I have applied the curl statement to create a Splunk Kafka connector which is working, but how do I list all the connectors who are running at the moment?
For example, this curl connector's name is "test" but I have 4 others and I forgot the names.
In the previous blog post about HTTP Bridge, we introduced the new Strimzi HTTP bridge component.Using the bridge, it is possible to interact with an Apache Kafka cluster through the HTTP/1.1 protocol instead of the native Kafka protocol.We already covered how simple it is to deploy the bridge through the new KafkaBridge custom resource and via the Strimzi Cluster Operator.We also covered all the REST endpoints that the bridge provides as an API for consumers and producers.In this blog post we are going to describe how to expose the bridge outside of the Kubernetes (or OpenShift) cluster, where it is running alongside the Kafka cluster.We will also show real examples using curl commands.
Apache Kafka supports message publishing through REST too. We can use Kafka REST proxy for this purpose. It supports http verbs including GET, POST and DELETE. Her is an example POST using curl which we will be trying to dissect throughout this post:
As command is executed the response is returned. Since we are using curl, it would simply be printed to console. The response has details including the offset (plus partition) and key / value schema IDs.
In this tutorial, you will always connect to Kafka from within a Docker container.Any of these containers can communicate with the kafka container by linking to it.If you needed to connect to Kafka from outside of a Docker container,you would have to set the -e option to advertise the Kafka address through the Docker host(-e ADVERTISED_HOST_NAME= followed by either the IP address or resolvable host name of the Docker host).
Kafka Connect exposes a REST API to manage Debezium connectors.To communicate with the Kafka Connect service,you can use the curl command to send API requests to port 8083 of the Docker host (which you mapped to port 8083 in the connect container when you started Kafka Connect).
As many UNIX tools, the output of curl depends upon what type of device stdout is attached to. In this case, piping the ourput through jq changes the type from TTY to pipe, resulting in unwanted additional output.
I've simplified my requests down to the most basic level I can, and the
issue still occurs. Testing has been done with the Postman extension in
Chrome. But I've converted my posts to curl requests to help anyone who
might want to try this on Linux. The Base64 file is a .txt file with some
English text from the BBC News site.
I've simplified my requests down to the most basic level I can, and the issue still occurs. Testing has been done with the Postman extension in Chrome. But I've converted my posts to curl requests to help anyone who might want to try this on Linux. The Base64 file is a .txt file with some English text from the BBC News site.
First, we will install a Kafka custom resource definition (CRD) and role-based access control (RBAC) on a dedicated project named kafka. Then, we'll install a Kafka cluster in the project, which we'll name my-kafka-cluster.
Usually, the content type is application/vnd.kafka.json.v2+json, but it's also available as application/vnd.kafka.binary.v2+json for the binary data format. A Base64 value is expected if you use the binary data format.
Setting the log level of an ancestor (for example, org.apache.kafka.connect as opposed to a classname) will update the levels of all child classes. Any levels previously set by this API will also be overridden.
The above call returns org.apache.kafka.connect.runtime.WorkerSinkTask and org.apache.kafka.connect.runtime.WorkerSourceTask because they fall under the specified ancestor. If no name parameter is present, this API will set the log level of the root logger.
To remove the kafka-logger Plugin, you can delete the corresponding JSON configuration from the Plugin configuration. APISIX will automatically reload and you do not have to restart for this to take effect.
The following example shows how to reset offsets for a kafka supervisor with the name social_media. Let's say the supervisor is readingfrom a kafka topic ads_media_stream and has the stored offsets: "0": 0, "1": 10, "2": 20, "3": 40.
After killing the broker some replicas will go offline, which you can see by calling the kafka_cluster_state?verbose=true API. At this point we can use the API like this to trigger the repairing process:
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