Mule soft meetup_virtual_ charlotte_2020_final1
- 1. All contents © MuleSoft Inc. Welcome To MuleSoftMeetup 1
- 2. All contents © MuleSoft Inc. Welcome To MuleSoftMeetup 2 MuleSoft Meetup Virtual 17th SeP 2020
- 3. All contents © MuleSoft Inc. Agenda 3 6:00 PM Welcome & Introductions 6:30 PM Dataweave2.0 by Avinash Vaddi 7:15 PM Queuing with Kafka by Tom Loughran, Apisero 8:00 PM Q/A, Trivia & Event Close
- 4. All contents © MuleSoft Inc. Announcements Hi everyone, Thanks for joining our first virtual meetup today. Today we are going to have talks about Dataweave 2.0 and Queueing with KAFKA. At the end, we will have Trivia session, where we will ask some random questions related to the topics which we discussed today. First 3 winners will get a free training and certification voucher from MuleSoft. Do not miss the opportunity…! Without further ado, let’s get started.
- 5. All contents © MuleSoft Inc. DataWeave 2.0
- 6. All contents © MuleSoft Inc. What is DataWeave? • DataWeave is a programming language designed for transforming data. • It is MuleSoft’s primary language for data transformation, as well as the expression language used to configure components and connectors.
- 7. All contents © MuleSoft Inc. • DataWeave files are categorized into two main sections: 1. Header -> Which defined directives 2. Body ----> Which describes output structure 7 When you include a header, the header appears above the body separated by a delimiter consisting of three dashes: ---. Here is an example of a DataWeave file with an output directive declared in the header, followed by a DataWeave expression to create a user object that contains two child key/value pairs: Example: Simple DataWeave Script %dw 2.0 output application/xml --- { user: { firstName: payload.user_firstname, lastName: payload.user_lastName } }
- 8. All contents © MuleSoft Inc. • DataWeave supports DataSense i.e., metadata from connectors, schemas, and sample documents is available to more easily design transformations. • It also provides content assist while you are coding and auto generates lines of code from actions performed on UI. 8 e.g. If we drag and drop element from input section onto another element in output section, then corresponding code is automatically generated. If you add the Transform Message component in your Mule flow, its Properties view looks like this:
- 9. All contents © MuleSoft Inc. 9 The Graphical UI The Graphical UI exposes the known input and output structures. You can easily click and drag one field onto another to map these structures. You can do following through the UI: 1.Drag an element from the input structure over to another on the output structure. 2.This casts a line that joins them and also generates necessary lines of DataWeave code that describes this mapping.
- 10. All contents © MuleSoft Inc. Migrating from DataWeave version 1 to 2 DataWeave 1.0 DataWeave 2.0 %dw 1.0 %dw 2.0 %output output %var var %function fun %namespace ns DataWeave Header Content Apart from syntax changes, there are many new features in DataWeave 2.0. • Language simplifications. Everything is now a function. • DataWeave scripts can now be packaged and reused, via the new imports and modules features. • Support for multi-line comments. • Support for calling static Java functions directly from DataWeave.
- 11. All contents © MuleSoft Inc. When Otherwise The when otherwise statement is replaced by if else, for example: Mule 3 Example: DataWeave 1 { orderStatus: "complete" when flowVars.purchaseOrderStatus == "C" otherwise "incomplete" } Mule 4 Example: DataWeave 2 { orderStatus: if(vars.purchaseOrderStatus == "C") "complete" else "incomplete" } Pattern Matcher: For pattern matching now you can use case and else keyword instead of default. Mule 3 Example: DataWeave 1'world' match { :string -> true, default -> false } Mule 4 Example: DataWeave 2'world' match { case is String -> true else -> false }
- 12. All contents © MuleSoft Inc. 12 Removing Coercion: DataWeave 2.0 has removed coercion and a new selector & is presented to select key-value pairs. Mule 3 Example: DataWeave 1%var payload = {a: 1, b: 2} --- payload.a as: object Mule 4 Example: DataWeave 2var payload = {a: 1, b:2} --- payload.&a} Type References The : was removed from the type references and are now all camel case, so :string is now String
- 13. All contents © MuleSoft Inc. DataWeave 1.0 payload.foo as :string DataWeave 2.0 payload.foo as String Type Names Operators Are Now Functions DataWeave 1 sizeOf payload filter $.age > 30 DataWeave 2 - Function Syntax sizeOf(filter(payload, (value) → value.age > 30))) DataWeave 2 - Shortcut Syntax sizeOf(payload filter $.age > 30)
- 14. All contents © MuleSoft Inc. XML Format The default for the reader property nullValueOn is empty for DataWeave 2.0. For DataWeave 1.0 (which is compatible with Mule 3.x), the value is none, for example: DataWeave Script %dw 1.0 %output application/xml nullValueOn="none" --- payload Input <book> <name></name> </book> Output <book/>
- 15. All contents © MuleSoft Inc. Scripting 15 Concatenate Two Strings into a Single String Begin with a simple DataWeave script that concatenates two strings ("hello" and "World") together into a single string ("helloWorld").
