Top Operators in Dataweave in Mule | Dataweave Operators
1) Map Object
Similar to Map, but instead of processing only the values of an object, it processes both keys and values as a tuple. Also instead of returning an array with the results of processing these values through the lambda, it returns an object, which consists of a list of the key:value pairs that result from processing both key and value of the object through the lambda.
The lambda is invoked with two parameters: key and the value. If these parameters are not named, the key is defined by default as $$ and the value as $.
Dataweave code :
%dw 1.0
%output application/json
%var conversionRate=22
---
priceList: payload.prices mapObject (
'$$':{
rupees: $,
localCurrency: $ * conversionRate
}
)
Input :
<prices>
<delta>10</delta>
<beta>20</beta>
<alpha>50</alpha>
</prices>
Output :
{
"priceList": {
"delta": {
"rupees": "10",
"localCurrency": 220
},
"beta": {
"rupees": "20",
"localCurrency": 440
},
"alpha": {
"rupees": "50",
"localCurrency": 1100
}
}
}
2) Pluck
Pluck is useful for mapping an object into an array. Pluck is an alternate mapping mechanism to mapObject,but instead of returning an object, it returns an array, which may be built from either the values or the keys in the object.
Dataweave code :
%dw 1.0
%output application/json
---
price: {
keys: payload.prices pluck $$,
values: payload.prices pluck $
}
Input :
<prices>
<delta>10</delta>
<beta>20</beta>
<alpha>50</alpha>
</prices>
Output :
{
"price": {
"keys": [
"delta",
"beta",
"alpha"
],
"values": [
"10",
"20",
"50"
]
}
}
3) Filter
Using Filter on an Array
It filters the array on the basis of $(value)
Dataweave code :
%dw 1.0
%output application/json
---
{
biggerThanThree: [0, 1, 2, 3, 4, 5] filter $ > 3
}
Output :
{
"biggerThanThree": [4,5]
}
Using Filter on an Object
Returns an object with the key:value pairs that pass the acceptance criteria defined in the lambda. If these parameters are not named, the index is defined by default as $$ and the value as $.
Dataweave code :
%dw 1.0
%output application/xml
---
filtered: {
aa: "a", bb: "b", cc: "c", dd: "d"
} filter $ == "d" (1)
1 Filters the all key:value pairs with value "d" ⇒ {dd:d}
Output
<?xml version="1.0" encoding="UTF-8"?>
<filtered>
<dd>d</dd>
</filtered>
4) Remove
Using Remove on an Array
When running it on an array, it returns another array where the specified indexes are removed.
Dataweave code :
%dw 1.0
%output application/json
---
{
value: ["x", "y", "z"] - 1
}
Output
{
"value": [x, z]
}
Using Remove on an Object
When running it on an object, it returns another object where the specified keys are removed.
Dataweave code :
%dw 1.0
%output application/json
---
myObject: {aa: "a", bb: "b"} - "aa"
Output
{
"myObject": {
"bb": "b"
}
}
Remove by Matching Key and Value
Works just like remove on objects, but only removes an element when there is a match of not just the key but of the key + value pair . It returns another object where the specified keys are removed.
Dataweave code :
%dw 1.0
%output application/json
---
myObject: {aa: "a", aa:"b", bb: "c"} -- { aa:"a"}
Output
{
"myObject": {
"aa": "b",
"bb": "c"
}
}
5) AND
The expression and (in lower case) can be used to link multiple conditions, its use means that all of the linked conditions must evaluate to true for the expression as a whole to evaluate to true.
Dataweave code :
%dw 1.0
%output application/json
---
{
Eligibility: "eligible for vote"
} when payload.age > 18 and payload.nationality == "Indian"
otherwise
{
Eligibility: "Not eligible"
}
Input :
{
"age" : 23,
"nationality" : "Indian"
}
Output :
{
"Eligibility": "eligible for vote"
}
6) OR
The expression or (in lowercase) can be used to link multiple conditions. Its use means that either one or all of the linked conditions must evaluate to true for the expression as a whole to evaluate to true. This example combines the usage of OR with the when and otherwise expressions.
Dataweave code :
%dw 1.0
%output application/json
---
{
IndianCities: "city of india"
} when payload.city == "Delhi" or payload.city == "Mumbai"
otherwise
{
IndianCities: "Not an indian city"
}
Input :
{
"city" : "Mumbai"
}
Output :
{
"IndianCities": "Not an indian city"
}
7) IS
Evaluates if a condition validates to true and returns a boolean value. Conditions may include and and or operators.
Dataweave code :
%dw 1.0
%output application/json
---
ROOT: payload.city mapObject (
city:{
IndianCity: $ is :string
}
)
Input :
{
"city" : "Mumbai"
}
Output :
{
"ROOT": {
"city": {
"IndianCity": true
}
}
}
8) Concat
The concat operator is defined using ++ sign. You must have spaces on both sides of them.
Using Concat on an Array
When using arrays, it returns the resulting array of concatenating two existing arrays.
