How to optimize the performance of Kafka exporters?

[xiaoyao2246]

Component(s)

exporter/kafka

Describe the issue you're reporting

I deployed a simple Collector using the OpenTelemetry Operator, and its configuration is as follows:

kind: OpenTelemetryCollector
metadata:
  name: collector-otlp
spec:
  image: xxxxx/opentelemetry-collector-contrib:0.40.0
  replicas: 1
  mode: deployment
  resources:
    limits:
      cpu: 1000m
      memory: 2048Mi
  config: |
    receivers:
      jaeger: 
        protocols: 
          thrift_http: 
            endpoint: 0.0.0.0:4316
      otlp:
        protocols:
          grpc:
            endpoint: 0.0.0.0:4317
          http:
            endpoint: 0.0.0.0:4318
    processors: 
      batch: 
        send_batch_size: 500
        send_batch_max_size: 500
      resource: 
        attributes: 
        - key: from-collector
          value: temp
          action: insert
    exporters: 
      logging: 
        loglevel: info
      kafka: 
        brokers:
          - xx.xx.xx.xx:9092
          - xx.xx.xx.xx:9092
          - xx.xx.xx.xx:9092
        topic: otlp_trace_temp
        protocol_version: 2.0.0
    service:
      pipelines:
        traces:
          receivers: [otlp, jaeger]
          processors: [batch, resource]
          exporters: [logging, kafka]

Since the version of my Kubernetes is 1.20.11, I used the v0.40.0 version of the collector.

The configuration of my Collector is 1 core and 2GB of memory.

Part of the collector's logs are as follows:

2024-12-16T14:36:04.690Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:04.700Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:05.691Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:05.691Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:06.692Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:06.693Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:07.693Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:07.696Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:08.696Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:08.699Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:09.699Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:09.702Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:10.700Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:10.701Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:11.700Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:11.701Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:12.702Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:12.703Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:13.710Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:13.712Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:14.719Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:14.722Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:15.726Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:15.729Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:16.730Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:16.733Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:17.735Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:17.738Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:18.739Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:18.742Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:19.743Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:19.746Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:20.747Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}
2024-12-16T14:36:20.751Z        INFO    loggingexporter/logging_exporter.go:40  TracesExporter  {"#spans": 500}

In order to test the performance of the Collector, I send trace data to the Collector, The current performance of the Collector is as follows:

I found that under the current configuration, the CPU usage is relatively high, while the memory usage is very low.

My question is, is there any other way, or strategy, to improve Collector's performance? I'm just new to OpenTelemetry and hope to get some good advice!

Thank you all again for your help.

[github-actions]

Pinging code owners:

• exporter/kafka: @pavolloffay @MovieStoreGuy

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[VihasMakwana]

v0.40.0 is very old.
Anyways, would it be possible to share CPU profile? You can use https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/v0.40.0/extension/pprofextension/README.md

[xiaoyao2246]

@VihasMakwana
Firstly, regarding the part of performance analysis, I'll try to configure it now. Thank you.

Secondly, I'd like to ask that for the K8S version 1.20.11, if I want to use a higher - version Collector, is there any way to do it? Or can I deploy the Collector independently without using the Opentelemetry Operator? I mainly want to use the function of partitioning by traceId in Kafka Export.