rvsunilkumar

 Lets build to build file upload with MultiPart, below is RAML RAML /testUpload:      post:        description:  file upload to sftp        headers:         f ilePath:            description:  sftp file path            type:  string        body:          multipart/form-data:            properties:              fileName:                description:  file name                type:  string  ...

 Dynamic Evaluate: The Dynamic Evaluate component/processor in Mule4 evaluates an expression to select DataWeave script , and then executes the new script to generate a result. This behavior enables you to dynamically select the script, instead of hardcoding it into the  Transform Message component based on condition. Usecase/scenario: 1. DataWeave script varies based on program id and its security id . 2. if there are 15 programs currently and may grow in future, In this scenario instead of writing if elseif condition based on program id and security id in a single dataweave script. 3. Modularize by  writing separate dwl script for each program id and security id combination. 4. Name each dataweave script such a way that program id and security id are part of it in order to resolve which script to dynamically evaluate at runtime. Example of dataweave without "Dynamic Evaluate" Component(illustration only): Example of dataweave with "Dynamic Evaluate" component: her...

 In DataWeave, the ~= operator determines if two values are similar, regardless of their type. for example: the string '123' and the number 123 are not equal, but they are recognized as similar or equal with  ~= operator. DataWeave:

 Converting String with escape characters (\), tab(\t), return (\r), new line (\n) to application/json. use read function. example

  Update the user data below. Usernames should be all lower case and the street should be   "Fiskargatan" (example from dataweave tutorial from mulesoft) Input payload { "username": "WASP", "name": "Lisbeth", "surname": "Salander", "location": { "address": { "street": "Lundagatan", "number": 9 }, "city": "Stockholm", "country": "Sweden" } } Dataweave Transformation %dw 2.0 import * from dw :: util :: Values output json --- payload update "username" with lower($) update [ "location" , "address" , field( "street" )] with "Fiskargatan" output { "username" : "wasp" , "name" : "Lisbeth" , "surname" : "Salander" , "location" : { "address...