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JMeter Cookbook

JMeter Cookbook

By : Erinle
3.6 (8)
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JMeter Cookbook

JMeter Cookbook

3.6 (8)
By: Erinle

Overview of this book

This book is great for you if you are a developer, quality assurance engineer, tester, or test manager who is looking to get a firmer grasp of elementary, deep, and advanced testing concepts using Apache JMeter. It’s assumed you have access to a computer and an Internet connection. No prior testing or programming experience is required, but would be helpful.
Table of Contents (11 chapters)
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Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. JMeter Fundamentals
1. JMeter Fundamentals
Introduction
Executing a test script
Recording a script via HTTP(S) Test Script Recorder
Recording scripts via the Chrome browser extension
Converting HTTP web archives (HAR) to JMeter test plans
Viewing and analyzing test results
Feeding data into a script
Using timers
Managing HTTP user sessions
Testing Single Page Applications (SPAs)
Testing AJAX-centric applications
2
2. Handling Responses
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2. Handling Responses
Introduction
Using Regular Expression Extractor
Using Regular Expression Tester
Using CSS/jQuery Extractor
Using XPath Extractor
Dealing with file downloads
Handling XML responses
Handling JSON responses
Handling HTML responses
Using Response Assertion
Using Duration Assertion
Uploading files with your scripts
3
3. Building Robust Test Plans with Controllers
3. Building Robust Test Plans with Controllers
Introduction
Using Transaction Controller in test plans
Using Loop Controller in test plans
Leveraging ForEach Controller in test plans
Using Interleave and Random Controller in test plans
Using Runtime Controller in test plans
4
4. Testing Services
4. Testing Services
Introduction
Testing REST web services
Testing SOAP web services
Testing FTP services
Testing relational databases
Testing NoSQL databases
Testing JMS services
5
5. Diving into Distributed Testing
5. Diving into Distributed Testing
Introduction
Testing applications with JMeter's master-slave setup
Testing internal applications using JMeter and Vagrant
Testing external facing applications using JMeter, Vagrant, and AWS
Testing external facing applications using Flood.IO
Testing external facing applications using BlazeMeter
6
6. Extending JMeter
6. Extending JMeter
Introduction
Using REST Sampler
Using Ultimate Thread Group
Using Throughput Shaping Timer
Using Console Status Logger
Using Dummy Sampler
Developing custom JMeter plugins
Testing WebSocket-enabled applications
7
7. Building, Debugging, and Analyzing the Results of Test Plans
7. Building, Debugging, and Analyzing the Results of Test Plans
Introduction
Using the View Results Tree listener
Using the Aggregate Report listener
Debugging with Debug Sampler
Using Constant Throughput Timer
Using the JSR223 postprocessor
Analyzing Response Times Over Time
Analyzing transactions per second
Using User Defined Variables (UDV)
8
8. Beyond the Basics
8. Beyond the Basics
Introduction
Continuous Integration with JMeter
Testing with different bandwidths
Using the HTTP Cache Manager component
Using script languages within test plans
Writing Test scripts through Ruby DSL
Understanding JMeter properties
Monitoring servers while executing tests (using VisualVM)
Monitoring servers while executing tests (using YourKit Profiler)
Monitoring servers while executing tests (using New Relic)
Performance tips to scale JMeter
9
A. Installing the Supporting Software Needed for this Book
A. Installing the Supporting Software Needed for this Book
Introduction
Installing JMeter
Installing Java Development Kit (JDK)
Installing JMeter plugins
Installing Vagrant
Installing VirtualBox
Installing Maven
Installing Git
Obtaining AWS keys for EC2
10
Index
Index

Introduction

When testing applications, it is important to know how to handle the responses from the several requests that constitute the test script. In this chapter, we will tackle how to deal with various server responses for applications under test. These include handling XML, JSON, and HTML responses. It's even more important to know how to extract information contained in those responses, as you might need them to feed data dynamically to your script down the execution chain. Preprocessors and postprocessors, as their names imply, are applied before and after samplers respectively to extract information from server responses, which can then be stored and used later down the execution chain. In the later recipes, we cover how to handle file uploads with JMeter and assert the correctness of such responses.

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