* #496 Add pipeline module to parent pom ✨ * #496: Add main application class and test for pipeline * #496: Checkstyle format and add log messages on pipeline stages 🎨 * #496: Fill readme sections of pipeline ✨ * #496: Javadocs and checkstyle formatting 🎨 * #496: Follow PMD checks and add more explanation as block comment on App.java * #496: Apply requested PR changes by iluwatar 🎨 * #970: Replace log4j usage on commander pattern to Slf4j API 🎨 * #970: Replace log4j usage on dao pattern to Slf4j API 🎨 * #970: Replace log4j usage on data mapper pattern to Slf4j API 🎨 * #970: Remove log4j dependency on data transfer object pom 🔥 * #970: Replace log4j usage on module pattern to Slf4j API 🎨 * #970: Replace log4j usage on serverless pattern to Slf4j API 🎨 This also removes the aws log4j dependency * #970: Remove unnecessary gitignore line for log4j.xml 🔥 * #970: Remove remaining remnants of log4j 🔥 * #970: Replace System.out logging with appropriate logging methods 🎨 * #970: Replace System.out method references to Logger::info 🎨
layout, title, folder, permalink, categories, tags
layout | title | folder | permalink | categories | tags | |||
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pattern | Collection Pipeline | collection-pipeline | /patterns/collection-pipeline/ | Functional |
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Intent
Collection Pipeline introduces Function Composition and Collection Pipeline, two functional-style patterns that you can combine to iterate collections in your code. In functional programming, it's common to sequence complex operations through a series of smaller modular functions or operations. The series is called a composition of functions, or a function composition. When a collection of data flows through a function composition, it becomes a collection pipeline. Function Composition and Collection Pipeline are two design patterns frequently used in functional-style programming.
Applicability
Use the Collection Pipeline pattern when
- When you want to perform a sequence of operations where one operation's collected output is fed into the next
- When you use a lot of statements in your code
- When you use a lot of loops in your code