How to use message properties component
•Download as PPTX, PDF•
0 likes•314 views
The document discusses how to use message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a property in the session scope and another in the outbound scope in one flow, then accessing them as an inbound property and session property in a second flow to illustrate how properties propagate between flows.
Report
Share
Report
Share
Recommended
Message properties component in Mule
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties work.
How to use message properties component
This document discusses how to use message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties with different scopes and logging their values. The flow shows setting a session property in one flow and an outbound property, then accessing them as an inbound property in a second flow to illustrate how message properties work across flows.
Message properties component in mule
This document discusses using message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a session property in one flow and an outbound property in another, then logging both properties in each flow to see how they are passed between flows and transformed to an inbound property.
Wildcard Filter
This document discusses using a wildcard filter in a Mule application. It shows an XML configuration for a flow that uses a wildcard filter to check if the payload contains the letter "m", ignoring case. If it matches, it logs "Success", otherwise processing stops. The document also provides the URL to trigger the flow and explains that the wildcard filter checks the payload against the pattern "*m*" before allowing the message to continue.
Data Mapper
This document discusses using a DataMapper transformer in Mule applications. DataMapper transforms data from one format to another. The example shows a flow that uses a JDBC connector to execute a SQL query, transforms the results using a DataMapper configuration, and logs the output. Upon receiving an HTTP request, it connects to a database, runs a select statement, maps the results to a new format defined in a graph, and prints the transformed payload.
Splitter
The document discusses using the Splitter component in Mule applications. The Splitter splits an incoming message into fragments based on an expression and sends each fragment to the next processor. This allows processing message parts asynchronously and then reassembling them using an Aggregator. An example flow splits an XML shipment order message by item title and logs the results.
Salesforce
This document provides an example of using the Salesforce connector in Mulesoft to query an Account by ID from Salesforce and output the results. The example flow hits an HTTP endpoint, uses the Salesforce connector configured with a username/password to query for a specific Account by ID, and logs the response. It provides the XML configuration and output showing the Account details being returned from Salesforce.
Bean as Datasource
The document discusses using a Bean as a data source in Mule's database connector. It shows an XML configuration that defines a Bean pointing to a SQL Server database, and uses it to configure the database connector. It then demonstrates a flow that exposes an HTTP endpoint, uses the database connector to execute a SQL select query, and logs the results.
Recommended
Message properties component in Mule
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties work.
How to use message properties component
This document discusses how to use message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties with different scopes and logging their values. The flow shows setting a session property in one flow and an outbound property, then accessing them as an inbound property in a second flow to illustrate how message properties work across flows.
Message properties component in mule
This document discusses using message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a session property in one flow and an outbound property in another, then logging both properties in each flow to see how they are passed between flows and transformed to an inbound property.
Wildcard Filter
This document discusses using a wildcard filter in a Mule application. It shows an XML configuration for a flow that uses a wildcard filter to check if the payload contains the letter "m", ignoring case. If it matches, it logs "Success", otherwise processing stops. The document also provides the URL to trigger the flow and explains that the wildcard filter checks the payload against the pattern "*m*" before allowing the message to continue.
Data Mapper
This document discusses using a DataMapper transformer in Mule applications. DataMapper transforms data from one format to another. The example shows a flow that uses a JDBC connector to execute a SQL query, transforms the results using a DataMapper configuration, and logs the output. Upon receiving an HTTP request, it connects to a database, runs a select statement, maps the results to a new format defined in a graph, and prints the transformed payload.
Splitter
The document discusses using the Splitter component in Mule applications. The Splitter splits an incoming message into fragments based on an expression and sends each fragment to the next processor. This allows processing message parts asynchronously and then reassembling them using an Aggregator. An example flow splits an XML shipment order message by item title and logs the results.
Salesforce
This document provides an example of using the Salesforce connector in Mulesoft to query an Account by ID from Salesforce and output the results. The example flow hits an HTTP endpoint, uses the Salesforce connector configured with a username/password to query for a specific Account by ID, and logs the response. It provides the XML configuration and output showing the Account details being returned from Salesforce.
Bean as Datasource
The document discusses using a Bean as a data source in Mule's database connector. It shows an XML configuration that defines a Bean pointing to a SQL Server database, and uses it to configure the database connector. It then demonstrates a flow that exposes an HTTP endpoint, uses the database connector to execute a SQL select query, and logs the results.
