Splitting with mule
•Download as PPTX, PDF•
0 likes•2,433 views
The document discusses how Mule ESB can use a splitter component to break a large XML message into smaller parts by splitting on the individual <product> elements. It provides an example XML payload and Mule configuration that splits this payload and logs the product ID and name of each product element. The splitter allows large messages to be processed individually to more easily handle large data sets.
Report
Share
Report
Share
Recommended
Mule anypoint data gateway
Anypoint Data Gateway allows users to easily integrate Salesforce with external legacy data sources like SAP, Oracle, and SQL. It provides a simple point-and-click interface to access and wield Salesforce functionality on external data. Data Gateway supports instant connections to various back-end systems, eliminating the need for separate design environments or extensive user training. It is installed via Salesforce AppExchange and its designer interface allows quick configuration of gateways to external data sources and creation of new objects.
Xml to xml transformation in mule
This document discusses how to transform an XML payload into another XML format using XSLT in Mule. It provides an example of taking an input XML payload with two elements, name and id, and transforming it to an output XML payload with an additional element, designation. The transformation is done with an XSLT file that is referenced in the Mule flow. The flow accepts the input XML, sets a designation variable, runs the payload through the XSLT transformer, and produces the transformed output XML payload.
Mule concepts
- Mule is an event-driven architecture that processes messages through flows and batch jobs. Flows contain a series of message processors that accept and process messages, while batch jobs process large messages as records.
- The basic building blocks of flows are message sources that receive messages, transformers that convert message formats, and components that contain business logic. Messages move through processors, filters, and routers that route messages down different paths.
- Batch jobs split large messages into records and process them asynchronously across batch steps like flows process messages. Batch jobs execute when triggered and produce reports upon completion.
Automatic documentation with mule
Anypoint Studio has a built-in feature to automatically generate documentation for Mule projects. The documentation plugin allows users to generate an HTML report of all flows, elements, and code including attributes and descriptions provided in doc:name tags. To generate documentation, users simply select the documentation plugin in Anypoint Studio and choose an output folder. The plugin then builds an index.html file containing graphical and code views of each flow and component in the project.
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. The connectors allow applications to connect and perform CRUD operations on databases. They enable integration of databases with applications, systems and services.
Anypoint data gateway
Anypoint Data Gateway allows users to integrate data from legacy back-office systems like SAP, Oracle, and SQL into Salesforce quickly using a visual interface. It supports connecting to external databases with minimal configuration. After installing the Data Gateway package, users can design integrations by selecting a data source and mapping fields without coding.
New mule 3.8 & studio 6.0 beta releases
MuleSoft has released betas of Mule 3.8 and Studio 6.0. Mule 3.8 unifies the Mule and API gateway runtimes into a single package and adds new high availability features. Studio 6.0 allows for improved API design collaboration and debugging. It also includes new DataWeave support for flat files.
Mule Collection Aggregator
The Aggregator is a message handler that receives multiple messages and combines them into a single message. The Collection Aggregator specifically groups incoming messages that have matching group IDs before forwarding them together. It uses a timeout to determine how long to wait for messages to complete a group before forwarding or throwing an exception. Configuration options include the timeout, message mapping expressions, store prefix, and tracking business events.
Recommended
Mule anypoint data gateway
Anypoint Data Gateway allows users to easily integrate Salesforce with external legacy data sources like SAP, Oracle, and SQL. It provides a simple point-and-click interface to access and wield Salesforce functionality on external data. Data Gateway supports instant connections to various back-end systems, eliminating the need for separate design environments or extensive user training. It is installed via Salesforce AppExchange and its designer interface allows quick configuration of gateways to external data sources and creation of new objects.
Xml to xml transformation in mule
This document discusses how to transform an XML payload into another XML format using XSLT in Mule. It provides an example of taking an input XML payload with two elements, name and id, and transforming it to an output XML payload with an additional element, designation. The transformation is done with an XSLT file that is referenced in the Mule flow. The flow accepts the input XML, sets a designation variable, runs the payload through the XSLT transformer, and produces the transformed output XML payload.
Mule concepts
- Mule is an event-driven architecture that processes messages through flows and batch jobs. Flows contain a series of message processors that accept and process messages, while batch jobs process large messages as records.
- The basic building blocks of flows are message sources that receive messages, transformers that convert message formats, and components that contain business logic. Messages move through processors, filters, and routers that route messages down different paths.
- Batch jobs split large messages into records and process them asynchronously across batch steps like flows process messages. Batch jobs execute when triggered and produce reports upon completion.
Automatic documentation with mule
Anypoint Studio has a built-in feature to automatically generate documentation for Mule projects. The documentation plugin allows users to generate an HTML report of all flows, elements, and code including attributes and descriptions provided in doc:name tags. To generate documentation, users simply select the documentation plugin in Anypoint Studio and choose an output folder. The plugin then builds an index.html file containing graphical and code views of each flow and component in the project.
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. The connectors allow applications to connect and perform CRUD operations on databases. They enable integration of databases with applications, systems and services.
Anypoint data gateway
Anypoint Data Gateway allows users to integrate data from legacy back-office systems like SAP, Oracle, and SQL into Salesforce quickly using a visual interface. It supports connecting to external databases with minimal configuration. After installing the Data Gateway package, users can design integrations by selecting a data source and mapping fields without coding.