Dataweave code :
%dw 1.0
%output application/json
---
{
c: [0, 1, 2] ++ [6, 7, 8]
}
Output
{
"c": [0, 1, 2, 6, 7, 8]
}
Using Concat on a String
Strings are treated as arrays of characters, so the operation works just the same with strings.
Dataweave code :
%dw 1.0
%output application/json
---
{
name: "Mule" ++ "Soft"
}
Output
{
"name": MuleSoft
}
Using Concat on an Object
Returns the resulting object of concatenating two existing objects.
Dataweave code :
%dw 1.0
%output application/xml
---
concat: {aa: "a"} ++ {cc: "c"}
Output
<?xml version="1.0" encoding="UTF-8"?>
<concat>
<aa>a</aa>
<cc>c</cc>
</concat>
9) Contains
Evaluates if an array or list contains in at least one of its indexes a value that validates to true and returns a boolean value. You can search for a literal value, or match a regex too.
Using Contains on an Array
You can evaluate if any value in an array matches a given condition:
Dataweave code :
%dw 1.0
%output application/json
---
{
ContainsCity: payload.city contains "Delhi"
}
Input :
[{
"city" : "Mumbai"
},
{
"city" : "Delhi"
},
{
"city" : "Pune"
}]
Output :
{
"ContainsCity": true
}
Using Contains on a String
You can also use contains to evaluate a substring from a larger string:
Dataweave code :
%dw 1.0
%output application/json
---
{
ContainsCity: payload.city contains "Mu"
}
Input :
{
"city" : "Mumbai"
}
Output :
{
"ContainsCity": true
}
10) Type Of
Returns the type of a provided element (eg: '":string"' , '":number"' )
Dataweave code :
%dw 1.0
%output application/json
---
isString: typeOf payload.mystring
Input:
{
"mystring":"Mumbai"
}
Output:
{
"isString": ":string"
}
11) Flatten
If you have an array of arrays, this function can flatten it into a single simple array.
Dataweave code :
%dw 1.0
%output application/json
---
flatten payload
Input:
[
[3,5],
[9,5],
[100,2.5]
]
Output:
[
3,
5,
9,
5,
100,
2.5
]
12) Size Of
Returns the number of elements in an array (or anything that can be converted to an array such as a string).
Dataweave code :
%dw 1.0
%output application/json
---
{
arraySize: sizeOf [7,8,9],
textSize: sizeOf "Himanshu",
objectSize: sizeOf {a:1,b:2}
}
Output
{
"arraySize": 3,
"textSize": 8,
"objectSize": 2
}
13) Group By
Partitions an array into a Object that contains Arrays, according to the discriminator lambda you define. The lambda is invoked with two parameters: index and the value. If these parameters are not named, the index is defined by default as $$ and the value as $.
Dataweave code :
%dw 1.0
%output application/json
---
"language": payload.info groupBy $.city
Input :
{
"info" : [{
"name" : "Kapil",
"city" : "Mumbai"
},
{ "name" : "Satish",
"city" : "Delhi"
},
{ "name" : "Mahesh",
"city" : "Mumbai"
}]
}
Output :
{
"language": {
"Mumbai": [
{
"name": "Kapil",
"city": "Mumbai"
},
{
"name": "Mahesh",
"city": "Mumbai"
}
],
"Delhi": [
{
"name": "Satish",
"city": "Delhi"
}
]
}
}
14) Distinct By
Returns only unique values from an array that may have duplicates. The lambda is invoked with two parameters: index and value. If these parameters are not defined, the index is defined by default as $$ and the value as $.
Dataweave code :
%dw 1.0
%output application/json
---
"language": payload.info distinctBy $.city
Input :
{
"info" : [{
"name" : "Kapil",
"city" : "Mumbai"
},
{ "name" : "Satish",
"city" : "Delhi"
},
{ "name" : "Mahesh",
"city" : "Mumbai"
}]
}
Output :
{
"language": [
{
"name": "Kapil",
"city": "Mumbai"
},
{
"name": "Satish",
"city": "Delhi"
}
]
}
Some operators are shown below in dataweave code :
%dw 1.0
%output application/json
---
{
aa: [0, 1, 2] + 5, //arraypush
a: [0, 1, 1, 2] - 1, //remove from array
b: [{a: "a"}] - {a: "a"}, //remove an object
a: [0, 1, 1, 2] -- [1,2], //removes matching from array
a: avg [1..500], //average of array
b: avg [1, 2, 9], //avaerage of array
aa: ["a","b","c"] joinBy "-", //join by -
split: "a-b-c" splitBy "-", //splity by
orderByLetter: [{ letter: "d" }, { letter: "e" }, { letter: "c" }, { letter: "a" }, { letter: "b" }] orderBy $.letter, // order by
replace: "admin123" replace /(\d+)/ with "ID", //replace a string with another string
matches: "admin123" matches /(\d+)/, //matches a string with given string
"trim": trim " my long text ", //trim a string
"substring": "abcdefg"[0..4], //substring
absolute: abs 2.5
}
Some string operators like starts with, ends with,upper,lower,etc are also used. Math operators like min,max,avg,ceil,etc are also available that you can find on mulesoft documentation page.
