Groovy 2 Cookbook

Groovy 2 Cookbook

Overview of this book

Get up to speed with Groovy, a language for the Java Virtual Machine (JVM) that integrates features of both object-oriented and functional programming. This book will show you the powerful features of Groovy 2 applied to real-world scenarios and how the dynamic nature of the language makes it very simple to tackle problems that would otherwise require hours or days of research and implementation. Groovy 2 Cookbook contains a vast number of recipes covering many facets of today's programming landscape. From language-specific topics such as closures and metaprogramming, to more advanced applications of Groovy flexibility such as DSL and testing techniques, this book gives you quick solutions to everyday problems. The recipes in this book start from the basics of installing Groovy and running your first scripts and continue with progressively more advanced examples that will help you to take advantage of the language's amazing features. Packed with hundreds of tried-and-true Groovy recipes, Groovy 2 Cookbook includes code segments covering many specialized APIs to work with files and collections, manipulate XML, work with REST services and JSON, create asynchronous tasks, and more. But Groovy does more than just ease traditional Java development: it brings modern programming features to the Java platform like closures, duck-typing, and metaprogramming. In this new book, you'll find code examples that you can use in your projects right away along with a discussion about how and why the solution works. Focusing on what's useful and tricky, Groovy 2 Cookbook offers a wealth of useful code for all Java and Groovy programmers, not just advanced practitioners.

Groovy 2 Cookbook

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

Getting Started with Groovy

Introduction

Installing Groovy on Windows

Installing Groovy on Linux and OS X

Executing Groovy code from the command line

Using Groovy as a command-line text file editor

Using Groovy to start a server on the command line

Running Groovy with invokedynamic support

Building Groovy from source

Managing multiple Groovy installations on Linux

Using groovysh to try out Groovy commands

Starting groovyConsole to execute Groovy snippets

Configuring Groovy in Eclipse

Configuring Groovy in IntelliJ IDEA

Using Groovy Ecosystem

Introduction

Using Java classes from Groovy

Embedding Groovy into Java

Compiling Groovy code

Simplifying dependency management with Grape

Integrating Groovy into the build process using Ant

Integrating Groovy into the build process using Maven

Integrating Groovy into the build process using Gradle

Generating documentation for Groovy code

Checking Groovy code's quality with CodeNarc

Using Groovy Language Features

Introduction

Searching strings with regular expressions

Writing less verbose Java Beans with Groovy Beans

Inheriting constructors in Groovy classes

Adding the cloning functionality to Groovy Beans

Defining code as data in Groovy

Defining data structures as code in Groovy

Implementing multiple inheritance in Groovy

Adding a functionality to the existing Java/Groovy classes

Defining type-checking rules for dynamic code

Adding automatic logging to Groovy classes

Working with Files in Groovy

Introduction

Reading from a file

Reading a text file line by line

Processing every word in a text file

Writing to a file

Replacing tabs with spaces in a text file

Filtering a text file's content

Deleting a file or directory

Walking through a directory recursively

Searching for files

Changing file attributes on Windows

Reading data from a ZIP file

Reading an Excel file

Extracting data from a PDF

Working with XML in Groovy

Introduction

Reading XML using XmlSlurper

Reading XML using XmlParser

Reading XML content with namespaces

Searching in XML with GPath

Searching in XML with XPath

Constructing XML content

Modifying XML content

Sorting XML nodes

Serializing Groovy Beans to XML

Working with JSON in Groovy

Introduction

Parsing JSON messages with JsonSlurper

Constructing JSON messages with JsonBuilder

Modifying JSON messages

Validating JSON messages

Converting JSON message to XML

Converting JSON message to Groovy Bean

Using JSON to configure your scripts

Working with Databases in Groovy

Introduction

Creating a database table

Connecting to an SQL database

Querying an SQL database

Modifying data in an SQL database

Calling a stored procedure

Reading BLOB/CLOB from a database

Building a simple ORM framework

Using Groovy to access Redis

Using Groovy to access MongoDB

Using Groovy to access Apache Cassandra

Working with Web Services in Groovy

Introduction

Downloading content from the Internet

Executing an HTTP GET request

Executing an HTTP POST request

Constructing and modifying complex URLs

Issuing a REST request and parsing a response

Issuing a SOAP request and parsing a response

Consuming RSS and Atom feeds

Using basic authentication for web service security

Using OAuth for web service security

Metaprogramming and DSLs in Groovy

Introduction

Querying methods and properties

Dynamically extending classes with new methods

Overriding methods dynamically

Adding performance logging to methods

Adding a caching functionality around methods

Adding transparent imports to a script

DSL for executing commands over SSH

DSL for generating reports from logfiles

Concurrent Programming in Groovy

Introduction

Processing collections concurrently

Downloading files concurrently

Splitting a large task into smaller parallel jobs

Running tasks in parallel and asynchronously

Using actors to build message-based concurrency

Using STM to atomically update fields

Using dataflow variables for lazy evaluation

Index

Customer Reviews

5 star

4 star

3 star

2 star

1 star

Running tasks in parallel and asynchronously

One of the recurring problems that a developer has to face when working on integrating with external systems, is how to deal with sluggish response time.

Very often, a slow response time from a system, out of our control, ends up negatively affecting the user experience of a web application that feeds on the data coming from the slow system.

The first line of defense against such services is adding a caching layer. A cache helps to mitigate the effects of unreliable external systems, but it is not always the definitive cure. Depending on the business domain, a cache may have a large ratio of cache miss (occurs when a specific data is not found in the cache). Furthermore, on large systems caches can take time to warm up.

So, the second weapon in a developer arsenal against sleepy services, is using asynchronous calls. An asynchronous call is a non-blocking call to a method. A separate thread runs the method and returns the result whenever it is ready...

Groovy 2 Cookbook

Groovy 2 Cookbook

Overview of this book

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Groovy 2 Cookbook

Running tasks in parallel and asynchronously