0 µs .doCreateConnectionProxyĤ7.2% - 115 ms - inh. 0 µs .AbstractXPooledConnection.createConnectionProxyĤ7.2% - 115 ms - inh. 0 µs .ConnectionPool.borrowConnectionĤ7.2% - 115 ms - inh. I have tried build 3.6.5 and the new 3.6.6 build in the Maven repo and get the same thing each time. This time can be much worse under load as the getConnection method is synchronized so if multiple requests come in at about the same time then some threads are blocked waiting in line for each thread to create a new proxy one at a time. JProfiler shows that it generally takes a little over 100 ms to generate the proxy for each connection. Is there any way to minimize the time taken or the number of invocations? We are not setting any other pool attributes like max idle time, reap time, etc., Our MQ/DB min and max connection pool sizes are set to 10 each. newInstanceĦ.3% - 739 ms - 21 hot spot inv. ConnectionPool.recycleConnectionIfPossibleĬom.ĩ.8% - 1,146 ms - 21 hot spot inv. AbstractXPooledConnection.createConnectionProxyĤ2.8% - 4,990 ms - 40 hot spot inv. doCreateConnectionProxyĤ3.7% - 5,095 ms - 41 hot spot inv. newProxyInstanceĤ3.7% - 5,095 ms - 41 hot spot inv. newProxyInstanceĥ9.9% - 6,982 ms - 83 hot spot inv. Its taking an average of 85ms per invocation with some instances being as high as 440ms:ģ.8% - 440 ms - 1 inv. We are seeing JProfiler hotspots related to creation of XA connection wrappers (mostly jdbc). We are using Atomikos Transaction manager and connection pool for XA transactions to Active MQ and Oracle. 14.Version of Atomikos being used is 3.6.3.Execution Profiling Tools for Developers.Why Not Use Finalization to Solve the Problem?.Upper Method Size Limit for Compilation.Klass Words, Vtables, and Pointer Swizzling.Concurrent Mode Failures Due to Fragmentation.Different Visualizations of the Same Data.GC Logging, Monitoring, Tuning, and Tools Don’t Microbenchmark If You Can Help It (A True Story).Introduction to Measuring Java Performance.Cognitive Biases and Performance Testing.Performance Testing as Part of the SDLC.Performance Testing Patterns and Antipatterns Branch Prediction and Speculative Execution.Learn performance aspects of the Java Collections API and get an overview of Java concurrency.Explore JIT compilation and Java language performance techniques.Dive into JVM garbage collection logging, monitoring, tuning, and tools.Understand the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking.Explore several performance tests and common anti-patterns that can vex your team.Learn how Java principles and technology make the best use of modern hardware and operating systems.Performance tuning is a process of defining and determining desired outcomes. There are no simple recipes, tips and tricks, or algorithms to learn. There are four main topics that JProfiler deals with: Method calls This is commonly called 'CPU profiling'. You can use it in development, for quality assurance and for firefighting missions when your production system experiences problems.
#JPROFILER LIMIT HOTSPOTS PROFESSIONAL#
Most resources on performance tend to discuss the theory and internals of Java virtual machines, but this book focuses on the practicalities of performance tuning by examining a wide range of aspects. What is JProfiler JProfiler is a professional tool for analyzing what is going on inside a running JVM.
#JPROFILER LIMIT HOTSPOTS HOW TO#
With this practical book, intermediate to advanced Java technologists working with complex technology stacks will learn how to tune Java applications for performance using a quantitative, verifiable approach. Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.
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