New mule 3.8 & studio 6.0 beta releases
MuleSoft has released betas of Mule 3.8 and Studio 6.0. Mule 3.8 unifies the Mule and API gateway runtimes into a single package and adds new high availability features. Studio 6.0 allows for improved API design collaboration and debugging. It also includes new DataWeave support for flat files.
Mule Collection Aggregator
The Aggregator is a message handler that receives multiple messages and combines them into a single message. The Collection Aggregator specifically groups incoming messages that have matching group IDs before forwarding them together. It uses a timeout to determine how long to wait for messages to complete a group before forwarding or throwing an exception. Configuration options include the timeout, message mapping expressions, store prefix, and tracking business events.
Mulesoft idempotent Message Filter
This document discusses Mulesoft's Idempotent Message Filter component. It ensures only unique messages pass through a service by checking the unique ID of incoming messages. There are several ways to achieve uniqueness, including using a simple text file store, which is demonstrated in a sample use case of validating unique user requests. The demonstration shows how to configure the Idempotent Message Filter in a flow to restrict duplicate messages from being processed.
Mule Esb
This document provides an overview of Mule ESB, including its history from mainframe computers to modern SOA and ESB implementations. It covers basics of Mule ESB, advanced topics like flow structure and performance, and tools like Mule Studio and Mule Cloud Hub. The document aims to introduce attendees to Mule ESB fundamentals as well as more advanced concepts.
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 esb
Mule ESB is an open source enterprise service bus that allows for integration, mediation, routing and transformation of events and messages. It uses components like filters, routers and transformers to process messages and make decisions. Mule expressions can access properties of messages to perform logic and transformations. The document demonstrates how to set up Mule Studio and run examples of content-based routing, JMS integration and exception strategies.
Mule ESB
This document discusses software integration challenges and how an Enterprise Service Bus (ESB) and Mule ESB can address them. It describes integration patterns like peer-to-peer and hub-and-spoke. An ESB is middleware that connects applications and services to allow communication. Mule ESB is an open source ESB that supports protocols like JMS, web services, and files. It allows easy integration of existing systems regardless of technology. Examples demonstrate how Mule ESB can be used in a loan broker application.
Mule advanced
Mule messages contain a header and payload. The header includes properties and variables that provide metadata about the message. Properties have inbound and outbound scopes, while variables have flow, session, and application scopes. Transformers can change the type, content, or properties of a message. Splitters break messages into parts that are routed to different endpoints. Aggregators reassemble split messages using correlation properties. Resequencers reorder messages that were processed out of order to put them back in the correct sequence.
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 feature introduced in 2013 simplifies processing massive amounts of data through parallelization, record-based reporting and error handling.
File component in mule demo
The document discusses how to use the File connector in Mule applications to exchange files between a file system and Mule application. The File connector can be used as an inbound endpoint to pick up files from a source location and move them to a destination location, or as an outbound endpoint. An example Mule flow configuration is provided that uses a file inbound endpoint to pick up a file, move it to a destination folder, and write a log message.
ESB introduction using Mule
The document provides an introduction to Mule, an open-source enterprise service backbone. It describes key Mule concepts like staged event-driven architecture (SEDA) and Java NIO, and how Mule uses these concepts to provide a scalable and modular integration platform. It also summarizes core Mule components like endpoints, routers, transformers and how they facilitate message flow and integration. XML examples are provided to demonstrate basic Mule configuration and exception handling.
Mule 3.8
Mule 3.8 unifies the API gateway extensions with the core Mule runtime, simplifying development and operations. It improves error messages to more clearly show where errors occur and debugging capabilities for connectors like HTTP and databases. Mule HA includes new quorum and persistence features to improve resilience and allow backups for recovery from network splits.
Mule esb transformers
Anypoint Studio Transformers helps us to transform the message to required format which helps in easy integration with other systems. You can use in built transformers given by Mule or you can develop a new custom on your own.
Generating Documentation for Mule ESB Application
Mule ESB allows developers to automatically generate documentation for their applications by clicking a button in Anypoint Studio. It will create an HTML page for each configuration file containing a message flow diagram and the XML configuration code. Developers can export the documentation by choosing a flow and specifying an output folder, generating an index.html page that allows browsing each individual flow and its XML code. This documentation can then be hosted on a web server like Tomcat for easy reference.
Database component in mule
The document discusses using the Database component in Mule to connect to a database and execute SQL queries. It provides an example Mule flow that defines a JDBC connection to an MS SQL database, uses the Database connector to run a SELECT query, and logs the results. The flow is triggered by an HTTP request and returns the query results via the response.
Mule database connector
The Database connector allows connecting to relational databases using JDBC and performing SQL operations like select, insert, update, delete, and stored procedures. It supports predefined and dynamic queries, templates, and bulk updates. DataSense uses query metadata to extract message data types for mapping. The DataMapper transformer can automatically map fields when used with a DataSense-enabled Database connector. Supported operations include select, insert, update, delete, stored procedures, bulk execute, and DDL. Configuration requires a Database connector, global connector, and installed driver.
xslt in mule
XSLT is used to transform XML payloads between different forms. In Mule, the XSLT transformer component allows transforming XML payloads using XSLT stylesheets. For example, a flow uses an HTTP inbound endpoint, sets an XML payload, and applies an XSLT stylesheet using the XSLT transformer to output a new transformed XML payload. The XSLT stylesheet matches elements in the input XML and outputs a new structure defined in the stylesheet.
