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Camunda kafka connector

All face the problem that they need an orchestration engine in their microservice architecture — or simply want to leverage workflow, ordering of activities, handling of timeouts, Saga and compensationor other cool features. Developer friendliness is one of the key values behind the product — but as soon as you dive into the documentation you might get the impression that it is mostly Java specific developer friendliness.

The platform provides tons of hooks to plug in your own functionalities and extensions but all this is done in Java. So are other techies locked out? Actually it is easy to run Camunda without any Java knowledge and set up an architecture to code in the language of your choice. This blog post. It can be graphically modeled using the Camunda Modeler. The easiest way to run Camunda is using Docker. Alternative ways of running Camunda are described later in this article.

In the simplest case just run:. The Dockerfiles and some documentation e.

Camunda Connector Reference

There is one downside of this approach though: You get a tomcat version distributed by Camunda which might not always include the latest patches. So you can also build the docker image yourself basing on a proper Tomcat distribution like shown in this example. Or you follow one of the alternatives described later.

Expressed as BPMN it looks like the following:. Assume you saved it with the name trip. Now, the next interesting question is: How does Camunda call services like the car reservation? Camunda can not only call services right away Push-Principle using some built-in connectorsbut also put work items into a kind of built-in queue.

So first you fetch tasks and lock them for you as other workers might fetch at the same time to scale your system :. And tell Camunda the worker has completed its work note that you have to enter the external task id you retrieved in the first request :.

You might also want to take a minute to read about why it is important to think about idempotency when using Camunda via REST. And we already tackled enough to get started! Http and Newtonsoft. Json to do so. But it might get verbose. So you might want to hide the REST details behind some client library.

At the moment there are a couple of pre-built client libraries available:. Except JavaScript and Java the client libraries are not part of the Camunda product itself. Using the client library above we can simply write:. As an alternative to the pre-built Docker image from Camunda you could also prepare Tomcat yourself e. Here you find an example doing so as a Dockerfile.

If you have extensive additional requirements and are capable of setting up a Java build environment, you can even customize this Camunda standalone war. Therefore setup a Maven build like in these example: Maven build reconfiguring the war or Maven build with Overlay.

The other alternative is to simply download the Camunda Tomcat distributionunzip it — and run it. If you now want to change database or the-like, you need to configure Tomcat as described in the docs.

I know that Tomcat might give you a hard time, but it is actually very straightforward to get going.This document provides information about how to get started with Kafka Connect. You should read and understand Kafka Connect Concepts before getting started. The following topics are covered in this document:. Kafka Connect has only one required prerequisite in order to get started; that is, a set of Kafka brokers.

These Kafka brokers can be earlier broker versions or the latest version.

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See Cross-Component Compatibility for details. Even though there is only one prerequisite, there are a few deployment options to consider beforehand. Understanding and acting on these deployment options ensures your Kafka Connect deployment will scale and support the long-term needs of your data pipeline.

Although Schema Registry is not a required service for Kafka Connect, it enables you to easily use Avro as the common data format for the Kafka records that connectors read from and write to. This keeps the need to write custom code at a minimum and standardizes your data in a flexible format. You also get the added benefit of schema evolution and enforced compatibility rules. Connectors and tasks are logical units of work and run as a process. This process is called a worker in Kafka Connect.

There are two modes for running workers: standalone mode and distributed mode.

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You should identify which mode works best for your environment before getting started. Standalone mode is useful for development and testing Kafka Connect on a local machine.

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It can also be used for environments that typically use single agents for example, sending web server logs to Kafka. Distributed mode runs Connect workers on multiple machines nodes. These form a Connect cluster.

Kafka Connect distributes running connectors across the cluster. You can add more nodes or remove nodes as your needs evolve. Distributed mode is also more fault tolerant. If a node unexpectedly leaves the cluster, Kafka Connect automatically distributes the work of that node to other nodes in the cluster.

camunda kafka connector

And, because Kafka Connect stores connector configurations, status, and offset information inside the Kafka cluster where it is safely replicated, losing the node where a Connect worker runs does not result in any lost data. Distributed mode is recommended for production environments because of scalability, high availability, and management benefits.

