[java] High CPU Utilization in java application - why?

I have a Java Application (web-based) that at times shows very high CPU Utilization (almost 90%) for several hours. Linux TOP command shows this. On application restart, the problem goes away.

So to investigate:

I take Thread Dump to find what threads are doing. Several Threads are found in 'RUNNABLE' state, some in few other states. On taking repeated Thread Dumps, i do see some threads that are always present in 'RUNNABLE' state. So, they appear to be the culprit.

But I am unable to tell for sure, which Thread is hogging the CPU or has gone into a infinite loop (thereby causing high CPU util).

Logs don't necessarily help, as the offending code may not be logging anything.

How do I investigate - What part of the application or what-thread is causing High CPU Utilization? - Any other ideas?

The answer is


Your first approach should be to find all references to Thread.sleep and check that:

  1. Sleeping is the right thing to do - you should use some sort of wait mechanism if possible - perhaps careful use of a BlockingQueue would help.

  2. If sleeping is the right thing to do, are you sleeping for the right amount of time - this is often a very difficult question to answer.

The most common mistake in multi-threaded design is to believe that all you need to do when waiting for something to happen is to check for it and sleep for a while in a tight loop. This is rarely an effective solution - you should always try to wait for the occurrence.

The second most common issue is to loop without sleeping. This is even worse and is a little less easy to track down.


Flame graphs can be helpful in identifying the execution paths that are consuming the most CPU time.

In short, the following are the steps to generate flame graphs

yum -y install perf

wget https://github.com/jvm-profiling-tools/async-profiler/releases/download/v1.8.3/async-profiler-1.8.3-linux-x64.tar.gz

tar -xvf async-profiler-1.8.3-linux-x64.tar.gz
chmod -R 777 async-profiler-1.8.3-linux-x64
cd async-profiler-1.8.3-linux-x64

echo 1 > /proc/sys/kernel/perf_event_paranoid
echo 0 > /proc/sys/kernel/kptr_restrict

JAVA_PID=`pgrep java`

./profiler.sh -d 30 $JAVA_PID -f flame-graph.svg

flame-graph.svg can be opened using browsers as well, and in short, the width of the element in stack trace specifies the number of thread dumps that contain the execution flow relatively.

There are few other approaches to generating them

  • By introducing -XX:+PreserveFramePointer as the JVM options as described here
  • Using async-profiler with -XX:+UnlockDiagnosticVMOptions -XX:+DebugNonSafepoints as described here

But using async-profiler without providing any options though not very accurate, can be leveraged with no changes to the running Java process with low CPU overhead to the process.

Their wiki provides details on how to leverage it. And more about flame graphs can be found here


During these peak CPU times, what is the user load like? You say this is a web based application, so the culprits that come to mind is memory utilization issues. If you store a lot of stuff in the session, for instance, and the session count gets high enough, the app server will start thrashing about. This is also a case where the GC might make matters worse depending on the scheme you are using. More information about the app and the server configuration would be helpful in pointing towards more debugging ideas.


You did not assign the "linux" to the question but you mentioned "Linux top". And thus this might be helpful:

Use the small Linux tool threadcpu to identify the most cpu using threads. It calls jstack to get the thread name. And with "sort -n" in pipe you get the list of threads ordered by cpu usage.

More details can be found here: http://www.tuxad.com/blog/archives/2018/10/01/threadcpu_-_show_cpu_usage_of_threads/index.html

And if you still need more details then create a thread dump or run strace on the thread.


In the thread dump you can find the Line Number as below.

for the main thread which is currently running...

"main" #1 prio=5 os_prio=0 tid=0x0000000002120800 nid=0x13f4 runnable [0x0000000001d9f000]
   java.lang.Thread.State: **RUNNABLE**
    at java.io.FileOutputStream.writeBytes(Native Method)
    at java.io.FileOutputStream.write(FileOutputStream.java:313)
    at com.rana.samples.**HighCPUUtilization.main(HighCPUUtilization.java:17)**

You may be victim of a garbage collection problem.

When your application requires memory and it's getting low on what it's configured to use the garbage collector will run often which consume a lot of CPU cycles. If it can't collect anything your memory will stay low so it will be run again and again. When you redeploy your application the memory is cleared and the garbage collection won't happen more than required so the CPU utilization stays low until it's full again.

You should check that there is no possible memory leak in your application and that it's well configured for memory (check the -Xmx parameter, see What does Java option -Xmx stand for?)

Also, what are you using as web framework? JSF relies a lot on sessions and consumes a lot of memory, consider being stateless at most!


Examples related to java

Under what circumstances can I call findViewById with an Options Menu / Action Bar item? How much should a function trust another function How to implement a simple scenario the OO way Two constructors How do I get some variable from another class in Java? this in equals method How to split a string in two and store it in a field How to do perspective fixing? String index out of range: 4 My eclipse won't open, i download the bundle pack it keeps saying error log

Examples related to multithreading

How can compare-and-swap be used for a wait-free mutual exclusion for any shared data structure? Waiting until the task finishes What is the difference between Task.Run() and Task.Factory.StartNew() Why is setState in reactjs Async instead of Sync? What exactly is std::atomic? Calling async method on button click WAITING at sun.misc.Unsafe.park(Native Method) How to use background thread in swift? What is the use of static synchronized method in java? Locking pattern for proper use of .NET MemoryCache

Examples related to performance

Why is 2 * (i * i) faster than 2 * i * i in Java? What is the difference between spark.sql.shuffle.partitions and spark.default.parallelism? How to check if a key exists in Json Object and get its value Why does C++ code for testing the Collatz conjecture run faster than hand-written assembly? Most efficient way to map function over numpy array The most efficient way to remove first N elements in a list? Fastest way to get the first n elements of a List into an Array Why is "1000000000000000 in range(1000000000000001)" so fast in Python 3? pandas loc vs. iloc vs. at vs. iat? Android Recyclerview vs ListView with Viewholder

Examples related to web-applications

Spring - No EntityManager with actual transaction available for current thread - cannot reliably process 'persist' call How do I choose the URL for my Spring Boot webapp? Difference between MEAN.js and MEAN.io External VS2013 build error "error MSB4019: The imported project <path> was not found" How to unpackage and repackage a WAR file IntelliJ, can't start simple web application: Unable to ping server at localhost:1099 Using form input to access camera and immediately upload photos using web app Pass user defined environment variable to tomcat ASP.NET: HTTP Error 500.19 – Internal Server Error 0x8007000d Best practices when running Node.js with port 80 (Ubuntu / Linode)

Examples related to cpu-usage

High CPU Utilization in java application - why? How prevent CPU usage 100% because of worker process in iis SQL Server 100% CPU Utilization - One database shows high CPU usage than others How to read the Stock CPU Usage data What is the correct Performance Counter to get CPU and Memory Usage of a Process? Get Memory Usage in Android How to calculate the CPU usage of a process by PID in Linux from C? MySQL high CPU usage Retrieve CPU usage and memory usage of a single process on Linux? How do I find out what is hammering my SQL Server?