Mule soa
The document discusses how and why the company selected Mule as its service-oriented architecture, providing examples of Mule use cases and best practices learned. It describes evaluating major open source ESB products based on criteria like support and performance. Testing uncovered some issues with Mule 3.1.1 that were quickly resolved by MuleSoft. Examples shown include using Mule as a scalable web application, integrating various data sources, and sending support requests. Best practices discussed include test-driven development, customizing Mule's distribution, and staged migration of systems.
Configuration patterns in mule
This document discusses configuration patterns in Mule, including simple service, web service proxy, bridge, validator, and HTTP proxy patterns. The simple service pattern exposes components like POJOs, JAX-WS services, and JAX-RS services as request-response services. The web service proxy pattern proxies remote web services and can transform SOAP envelopes. The bridge pattern establishes a direct connection between an inbound and outbound endpoint and supports transformations and transactions. The validator pattern validates inbound messages against filters and returns ACK/NACK responses. The HTTP proxy pattern sits between a caller and target resource, propagating HTTP requests and responses. Configuration patterns are designed for ease of use over power for common tasks.
Mule with drools
This document discusses using Drools, a business rules management system, with Mule to execute business rules in applications. It provides an example of creating a simple Mule application that uses a .drl file to define rules to determine a warehouse destination based on a randomly generated weight variable. The application is deployed to a Mule standalone server and the rules are executed by the Drools component to set the destination variable according to the rules.
Mule high availability
Mule clusters consist of 2-8 server instances that act as a single unit. An active-active model allows all servers to support the application simultaneously, unlike an active-passive model where only one primary server is active. To ensure reliability, applications must have zero message loss tolerance and rely on a reliable ESB and connections between clustered nodes. Best practices include organizing steps to move messages transactionally between stores, using distributed stores, and implementing reliability patterns for high reliability apps.
Anypoint data gateway
Anypoint Data Gateway allows users to integrate data from legacy back-office systems like SAP, Oracle, and SQL into Salesforce using a simple visual interface. It supports connecting to various data sources instantly and eliminates the need for separate integration environments or extensive training. The Data Gateway is installed via the Salesforce AppExchange and provides a designer to create and publish gateways to external data sources and view existing source objects.
Collection Splitter Aggregator in Mule ESB
These slides will describe the developer, How to use the collection splitter and aggregator and the things which we need to consider while using the Collection Splitter and Aggregator.
Mule parsing with json
JSON (JavaScript Object Notation) is a lightweight data format that is easy for humans to read and write and for machines to parse and generate. It is based on JavaScript and commonly used to transmit data in REST web services. This document provides an example of a simple JSON payload formatted as a list with attributes like "category", "author", "title", and "price" repeating for two objects. It then shows how to use Mule to parse this JSON payload by setting it as the payload, transforming it to a list using a JSON transformer, splitting the collection, and logging the attribute values of each object.
More Related Content
What's hot
Mulesoft idempotent Message Filter
This document discusses Mulesoft's Idempotent Message Filter component. It ensures only unique messages pass through a service by checking the unique ID of incoming messages. There are several ways to achieve uniqueness, including using a simple text file store, which is demonstrated in a sample use case of validating unique user requests. The demonstration shows how to configure the Idempotent Message Filter in a flow to restrict duplicate messages from being processed.
Mule Esb
This document provides an overview of Mule ESB, including its history from mainframe computers to modern SOA and ESB implementations. It covers basics of Mule ESB, advanced topics like flow structure and performance, and tools like Mule Studio and Mule Cloud Hub. The document aims to introduce attendees to Mule ESB fundamentals as well as more advanced concepts.
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 esb
Mule ESB is an open source enterprise service bus that allows for integration, mediation, routing and transformation of events and messages. It uses components like filters, routers and transformers to process messages and make decisions. Mule expressions can access properties of messages to perform logic and transformations. The document demonstrates how to set up Mule Studio and run examples of content-based routing, JMS integration and exception strategies.
Mule ESB
This document discusses software integration challenges and how an Enterprise Service Bus (ESB) and Mule ESB can address them. It describes integration patterns like peer-to-peer and hub-and-spoke. An ESB is middleware that connects applications and services to allow communication. Mule ESB is an open source ESB that supports protocols like JMS, web services, and files. It allows easy integration of existing systems regardless of technology. Examples demonstrate how Mule ESB can be used in a loan broker application.
Mule advanced
Mule messages contain a header and payload. The header includes properties and variables that provide metadata about the message. Properties have inbound and outbound scopes, while variables have flow, session, and application scopes. Transformers can change the type, content, or properties of a message. Splitters break messages into parts that are routed to different endpoints. Aggregators reassemble split messages using correlation properties. Resequencers reorder messages that were processed out of order to put them back in the correct sequence.
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 feature introduced in 2013 simplifies processing massive amounts of data through parallelization, record-based reporting and error handling.
File component in mule demo
The document discusses how to use the File connector in Mule applications to exchange files between a file system and Mule application. The File connector can be used as an inbound endpoint to pick up files from a source location and move them to a destination location, or as an outbound endpoint. An example Mule flow configuration is provided that uses a file inbound endpoint to pick up a file, move it to a destination folder, and write a log message.
ESB introduction using Mule
The document provides an introduction to Mule, an open-source enterprise service backbone. It describes key Mule concepts like staged event-driven architecture (SEDA) and Java NIO, and how Mule uses these concepts to provide a scalable and modular integration platform. It also summarizes core Mule components like endpoints, routers, transformers and how they facilitate message flow and integration. XML examples are provided to demonstrate basic Mule configuration and exception handling.
