Mule with quartz
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Quartz transport in Mule allows scheduling inbound and outbound events. Cron expressions are used to define schedules and can be simple, like running every minute, or complex, like running on specific dates and times. Jobs are used to perform scheduled actions. An example application demonstrates writing a file to an outbound folder at a scheduled interval using Quartz, with the files appearing as scheduled.
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Quartz in Mule
Quartz can be used in Mule applications to schedule events. Inbound quartz endpoints can trigger repeating events like every second, while outbound endpoints schedule existing events for later dates. Cron expressions define schedules using fields separated by spaces. Jobs perform scheduled actions. For example, a Mule flow can be configured to write a file to an outbound folder every specific interval using quartz.
Mule quartz
Quartz transport in Mule allows scheduling inbound and outbound events. Cron expressions are used to define schedules and jobs trigger actions when a time trigger occurs. A simple example application writes a file to an outbound folder at a specified interval using Quartz, demonstrating how it can schedule flows to run periodically.
Mule with quartz
Quartz transport in Mule allows scheduling events to occur repeatedly or at specific times in the future. Cron expressions are used to define schedules and can be simple, like running every minute, or complex, like running on certain days and dates. Jobs are actions performed when a time trigger occurs. For example, a Mule application can be configured to write a file to an outbound endpoint at regular intervals using Quartz.
Introduction To Mule
This document provides an introduction to Mule ESB, including:
- Mule is an open source integration platform and service container that supports routing, transformation, and validation of messages.
- It includes components like endpoints, transports, service components, transformers, filters, interceptors, and routers.
- Transports are responsible for message traffic between source and target systems using connectors and transformers.
- Service components contain the business logic and can be POJOs, scripts, web services, or REST calls.
- Transformers transform message formats and enrich contents using standard or custom transformers.
- Filters apply conditions for message routing using standard filters like payload type filters.
Scatter gather in mule
Scatter-gather in Mule allows a request message to be sent to multiple targets concurrently. The responses are then collected from all routes and aggregated into a single message. To implement scatter-gather, the flow references two sub-flows that will run concurrently. Once both sub-flows complete, their payloads are merged by the scatter-gather processor. Testing the flow via a URL will output logs showing that the sub-flows completed concurrently and their payloads were combined.
Using spring scheduler mule
Using Spring Scheduler Mule allows scheduling tasks in Mule applications using a Java class and Spring task scheduler. This provides an alternative to using Quartz scheduler or Poll components. The document demonstrates creating a Java class that prints a message every 10 seconds, and configuring the Spring task scheduler in Mule to trigger that class repeatedly to continuously monitor an application.
Runing batch job in mule
Mule ESB allows processing of messages in batches. A batch job splits large messages into individual records, processes each record through batch steps, and generates a report with results. Batch jobs are useful for processing large datasets from APIs, databases, or between applications. The key parts of a batch job are the input phase, loading phase, processing phase, and completion phase.
Scatter gather in mule
Scatter-gather in Mule sends a request message concurrently to multiple targets. It then collects the responses from all routes and aggregates them into a single message. To implement scatter-gather, a flow references two sub-flows that run concurrently. The payloads from both sub-flows are then merged by the scatter-gather processor. Testing the flow via a URL will log that both sub-flows completed concurrently and the scatter-gather merged their payloads.
Recommended
Quartz in Mule
Quartz can be used in Mule applications to schedule events. Inbound quartz endpoints can trigger repeating events like every second, while outbound endpoints schedule existing events for later dates. Cron expressions define schedules using fields separated by spaces. Jobs perform scheduled actions. For example, a Mule flow can be configured to write a file to an outbound folder every specific interval using quartz.
Mule quartz
Quartz transport in Mule allows scheduling inbound and outbound events. Cron expressions are used to define schedules and jobs trigger actions when a time trigger occurs. A simple example application writes a file to an outbound folder at a specified interval using Quartz, demonstrating how it can schedule flows to run periodically.
Mule with quartz
Quartz transport in Mule allows scheduling events to occur repeatedly or at specific times in the future. Cron expressions are used to define schedules and can be simple, like running every minute, or complex, like running on certain days and dates. Jobs are actions performed when a time trigger occurs. For example, a Mule application can be configured to write a file to an outbound endpoint at regular intervals using Quartz.