Collection aggregator
The document discusses using a collection aggregator in Mule applications. It provides an example Mule flow that uses a HTTP listener, splitter, collection aggregator, and logger. The flow splits an XML payload containing multiple items, aggregates them into a collection, and logs the result. It also notes that the collection aggregator will fail if items are not received within a timeout period.
Specifying a default exception strategy
The document discusses how to specify a default exception strategy in Mule applications. It provides an example of a flow that handles exceptions, showing how to configure a global catch-exception strategy that sets a 400 status code and error payload if any exceptions occur. It also shows sample output when the flow receives valid versus invalid input.
Validate json schema
The document discusses validating JSON payloads against JSON schemas in Mule applications. It provides an example Mule flow that uses the JSON schema validator to validate incoming JSON payloads against a schema file. If validation fails, an exception is thrown detailing the errors; if it passes, a log message is displayed. The flow listens for HTTP requests and validates the payload against the schema before logging the result.
How to use and filter
The document discusses how to use an AND filter in Mule applications. The AND filter allows messages to proceed through a flow only if all specified expression filters evaluate to true. An example flow is provided that uses two expression filters with an AND filter to check if a SOAP message contains the strings "mule" and "soft", logging "Success" if both expressions are true. The execution flow is described where a request is made to the service and the AND filter validates it contains both strings before further processing.
Soap Component
The document discusses how to use the Mule SOAP component to create and consume a SOAP web service. It includes steps to generate an XSD and WSDL, create a Java service interface, implement the interface, and test the service using SOAP UI. The SOAP component allows publishing, consuming, and proxying SOAP services within a Mule flow.
How to use wildcard filter
The document discusses how to use a wildcard filter in Mule applications. It provides an example Mule flow that uses a wildcard filter to check if the payload contains the letter "m", logging "Success" if it does. The flow demonstrates triggering the filter by calling a URL and describes how the wildcard filter works to match patterns in the message payload.
Filter expression in mule
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
How to use not filter
The document discusses how to use the Not filter in Mule applications. The Not filter allows specifying complex logical conditions by inverting the result of an inner filter. An example flow demonstrates a Not filter checking if a SOAP request contains "soft" and logging "Success" if it does not. The Not filter inverts the result of the inner expression filter to control flow.
How to use splitter component
The document discusses how to use the Splitter component in Mule applications to split an incoming message into fragments based on an expression. The Splitter can split a message into parts that are then processed asynchronously and later reassembled using an Aggregator. An example flow is provided that splits an XML payload containing order items by item title and logs the results.
How to use or filter
The document discusses how to use the Or filter in Mule applications. The Or filter allows a message to proceed through a flow if any of its expression filters evaluate to true. An example flow is provided that uses an Or filter to check if the request payload contains "mule" or "soft", logging "Success" if either expression is true. The Or filter provides a simple way to implement logical OR operations to specify complex conditional logic.
Expression filter in Mule
The document discusses using expression filters in Mule applications. It provides an example Mule configuration file that uses an expression filter to check the value of a session variable and route the message to a second flow if the value is not equal to "mule". The output shows the message being logged in both flows, demonstrating that the expression filter passed the message to the second flow since the session variable value was "mule studio" rather than just "mule".
Mule message processor or routers
The document provides information on various message processors and routers in Mule, including:
- The All message processor sends the same message to multiple targets.
- The Async message processor runs a chain of processors in a separate thread.
- The Choice processor sends a message to the first matching child processor.
- Collection processors like Aggregator and Splitter group and split messages.
- Custom processors allow implementing custom aggregation logic.
- Filters like Idempotent prevent duplicate messages.
- The Until Successful processor retries message processing until success.
Mule property placeholder
When using multiple property files that define the same properties, the values in the property file listed last will override those listed earlier. This is because properties are read from the last listed file first and this overrides any same-named properties from earlier files. The document demonstrates configuring Mule to read properties from two files, and shows that reversing the file order changes which property values are used.
Universidad tecnologica
El documento describe la importancia de las tecnologías de la información y la comunicación (TIC) en el contexto educativo. Explica que las TIC se utilizan para almacenar, procesar y difundir información y son una herramienta didáctica indispensable en la educación. Luego, analiza casos del uso de las TIC en dos universidades colombianas y encuentra que si bien el progreso ha sido considerable, aún falta capacitar más a los docentes para aprovechar todo el potencial de las TIC en la enseñanza.