Mule 3.8
Mule 3.8 unifies the API gateway extensions with the core Mule runtime, simplifying development and operations. It improves error messages to more clearly show where errors occur and debugging capabilities for connectors like HTTP and databases. Mule HA includes new quorum and persistence features to improve resilience and allow backups for recovery from network splits.
Mule esb transformers
Anypoint Studio Transformers helps us to transform the message to required format which helps in easy integration with other systems. You can use in built transformers given by Mule or you can develop a new custom on your own.
Generating Documentation for Mule ESB Application
Mule ESB allows developers to automatically generate documentation for their applications by clicking a button in Anypoint Studio. It will create an HTML page for each configuration file containing a message flow diagram and the XML configuration code. Developers can export the documentation by choosing a flow and specifying an output folder, generating an index.html page that allows browsing each individual flow and its XML code. This documentation can then be hosted on a web server like Tomcat for easy reference.
Database component in mule
The document discusses using the Database component in Mule to connect to a database and execute SQL queries. It provides an example Mule flow that defines a JDBC connection to an MS SQL database, uses the Database connector to run a SELECT query, and logs the results. The flow is triggered by an HTTP request and returns the query results via the response.
Mule database connector
The Database connector allows connecting to relational databases using JDBC and performing SQL operations like select, insert, update, delete, and stored procedures. It supports predefined and dynamic queries, templates, and bulk updates. DataSense uses query metadata to extract message data types for mapping. The DataMapper transformer can automatically map fields when used with a DataSense-enabled Database connector. Supported operations include select, insert, update, delete, stored procedures, bulk execute, and DDL. Configuration requires a Database connector, global connector, and installed driver.
xslt in mule
XSLT is used to transform XML payloads between different forms. In Mule, the XSLT transformer component allows transforming XML payloads using XSLT stylesheets. For example, a flow uses an HTTP inbound endpoint, sets an XML payload, and applies an XSLT stylesheet using the XSLT transformer to output a new transformed XML payload. The XSLT stylesheet matches elements in the input XML and outputs a new structure defined in the stylesheet.
Mule soa
The document discusses how and why the company selected Mule as its service-oriented architecture, providing examples of Mule use cases and best practices learned. It describes evaluating major open source ESB products based on criteria like support and performance. Testing uncovered some issues with Mule 3.1.1 that were quickly resolved by MuleSoft. Examples shown include using Mule as a scalable web application, integrating various data sources, and sending support requests. Best practices discussed include test-driven development, customizing Mule's distribution, and staged migration of systems.
Configuration patterns in mule
This document discusses configuration patterns in Mule, including simple service, web service proxy, bridge, validator, and HTTP proxy patterns. The simple service pattern exposes components like POJOs, JAX-WS services, and JAX-RS services as request-response services. The web service proxy pattern proxies remote web services and can transform SOAP envelopes. The bridge pattern establishes a direct connection between an inbound and outbound endpoint and supports transformations and transactions. The validator pattern validates inbound messages against filters and returns ACK/NACK responses. The HTTP proxy pattern sits between a caller and target resource, propagating HTTP requests and responses. Configuration patterns are designed for ease of use over power for common tasks.
Mule with drools
This document discusses using Drools, a business rules management system, with Mule to execute business rules in applications. It provides an example of creating a simple Mule application that uses a .drl file to define rules to determine a warehouse destination based on a randomly generated weight variable. The application is deployed to a Mule standalone server and the rules are executed by the Drools component to set the destination variable according to the rules.
Mule high availability
Mule clusters consist of 2-8 server instances that act as a single unit. An active-active model allows all servers to support the application simultaneously, unlike an active-passive model where only one primary server is active. To ensure reliability, applications must have zero message loss tolerance and rely on a reliable ESB and connections between clustered nodes. Best practices include organizing steps to move messages transactionally between stores, using distributed stores, and implementing reliability patterns for high reliability apps.
Anypoint data gateway
Anypoint Data Gateway allows users to integrate data from legacy back-office systems like SAP, Oracle, and SQL into Salesforce using a simple visual interface. It supports connecting to various data sources instantly and eliminates the need for separate integration environments or extensive training. The Data Gateway is installed via the Salesforce AppExchange and provides a designer to create and publish gateways to external data sources and view existing source objects.
What's hot (20)
Viewers also liked
Collection Splitter Aggregator in Mule ESB
These slides will describe the developer, How to use the collection splitter and aggregator and the things which we need to consider while using the Collection Splitter and Aggregator.
Mule parsing with json
JSON (JavaScript Object Notation) is a lightweight data format that is easy for humans to read and write and for machines to parse and generate. It is based on JavaScript and commonly used to transmit data in REST web services. This document provides an example of a simple JSON payload formatted as a list with attributes like "category", "author", "title", and "price" repeating for two objects. It then shows how to use Mule to parse this JSON payload by setting it as the payload, transforming it to a list using a JSON transformer, splitting the collection, and logging the attribute values of each object.
Mule parsing with json part2
The document discusses JSON (JavaScript Object Notation) and provides an example of a complex JSON payload in the form of a list. It then shows how to parse this JSON payload in Mule by using a JSON-to-Object transformer to convert the JSON to a Java list, and iterating through the list with a foreach loop to extract and log the values of each component, such as the incident number, type, longitude, and address.
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.