Introduction To Mule
This document provides an introduction to Mule ESB, including:
- Mule is an open source integration platform and service container that supports routing, transformation, and validation of messages.
- It includes components like endpoints, transports, service components, transformers, filters, interceptors, and routers.
- Transports are responsible for message traffic between source and target systems using connectors and transformers.
- Service components contain the business logic and can be POJOs, scripts, web services, or REST calls.
- Transformers transform message formats and enrich contents using standard or custom transformers.
- Filters apply conditions for message routing using standard filters like payload type filters.
Scatter gather in mule
Scatter-gather in Mule allows a request message to be sent to multiple targets concurrently. The responses are then collected from all routes and aggregated into a single message. To implement scatter-gather, the flow references two sub-flows that will run concurrently. Once both sub-flows complete, their payloads are merged by the scatter-gather processor. Testing the flow via a URL will output logs showing that the sub-flows completed concurrently and their payloads were combined.
Using spring scheduler mule
Using Spring Scheduler Mule allows scheduling tasks in Mule applications using a Java class and Spring task scheduler. This provides an alternative to using Quartz scheduler or Poll components. The document demonstrates creating a Java class that prints a message every 10 seconds, and configuring the Spring task scheduler in Mule to trigger that class repeatedly to continuously monitor an application.
Runing batch job in mule
Mule ESB allows processing of messages in batches. A batch job splits large messages into individual records, processes each record through batch steps, and generates a report with results. Batch jobs are useful for processing large datasets from APIs, databases, or between applications. The key parts of a batch job are the input phase, loading phase, processing phase, and completion phase.
Scatter gather in mule
Scatter-gather in Mule sends a request message concurrently to multiple targets. It then collects the responses from all routes and aggregates them into a single message. To implement scatter-gather, a flow references two sub-flows that run concurrently. The payloads from both sub-flows are then merged by the scatter-gather processor. Testing the flow via a URL will log that both sub-flows completed concurrently and the scatter-gather merged their payloads.
Webservice vm in mule
The document discusses decomposing a complex Mule flow into smaller parts using VM components.
The VM transport allows breaking a large, complex flow into smaller pieces connected by queues for better control and performance. This helps control each event queue, reduces flow complexity, and prevents resources from being overcommitted.
The example shows exposing a CXF web service by breaking the flow into two parts connected by a VM queue. It stores the SOAP action in a property before sending to the VM queue to preserve it for the second flow.
Mule security
The document discusses Mule's support for SAML (Security Assertion Markup Language) for exchanging security information between federated systems. Mule version 2.2.3 introduced support for SAML 1.1 when using CXF web services. Future versions will support additional transports. The SAML module is only available in the Mule Enterprise edition. The document provides instructions on configuring the SAML module, including adding the JAR, configuring the security manager with keystores and realms, and configuring security filters on CXF endpoints. It also describes the sender vouches and holder of key SAML profiles.
Mule with stored procedure
The document discusses how to call stored procedures from a Mule application using Mule's database component. It explains how to create a stored procedure in MS SQL, call the stored procedure from a Mule flow, and test the application by hitting a URL that triggers the flow. The goal is to demonstrate how simple it is to leverage stored procedures through Mule's database capabilities.
Testing mule
Mule provides tools for testing Mule applications at various levels:
- Unit testing focuses on individual components without running Mule and uses MUnit.
- Functional testing runs Mule with limited configuration to test flows, routing, and error handling.
- Integration testing exercises the full application configuration similarly to a production environment.
MUnit is Mule's testing framework that allows mocking message processors and endpoints to isolate components during testing.
Mule core concepts
The document describes the key concepts and components in Mule including:
- The Mule model layer represents the runtime environment that hosts services and defines how Mule processes requests.
- A Mule service processes particular requests through configuration that determines which components from different layers will process incoming messages.
- The transport layer uses connectors, endpoints, and transformers to receive and send messages via different protocols like file, JDBC, HTTP, and JMS.
- Routers control the flow of messages through services, acting like switches to route messages to the correct endpoints and destinations. Components implement business logic on incoming events.
