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Generate thread dump in SAP Java System [Part 4 : Analyzing the Dumps ]

Once you have generated a thread dump, it is essential to analyze the information captured to identify potential issues and bottlenecks in your Java threads. In this section, we will explore the key aspects of analyzing thread dumps and share examples, tricks, and tips to help you make the most of your analysis.

  1. Thread States:

    • Example: Analyzing the thread states can help identify threads that are stuck or waiting for a resource. For instance, if you notice multiple threads in the "Blocked" state, it indicates a potential contention issue where threads are competing for a lock. You can then investigate the code sections responsible for acquiring the lock and optimize their execution.
    • Tip: Pay attention to threads in the "Waiting" or "Timed Waiting" states for a significant amount of time, as they may indicate performance bottlenecks or synchronization issues.
  2. Thread Stack Traces:

    • Example: Examining the thread stack traces can provide insights into code execution and help identify performance bottlenecks. For example, if you observe threads spending a considerable amount of time in certain methods, it could indicate areas of inefficient code that require optimization.
    • Tip: Look for repeating patterns in stack traces, which may indicate areas of high CPU usage or code loops that need to be optimized.
  3. Deadlocks:

    • Example: Analyzing thread dumps can help identify deadlock scenarios. If you notice threads in a "Blocked" state, and their stack traces show circular dependencies on locks, it indicates a potential deadlock situation. You can then focus on resolving the deadlock by identifying the specific resources causing contention and adjusting the synchronization logic.
    • Tip: Look for threads that are waiting for a resource held by another thread, while the other thread is waiting for a resource held by the first thread. This circular dependency is a strong indication of a deadlock.
  4. CPU and Memory Usage:

    • Example: By monitoring CPU and memory usage of threads, you can identify threads that consume excessive resources and impact overall application performance. For instance, if you observe certain threads with high CPU usage, you can analyze their stack traces to identify the code sections responsible for the high workload and optimize them if needed.
    • Tip: Identify threads with unusually high memory usage, as they may indicate memory leaks or inefficient memory management in your application.
  5. Analyzing Thread Interactions:

    • Example: Analyzing the interactions between threads can provide insights into contention and performance bottlenecks. By examining synchronization points, you can identify threads that are competing for shared resources and causing delays. This analysis allows you to optimize thread synchronization and improve overall application performance.
    • Tip: Look for threads that are frequently waiting for a resource held by another thread. This indicates potential contention, and optimizing the synchronization logic can alleviate the contention and enhance performance.
  6. Utilizing Thread Dump Analysis Tools:

    • Example: Thread dump analysis tools like VisualVM, Thread Dump Analyzer, and FastThread provide advanced capabilities to visualize thread states, identify deadlocks, and analyze thread interactions. These tools can help streamline the analysis process and provide additional insights into your Java application's performance.
    • Tip: Familiarize yourself with thread dump analysis tools and their features to leverage their full potential for in-depth analysis and problem resolution.

Remember, effective analysis of thread dumps requires a combination of technical expertise, understanding of your application's architecture, and familiarity with performance optimization techniques. By applying examples, tricks, and tips in your analysis process, you can identify and address performance issues, optimize your Java threads, and ensure a smooth and efficient application experience.

Deadlocks: java.lang.Thread.State: BLOCKED java.util.concurrent.TimeoutException: Indicating a possible deadlock situation where threads are waiting for each other to release resources.

High CPU Usage: java.lang.Thread.State: RUNNABLE with high CPU utilization percentage. OutOfMemoryError: If high CPU usage is caused by excessive garbage collection.

Memory Leaks: java.lang.OutOfMemoryError: Indicating insufficient memory allocation. Exception in thread "main" java.lang.OutOfMemoryError: Java heap space: Indicates memory consumption exceeding the allocated heap space.

Slow Response Time: java.lang.Thread.State: TIMED_WAITING or BLOCKED for a prolonged duration. SQLException or database connection-related exceptions indicating slow database operations.

Thread Pool Exhaustion: java.util.concurrent.RejectedExecutionException: Indicating that the thread pool has reached its maximum capacity and cannot accept new tasks.