Mule batch job
Mule ESB allows processing of messages in batches. A batch job splits large messages into individual records that are processed asynchronously and in parallel by batch steps. The results are summarized in a report with details on successes and failures. Batch processing is useful for handling large data sets from APIs, databases, or between applications. The main parts of a batch job are the input, loading, processing, and completion phases.
Scatter gather flow in mule
The document discusses scatter-gather flow control in Mulesoft. Scatter-gather sends a request message concurrently to multiple targets and aggregates the responses. It replaces the deprecated all message processor by executing routes in parallel instead of sequentially, improving efficiency. Scatter-gather collects results into a message collection. If a route fails, it sets the exception payload and throws a composite exception mapping failures to routes.
Json to json transformation in mule
This document discusses a simple trick for transforming JSON to JSON in Mule. It shows how to take JSON input and output modified JSON without writing complex transformations. The full post with more details on this JSON to JSON transformation technique in Mule can be found at a specific URL.
Splitting with mule part2
Mule ESB can split a large message into smaller parts using a Splitter flow control component. This allows large messages containing repeating elements, like a list, to be broken into individual fragments that can then be processed separately. The document demonstrates using a Splitter to break up a JSON payload containing an array of "events" into separate logs of each event's ID and timestamp, handling the large list efficiently. Splitters are useful for processing large repeating data in XML or JSON payloads.
Mapping and listing with mule
This document discusses how to define list and map variables in Mule ESB. It shows that lists and maps can be defined as Mule variables by using square brackets and curly braces. Values can then be retrieved from the lists and maps using indexes and keys. Examples are provided to demonstrate defining a list variable, retrieving values from the list, defining a map variable, and retrieving values from the map. The document also includes an example Mule configuration that reassigns list values and logs the new list values.
Mule with composite source
The document discusses how a Mule Composite source scope can listen to multiple inbound endpoints in parallel and trigger a flow when any of the endpoints receive a message. It provides an example flow configuration that uses both a Quartz scheduler endpoint and an HTTP endpoint to trigger the same flow and print a log message. The Choice router is used to detect which endpoint triggered the flow based on the log output. In summary, a Composite source allows a single flow to be triggered from multiple inbound endpoints to perform the same task.
Dynamic file attribute
The document discusses how to dynamically set file connector attributes in Mule at runtime by reading values from a JSON file. It presents a Mule flow that uses a file inbound endpoint to read a JSON file containing folder path, file pattern, and work directory. These values are then parsed and set as variables to configure a file outbound endpoint, which writes the file to the specified location. This allows file connector attributes like path and name to be dynamically determined based on external configuration.
Xml to xml transformation in mule
This document discusses a simple yet amazing trick for transforming XML to XML in Mule. It demonstrates how to take an XML payload and transform it to a new XML structure without writing any complex transformation logic. The full post with more details on this XML transformation technique in Mule can be found at a specific URL.
Simple groovy example in mule
This document shows how to use a Groovy scripting component to hold a Mule flow for a period of time before processing the payload. The Groovy component uses the sleep method to pause the flow for 3000 milliseconds. This holds the file payload before writing it to the outbound location. The example flow uses a file inbound endpoint to pick up a file, passes it to the Groovy component which sleeps for 3 seconds, and then writes the file to the outbound location. This allows dynamically pausing a flow to hold the payload for a specified interval of time.
Mule splitters
The document discusses different types of routers and splitters in Mule flows. It explains that splitters split messages to be processed in parallel, then aggregated. It provides examples of a collection splitter splitting a list object, with each item routed to another flow and resequenced before aggregation. A message chunk splitter chunks a message into fixed-size segments, routing each to another flow before aggregation. Scatter-gather is also described as sending a message to multiple endpoints concurrently and aggregating the responses.
Mule Choice component
The document describes how to use the Choice component in Mule applications to conditionally route messages based on message properties or payload values. It provides an example Mule flow that sets a session property, logs it in two flows, and uses the Choice component in the second flow to check the session property value and route the message accordingly. The Choice component allows conditional logic similar to if/else statements.
Spicing your mule response
The document discusses using a parse template component in Mule to customize HTTP responses. It shows how to create an HTML template file, add it to the Mule project resources, and reference it in a Mule flow to parse the payload and return a customized HTML response. The example flow uses a parse template component after a set payload component to parse an HTML template file that displays the payload within HTML tags. Hitting the HTTP endpoint URL now returns a formatted HTML response instead of a plain text one.
Creating restful api using mule esb
Jersey is an open source framework that allows developers to easily create RESTful web services in Java. It implements JAX-RS APIs and supports exposing data in different formats. In Mule, a REST component can be added to a flow to enable RESTful services. Java classes are used to annotate REST methods and endpoints. Parameters passed in the URL are mapped to methods using annotations like @Path and @GET to retrieve and return data.
Using XSLT in Mule
XSLT (Extensible Stylesheet Language Transformations) is a language used to transform XML documents into other formats like other XML documents, HTML, text, etc. It can be used in Mule to transform an XML payload from one structure to another. For example, a Mule flow gets an XML payload, passes it through an XSLT transformer using an XSL stylesheet, which transforms the XML to a new structure and outputs the transformed XML payload.
Creating dynamic json
This document discusses how to dynamically generate a JSON payload in a Mule flow. It provides an example of creating a JSON payload with specific fields and values, and using an expression transformer to generate this JSON within a flow. The generated JSON is then sent to an external service, which returns a response. The example shows how flow variables can be used to set the JSON field values, and logging is used to view the request and response.
