Comments (1)
I can't see anything immediately wrong with the code. Is it possible that the producer delivery channel is getting too full and causing some sort of memory issue? You could try draining it from within a goroutine rather than later. What is the number of brokers in your test cluster, and what are the resource limits on the machine you're running this program on?
Is it possible to profile the cpu/memory usage of the program as it runs?
from confluent-kafka-go.
Related Issues (20)
- Add error handling for SubscribeTopics function call in consumer_example.go
- High memory usage with the `kafka.consumer`
- Increased memory usage with GetMetadata call
- Build fails on arm64 architecture HOT 1
- Feature Request: Support to specify `RecordNameStrategy`
- Subscribed topic not available even though it's already created HOT 7
- Failed to build confluent-kafka-go on arm64 machine. HOT 2
- Automatic offset commit led to the loss of some messages HOT 2
- delivery.report.only.error check does not work in case type of the value is not boolean
- Async Producer Panic HOT 1
- Is the producer a tcp keepalive connection
- Signal: bus error when running on macos sonoma 14.4.1 HOT 1
- allow us to unsubscribe from a topic more easily HOT 4
- Producer messages stuck flushing even though there weren't any writes. HOT 2
- Consumers unable to join group until group leader is restarted HOT 3
- Newly added consumers with different version of library in group are not consuming from subscribed topics.
- Schema reference for JSON schemas
- consumer recived repeat message after crash
- Does confluent-kafka-go producer PartitionAny is round robin produce message to kafka? HOT 1
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