Stuck Threads: java.lang.Thread.State: WAITING or BLOCKED for a long time. Deadlocks or thread contention issues resulting in threads being stuck and not making progress.

Thread Starvation: java.lang.Thread.State: TIMED_WAITING or BLOCKED for an extended period. Insufficient thread pool configuration leading to threads waiting for a long time to acquire resources.

Resource Contention:


java.lang.Thread.State: BLOCKED or WAITING for shared resources. Deadlocks or contention issues arising from multiple threads competing for the same resources.

java.lang.Thread.State: This log provides information about the state of a Java thread. Common thread states include:

RUNNABLE: The thread is executing or ready to execute. BLOCKED: The thread is blocked, waiting to acquire a lock. WAITING: The thread is waiting indefinitely for a condition to be satisfied. TIMED_WAITING: The thread is waiting for a specific amount of time. TERMINATED: The thread has completed execution and terminated.

java.lang.OutOfMemoryError: This log indicates that the Java Virtual Machine (JVM) has run out of memory. It can occur when the heap space or other memory areas are exhausted. It requires analyzing the memory usage and identifying potential memory leaks or adjusting the JVM memory settings. java.util.concurrent.RejectedExecutionException: This log indicates that a task submitted to a thread pool has been rejected because the thread pool is full. It can occur when the maximum capacity of the thread pool is reached. It requires analyzing the thread pool configuration and considering adjustments to accommodate the task load.

Deadlock Detected: This log indicates the detection of a deadlock situation where threads are waiting for each other to release resources. It requires analyzing the stack traces of the blocked threads and identifying the lock dependencies to resolve the deadlock.

CPU Utilization: High CPU utilization logs can be observed in the thread dumps when threads are consuming a significant amount of CPU time. It indicates potential performance bottlenecks and requires analyzing the stack traces of the CPU-intensive threads to optimize code execution and reduce CPU usage.

Stack Traces: Stack traces provide a detailed view of the method calls and execution flow in each thread. They help in identifying the sequence of method invocations, potential bottlenecks, and the source of performance issues. Analyzing the stack traces can assist in pinpointing areas for optimization and improving application performance.

Thread Information: Thread Name: The name assigned to the thread. Example: "Thread-1," "Thread-2," or "main." Thread ID (tid): A unique identifier for the thread. Priority: The priority level of the thread. OS Priority: The operating system's priority assigned to the thread. Thread ID (nid): The native ID assigned to the thread. Thread State: The current state of the thread, such as RUNNABLE, WAITING, BLOCKED, or TIMED_WAITING.

Stack Frames: Java.lang.Thread.State: Indicates the current state of the thread. Method Calls: Represents the sequence of method calls in the stack trace. Native Methods: Indicates native method invocations. File Name and Line Number: Specifies the file name and line number where the method call is located. Class and Method: The class and method names involved in the stack trace.

Example :-

"Thread-2" #5678 prio=5 os_prio=0 tid=0x00007ffea7abc000 nid=0x9abc waiting on condition [0x000070000000d000] java.lang.Thread.State: WAITING (parking) at sun.misc.Unsafe.park(Native Method) - parking to wait for <0x000000079abcde00> (a java.util.concurrent.locks.ReentrantLock$NonfairSync) at java.util.concurrent.locks.LockSupport.park( at java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt( at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireShared( at java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireShared( at java.util.concurrent.locks.ReentrantLock$NonfairSync.lock( at java.util.concurrent.locks.ReentrantLock.lock( at com.example.MyClass.doSomething( at

In this example: The thread with the name "Thread-2" has thread ID 5678 and native ID 9abc. The thread is currently in the WAITING state, specifically waiting for a condition. The stack trace shows a series of method calls, starting from sun.misc.Unsafe.park (a native method) down to Each method call provides information about the class, method, and line number where the call is being made. The stack trace also indicates the locking mechanism being used, in this case, a ReentrantLock.

In the next section, we will discuss best practices and techniques for resolving common issues identified through thread dump analysis. 


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