Using JAX-RS with Protocol Buffers for high-performance REST APIs — spullara



Using JAX-RS with Protocol Buffers for high-performance REST APIs — spullara

One of the great things about the JAX-RS specification is that it is very extensible and adding new providers for different mime-types is very easy. One of the interesting binary protocols out there is Google Protocol Buffers. They are designed for high-performance systems and drastically reduce the amount of over-the-wire data and also the amount of CPU spent serializing and deserializing that data. There are other similar frameworks out there including Fast Infoset and Thrift. Extending JAX-RS to support those protocols is nearly identical so all of the ideas I'll talk about are generally valid for those frameworks as well. The one limitation that we will table for now is that JAX-RS only works over HTTP and will not work for raw socket protocols and the high-performance aspect of protobufs is somewhat reduced by our dependency on the HTTP envelope. My assumption is that you have done your homework and know that message passing is your overriding bottleneck.

Read full article from Using JAX-RS with Protocol Buffers for high-performance REST APIs — spullara


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