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Linux Operation and Maintenance
How Tomcat logs help troubleshoot memory leaks
How Tomcat logs help troubleshoot memory leaks
Tomcat logs are the key to diagnosing memory leak problems. By analyzing Tomcat logs, you can gain insight into memory usage and garbage collection (GC) behavior, effectively locate and resolve memory leaks. Here is how to troubleshoot memory leaks using Tomcat logs:
1. GC log analysis
First, enable detailed GC logging. Add the following JVM options to the Tomcat startup parameters:
<code>-XX: PrintGCDetails -XX: PrintGCDateStamps -Xloggc:gc.log</code>
These parameters will generate a detailed GC log (gc.log), including information such as GC type, recycled object size and time.
When analyzing gc.log, pay attention to the following points:
- Full GC Frequency: Frequent Full GCs usually imply memory leaks.
- Recycling effect: Observe the memory usage in the elderly before and after Full GC. A small amount of recycling indicates that there are unrecycled objects.
- Recycling time: Long-term Full GC (Stop The World) is also a sign of memory leaks.
2. Heap dump analysis
When memory exceptions, use the jmap command to generate a heap dump snapshot:
<code>jmap -dump:format=b,file=heap.bin<pid></pid></code>
in<pid></pid> It is the Tomcat process ID.
Then, use tools such as Eclipse Memory Analyzer (MAT) to analyze the heap.bin file. Focus on dominant trees, leaking doubts and histograms to find objects that occupy a lot of memory.
3. Tomcat log monitoring
In addition to GC logs, you also need to monitor other log files of Tomcat:
- catalina.out: Records Tomcat startup and application running information, which helps to detect potential memory problems.
- localhost.log and access log: records URL access, help determine whether a specific request causes memory leakage.
4. Case: ThreadLocal Trap
ThreadLocal is often misused, resulting in memory leaks. If the cached objects in ThreadLocal are not cleaned in time, they will occupy memory for a long time. MAT can help you identify large numbers of ThreadLocalMap's Entry that references unreleased objects.
5. Preventive measures
- Code review: Regularly review code, especially resource management and large object operations sections, to detect potential memory leaks as early as possible.
- Object pool: For creating costly objects (such as database connections), using object pools can reuse objects, reducing the overhead of creation and destruction, and reducing the risk of leakage.
By effectively leveraging Tomcat logs and appropriate analysis tools, you can efficiently troubleshoot and resolve memory leaks, ensuring application stability and performance.
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