Mule quartz hari_gatadi
Quartz is an open source job scheduling library that can be integrated with Java applications to schedule jobs to run on a defined schedule or based on triggers. It allows scheduling jobs to run hourly, daily, weekly, monthly or yearly and supports features like job persistence, clustering, transactions and plug-ins. The document provides an example of how to use Mule's Quartz transport to create a simple flow that runs a job every five minutes to log a message.
Mule Quartz connector
The Quartz Connector in Mule allows scheduling of events to occur inside or outside of Mule flows at specific times. An inbound Quartz endpoint can trigger events like temperature reports at regular intervals, while an outbound endpoint can delay events like email sending until a scheduled time. The Quartz connector is configured by adding it to the Mule flow and setting properties like the cron expression, job name, and connectors on tabs for general settings, advanced options, reconnection, transformers, notes, and metadata.
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The document discusses different types of software testing for Mule applications, including unit testing, integration testing, and functional testing. It provides details on unit testing individual units of code in isolation. Integration testing involves combining units of code and testing them as a group. Functional testing uses the FunctionalTestCase class to test Mule flows by starting an embedded Mule server within a test case.
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Mule soa
1. The document discusses selecting Mule as an ESB over other open source options like Fuse after evaluating criteria like maintenance, support, licensing, performance, and integration capabilities.
2. Examples of Mule use cases are presented, including embedding Mule in a Java web application, controlling access to endpoints using Spring security, and routing requests to different data sources using Groovy.
3. Best practices discussed include using Mule testing components during development, combining SoapUI with mock services for testing, and taking a staged approach to migrating systems to the new ESB architecture.
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These slides explain Jms implementation and its working can be understood easily using the examples that contain graphical flows and descriptions.
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Send email attachment using smtp in mule esb
This document discusses sending email attachments using Mule ESB's SMTP connector. It describes how to configure a Mule flow to read a file from a source directory using the file inbound endpoint, transform it to a string using the file-to-string transformer, attach it to the message using the attachment transformer, and send it in an email using the SMTP outbound endpoint. The email will be sent to the specified recipient address with the file attached.
Scatter and gather in mule
Scatter-Gather in Mule allows sending a request message to multiple targets concurrently, collecting the responses from all routes and aggregating them into a single message. It implements this using message processors that process flows concurrently and then combine the payloads at the end. For example, a flow can contain two subflows that run concurrently using Scatter-Gather, with the responses from both subflows merged into a single payload.
Stored procedure in Mule
The document discusses how to call stored procedures from a Mule application using Mule's database component. It explains how to create a stored procedure in a database like MS SQL, then call it from a Mule flow by configuring the database connector and invoking the stored procedure using SQL. Testing the application by hitting a URL in the browser returns results from executing the stored procedure in the Mule console.
Mule connectors
This document provides information on various connectors available through the MuleSoft Anypoint Connectors. It lists 10 connectors: ActiveMQ, Cassandra DB, Database, Amazon S3, Amazon SQS, AMQP, Postgres, MySQL, Microsoft SQL Server, and Oracle Siebel. For each connector, it provides a brief 1-2 sentence description of the integration functionality and technologies supported. The connectors allow connecting applications, data, and devices to cloud and on-premises systems through APIs for various databases, messaging systems, storage services, and CRM platforms.
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Mule mule runtime engine
Mule is the runtime engine of Anypoint Platform that combines data and application integration across legacy systems, SaaS applications, and APIs. It can deploy anywhere as an on-premises integration engine, hybrid iPaaS, or API gateway. Mule integrates events in real-time using its staged-event driven architecture and can also move millions of records between applications or data sources in batch. It provides universal connectivity through pre-built connectors or building custom connectors.
Mule api
The document discusses API layers and Anypoint Platform for APIs. It describes how API layers provide a common interface for interacting with applications and gives examples where API layers are used to connect to legacy systems or publish partner APIs. It then introduces Anypoint Platform for building, managing, and securing APIs using components like the API Gateway, API Manager, API contract manager, and API policy manager. Finally, it provides a link for more information on APIs.
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The VM transport allows breaking a large, complex flow into smaller pieces connected by queues for better control and performance. This helps control each event queue, reduces flow complexity, and prevents resources from being overcommitted.
