In Jenkins Pipeline, you can use the map step to transform data or iterate over a collection using a closure (anonymous function). The map step applies the closure to each item in a list or map and returns a new collection with the results.

Here's an example of how you can use map in a Jenkins Pipeline:

                    // Define a list of numbers

                    def numbers = [1, 2, 3, 4, 5]

                    // Use map to double each number

                    def doubledNumbers = numbers.map { it * 2 }

                    // Print the transformed list

                    println doubledNumbers

                    // Define a map of names and ages

                    // Use map to convert the map into a list of strings

                    def formattedPeople = people.collect { name, age ->

                        "$name is $age years old"

                    println formattedPeople

In the above example, the map method is used twice. First, it is used to double each number in the numbers list. Then, it is used to convert the people map into a list of formatted strings.

Note that map can also be used with the collect method, which is an alias for map. The closure used in the map step can have one or two arguments, depending on whether you're iterating over a list or map. In the case of a map, the closure can have two arguments to represent the key-value pairs.

Here is the another way to use map in a Jenkins Pipeline is by leveraging the declarative syntax and the each method. The each method is a shorthand notation for using map in a declarative Pipeline.

Here's an alternative example using the each method:

                    // Use each to double each number

                    def doubledNumbers = numbers.each { it * 2 }

                    // Use each to convert the map into a list of strings

In this alternative approach, we use the each method instead of map. The each method operates similarly to map, but it does not return a new collection. It performs the operation on each element but does not store the results.

You can run this example in a Jenkins Pipeline job as well to observe the output in the console log. Both the previous example and this alternative approach achieve the same result. Choose the one that best suits your preferences and project requirements.

In conclusion, Jenkins Pipeline provides the map step, which allows you to transform data or iterate over collections using closures. Whether you use the declarative syntax with the each method or the scripted syntax with the map or collect methods, you can effectively manipulate and process data in your Jenkins Pipelines. The map step is a powerful tool for performing operations on lists or maps and generating new collections based on your desired transformations.

In this article, we will discuss how to use the map method in Jenkins Pipeline to transform data or iterate over collections using closures in a declarative or scripted pipeline.

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