Chap 8.2 income taxes
The document discusses income taxes and how they affect economic analysis and decision making. It provides information on different types of taxes, how taxable income is calculated, depreciation, and how to incorporate taxes into analyses by adjusting cash flows for taxes paid. Examples are provided to illustrate how to calculate taxable income, depreciation, and rates of return both before-tax and after-tax.
Distributed Mobility Management (DMM)
Area: Internet Area
Working Group: Distributed Mobility Management (DMM)
Draft: MN Identifier Types for RFC 4283 Mobile Node Identifier Option (draft-ietf-dmm-4283mnids-01 )
RFC: Requirements for Distributed Mobility Management (rfc7333)
chris resume12.04.15
Christopher Berube is seeking a position as a restaurant General Manager. He has over 5 years of experience as both a General Manager and Restaurant Manager, most recently for Dunkin Donuts in Lunenburg, MA. His skills include budget administration, staff development, customer service, and cost control. He graduated from Greater Lowell Regional Vocational High School with a GPA of 3.15 and played varsity tennis.
How to use message properties component
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties propagate between flows.
How to use message properties component
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties function.
How to use message properties component
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties propagate between flows.
More Related Content
What's hot
Collection aggregator
The document discusses using a collection aggregator in Mule applications. It provides an example Mule flow that uses a HTTP listener, splitter, collection aggregator, and logger. The flow splits an XML payload containing multiple items, aggregates them into a collection, and logs the result. It also notes that the collection aggregator will fail if items are not received within a timeout period.
Specifying a default exception strategy
The document discusses how to specify a default exception strategy in Mule applications. It provides an example of a flow that handles exceptions, showing how to configure a global catch-exception strategy that sets a 400 status code and error payload if any exceptions occur. It also shows sample output when the flow receives valid versus invalid input.
Validate json schema
The document discusses validating JSON payloads against JSON schemas in Mule applications. It provides an example Mule flow that uses the JSON schema validator to validate incoming JSON payloads against a schema file. If validation fails, an exception is thrown detailing the errors; if it passes, a log message is displayed. The flow listens for HTTP requests and validates the payload against the schema before logging the result.
How to use and filter
The document discusses how to use an AND filter in Mule applications. The AND filter allows messages to proceed through a flow only if all specified expression filters evaluate to true. An example flow is provided that uses two expression filters with an AND filter to check if a SOAP message contains the strings "mule" and "soft", logging "Success" if both expressions are true. The execution flow is described where a request is made to the service and the AND filter validates it contains both strings before further processing.
Soap Component
The document discusses how to use the Mule SOAP component to create and consume a SOAP web service. It includes steps to generate an XSD and WSDL, create a Java service interface, implement the interface, and test the service using SOAP UI. The SOAP component allows publishing, consuming, and proxying SOAP services within a Mule flow.
How to use wildcard filter
The document discusses how to use a wildcard filter in Mule applications. It provides an example Mule flow that uses a wildcard filter to check if the payload contains the letter "m", logging "Success" if it does. The flow demonstrates triggering the filter by calling a URL and describes how the wildcard filter works to match patterns in the message payload.
Filter expression in mule
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
How to use not filter
The document discusses how to use the Not filter in Mule applications. The Not filter allows specifying complex logical conditions by inverting the result of an inner filter. An example flow demonstrates a Not filter checking if a SOAP request contains "soft" and logging "Success" if it does not. The Not filter inverts the result of the inner expression filter to control flow.
How to use splitter component
The document discusses how to use the Splitter component in Mule applications to split an incoming message into fragments based on an expression. The Splitter can split a message into parts that are then processed asynchronously and later reassembled using an Aggregator. An example flow is provided that splits an XML payload containing order items by item title and logs the results.
How to use or filter
The document discusses how to use the Or filter in Mule applications. The Or filter allows a message to proceed through a flow if any of its expression filters evaluate to true. An example flow is provided that uses an Or filter to check if the request payload contains "mule" or "soft", logging "Success" if either expression is true. The Or filter provides a simple way to implement logical OR operations to specify complex conditional logic.
Expression filter in Mule
The document discusses using expression filters in Mule applications. It provides an example Mule configuration file that uses an expression filter to check the value of a session variable and route the message to a second flow if the value is not equal to "mule". The output shows the message being logged in both flows, demonstrating that the expression filter passed the message to the second flow since the session variable value was "mule studio" rather than just "mule".
