a way to create your own program using JDK 19 or later. This method allows for the definition of a start and end time, letting you filter the recording for exactly what you need.

Step-by-Step Guide to Implementing the Code

Here is a practical example of how you can write a simple Java program to extract a JFR timeframe:

Setup Your Development Environment: Ensure you have JDK 19 or a newer version installed on your computer.

Understanding the Code: Below is a sample code that you can use. It reads a JFR recording and writes a new file based on specified start and end times.

[[See Video to Reveal this Text or Code Snippet]]

Running the Program:

Compile the program using javac JFRTimeframeExtractor.java.

Run the program via the command line providing the start time, end time, input file, and output file as arguments. For example:

[[See Video to Reveal this Text or Code Snippet]]

Visualizing Custom Time Frames

Besides writing programs, you might also be interested in visualizing the data for better inspection. Unfortunately, currently available VM visualizers do not allow for custom timeframe selection; they display the entirety of the recording. However, by using the extracted timeframe you’ve created, you can visualize that specific portion with tools that support JFR files.

Conclusion

Selecting a JFR timeframe might initially seem daunting due to the limited built-in command options. However, by using Java's capabilities and writing a small program, you can easily extract and analyze the data pertaining to your desired timeframe. This offers a robust way to focus on performance issues during specific periods without sifting through unnecessary data.

Now you can tackle your JFR recordings with greater precision and insight!

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