- 16. All contents © MuleSoft Inc. • Transform JSON Input to XML Output 16 Many integrations require transformations from one format to another. This procedure uses the output directive to produce XML output from JSON input.
- 17. All contents © MuleSoft Inc. Defining and Using a DataWeave Variable as Input %dw 2.0 var myJson = { "hello" : "world" } output application/json --- myJson Output: { "hello": "world" } 17
- 18. All contents © MuleSoft Inc. 18 Use a DataWeave Function in a DataWeave Variable
- 19. All contents © MuleSoft Inc. • Map Elements from an Array into an Object 19 Output:
- 20. All contents © MuleSoft Inc. Functions In DataWeave 2.0, functions are categorized into different modules: • Core (dw::Core) • Arrays (dw::core::Arrays) • Binaries (dw::core::Binaries) • Encryption (dw::Crypto) • Diff (dw::util::Diff) • Objects (dw::core::Objects) • Runtime (dw::Runtime) • Strings (dw::core::Strings) • System (dw::System) • URL (dw::core::URL) 20
- 21. All contents © MuleSoft Inc. Functions (Cont..) 21 Functions defined in Core (dw::Core) module are imported automatically into your DataWeave scripts. To use other modules, we need to import them by adding the import directive to the head of DataWeave script, for example: import dw::core::Strings import dasherize, underscore from dw::core::Strings import * from dw::core::Strings
- 22. All contents © MuleSoft Inc. Functions to work with Arrays 22
- 23. All contents © MuleSoft Inc. DataWeave playground • Use this address in browser to access the dataweave playground in browser: 34.205.75.56:8081 • Using docker: https://www.prostdev.com/post/how-to-run-locally- the-dataweave-playground-docker- image?fbclid=IwAR2yOGsGLyATJIWxJvZfidHVs5rt1wLo8zN1_puAYwD RoLnYohhTqFlU_xw 23
- 24. All contents © MuleSoft Inc.
- 25. All contents © MuleSoft Inc. Q/A ? 25
- 26. All contents © MuleSoft Inc. Trivia 1 When you flatten the payload it returns object in Dataweave 2.0? a) True b) False 26
- 27. All contents © MuleSoft Inc. Trivia 2 What is the use of Map object in Dataweave 2.0 ? a) Used to iterate over array. b) Used to iterate over object and return object. c) Turns nested into simple array. d) None of the above. 27
- 28. All contents © MuleSoft Inc. Trivia 3 Can we reuse Dataweave scripts, if so how to reuse them in in Dataweave 2.0? a) Dataweave scripts can not be re used in dataweave 2.0. b) It can be reused using lookup functions c) It can be reused using imports and module features d) None of the above 28
- 29. All contents © MuleSoft Inc. Trivia 4 How to define a function in dataweave 2.0? a) fun. b) %function c) %fun d) None of the above 29
- 30. All contents © MuleSoft Inc. Trivia 5 Why KAFKA is so fast? Please select the wrong answer from below options a) Process the batch data in Chunks. b) Zero Copy, calls the OS kernel direct c) Supports Random Disk Access d) Supports horizontal scaling 30
- 31. All contents © MuleSoft Inc. Trivia 6 KAFKA brokers can maintain the cluster state a) True. b) False 31
- 32. All contents © MuleSoft Inc. Trivia 7 As you know KAFKA is widely used in many social media websites. Please pick from below one, which is not using KAFKA? a) Tinder. b) Twitter c) TikTok d) Facebook 32
- 33. All contents © MuleSoft Inc. Trivia 8 What is the replacement of the when and otherwise in dataweave 2.0? 33
- 34. Explore our new version MuleSoft Documentation
- 35. All contents © MuleSoft Inc. Find the answers you need, fast. 35https://docs.mulesoft.com/
- 36. The best place to ask questions and help others. MuleSoft Help Center
- 37. All contents © MuleSoft Inc. 15,000+ members ready to help. 37 https://help.mulesoft.com/ • Check out the “MuleSoft Training” category for all training and certification- related questions
- 38. All contents © MuleSoft Inc. Join Charlotte MuleSoft Discussion Group. 38 https://help.mulesoft.com/s/ group/0F92T0000004odaSAA /charlotte-meetups • Check out the “Charlotte MuleSoft Discussion Group.” category for all your questions which you want to discuss within the Charlotte Group.
- 39. All contents © MuleSoft Inc. Take a stand ! 39 • Nominate yourself for the next meetup speaker and suggest a topic as well.
- 40. All contents © MuleSoft Inc. What’s next 40 • Feedback: – Contact your organizer Subhash Patel, Aravind Ramadugu or Savannah Williamson to suggest topics. – Contact MuleSoft at meetup@mulesoft.com for ways to improve the program.
- 41. All contents © MuleSoft Inc. Please Tweet 41 Nominate yourself for the next meetup speaker and suggest a topic as well. Tweet your pictures with the hashtag #MuleSoftMeetup
- 42. Thank you