Connect workers operate well in containers and in managed environments, such as Kubernetes, Apache Mesos, Docker Swarm, or Yarn.With the optional dependency camunda-connectthe process engine supports simple connectors.

Currently the following connector implementations exist:. As Camunda Connect is an optional dependency, it is not immediately available when using the process engine. With a pre-built distribution, Camunda Connect is already preconfigured.

For integration with the engine, the artifact camunda-engine-plugin-connect is needed. Given that the BOM is imported, the Maven coordinates are as follows:. To avoid conflicts with other versions of these dependencies, the dependencies are relocated to different packages. ConnectProcessEnginePlugin that can be registered with a process engine using the plugin mechanism.

For example, a bpm-platform. To use a connector, you have to add the Camunda extension element connector. The connector is configured by a unique connectorIdwhich specifies the used connector implementation. The ids of the currently supported connectors can be found at the beginning of this section. The required input parameters and the available output parameters depend on the connector implementation.

Additional input parameters can also be provided to be used within the connector. A complete example can be found in the Camunda examples repository on GitHub. Camunda Docs. BPM Platform 7. Options Version: latest 7. Edit on Github. The following connect artifacts exist: camunda-connect-core : a jar that contains only the core Connect classes.

In addition to camunda-connect-coresingle connector implementations like camunda-connect-http-client and camunda-connect-soap-http-client exist. These dependencies should be used when the default connectors have to be reconfigured or when custom connector implementations are used.

When using a pre-built distribution of Camunda BPM, the plugin is already pre-configured.

From Zero to Hero with Kafka Connect by Robin Moffatt

Check out our open positions.With Zeebe. We face a lot of customer scenarios where Zeebe needs to be connected to Apache Kafka or the Confluent Platform. A relatively easy but clean way to integrate with Kafka is Kafka Connect. For a proof-of-concept, I implemented a prototypical connector:.

An example can be found in the flowing-retail sample application. The sink will forward all records on a Kafka topic to Zeebe see sample-sink. In a workflow model, you can wait for certain events by name extracted from the payload by messageNameJsonPath :.

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The source can send records to Kafka if a workflow instance flows through a certain activity sample-source. One assumption for the prototype is that all messages contain plain JSON without a schema.

For now, the connector cannot process anything else like e. Avro messages but this would be easy to extend. One important detail is the message id for Zeebe, which is constructed out of the Kafka Partition and Offset.

This makes the id unique for every record in the system.

camunda kafka connector

Zeebe is capable of idempotent message sending. This means that whenever you resend a message to Zeebe, it will not be processed again. This makes me very relaxed in the connector, as I do not have to bother with consistency: Kafka Connect assures at least once delivery meaning, whenever there is an exception or crash during the put method, the record will be processed later on again and Zeebe can deal with duplicate messages. Kafka Connect requires polling new data to ingest into Kafka.

Now Zeebe itself is build on modern paradigms and provides a streaming API. It is not possible yet to poll for tasks. So I opened a Zeebe subscription to collect all Zeebe jobs that needs to be done in a in-memory queue. This queue is then worked on by Kafka Connect and the job is completed right after. Every job is locked for a short timeout 5 seconds at the moment. After Kafka Connect has created the record, it calls a commit method which then completes the task in Zeebe.

If the job does not get processed because of a crash, it will be re-executed automatically, so we apply at-least-once semantics for the creation of records. The record gets a payload with a JSON string of the payload contained in the Zeebe process, which is configurable via Input Mappings of the workflow definition:.

This connector is just a proof of concept and the code might serve as a starting point for your own project. We regularly discuss having a proper connector as part of the Zeebe project.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again.

