When two values have different types, the equality operator forces them to have the same type.

Use Case :

The equality operator is beneficial when we need to compare two values of different types.

The ~= operator evaluates if two values are similar, regardless of their type.

Example :

The string “12345” and the number 12345 are not the same type but they are recognized as similar values.

At the time of comparison, the converse == operator verifies both the type and value.

Code:

DataWeave: equality operator (~=)

Case 1:

Comparing string with boolean:

Case 2 :

Comparing string with number:

In choice-router and transform messages, this is most helpful when making decisions.

Thank you for taking the time to read this post and I hope you found it useful. If you have any questions or topic recommendations, feel free to comment below.

DataWeave : Equality operator (~=) was originally published in Another Integration Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.

GroupBy():

The groupBy function is useful for grouping together items based on the value which we define.

The groupBy signature varies depending on the first parameter ((input) whether it’s an Array, String, or Object).

1. input: Array

groupBy(Array<T>, ((T, Number) -> R)): Object<(R), Array<T>>

2. input: String

groupBy(String, ((String, Number) -> R)): Object<(R), String>

3. input: Object

groupBy(Object<(K), T>, ((V, K) -> R)): Object<(R), Object<(K), V>>

Note : groupBy does not return an Array or any of the given input values. It always returns an Object.

Array as Input

1. Example:

similar syntax using $

In above image we are applying groupBy function on an array.

condition: group the values based on the mod function.

2.Example:

similar syntax using $,$$

In the above image we are applying groupBy function on Array of json object

and the we are grouping the data based on ids.

String as Input

1. Example:

similar syntax using $,$$

the logic passed to groupBy takes in a character from the input String and the index of that character. It returns a value that is used to determine the group to which the character belongs. Characters that return the same value belong to the same group. Here’s an example that groups letters based on whether they’re upper or not.

Object as Input

1. Example:

The logic passed to groupBy takes in a value from the input Object and the key of that value. It returns a value that is used to determine the group to which the key/value pair belongs.

Here’s an example that groups key/value pairs based on their value. The Key represents an states (Chicago, Delhi, etc.) and the Value represents their Countries (India, US, Japan and Russia).

similar syntax using $

Thank you for taking out time to read the above post. Hope you found it useful. In case of any questions, feel free to comment below. Also, if you are keen on knowing about a specific topic, happy to explore your recommendations as well.

#mulesoft #dataweave #dw #anypointstudio #mule #muleEsb #groupBy#groupBy()

DataWeave : filterObject()

filterObject () :

filterObject always works on Objects. It Iterates over key-value pairs in an object and applies a conditional expression that returns only matching key value pairs, filtering out the unmatched key value pairs.

The conditional expression must return true or false. If the expression returns true for a key, value, or index of an object, the object gets in the output.

If it returns false for any of them, the object gets filtered out of the output. If there are no matches, the output array will be empty.

Note : Whenever we are applying filterObject function other than the Objects and null, we get the exception

filterObject (Object, (Value,Key,index) -> Object): Object

Value(default $): it represents the value part of a key-value pair in an object

Example :

In the below image we are applying filterObject

condition: filtering key-value pairs with values starts with “N” character

with default syntax :

Key(default $$) : it represents the key part of a key-value pair in an object

Example :

with default syntax :

Index(default $$$) : it represents the Index part of a key-value pair in an object

Example :

with default syntax :

When input is null:

filterObject gives null as output when input is null

Example:

Exception case:

Here we got an error while applying filterObject on an Array

Thank you for taking out time to read the above post. Hope you found it useful. In case of any questions, feel free to comment below. Also, if you are keen on knowing about a specific topic, happy to explore your recommendations as well.

#mulesoft #dataweave #dw #anypointstudio #mule #muleEsb #filterObject #filterObject ()

Originally published at https://dw.hashnode.dev.

mapObject() :

It transforms an Object to a new Object. mapObject is used when we want to change the keys and/or values on an Object to be a different object.

It does this by iterating over each key/value pair in the object and applying a transformation to each key and value. The result of the transformation is collected together and output as an object.

Note : Whenever we are applying mapObject function other than the Objects, we get the exception

mapObject(Object, (Value,Key,index) -> Object): Object

Value(default $): it represents the value part of a key-value pair in an object

Example :

In the above image James Peter belongs to Value(default $) part

Example :

Key(default $$) : it represents the key part of a key-value pair in an object Example :

Example :

Example :

Exception case:

In the above image name belongs to Key(default $$) part

Thank you for taking out time to read the above post. Hope you found it useful. In case of any questions, feel free to comment below. Also, if you are keen on knowing about a specific topic, happy to explore your recommendations as well.

index(default $$$) : it represents the position part of a key-value pair in an object

Here we got an error while applying mapObject on an Array

#mulesoft #dataweave #dw #anypointstudio #mule #muleEsb #mapObject#mapObject()

map() :

The map is a function in Dataweave which iterates over the items in an array and outputs them into a new array.

map(item,index) :

item (default $): it represents the element in the input array list.

index (default $$) : it represents the position of the element the input array list.

map function is only applicable for an arrays

It basically accepts input as a list of items in an array and transforms the items in the array in order to form a new array as an output.

Example 1:

multiplying item with it’s index:

Example 2:

iterating with default symbols ($,$$)

ex1 :

ex2:

Example 3 :

transforming employee data:
condition 1: employee id as key.
condition 2: value is combination of first and last name.

Note : Whenever we are applying map function other than an arrays we get the exception

Example 4:

Thank you for taking out time to read the above post. Hope you found it useful. In case of any questions, feel free to comment below. Also, if you are keen on knowing about a specific topic, happy to explore your recommendations as well.

#mulesoft #dataweave #dw #anypointstudio #mule #muleEsb #map#map()

Originally published at https://dw.hashnode.dev.