Introduction to mule application
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Mule applications are composed of single or multiple connected flows that accept messages from sources like files or APIs. The messages then pass through various processors that transform, enrich, filter, and process the data. Mule applications are written in XML and deployed to a Mule runtime server, where they handle concurrent requests. The runtime enforces API policies and acts as a message bus between applications. Developers use Anypoint Studio to visually create, test, and deploy Mule applications to on-premise or cloud environments using built-in connectors. Mule APIs can also be designed with RAML and published through Anypoint for public or private use.
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Mule filters evaluate Mule messages and can route them through a flow based on certain conditions. There are several types of filters in Mule including custom filters that use user-implemented logic, exception filters that route on exception type, logic filters that apply AND, OR, and NOT operations to nested filters, and message filters used by message processors to determine whether to handle incoming messages. Mule filters perform Boolean operations to filter messages and facilitate message routing.
Mulesoft anypoint batch processing
Mule allows processing of messages in batches through batch jobs. A batch job splits incoming messages into individual records, processes each record using message processors, and reports results. Batch processing is useful for streaming data integration, synchronizing data between applications like Salesforce and Netsuite, ETL processes, and handling large API data. A batch job exists outside flows and contains steps to sequentially process records through variables and MEL expressions.
Basics of Mulesoft Anypoint connector
The Anypoint Connector DevKit is a tool that makes building reusable connectors easier. It uses annotations and code generation to handle boilerplate code needed to integrate connectors with Mule runtime and Anypoint Studio. Connectors allow communication between external resources and Mule applications, transforming data between the two. DevKit abstracts this communication and generates user interfaces, simplifying connector usage. Well-built connectors make app development simpler by handling tasks like pagination and session handling.
Transformers in Mulesoft Anypoint
Transformers in Mule Studio prepare messages for processing by altering message headers or payloads. Standard transformers provided handle common data transformations with minimal configuration, and transformers can be chained together by connecting the output of one as the input of the next. Custom transformers allow coding Java classes for transformations not supported by pre-packaged options.
MQ CONNECTOR IN ANYPOINT STUDIO
The document describes how to install and configure the Anypoint MQ connector in Anypoint Studio. It is a 9 step process where you first install the connector from the Anypoint Exchange. You then create a client app in Anypoint Platform to get a client ID and secret. Finally, in Studio you create a new Mule project, drag the HTTP and MQ connectors onto the canvas, and configure the MQ connector using the client ID and secret from the client app along with specifying an operation like publish or consume and the destination queue or exchange.
Mulesoft Cloudhub connector
The document discusses the CloudHub connector for MuleSoft, which allows interaction with CloudHub from within Mule applications. It provides operations like starting, stopping, deploying, and updating Mule applications, as well as sending notifications from Mule apps to CloudHub. The connector is installed from Anypoint Exchange and then used in Mule apps by selecting operations like creating notifications, listing applications, updating applications, and retrieving application logs.
Mulesoft Munit Testing
MUnit is a testing framework for Mulesoft that allows automated testing of mule integrations and APIs. It has many features like creating tests via Mule or Java code, mocking processors and endpoints, debugging tests, and viewing coverage reports. Tests are created by right clicking a flow and selecting "Create new MUnit". To run tests, right click the MUnit test flow and select "Run MUnit suite" which will display the results.
Mulesfot scopes
Scopes in Mule allow grouping of message processors to function as a single unit. Scopes include async, cache, foreach, and transactional scopes. Async scopes execute message processors asynchronously in parallel while cache scopes store response events from message processors. Foreach scopes split message collections into individual messages for processing.
RAML BASED REST API with Mulesoft anypoint
This document outlines steps to design a REST API using RAML and Anypoint API Manager. It describes how RAML is used to define REST APIs in a standardized, reusable, and readable format. It then provides steps to create an API in Anypoint API Manager, including adding the API, writing the RAML specification, and testing the API.
Mulesoft Aggregator and Spiltter
Splitter is used to split Mule messages into separate fragments which are then sent individually to the next processor in the flow. A Collection Aggregator can then reassemble the original message by correlating the fragments using identifiers added during the split. When testing an application that splits and aggregates a message, Postman can be used to post sample input which is split into multiple files and later reassembled into a single payload by the Collection Aggregator.