Basic example using file connector in anypoint studio
The document discusses using the File connector in Anypoint Studio to exchange files between a Mule application and file system. The File connector can be used as an inbound or outbound endpoint and implements a one-way exchange pattern. An example configuration is provided to poll a directory for files, read the file contents, and write the contents to the logs.
Viewers also liked (20)
Basic example using file connector in anypoint studio
Basic example using file connector in anypoint studio
Similar to Splitting with mule
Mule xml transformation
This document discusses how to transform an XML payload into a different XML format using XSLT in Mule. It provides an example of an input XML payload and desired output with an additional element. It then shows a Mule flow using an XSLT transformer to modify the input XML by adding the new element, with the value passed from a variable. Testing confirms the transformed XML payload is output as expected.
Mule anypoint b2 b
Anypoint B2B enables customers to connect to trading partners using EDI over various protocols using Mule. It includes an EDI module for reading, writing, and validating EDI messages along with pre-packaged schemas. It also includes connectors for AS/2, FTPS, and a B2B portal for trading partner management and message tracking. Anypoint B2B requires Mule 3.6.0 and Anypoint Studio from March 2015.
Mule B2B
Anypoint B2B enables customers to connect to trading partners using EDI over various protocols using Mule. It includes an EDI module for reading, writing, and validating EDI messages, AS/2 and FTPS connectors, and a B2B portal for trading partner management and message tracking. Anypoint B2B requires Mule 3.6.0 and Anypoint Studio March 2015 release.
Anypoint b2 b
Anypoint B2B enables customers to connect to trading partners using EDI over various protocols using Mule. It includes an EDI module for reading, writing, and validating EDI messages along with connectors for AS/2, FTPS, and a B2B portal for trading partner management and message tracking. Anypoint B2B requires Mule 3.6.0 and Anypoint Studio March 2015 release.
Mule b2 b
Anypoint B2B enables customers to connect to trading partners using EDI over various protocols using Mule. It includes an EDI module for reading, writing, and validating EDI messages along with connectors for AS/2, FTPS, and a B2B portal for trading partner management and message tracking. Anypoint B2B requires Mule 3.6.0 and Anypoint Studio March 2015 release.
Biztalk
Microsoft BizTalk Server is used to connect disparate systems through messages. It was first released in 2000 and has continued to add new features with each release. The basic configuration of BizTalk Server involves setting up the Enterprise Single Sign-On, databases, BizTalk runtime, and other components. Key components include the BizTalk Editor for creating schemas, Mapper for mapping data between schemas, and Administration Console for managing applications.
Xml transform
This document discusses using XSLT to transform XML payloads in Mule applications. It provides an example of transforming an input XML payload containing name and id elements to an output XML payload that adds a designation element. The Mule flow uses an XSLT transformer applied to the input XML, along with an XSL stylesheet, to produce the modified output XML payload. Testing the flow by deploying it and sending a request demonstrates how XSLT can easily transform XML payloads in Mule.
XML Introduction
The document provides an introduction to XML. It discusses what XML is, including that it is a markup language used to describe data, it is self-descriptive, and it does not define tags. It also discusses why XML is used, noting that it keeps data separate from layout, allows automatic data management and exchange, and can define new data formats. Finally, it provides an example of a basic XML file describing computer parts to illustrate XML structure and elements.
Componenets of osb12c
The document discusses various components available in Oracle Jdeveloper12c and Oracle Service Bus including:
- Pipeline and Split Join components that define message routing logic. A Split Join splits a message payload into multiple messages that can be processed concurrently.
- Technology components like AQ, MQ, MSMQ, REST, and WS that enable integration with different technologies.
- Application components like JDE World, Oracle, and SAP that allow integration with enterprise applications.
- Advanced components like BPEL, EJB, JCA, JMS, and SFTP that provide additional integration capabilities.
PuppetCamp - How Puppet helped us to standardize, communicate and work together
Where we were coming from, which problems puppet solved and which new problems puppet introduced and how we solved them. (we have at least 15 different data centers, with thousands of servers)
How to manage a large repo with many puppet admins
How important is it to automate your puppetmasters as well
How to coordinate when changes are actually pushed to the clients
Why we built Gini, and how those ideas became Foreman.
Critical spare parts mail notification system for lg
This document describes a Critical Spare Parts Mail Notification System (CSPMNS) software created by Waltrump Technology. The software automatically emails a critical spare parts list to notify those responsible when inventory levels drop. It was designed using Microsoft technologies like .NET and uses an Oracle database. The system allows users to update inventory statuses, view histories, and set multiple email recipients for notifications. It also includes modules for managing email settings and user authentication/authorization.
InforUMobile SMS API
This document provides information about an SMS gateway API, including how to send SMS messages using HTTP POST requests or a web service interface. It describes the XML structure for simple and advanced requests, how to send multiple requests, and the response XML structure. It also covers additional features like delivery notifications, receiving SMS, tools for deleting messages and checking quotas/blocks. Code samples are provided for C#, PHP, and VB for sending SMS using the HTTP POST method.
MuleSoft Surat Live Demonstration Virtual Meetup#3 - Building JWT OAuth 2.0 C...
