Insight into Performance Testing J2EE Applications Sep 2008

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1 Insight into Performance Testing J2EE Applications Sep 2008 Presented by Chandrasekar Thodla 2008, Cognizant Technology Solutions. All Rights Reserved. The information contained herein is subject to change without notice. Testing Servic es

2 Agenda The Declaration J2EE Introduction Performance testing strategy for J2EE applications J2EE Application Architecture Need for effective Performance Monitoring strategy Performance metrics for J2EE system J2EE Application Server level Performance monitoring Advanced Instrumentation based Monitoring tools Approach to Performance Analysis Case studies Possible pitfalls during Performance Analysis 2

3 The Declaration We are NOT Performance Testers! We are Performance Doctors and Applications are our patients! We, as doctors:» Test to validate» Monitor health» Analyze & Diagnose abnormalities» Recommend cures Testing To validate/acknowledge the problem» E.g., The average transaction response time (of 9.5 seconds) doesn t meet the SLA (of 5 seconds) Provide value Help customers spot the performance bottleneck and give them the remedy» E.g., The high response time is due to high GC activities, which can be minimized by increasing the JVM heap size to from current 256MB to 512 MB. 3

4 Java 2 Enterprise Edition (J2EE) Introduction J2EE is a widely used platform for server programming in Java language It offers libraries which provide functionality to deploy fault-tolerant, distributed, multi-tier Java software Based on modular components deployed on a container (application server) Different types of J2EE systems Web based system using JSP/Servlets presentation tier Webservices based system Asynchronous, Message based systems (JMS) 4

5 J2EE Application Architecture Understand Application Architecture during the Requirements analysis phase Concurrent Requests HTTP Servlet EJB Client Technology used to implement the system» E.g., J2EE web based, Web services based, Message based The components that make up the system» E.g., Session Bean, Message Driven Beans, WebServices, JMS Interaction between the components» E.g., Invoking Session Bean methods, WebService calls, JMS Messages Database Connectivity» JDBC Connection pool (or) Hibernate JVM 1 EJB Method Web Service client JVM 2 Web Service JDBC Connectivity JVM 3 DB 5

6 Need for Effective Performance Monitoring strategy Bottlenecks My application responds poorly But WHY? Bottlenecks in your application Performance limiters Bottlenecks can be in any tier of J2EE architecture Identify bottlenecks, resolve them tier by tier Bottlenecks in a J2EE system are caused by 2 factors Code related performance issues Improper Configurations in Web/Application/Database servers E.g., JDBC Connection pool in Application server Hardware/Software limitations Slow Response time Network LR Fast Web server SLOW Application Server Fast DB Server 6

7 Performance Metrics for J2EE system What to Monitor? Depends on Application architecture, Project scope and access restrictions Client side statistics Response Time, Throughput, Hits/Second. Server side statistics (for illustration only Not complete list) High Level Performance Statistics (Application server specific) DB Connection Pool free, active, total Thread Pool free, used, total Session info active, invalidated Web service call response time EJB Method execution time JVM Performance Statistics (JVM specific) (IBM JVM) Heap used/free/total Limit GC Duration GC Frequency Bytes requested during Allocation Failure (Object size) System Performance Statistics (OS specific) CPU Utilization user, system, total Memory utilization used, free, total Paging info page in, page out, page faults Processor Run Queue, blocked queue Network Statistics Bytes Sent/Received, etc Disk I/O Disk %used time, %red, %write 7

8 J2EE Application Server level Performance monitoring Identify counters to monitor Web Server VM Performance Monitor & Identify VM Performance issues» Heap memory (used, Free, Total)» GC time & frequency Object Pool JDBC Connection Pool Utilization Monitor bottlenecks due to Connection pool settings» Connections In Use» Connection Use time» Wait time HTTP Thread Pool Utilization - Monitor» Percent Maxed» Threads in Use HTTP Thread Pool EJB Web Services Method1 Method2 Method1 Method2 JDBC Connection Pool Other Counters» EJB Method execution time» Object Pool Utilization» Webservice response times JAVA Virtual Memory Heap Memory 8

9 Advanced Instrumentation based Monitoring tools Advanced Monitoring Advanced monitoring tools are available in market Based on JVM byte code Instrumentation Can break down response time across tiers (Web/Business/DB/External) Can pin-point method level delays and CPU consumptions Example: J2EE Diagnostics from HP Has less overhead on the system Integrates with Loadrunner Has built in light-weight profiler Start Profiling on the fly Response time breakdown across tiers Call Profile break down 9

10 Approach to Performance Analysis Start from Client side metrics NOTE - For illustration only Not a complete list Analyze Transaction failures Analyze Throughput, TPS, Hits/Sec Analyze server logs for errors Analyze the backend transactions Valid Test? NO Resolve the errors Repeat the performance tests YES Analyze Average Transaction Response time and 90% response time Within SLA? A NO YES Create Results document Sign off performance testing Stop 10

11 Approach to Performance Analysis (Contd.) A NOTE - For illustration only Not a complete list Analyze System Statistics (CPU) NO Is CPU of App Server within applicable limits? (65%) Analyze GC logs Tune JVM Profile Application YES Is CPU of DB within acceptable limits? (65%) YES NO Analyze DB performance using DB performance tools like STATSPACK Analyze JDBC Connection Pool, thread pool, EJB pool Analyze for thread contention Analyze for network issues Stop 11

12 Case Study 1 Poor JAVA coding practices Problem Definition After 20 minutes of load test, my application stops responding Analysis CPU Utilization is good (within 30%) Analysis on data collected from Tivoli Performance viewer: All the JDBC connections are under use Number of active connections to DB increases, but never comes down even after the test is over Issue Identification Developer error / Poor coding practice Connections are not closed / not returned back to the pool Sample Code with error import java.sql.*; import javax.sql.*; public ProductPK ejbcreate() { try { // initialize JNDI lookup parameters Context ctx = new InitialContext(parms); ConnectionPoolDataSource cpds = (ConnectionPoolDataSource)ctx.lookup(cpsource);... // Following parms could all come from a JNDI look-up PooledConnection pc = cpds.getpooledconnection(); Connection conn = pc.getconnection();... // Execute queries, do business logic conn.close(); } catch(exception ex){ } Connection will not be closed if exceptions are thrown before this statement. So, connection close should be written within a finally{ } block 12

13 Case Study 2 JVM Heap memory issues in Application server Problem Definition High GC Time My application responds poorly with very high response time.. Analysis CPU Utilization of the application server is very high throughout the test Out Of Memory Exceptions were thrown in the server logs Analyzing the GC Log statistics 40% heap memory was free in spite of OutOfMemory Exceptions The GC Frequency was very high (one in every 100 milli Seconds) The GC time was very high (~6 seconds for each GC) High GC Frequency Issue Identification Analyze the compaction time Heap memory Fragmentation issue Free memory is scattered around the JVM Heap Contiguous space could not be found to allocate the objects Analyze the reason for fragmentation Large Objects created by the application Pinned or immovable objects created by the application 13

14 Possible pitfalls during Performance Analysis Consider both Average & 90% response time Sometimes Average response time may be misleading Analyze the Server logs/errors during Performance tests Errors/exceptions might have failed the server transactions, but error messages not shown in the web pages Loadrunner transactions may PASS though Consider the asynchronous communication between the components (like JMS messages) and devise a test strategy Understand the middleware components in the architecture and monitor them if possible Consider the external calls made from the system and watch the call response times Always test on an isolated performance environment 14

15 Thank you 15

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