book

Troubleshooting Java

Name: Troubleshooting Java
Author: Laurentiu Spilca
ISBN: 9781617299773

by Laurentiu Spilca

April 2023

Intermediate to advanced

328 pages

8h 31m

English

Manning Publications

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inside front cover
Tips for applying investigation techniques
Troubleshooting Java
Copyright
contents
front matter
prefaceacknowledgmentsabout this bookWho should read this bookHow this book is organized: A roadmapAbout the codeliveBook discussion forumAuthor onlineabout the authorabout the cover illustration
Part 1. The basics of investigating a codebase
1 Revealing an app’s obscurities
1.1 How to more easily understand your app1.2 Typical scenarios for using investigation techniques1.2.1 Demystifying the unexpected output1.2.2 Learning certain technologies1.2.3 Clarifying slowness1.2.4 Understanding app crashes1.3 What you will learn in this bookSummary
2 Understanding your app’s logic through debugging techniques
2.1 When analyzing code is not enough2.2 Investigating code with a debugger2.2.1 What is the execution stack trace, and how do I use it?2.2.2 Navigating code with the debugger2.3 When using the debugger might not be enoughSummary
3 Finding problem root causes using advanced debugging techniques
3.1 Minimizing investigation time with conditional breakpoints3.2 Using breakpoints that don’t pause the execution3.3 Dynamically altering the investigation scenario3.4 Rewinding the investigation caseSummary
4 Debugging apps remotely
4.1 What is remote debugging?4.2 Investigating in remote environments4.2.1 The scenario4.2.2 Finding issues in remote environmentsSummary

5 Making the most of logs: Auditing an app’s behavior
5.1 Investigating issues with logs5.1.1 Using logs to identify exceptions5.1.2 Using exception stack traces to identify what calls a method5.1.3 Measuring time spent to execute a given instruction5.1.4 Investigating issues in multithreaded architectures5.2 Implementing logging5.2.1 Persisting logs5.2.2 Defining logging levels and using logging frameworks5.2.3 Problems caused by logging and how to avoid them5.3 Logs vs. remote debuggingSummary
Part 2. Deep analysis of an app’s execution
6 Identifying resource consumption problems using profiling techniques
6.1 Where would a profiler be useful?6.1.1 Identifying abnormal usage of resources6.1.2 Finding out what code executes6.1.3 Identifying slowness in an app’s execution6.2 Using a profiler6.2.1 Installing and configuring VisualVM6.2.2 Observing the CPU and memory usage6.2.3 Identifying memory leaksSummary
7 Finding hidden issues using profiling techniques
7.1 Sampling to observe executing code7.2 Profiling to learn how many times a method executed7.3 Using a profiler to identify SQL queries an app executes7.3.1 Using a profiler to retrieve SQL queries not generated by a framework7.3.2 Using the profiler to get the SQL queries generated by a framework7.3.3 Using the profiler to get programmatically generated SQL queriesSummary
8 Using advanced visualization tools for profiled data
8.1 Detecting problems with JDBC connections8.2 Understanding the app’s code design using call graphs8.3 Using flame graphs to spot performance problems8.4 Analyzing queries on NoSQL databasesSummary
9 Investigating locks in multithreaded architectures
9.1 Monitoring threads for locks9.2 Analyzing thread locks9.3 Analyzing waiting threadsSummary
10 Investigating deadlocks with thread dumps
10.1 Getting a thread dump10.1.1 Getting a thread dump using a profiler10.1.2 Generating a thread dump from the command line10.2 Reading thread dumps10.2.1 Reading plain-text thread dumps10.2.2 Using tools to better grasp thread dumpsSummary
11 Finding memory-related issues in an app’s execution
11.1 Sampling and profiling for memory issues11.2 Using heap dumps to find memory leaks11.2.1 Obtaining a heap dump11.2.2 Reading a heap dump11.2.3 Using the OQL console to query a heap dumpSummary
Part 3. Finding problems in large systems
12 Investigating apps’ behaviors in large systems
12.1 Investigating communication between services12.1.1 Using HTTP server probes to observe HTTP requests12.1.2 Using HTTP client probes to observe HTTP requests the app sends12.1.3 Investigating low-level events on sockets12.2 The relevance of integrated log monitoring12.3 Using deployment tools in investigations12.3.1 Using fault injection to mimic hard-to-replicate issues12.3.2 Using mirroring to facilitate testing and error detectionSummary
Appendix A. Tools you’ll need
Appendix B. Opening a project
Appendix C. Recommended further reading
Appendix D. Understanding Java threads
D.1 What is a thread?D.2 A thread’s life cycleD.3 Synchronizing threadsD.3.1 Synchronized blocksD.3.2 Using wait(), notify(), and notifyAll()D.3.3 Joining threadsD.3.4 Blocking threads for a defined timeD.3.5 Synchronizing threads with blocking objectsD.4 Common issues in multithreaded architecturesD.4.1 Race conditionsD.4.2 DeadlocksD.4.3 LivelocksD.4.4 StarvationD.5 Further reading
Appendix E. Memory management in Java apps
E.1 How the JVM organizes an app’s memoryE.2 The stack used by threads to store local dataE.3 The heap the app uses to store object instancesE.4 The metaspace memory location for storing data types
index
inside back cover

Content preview from Troubleshooting Java

Part 2. Deep analysis of an app’s execution

In part 2, we will discuss advanced techniques you can use to deeply investigate an app’s execution. Most developers are exposed to debugging and logging (discussed in part 1), but not many know how to find all the “secrets” of an execution’s process by using profiling techniques, investigating threads, and analyzing the memory consumption. Knowing these techniques is essential and sometimes is the only way to solve certain puzzles.

In chapter 6, you’ll learn how to analyze CPU and memory consumption. In chapter 7, we’ll discuss using a profiler to identify latency problems. In chapters 8 and 9, we’ll ...

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Troubleshooting Java

by Laurentiu Spilca

Part 2. Deep analysis of an app’s execution

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