Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
I have almost default values on it, except ingress values for console, and custom docker image for connectors.
Dockerfile:
FROM redpandadata/connectors:v1.0.26
LABEL version=mongodb-kafka-connect:v1.0.5
COPY mongo-kafka-connect-1.13.0-all.jar /opt/kafka/redpanda-plugins/mongodb-kafka-connect/mongo-kafka-connect-1.13.0-all.jar
After helm install redpanda -n redpanda, everything is up
k get pods -n redpanda
NAME READY STATUS RESTARTS AGE
redpanda-0 2/2 Running 0 118m
redpanda-1 2/2 Running 0 118m
redpanda-2 2/2 Running 0 118m
redpanda-connectors-65b5595784-wtqkt 1/1 Running 1 (118m ago) 118m
redpanda-console-8598665998-x9zww 1/1 Running 0 115m
When i open Connectors tab in Redpanda console, i see available connectors.
After I create any of the Mongodb connectors, it is created, but it is not in the interface. The logs in pod show the following error
│ {"level":"warn","ts":"2024-10-14T17:05:19.753Z","msg":"failed to list connectors from Kafka connect cluster","cluster_name":"connectors","cluster_address":"http://redpanda-connectors.re │
│ dpanda.svc.cluster.local:8083","error":"Get \"http://redpanda-connectors.redpanda.svc.cluster.local:8083/connectors?expand=info&expand=status\": context deadline exceeded"} │
│ {"level":"warn","ts":"2024-10-14T17:05:19.917Z","msg":"failed to list connectors from Kafka connect cluster","cluster_name":"connectors","cluster_address":"http://redpanda-connectors.re │
│ dpanda.svc.cluster.local:8083","error":"Get \"http://redpanda-connectors.redpanda.svc.cluster.local:8083/connectors?expand=info&expand=status\": context deadline exceeded"} │
│ {"level":"warn","ts":"2024-10-14T17:06:14.084Z","msg":"failed to list connectors from Kafka connect cluster","cluster_name":"connectors","cluster_address":"http://redpanda-connectors.re │
│ dpanda.svc.cluster.local:8083","error":"Get \"http://redpanda-connectors.redpanda.svc.cluster.local:8083/connectors?expand=info&expand=status\": context deadline exceeded"} │
│ {"level":"warn","ts":"2024-10-14T17:13:17.970Z","msg":"failed to list connectors from Kafka connect cluster","cluster_name":"connectors","cluster_address":"http://redpanda-connectors.re │
│ dpanda.svc.cluster.local:8083","error":"Get \"http://redpanda-connectors.redpanda.svc.cluster.local:8083/connectors?expand=info&expand=status\": context deadline exceeded"} │
│ {"level":"warn","ts":"2024-10-14T17:13:18.138Z","msg":"failed to list connectors from Kafka connect cluster","cluster_name":"connectors","cluster_address":"http://redpanda-connectors.re │
│ dpanda.svc.cluster.local:8083","error":"Get \"http://redpanda-connectors.redpanda.svc.cluster.local:8083/connectors?expand=info&expand=status\": context deadline exceeded"}
But when I go into Redpanda console pod and do curl http://redpanda-connectors.redpanda.svc.cluster.local:8083/connectors?expand=info&expand=status, the list of connectors is visible.
Hey @arthurfedorov ,
could you show us the Kafka connect config in Console? I think I've seen a similar case where a timeout of 0 was used which meant the request immediately times out as soon as it was sent.
Hi everyone, first of all, i just want to say thanks for the cool service.
Deployed by helm chart Redpanda appVersion: v24.2.2 Redpanda console appVersion: v2.4.6
I have almost default values on it, except ingress values for console, and custom docker image for connectors. Dockerfile:
After
helm install redpanda -n redpanda
, everything is upWhen i open Connectors tab in Redpanda console, i see available connectors.
After I create any of the Mongodb connectors, it is created, but it is not in the interface. The logs in pod show the following error
But when I go into Redpanda console pod and do
curl http://redpanda-connectors.redpanda.svc.cluster.local:8083/connectors?expand=info&expand=status
, the list of connectors is visible.Can you please tell me where I made a mistake?