Mule message processor or routers
The document provides information on various message processors and routers in Mule, including:
- The All message processor sends the same message to multiple targets.
- The Async message processor runs a chain of processors in a separate thread.
- The Choice processor sends a message to the first matching child processor.
- Collection processors like Aggregator and Splitter group and split messages.
- Custom processors allow implementing custom aggregation logic.
- Filters like Idempotent prevent duplicate messages.
- The Until Successful processor retries message processing until success.
Mule property placeholder
When using multiple property files that define the same properties, the values in the property file listed last will override those listed earlier. This is because properties are read from the last listed file first and this overrides any same-named properties from earlier files. The document demonstrates configuring Mule to read properties from two files, and shows that reversing the file order changes which property values are used.
What's hot (13)
Viewers also liked
Universidad tecnologica
El documento describe la importancia de las tecnologías de la información y la comunicación (TIC) en el contexto educativo. Explica que las TIC se utilizan para almacenar, procesar y difundir información y son una herramienta didáctica indispensable en la educación. Luego, analiza casos del uso de las TIC en dos universidades colombianas y encuentra que si bien el progreso ha sido considerable, aún falta capacitar más a los docentes para aprovechar todo el potencial de las TIC en la enseñanza.
Chap 8.2 income taxes
The document discusses income taxes and how they affect economic analysis and decision making. It provides information on different types of taxes, how taxable income is calculated, depreciation, and how to incorporate taxes into analyses by adjusting cash flows for taxes paid. Examples are provided to illustrate how to calculate taxable income, depreciation, and rates of return both before-tax and after-tax.
Distributed Mobility Management (DMM)
Area: Internet Area
Working Group: Distributed Mobility Management (DMM)
Draft: MN Identifier Types for RFC 4283 Mobile Node Identifier Option (draft-ietf-dmm-4283mnids-01 )
RFC: Requirements for Distributed Mobility Management (rfc7333)
chris resume12.04.15
Christopher Berube is seeking a position as a restaurant General Manager. He has over 5 years of experience as both a General Manager and Restaurant Manager, most recently for Dunkin Donuts in Lunenburg, MA. His skills include budget administration, staff development, customer service, and cost control. He graduated from Greater Lowell Regional Vocational High School with a GPA of 3.15 and played varsity tennis.
Viewers also liked (6)
Similar to How to use message properties component
How to use message properties component
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties propagate between flows.
How to use message properties component
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties function.
How to use message properties component
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties propagate between flows.
Message properties component
This document discusses using message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a session property in one flow and an outbound property in another, then logging both properties in each flow to see how they are passed between flows and transformed to an inbound property.
Message properties component
This document discusses using message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a session property in one flow and an outbound property in another, then logging both properties in each flow to see how they are passed between flows and transformed to an inbound property.
Mule Message Properties Component
This document discusses using message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow after being passed between the flows.
Message properties component in mule
The document discusses using message properties in Mule applications. It shows an example Mule flow that uses message-properties-transformer components to add properties with different scopes (session and outbound). The flow displays the values of properties in both the outbound and subsequent inbound messages to demonstrate how message properties function between flows.
How to use expression filter
The document discusses using expression filters in Mule applications. It provides an example Mule configuration file that uses an expression filter to check the value of a session variable and route the message to a second flow if the value is not equal to "mule". The output shows the message being routed to the second flow since the session variable is set to "mule studio". It concludes by explaining the overall flow of execution in the example.
How to use expression filter
The document discusses using expression filters in Mule applications. It provides an example Mule configuration file that uses an expression filter to check the value of a session variable and route the message to a second flow if the value is not equal to "mule". The output shows the message being logged in both flows, demonstrating that the expression filter passed the message to the second flow since the session variable value was "mule studio" rather than just "mule".
How to use expression filter
The document discusses using expression filters in Mule applications. It provides an example Mule configuration file that uses an expression filter to check the value of a session variable and route the message to a second flow if the value is not equal to "mule". The output shows the message being logged in both flows, demonstrating that the expression filter passed the message to the second flow since the session variable value was "mule studio" rather than just "mule".
How to use expression filter
This document provides an example of how to use an expression filter in Mule applications. It shows XML configuration with two flows, one that sets a session property and logs it, and another that is called by the first flow via VM connector if the session property value is not equal to "mule". The output logs from both flows are displayed, demonstrating the expression filter functionality.