MuleSoft Surat Live Demonstration Virtual Meetup#3 - Building JWT OAuth 2.0 Connector With MuleSoft XML SDK
IS Untangle Agile IT Management On-Demand
IS Untangle is a software solution created by an IT manager to simplify managing IT teams and projects. It combines essential modules like project management, task tracking, reporting, and more. The software centralizes work around a task manager while linking all other modules. It provides tools for tasks like time tracking, software quality assurance testing, and inventory management to help IT departments improve productivity, control costs, and ensure successful project delivery.
Scatter gather flow in mule
Scatter-gather flow in Mule executes routes concurrently rather than sequentially, improving efficiency. It sends a request message to multiple targets at once, then collects and aggregates their responses into a single message. For example, a scatter-gather flow can process two subflows concurrently and merge their payloads at the end. Configuring scatter-gather involves adding a scatter-gather processor followed by multiple message processors or flow references to define the concurrent routes.
InforUMobile UK SMS API
The document describes an API for sending SMS messages through HTTP requests. It provides examples of XML structures for simple, advanced, and multiple requests. It also covers response XML, code samples for HTTP post in C#, PHP and VB, and additional parameters like delivery notifications, message character limits, and tools for checking quotas and blocking numbers.
componenets of osb12c
A document discusses various Oracle Service Bus components including pipelines, split joins, static split joins, dynamic split joins, and technologies like AQ, MQ, MSMQ, REST, SB, Socket, Tuxedo, UMS, WS, AS/400, BAM, Coherence, databases, direct, file, FTP, HTTP, JEJB, JMS Transport, and LDAP. Pipelines route and process messages, split joins split payloads and aggregate responses. Static split joins have a fixed number of branches while dynamic split joins have a variable number based on payload contents.
InfoSMS API for Sending SMS
The document provides instructions and code samples for sending SMS messages using the Inforu SMS Gateway API in 3 sentences:
It describes the HTTP POST interface for sending SMS messages with XML requests, including simple and advanced XML examples and describes the response XML structure. Code samples are provided in C#, PHP, and VB for sending SMS messages by constructing an XML request and posting it to the API URL. The document also covers additional features like sending messages at a later time, delivery notifications, and receiving SMS.
API למפתחים לערוץ SMS במערכת InforUMobile
This document provides instructions and examples for using the Inforu SMS Gateway Interface to send SMS messages programmatically. It describes:
- Sending SMS using a simple or advanced HTTP POST request with an XML payload.
- XML structures for specifying sender/recipient details, message content, and optional parameters like delivery notifications or scheduled sending times.
- Code samples for HTTP POST requests to the SMS gateway in C#, PHP, and VB.
- Additional SMS gateway APIs and features like receiving SMS, checking quotas/blocking numbers, and deleting future messages.
Mulesoft ppt
This document discusses Mule ESB, including its components and scenarios for use. Mule ESB is a lightweight Java-based enterprise service bus that allows developers to quickly connect and exchange data between applications. It contains three main components - the Package Explorer, Palette, and Canvas. The Palette contains connectors, transformers, and filters that can be dragged onto the Canvas to graphically create integration flows. Several example scenarios are provided, such as picking up an XML file from FTP and placing it in a JMS queue, invoking a web service using a scheduler, and sending email alerts for exceptions.
Similar to Splitting with mule (20)
PuppetCamp - How Puppet helped us to standardize, communicate and work together
PuppetCamp - How Puppet helped us to standardize, communicate and work together
Critical spare parts mail notification system for lg
Critical spare parts mail notification system for lg
MuleSoft Surat Live Demonstration Virtual Meetup#3 - Building JWT OAuth 2.0 C...
MuleSoft Surat Live Demonstration Virtual Meetup#3 - Building JWT OAuth 2.0 C...
More from Anirban Sen Chowdhary
Change the game with Game changer
RingCentral is an award-winning cloud-based communications system with a large developer community called "Game Changer" that connects developers, users, and customers. Through Game Changer, developers can interact, help each other, share ideas, and participate in activities to learn about RingCentral's products and APIs while earning points and rewards. The platform aims to learn and contribute to the community in a fun way.
Some basics with ring central
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Ring central and python
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
RingCentral application development overview
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Cloze connect ringcentral
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Overview on ring central errors part 4
The API allows 10 heavy, 40 medium, 50 light requests per user and 5 authorization requests; exceeding these thresholds will result in a 429 Too Many Requests HTTP error code. The document discusses that when requests begin exceeding limitations, servers commonly return responses with a 429 status.
Setting up your ring central sandbox in steps
RingCentral provides a sandbox environment for developers to test and build applications using its APIs. The summary outlines 5 steps to set up a RingCentral sandbox account:
1) Get a developer account on the RingCentral developer portal.
2) Log into the developer account and locate the sandbox account details.
3) Set the password for the sandbox account and log into the online account portal.
4) Create a test application on the developer dashboard by selecting the platform and feature to access via APIs.
5) The application API key and secret can then be used to test the application using the RingCentral APIs.
Overview on ring central errors: part 2
This document discusses server errors that can occur in the RingCentral application programming interface (API). Server errors have an HTTP status code in the 50x range and can be difficult to diagnose without access to server logs. Common causes include high traffic or maintenance. If the error persists, the RingCentral developer support team can investigate server logs to resolve the issue.
Overview on ring central errors
RingCentral offers communication services like VoIP calling, web meetings, and fax through a secure cloud phone system. Creating RingCentral applications is easy and can be done within minutes by logging into the RingCentral developer account. Once created, applications can access RingCentral APIs based on permissions and features. The RingCentral API uses specific error codes to simplify error processing for client applications. There are different categories of errors like server errors (HTTP 50x), authentication errors (HTTP 40x), and rate limiting errors (HTTP 429).