HTTP Connector

Please see the official documentation for more information. The source files in this repository are made available under the Apache License, Version 2. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Sign up. Java Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit Fetching latest commit…. Contributing camunda Connect is licensed under the Apache 2. License: The source files in this repository are made available under the Apache License, Version 2.

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You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Jan 7, Feb 11, Sep 14, Nov 7, Apr 10, Jan 23, Apr 8, In Connect a Connectors class exists which automatically detects every connector in the classpath. Accordingly, it supports the same configuration options. If you want to reconfigure the client going beyond the default configuration options, e.

To enable auto detection of your new configurator please add a file called org. For more information see the extending Connect section. Besides the configuration methods also a generic API exists to set parameters of a request. The following parameters are available:. Besides the response methods a generic API is provided to gather the response parameters. Camunda Docs. BPM Platform 7. Options Version: latest 7. Edit on Github. Custom Configuration If you want to reconfigure the client going beyond the default configuration options, e.

camunda kafka connector

CloseableHttpClient; import org. HttpClients; import org.

Camunda Cloud: The why, the what and the how

AbstractHttpConnector; import org. A simple GET request: http. The following parameters are available: Parameter Description statusCode Contains the status code of the response headers Contains a map with the HTTP headers of the response response Contains the response body This can be used as follows: response.

Check out our open positions.Camunda Cloud was announced at the recent CamundaCon in Berlin. It provides Workflow as a Service based on the open source project Zeebe. In this post I want to quickly explain why I think cloud is here to stay, but foremost look into two sample use cases and how you can leverage Camunda Cloud to solve them: microservices orchestration and serverless function orchestration.

I personally liked Forget monoliths vs. Cognitive load is what mattersand used that for my keynote at the above-mentioned CamundaCon. This, then, is your maximum capacity:. In a typical environment, a lot of time will go into the undifferentiated heavy lifting to get your infrastructure right. Tasks like creating deployments, images or containers, environment specific configurations, deployment scripts, and so forth. My personal aha moment occured when I was full of excitement around Kubernetes and wanted to leverage it to do a proper benchmark and load test on Zeebe.

What followed was a painful process of creating the right Docker images, understanding Kubernetes specifics, Helm charts and some shell scripting which even led me to get to know the Linux subsystem of my Windows 10 machine OK — I am actually grateful for that — but it took quite some time.

OK, that all was long before there was zeebe-kubernetes or zeebe-helmso it would be much easier today. What we do want is to concentrate on business logic most of the time :. And here is one:. Camunda Cloud is the umbrella for a couple of Camunda products provided as a Service, think of it as WaaS Workflow as a Service —but be sure this will not be a term though.

As always, Camunda takes an incremental approach. In the first iteration, you get Zeebe as a workflow engine. More concretely, you can log into your cloud console and create a new Zeebe cluster:. You can see the health of your cluster and all endpoint information in this console including necessary security tokens — allowing you to start developing right away. In order to work with the workflow engine you can:.

Of course, you can also leverage other components of the Zeebe ecosystem, for example the Kafka Connector. Best follow this Getting Started Guide right away. A common use-case for a workflow engine is orchestrating microservices to fulfill a business capability.

I often use a well-known domain to visualize this: order fulfillment. You can imagine that various microservices are required to fulfill a customer order, connected via Zeebe:. Of course, you are not forced to use Zeebe as the transport between your microservices — you might want to leverage your existing communication transports — like REST, Kafka or messaging. In this case, the workflow looks more or less the same, but only one microservice knows of Zeebe, and has some code to translate between workflow tasks and Kafka or the like:.

To play around with it, you can use this code on GitHub:. You just have to exchange the configuration of the Zeebe client, here is an example:. Here is a screen cast walking you through it:. If you are serverless you might build a lot of functions. A key question will be how to coordinate functions that depend on each other. Now you want to provide a function to book whole trips, which need to use the other functions.

Instead of hard coding the function calls in your trip booking function, you can leverage a workflow to do this.

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The workflow is like any other external client in this case.


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