How to use expression filter
This document provides an example of how to use an expression filter in Mule applications. It shows XML configuration with two flows, one that sets a session property and logs it, and another that is called by the first flow via VM connector if the session property value is not equal to "mule". The output logs from both flows are displayed, demonstrating the expression filter functionality.
How to use expression filter
This document provides an example of how to use an expression filter in Mule applications. It shows XML configuration with two flows, one that sets a session property and logs it, and another that is called by the first flow via VM connector if the session property value is not equal to "mule". The output logs from both flows are displayed, demonstrating the expression filter functionality.
How to use expression filter
This document provides an example of how to use an expression filter in Mule applications. It shows XML configuration with two flows, one that sets a session property and logs it, and another that is called by the first flow via VM connector if the session property value is not equal to "mule". The output logs from both flows are displayed, demonstrating how the expression filter directs flow execution based on the session property value.
How to use expression filter
This document provides an example of how to use an expression filter in Mule applications. It shows XML configuration with two flows, one that sets a session property and logs it, and another that is called by the first flow via VM connector if the session property value is not equal to "mule". The output logs from both flows are displayed, demonstrating the expression filter functionality.
Filter expression
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
Filter expression
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
Filter expression
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
Filter expression in mule
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
Expression Filters
The document discusses using expression filters in Mule applications. It provides an example Mule flow that uses a message properties transformer to add a session property, an expression filter to check the property value, and calls a second flow via VM if the property value is not equal to "mule". The output shows the session property logged in both flows, demonstrating how expression filters can control flow execution based on message properties.
Similar to How to use message properties component (20)
More from irfan1008
Converting with custom transformer
This document discusses how to use a custom transformer in Mule to directly transform an XML payload to JSON. It provides an example of a Mule flow that uses a custom transformer implemented as a Java class to read an XML file, convert it to a JSON string, and write the output to a new file. The custom transformer uses the Jackson XML and JSON mappers to perform the actual conversion between the two formats. Testing the flow results in the XML payload being successfully transformed to JSON and written out as expected.
Caching and invalidating with managed store
This document discusses using the NonPersistentManagedObjectStore in Mule for caching and invalidating caches with simple configurations. It shows how to configure caching in a flow using the cache scope, retrieve cached data even after deleting from the database, and invalidate the entire cache using another flow to clear it. Testing is done using SoapUI to call the web service and observe the cached response versus a fresh response after cache invalidation.
Cache for community edition
This document discusses implementing a cache in Mule Community Edition using a custom interceptor since Community Edition does not have the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor class that can be used to cache payload data and filter expressions. The document also includes an example Mule configuration and flow that divides the flow into two parts connected by a VM component and uses the custom interceptor. It demonstrates testing the flow by calling a web service, deleting database data, and calling the service again to show the cached response is returned rather than hitting the database again.
Mule
Anypoint Studio has a feature to automatically generate documentation for Mule projects. It allows users to generate an HTML-based documentation file with a single click. The documentation generator plugin extracts information from doc:name attributes added to components in the Mule configuration file. It produces documentation containing graphical and code views of all flows in the project.
Groovy with Mule
This document demonstrates how to use a Groovy scripting component to pause a Mule flow for a period of time before processing the payload. The flow uses a file inbound endpoint to pick up a file, passes it to a Groovy script that sleeps for 3000ms, and then sends the file to a file outbound endpoint. The Groovy script allows pausing the flow by calling the sleep method, holding the payload for a specified interval before continuing processing.
Validate Soap Request in Mule
This document discusses how to validate SOAP requests in Mule by using a schema validation filter. The schema validation filter allows validating a SOAP request against an XSD schema file. It provides an example Mule flow that adds a schema validation filter before the SOAP service. If validation fails, it routes to a subflow that throws a custom error message. The filter uses the JAXP libraries to validate against the provided XSD schemas.
WebService with VM Mule
This document discusses exposing a CXF web service in Mule by decomposing the flow into smaller parts using VM components. The flow is broken into two separate flows connected by a VM queue. This approach has advantages like better control of each event, reduced complexity, and improved performance compared to other queue services. The document provides an example configuration showing how to store and retrieve message properties when passing through the VM queue.