Call recording overview ring central
RingCentral provides call recording capabilities that allow recordings to be retrieved and streamed via their API. This enables uses cases like analyzing recordings to enhance customer interactions. RingCentral's call recording APIs support streaming playback of recordings using HTML5 audio tags without needing to download the file. Automatic call recording is not turned on by default and must be enabled in the account settings.
Ring central engaging with amazon alexa
RingCentral is integrating with Amazon Alexa to allow users to access RingCentral's communication services like voip calling, meetings, and faxes using voice commands with Alexa. This integration allows users to start and control RingCentral meetings, send messages, and make calls just by talking to Alexa. The integration authenticates users with voice recognition and securely connects RingCentral services with Alexa's voice assistant capabilities.
How ring central sdk changing the game
RingCentral provides communication services like voice calls, SMS, fax, and online meetings through their APIs. They have SDKs available for many programming languages to make it easy for developers to integrate these services into their applications. The RingCentral SDKs handle tasks like authorization and provide helper functions for working with API requests and responses. This allows developers across different platforms and languages to quickly add powerful communication capabilities to their applications.
When ring central connect salesforce
RingCentral integrates with Salesforce to provide seamless communication capabilities within the CRM. This improves customer retention, agent productivity, and business processes. The integration empowers the Salesforce system with RingCentral phone features and creates a more collaborative CRM experience. It allows users to create accounts, leads, contacts, and opportunities while on calls through a 360-degree view of customers. The integration is available on all browsers and devices and provides customized reports and dashboards along with accurate call and SMS logs to enhance the CRM experience.
Mule 4 connecting ring central
The document describes how to connect RingCentral APIs to send SMS messages using Mulesoft Mule 4. It involves creating a Mule application with a flow containing an HTTP listener, payload transformer, and HTTP request to call the RingCentral send SMS API. The flow first calls the RingCentral authorization API to get an access token, stores it in a variable, and passes it in the header when calling the send SMS API. This allows the application to authenticate and send SMS texts via the RingCentral API using Mule 4.
Ring central sdk
RingCentral exposes powerful communication APIs that allow sending messages via SMS, fax, or call from applications integrated with RingCentral. It provides SDKs for languages like Java, PHP, Python, and JavaScript to facilitate API access and handle authentication. The SDKs package RingCentral's API functionality into easy-to-use libraries for each language and handle tasks like token management. This allows developers across platforms and languages to quickly build communication features into their applications.
Ring central with okta
RingCentral and Okta integrate to provide secure single sign-on and identity management for RingCentral users. This allows users to access their RingCentral phone numbers from any mobile device securely. New users created in an organization's Active Directory will be automatically provisioned to RingCentral. The integration provides enterprise single sign-on so users only need to authenticate once to access multiple applications. It improves security, efficiency and simplicity by reducing the need for multiple credentials across different applications.
Ring central connecting salesforce overview
RingCentral is a leading cloud-based communication system that integrates with Salesforce to improve customer retention, agent productivity, and business processes. The integration allows users to create and manage Salesforce records while on calls through RingCentral, providing a 360-degree view of customers. It seamlessly connects the phone system and CRM for improved workflows and increased productivity.
Ring central call logs overview (part 2)
The document discusses RingCentral call logs and APIs. It provides the API URL to access call logs and notes that there is typically a 30 second delay before completed call details are available. It also mentions an API to access active/in-progress calls and that call log and call recording permissions are required. Finally, it notes administrators can enable/disable call log delivery and permissions.
More from Anirban Sen Chowdhary (20)
Recently uploaded
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Operating System Used by Users in day-to-day life.pptx
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Recently uploaded (20)
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Operating System Used by Users in day-to-day life.pptx
Operating System Used by Users in day-to-day life.pptx
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Splitting with mule
- 1. By Anirban Sen Chowdhary
- 2. Mule ESB has the ability to split a long and big message into small parts. It can be done by Mule Splitter . The Splitter Flow Control splits a message into separate fragments, then sends these fragments one at a time to the next message processor in the flow. So, ultimately Splitter a breaks a huge and large message into small part and that small part can be handled individually
- 4. Let us consider we have following XML data as input:- <AllProduct> <productsList> <product> <productid>1</productid> <productname>car</productname> <productDesc>accessioes</productDesc> </product> <product> <productid>2</productid> <productname>watch</productname> <productDesc>accessioes</productDesc> </product> <product> <productid>3</productid> <productname>Bike</productname> <productDesc>accessioes</productDesc> </product> </productsList> </AllProduct>
- 5. Now, we want to Split this XML into smaller part and log all the productid and productname So, in this case we will be splitting the xml and log all the productid and productname in console
- 6. So, you can see we have used Mule Splitter component to split the input XMl
- 7. The Mule config will be :- Please note, we are using XPATH 3 to retrieve the value of nodes here. To know more about XPATH 3 please visit :- http://www.mulesoft.org/documentation/display/current/XPath
- 8. So, if we test the example and post the input XML as following in the url http://localhost:8085/test in a REST client :-
- 9. And we will get all the values of productid and productname in the logger along with the total node count :-
- 10. So, here you can see how to use a Mule splitter and split the large payload into smaller independent value. It’s pretty simple and effective in handling larges set of data
- 11. 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