Introduction to JMH  - Java Performance Tuning Guide



Introduction to JMH  - Java Performance Tuning Guide

Menu 10 May 2014: Original version. Introduction This article will give you an overview of basic rules and abilities of JMH. The second article will give you an overview of JMH profilers . JMH is a new microbenchmarking framework (first released late-2013). Its distinctive advantage over other frameworks is that it is developed by the same guys in Oracle who implement the JIT. In particular I want to mention Aleksey Shipilev and his brilliant blog . JMH is likely to be in sync with the latest Oracle JRE changes, which makes its results very reliable. You can find JMH examples here . JMH has only 2 requirements (everything else are recommendations): You need to create a maven project using a command from the JMH official web page You need to annotate test methods with @Benchmark annotation In some cases, it is not convenient to create a new project just for the performance testing purposes. In this situation you can rather easily add JMH into an existing project.

Read full article from Introduction to JMH  - Java Performance Tuning Guide


No comments:

Post a Comment

Labels

Algorithm (219) Lucene (130) LeetCode (97) Database (36) Data Structure (33) text mining (28) Solr (27) java (27) Mathematical Algorithm (26) Difficult Algorithm (25) Logic Thinking (23) Puzzles (23) Bit Algorithms (22) Math (21) List (20) Dynamic Programming (19) Linux (19) Tree (18) Machine Learning (15) EPI (11) Queue (11) Smart Algorithm (11) Operating System (9) Java Basic (8) Recursive Algorithm (8) Stack (8) Eclipse (7) Scala (7) Tika (7) J2EE (6) Monitoring (6) Trie (6) Concurrency (5) Geometry Algorithm (5) Greedy Algorithm (5) Mahout (5) MySQL (5) xpost (5) C (4) Interview (4) Vi (4) regular expression (4) to-do (4) C++ (3) Chrome (3) Divide and Conquer (3) Graph Algorithm (3) Permutation (3) Powershell (3) Random (3) Segment Tree (3) UIMA (3) Union-Find (3) Video (3) Virtualization (3) Windows (3) XML (3) Advanced Data Structure (2) Android (2) Bash (2) Classic Algorithm (2) Debugging (2) Design Pattern (2) Google (2) Hadoop (2) Java Collections (2) Markov Chains (2) Probabilities (2) Shell (2) Site (2) Web Development (2) Workplace (2) angularjs (2) .Net (1) Amazon Interview (1) Android Studio (1) Array (1) Boilerpipe (1) Book Notes (1) ChromeOS (1) Chromebook (1) Codility (1) Desgin (1) Design (1) Divide and Conqure (1) GAE (1) Google Interview (1) Great Stuff (1) Hash (1) High Tech Companies (1) Improving (1) LifeTips (1) Maven (1) Network (1) Performance (1) Programming (1) Resources (1) Sampling (1) Sed (1) Smart Thinking (1) Sort (1) Spark (1) Stanford NLP (1) System Design (1) Trove (1) VIP (1) tools (1)

Popular Posts