Xslt in mule
XSLT can be used to transform XML payloads in Mule applications. The document demonstrates setting an XML payload and using an XSLT transformer component with an XSLT file to transform the XML into a new format. The example Mule flow uses an HTTP inbound endpoint, sets an XML payload, and applies an XSLT transformation defined in a Transform.xslt file to output a new XML format.
Developing Oracle Connector Using Mule
This document describes several Oracle connectors that are provided by MuleSoft to integrate Oracle applications and data with other systems. It lists connectors for Oracle Service Cloud, PeopleSoft, Database, E-Business Suite, Siebel, and a Siebel to Salesforce contact synchronization connector. The connectors allow automating processes and synchronizing data between these Oracle applications and other third party systems both on-premise and in the cloud.
Send email attachment using smtp in mule esb
This document describes how to send an email attachment using Mule ESB's SMTP connector. It involves using a file inbound endpoint to read a file from a source directory, transforming it to a string, setting it as an attachment using the attachment transformer, and sending it in an email via the SMTP connector. Key components used are the file inbound endpoint, attachment transformer, and SMTP connector.
Mule oracle connectors
This document describes several Oracle connectors that can be used with MuleSoft's Anypoint Platform to integrate Oracle applications and data with other systems. It lists connectors for Oracle Service Cloud (RightNow), PeopleSoft, Database, E-Business Suite (EBS), Siebel, and a Siebel to Salesforce contact synchronization connector. The connectors allow automated processes and data synchronization between the Oracle applications and other enterprise applications both on-premise and in the cloud.
Mule google connectors
This document describes several Google connectors that are provided by Anypoint Platform from MuleSoft. It lists connectors for Google Prediction, Tasks, Contacts, Calendar, and Spreadsheets. Each connector allows integration between the respective Google service and third party applications by providing access to the Google APIs. The connectors allow applications to import, export, sync and modify data in Google services. This enables automation and extension of processes across different enterprise systems and departments.
Mule execution
1. A client application makes a loan quote request to a LoanBroker service, which creates a LoanQuoteRequest message.
2. The message is sent to various services via JMS to retrieve a credit profile, get lender recommendations, and request quotes from banks.
3. The responses from the banks are returned to the LoanBroker, which selects the lowest quote and returns it to the client.
Mule database-connectors
This document summarizes various database connectors available through Anypoint Platform from MuleSoft. It lists connectors for Oracle Database, MySQL, JDBC, PostgreSQL, DB2, and Cassandra database. Each connector allows applications to connect and perform CRUD operations on the respective database. The connectors provide a way to easily integrate databases with applications, systems and services.
Mule batch processing
Batch processing in Mule allows splitting messages into individual records, performing actions on each record in parallel, and reporting results. It is useful for integrating or synchronizing large datasets between systems, extracting/transforming/loading data into a target system, and handling large volumes of incoming API data. Mule's batch jobs simplify processing massive amounts of data through record-based reporting, error handling, and parallel processing to improve reliability.
Mule architecture
Mule is a lightweight integration platform that connects systems, services, APIs and devices. It intelligently manages message routing, data mapping, orchestration, reliability, security and scalability between nodes. Mule allows different applications to communicate by acting as a transit system that reads, transforms and sends data as messages between applications. The key elements in Mule include flows, message sources, message processors and endpoints that allow it to connect applications and send data between them.
Mule anypoint exchange
Anypoint Exchange is a platform that allows for the exchange of data between systems using different patterns like aggregation, bi-directional, and broadcast. It supports the exchange of various object types like accounts, contacts, leads, and products at different difficulty levels from easy to difficult. The exchange also classifies the content as products, patterns, difficulty levels, or object types.
Mule soap
This document discusses how to validate SOAP requests against an XSD schema file using a schema validation filter in Mule. The schema validation filter refers to XSD files to validate the SOAP request. If invalid, a custom error message is returned. The code example shows adding the schema validation filter to the flow and configuring it with the XSD schema location.
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.
Mule security saml
The document discusses Mule's support for SAML, which allows for exchange of security information between systems. The current version supports SAML 1.1 with CXF web services. It describes how to configure the SAML module by adding the JAR, configuring a security manager with realms and key providers, and applying security filters to CXF endpoints. It also explains the differences between the Sender Vouches and Holder of Key SAML profiles.
