A recent problem I faced was AdoptJDK 11.24 using up my CPU at full capacity because of PrintStream which slowed down my Java application significantly. Test durations revealed that excessive logging together with inefficient PrintStream operations had become the primary factors leading to performance issues. I solved the performance problems by optimizing my logging strategy and implementing asynchronous logging which led to better system stability.
The high CPU usage in AdoptJDK 11.24 occurs because of PrintStream. System performance results in decreased efficiency when logging operations and inefficient output management exceed normal thresholds. This guide addresses CPU pegging causes while presenting optimal solutions to help users improve their system efficiency.
This article examines the causes behind AdoptJDK 11.24 CPU utilization issues with PrintStream while presenting solutions and best practices for system optimization. This article provides insights about the problem and its solutions to enhance system operational efficiency. Get all vital information while reading this content.
What is AdoptJDK 11.24?
AdoptJDK 11.24 represents an open-source version of Java Development Kit (JDK) that functions as a substitute for Oracle’s JDK. This tool has gained wide recognition because of its fast performance combined with free licensing terms and its capability to work with cloud-native applications.
Why Developers Use AdoptJDK 11.24
- Free and open-source.
- Compatible with various Java-based applications.
- Regular updates and security patches.
- The software has been developed to function best in cloud settings and containerized systems.
The PrintStream functions lead to CPU performance spikes within applications which use multiple PrintStream operations in intensive logging environments.
Understanding CPU Pegging in Java Applications
The performance of a computer system declines because a process uses almost all available CPU resources during CPU pegging instances. The PrintStream class inside Java applications can cause CPU pegging because of too much logging together with thread competition and poorly handled console output.
Symptoms of CPU Pegging
- The computer system operates at maximum CPU capacity with no identifiable cause for this state.
- The application shows slowness during response times.
- Java threads currently seem frozen or blocked when calling System.out.println().
- High memory consumption due to excessive logging.
How PrintStream Causes High CPU Usage in AdoptJDK 11.24
1. Excessive Logging to Console
System.out.println() used extensively generates performance problems that slow down system execution. The CPU blocks while performing console writing because this I/O operation functions as a blocking method.
2. Thread-Safety Overhead
PrintStream operates with thread safety because System.out is protected from simultaneous writing access among different threads. The delay along with higher CPU usage occurs when this happens.
3. Blocking I/O Operations
System execution slowness occurs when logging reaches excessive high rates as the disk or terminal has to handle all output. This overburdens available system resources.
4. Unbuffered Output
The PrintStream operates as an unbuffered system by default so every method invocation triggers an instant I/O procedure. The execution of significant CPU overhead develops from this condition.
5. Memory Leaks and Resource Mismanagement
Mismanaged logging techniques often create both ram inefficiency issues with allocation problems and complete out-of-memory situations.
Read More : CPU GPU bottleneck Calculator _ The Complete Guide Of 2025!
Is This Issue Specific to AdoptJDK 11.24?
While this issue is particularly noticeable in AdoptJDK 11.24, it is not exclusive to this version. Other JDK distributions like OpenJDK, Oracle JDK, and Amazon Corretto also exhibit similar behavior under specific conditions.
How to Identify If PrintStream Is Causing High CPU Usage
Profiling and Debugging Techniques
- Using jvisualvm: Identifies high CPU-consuming methods.
- Java Flight Recorder (JFR): Provides an in-depth analysis of CPU utilization.
- Async Profiler: Helps track down I/O-related bottlenecks.
Analyzing Stack Traces
- Run jstack -l <pid> to identify threads blocked on PrintStream.
- Look for excessive System.out.println() calls in logs.
How to Fix High CPU Usage Caused by PrintStream
1. Optimize PrintStream Usage
- Reduce logging frequency.
- Avoid System.out.println() in performance-critical sections.
2. Use Efficient Logging Frameworks
- Switch to Log4j2, SLF4J, or java.util.logging.
- Configure log levels to avoid unnecessary output.
3. Enable Buffered Output
- Use BufferedWriter instead of PrintStream for improved performance.
4. Adjust JVM and OS Settings
- Use JVM flags like -Xloggc and -verbose:gc to monitor log behavior.
- Disable unnecessary logging in production environments.
5. Upgrade to a Different JDK Version
- Test newer versions of AdoptOpenJDK.
- Evaluate alternative JDK distributions with better logging performance.
How This Issue Affects Java Applications in Production
Excessive CPU usage caused by PrintStream can:
- Lead to performance degradation in cloud environments.
- Increase hosting costs due to inefficient CPU utilization.
- Cause application crashes in high-load scenarios.
Does the Issue Occur on All Operating Systems?
While Windows, Linux, and macOS all experience this problem, Linux-based environments often suffer the most due to system logging mechanisms.
FAQs
1. What factors make AdoptJDK 11.24 consume excessive CPU resources?
Several CPU performance issues stem from excessive PrintStream use and thread blocking and I/O operations that create thread contention.
2. Which steps can verify the presence of PrintStream as the main issue?
You can solve this problem through visualvm profiling along with stack trace examination and thread dump monitoring for finding System.out.println() calls that are too abundant.
3. What are the most efficient solutions for logging instead of PrintStream?
Log4j2 and SLF4J together with java.util.logging represent more efficient solutions for logging needs.
JDK version upgrade alone does not serve as a solution to address this problem.
4. Is upgrading JDK a guaranteed fix for this issue?
The deterioration of performance occurs at higher levels of multi-threaded application execution.
The synchronized nature of PrintStream causes thread competition when multiple threads interact with it which leads to processor performance spikes.
5. What are the best methods to maximize logging performance in production systems?
Implement asynchronous logging frameworks combined with minimal console output limits while setting log configurations to match different production environments.
Conclusion
Java developers encounter major challenges with AdoptJDK 11.24 that pegs CPU resources because of the PrintStream issue but appropriate optimization strategies help solve this problem. The combination of minimizing console output and employing efficient logging frameworks together with buffered logging mechanisms enables developers to enhance CPU performance rates in applications.
These strategies enable Java applications to operate efficiently without wasting CPU resources therefore you will achieve improved scalability together with reduced infrastructure costs.