Security in mulesoft
MuleSoft's Anypoint platform provides several security components for APIs built with Mule, including Enterprise Security, API Security Manager, and Virtual Private Cloud. It also includes security modules like Mule Secure Token Service and supports authentication and authorization standards like SAML, OAuth 2.0, WS-Security, and PingFederate. APIs should apply the right authentication, authorization, and security at different layers - inbound security at the experience layer, fine-grained security at the process layer, and outbound security at the system connectivity layer. The best practices for securing APIs in Anypoint include using HTTPS for basic authentication and OAuth 2.0 for authorization.
Mulesoft Raml APIs
1. RAML is a new open specification for describing RESTful APIs using YAML that aims to be cleaner and more structured than existing documentation formats.
2. RAML uses a hierarchical structure and inheritance to define API resources, operations, parameters, headers and responses in a way that closely matches the structure of REST APIs.
3. The RAML specification is still evolving and there is growing tooling and libraries to support its use in designing, documenting, testing and implementing RESTful APIs.
Howtouseforeachcomponent
The document discusses how to use the For Each component in Mule applications. The For Each component splits a collection into elements and processes them iteratively through embedded processors, then returns the original message. An example Mule flow is provided that uses a For Each component to connect to a database, execute a SELECT query, and print each result using For Each.
Mulesoftchampionsprogram
The MuleSoft Champions Program is designed to build a community of expert Mule professionals by offering challenges to complete for points and badges. Members can work through various difficulty levels of challenges that involve blog posts, videos and other resources to boost their Mule knowledge. Earned points can be redeemed for rewards from the reward store or used to maintain one's standing on the leaderboard. The program allows members to learn in a competitive way while connecting with other Mule developers worldwide.
Mulesoftmelbasics 150904031330-lva1-app6891
The document discusses different data formats like XML, JSON, binary, and CSV that applications can use. It also discusses raw and structured data, providing examples like strings, streams, byte arrays, maps, Java objects, XML and JSON. The document introduces Mule Expression Language (MEL) basics and how to access message properties using inboundProperties and outboundProperties maps. It outlines the next session topic on Mule variables and provides a reference.
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Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
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Fundamentals of Programming and Language Processors
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Introduction to mule application
- 1. Introducing Mule Application & API
- 2. Mule Applications Mule applications can consists of single flow, multiple flow and multiple flow connected together. Typical Mule flow consists of Message Source and Message Processor. Message Source accept the message from external source and triggers the flow. Message Processor includes Transform, Enrich, Filters and process the message.
- 3. Mule Applications Mule applications accept message and process through series of processor in flow. Mule applications can be tested and deployed visually.
- 4. Mule Applications Mule applications are written in xml. Mule applications are deployed to Mule runtime. Mule applications can be deploy on premise as well as cloud hub.
- 5. Mule Runtime JVM servers that handle concurrent requests from different Mule applications in one JVM. It enforces policies for API governance. Decouples point to point integrations by having all (non-mule) applications talk to bus (Mule runtime) instead directly to each other. Mule Runtime Editions : Enterprise Edition and Community Edition. Community Edition is open source. Enterprise Edition provide many features like 24X7 support, extra connectors, batch module, Data Weave, Data Sense, visual debugging, templates, deployment and performance management.
- 6. Anypoint Studio Anypoint Studio is Eclipse Based integration development environment. Provide pre built connectors to connect SaaS application like Salesforce, many standard protocols (file, ftp, http, https, sftp etc.). Data Transformation Framework and Language. Visual Debugging (EE). Maven Support. One click deployment Building blocks like connectors, scopes, filters, components, transformers, flow control, error handling.
- 7. Lifecycle of Mule API Planning and Designing the API Integration and Securing the API Testing, Deploying and accommodating versioning and rollback Managing and Monitoring the API.
- 8. Mule API Mule API can designed using RAML. RAML is very simple, standard, reuse for designing the Rest API’s. Mule API supports various http method like GET, POST, PUT, PATCH, DELETE. Mulesoft provide online IDE for designing the Rest API (i.e. Anypoint API Manager). Rest API can be published using Anypoint portal publicly or privately. The Anypoint Studio APIkit plugin can generate an interface automatically from a RAML API definition
- 10. Thank You