More from irfan1008 (20)
Recently uploaded
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
AWS Certified Solutions Architect Associate (SAA-C03)
AWS Certified Solutions Architect Associate (SAA-C03)
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
A Deep Dive into ScyllaDB's Architecture
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Available 24/7
Northern Engraving | Nameplate Manufacturing Process - 2024
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Introducing BoxLang : A new JVM language for productivity and modularity!
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
What is an RPA CoE? Session 2 – CoE Roles
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Recently uploaded (20)
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
AWS Certified Solutions Architect Associate (SAA-C03)
AWS Certified Solutions Architect Associate (SAA-C03)
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Call Girls Chandigarh🔥7023059433🔥Agency Profile Escorts in Chandigarh Availab...
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Introducing BoxLang : A new JVM language for productivity and modularity!
Introducing BoxLang : A new JVM language for productivity and modularity!
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
How to use message properties component
- 1. How to use Message Properties component
- 2. Abstract • The main motto of this PPT is how to use Message Properties in our applications.
- 3. Example
- 4. • .mflow • <?xml version="1.0" encoding="UTF-8"?> • <mule xmlns:http="http://www.mulesoft.org/schema/mule/http" xmlns:vm="http://www.mulesoft.org/schema/mule/vm" xmlns="http://www.mulesoft.org/schema/mule/core" xmlns:doc="http://www.mulesoft.org/schema/mule/documentation" xmlns:spring="http://www.springframework.org/schema/beans" version="EE-3.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd • http://www.mulesoft.org/schema/mule/core http://www.mulesoft.org/schema/mule/core/current/mule.xsd • http://www.mulesoft.org/schema/mule/vm http://www.mulesoft.org/schema/mule/vm/current/mule-vm.xsd • http://www.mulesoft.org/schema/mule/http http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd"> • <flow name="MessagePropertiesFlow1" doc:name="MessagePropertiesFlow1"> • <http:inbound-endpoint exchange-pattern="request-response" host="localhost" port="8089" path="messageproperties" doc:name="HTTP"/> • <message-properties-transformer scope="session" doc:name="Message Properties"> • <add-message-property key="property1" value="studio"/> • </message-properties-transformer> • <message-properties-transformer scope="outbound" doc:name="Message Properties"> • <add-message-property key="property2" value="mule"/> • </message-properties-transformer> • <logger message="--flow1--#[message.outboundProperties['property2']]--#[sessionVars['property1']]" level="INFO" doc:name="Logger"/> • <vm:outbound-endpoint exchange-pattern="request-response" path="messageproperties" doc:name="VM"/> • </flow> • <flow name="MessagePropertiesFlow2" doc:name="MessagePropertiesFlow2"> • <vm:inbound-endpoint exchange-pattern="request-response" path="messageproperties" doc:name="VM"/> • <logger message="---flow2--#[message.inboundProperties['property2']]--#[sessionVars['property1']]" level="INFO" doc:name="Logger"/> • </flow> • </mule>
- 5. • Output: • INFO 2015-10-03 16:00:23,705 [[messageproperties].config.change.14.thread.1] org.mule.DefaultMuleContext: • ********************************************************************** • * Application: messageproperties * • * OS encoding: Cp1252, Mule encoding: UTF-8 * • * * • * Agents Running: * • * Clustering Agent * • * JMX Agent * • ********************************************************************** • INFO 2015-10-03 16:00:23,706 [[messageproperties].config.change.14.thread.1] org.mule.module.launcher.MuleDeploymentService: • ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ • + Started app 'messageproperties' + • ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ • INFO 2015-10-03 16:00:26,480 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.api.processor.LoggerMessageProcessor: --flow1--mule--studio • INFO 2015-10-03 16:00:26,482 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.lifecycle.AbstractLifecycleManager: Initialising: 'connector.VM.mule.default.dispatcher.771015974'. Object is: VMMessageDispatcher • INFO 2015-10-03 16:00:26,482 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.lifecycle.AbstractLifecycleManager: Starting: 'connector.VM.mule.default.dispatcher.771015974'. Object is: VMMessageDispatcher • INFO 2015-10-03 16:00:26,489 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.api.processor.LoggerMessageProcessor: ---flow2--mule--studio
- 6. • Flow of execution: 1. URL to trigger the service from browser http://localhost:8089/messageproperties 2. In flow1 both outbound and session property is created using message property component 3. Service displays both outbound and session properties in flow1 4. In flow2 the outbound property is changes to inbound proeprty 5. Flow2 displays both inbound and session property