The example shows exposing a CXF web service by breaking the flow into two parts connected by a VM queue. It stores the SOAP action in a property before sending to the VM queue to preserve it for the second flow.
Mule security
The document discusses Mule's support for SAML (Security Assertion Markup Language) for exchanging security information between federated systems. Mule version 2.2.3 introduced support for SAML 1.1 when using CXF web services. Future versions will support additional transports. The SAML module is only available in the Mule Enterprise edition. The document provides instructions on configuring the SAML module, including adding the JAR, configuring the security manager with keystores and realms, and configuring security filters on CXF endpoints. It also describes the sender vouches and holder of key SAML profiles.
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The document discusses how to call stored procedures from a Mule application using Mule's database component. It explains how to create a stored procedure in MS SQL, call the stored procedure from a Mule flow, and test the application by hitting a URL that triggers the flow. The goal is to demonstrate how simple it is to leverage stored procedures through Mule's database capabilities.
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Mule provides tools for testing Mule applications at various levels:
- Unit testing focuses on individual components without running Mule and uses MUnit.
- Functional testing runs Mule with limited configuration to test flows, routing, and error handling.
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The document describes the key concepts and components in Mule including:
- The Mule model layer represents the runtime environment that hosts services and defines how Mule processes requests.
- A Mule service processes particular requests through configuration that determines which components from different layers will process incoming messages.
- The transport layer uses connectors, endpoints, and transformers to receive and send messages via different protocols like file, JDBC, HTTP, and JMS.
- Routers control the flow of messages through services, acting like switches to route messages to the correct endpoints and destinations. Components implement business logic on incoming events.
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Scatter and gather in mule
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This document discusses using the Quartz component in Mule applications to schedule tasks to run at predefined times. It provides an example of a "hello world" flow that uses a Quartz inbound endpoint to trigger a flow every 10 seconds that logs a message. The benefits of Quartz are also listed, such as being able to run jobs embedded within an application or standalone.
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This document discusses using the Quartz component in Mule applications to schedule tasks to run at predefined times. It provides an example of a "hello world" flow that uses a Quartz inbound endpoint to trigger a flow every 10 seconds that logs a message. The benefits of Quartz are also listed, such as being able to run jobs embedded within an application or standalone.
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You are to conduct a sample survey to determine the mean family income in a rural area of
central Florida. The question is, how many families should be sampled? In a pilot smaple of 10
families, the standard deviation of the sample was $500. The sponsor of the survey wants you to
use the 95 percent confidence level. the estimate is to be within $100. How many families should
be interviewed?
Solution
Given a=0.05, Z(0.025)=1.96 (from standard normal table)
So n=(Z*s/E)^2
=(1.96*500/100)^2
=96.04
Take n=97.
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- 2. Quartz transport can be used in Mule application to schedule an event to take place. An inbound quartz endpoint can be used to trigger inbound events that can be repeated, such as every second. Outbound quartz endpoints can be used to schedule an existing event to fire at a later date. Users can create schedules using cron expressions, and events can be persisted in a database. Source: MuleSoft
- 3. Cron Expressions: A cron expression is a string comprised by six or seven fields separated by white space. Fields can contain any of the allowed values, along with various combinations of the allowed special characters for that field. We can use cron expressions to create schedulers Example of cron expression : Cron expressions can be as simple as this: * * * * ? * or more complex, like this: 0 0/5 14,18,3-39,52 ? JAN,MAR,SEP MON-FRI 2002-2010. Source: MuleSoft
- 4. Jobs :- Jobs are used to perform an action when a time trigger occurs from the Quartz transport. Mule provides a number of jobs for generating and scheduling events. Source: MuleSoft
- 5. Now let’s test an application with Quartz
- 6. Let’s suppose we have a simple application designed to write a file to an outbound endpoint at a specific interval of time as follow :-
- 7. The mule config will be as follow :- As you can see the flow is designed to write a file to a folder at a specific interval of time
- 8. We start and run our application as follow:- We can find the application has start working and the Quartz is making the flow to write the file in the outbound endpoint after each specific interval of time
- 9. In the outbound folder you can see the files are generated at each interval of time:-
- 10. In my next slide I will bring some other techniques in Mule implementation . Hope you have enjoyed this simpler version. Keep sharing your knowledge and let our Mule community grow