Mule soft meetup_virtual_ charlotte_2020_final1

All contents © MuleSoft Inc.
Welcome To MuleSoftMeetup
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Welcome To MuleSoftMeetup
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MuleSoft Meetup Virtual
17th SeP 2020

Agenda
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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

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.

DataWeave 2.0

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.

• DataWeave files are categorized into two main sections:
1. Header -> Which defined directives
2. Body ----> Which describes output structure
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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
}
}

• 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.
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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:

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.

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.

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 }

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

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)

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/>

Scripting
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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").

• Transform JSON Input to XML Output
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Many integrations require transformations from one format to another. This procedure uses the output directive to produce XML output from JSON input.

Defining and Using a DataWeave Variable as Input
%dw 2.0
var myJson = { "hello" : "world" }
output application/json
---
myJson
Output:
{
"hello": "world"
}
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Use a DataWeave Function in a DataWeave Variable

• Map Elements from an Array into an Object
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Output:

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)
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Functions (Cont..)
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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

Functions to work with Arrays
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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
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Q/A ?
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Trivia 1
When you flatten the payload it returns object in Dataweave 2.0?
a) True
b) False
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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.
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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
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Trivia 4
How to define a function in dataweave 2.0?
a) fun.
b) %function
c) %fun
d) None of the above
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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
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Trivia 6
KAFKA brokers can maintain the cluster state
a) True.
b) False
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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
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Trivia 8
What is the replacement of the when and otherwise in dataweave 2.0?
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Explore our new version
MuleSoft Documentation

Find the answers you need, fast.
35https://docs.mulesoft.com/

The best place to ask questions and help others.
MuleSoft Help Center

15,000+ members ready to help.
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https://help.mulesoft.com/
• Check out the “MuleSoft
Training” category for all
training and certification-
related questions

Join Charlotte MuleSoft Discussion Group.
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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.

Take a stand !
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• Nominate yourself for the next meetup
speaker and suggest a topic as well.

What’s next
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• 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.

Please Tweet
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Nominate yourself for the next meetup speaker and suggest a topic as well.
Tweet your pictures with the hashtag #MuleSoftMeetup

Mule soft meetup_virtual_ charlotte_2020_final1

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