Question 1

How to write a custom encoder for kafka-influxdb?

Accepted Answer

Create a Python class based on examples in the encoder directory, then specify it with the --encoder flag. For Docker deployment, mount the encoder file as a volume or build a custom image, as detailed in the README.

Question 2

Kafka-influxdb vs logstash for InfluxDB integration?

Accepted Answer

Kafka-influxdb is optimized for this specific task with higher performance (benchmarks show over 5000 messages/second), while logstash is more versatile but slower. The README includes a comparison and benchmark setup.

Question 3

Does kafka-influxdb work with InfluxDB 2.0?

Accepted Answer

It officially supports InfluxDB 0.9.x and up, but compatibility with InfluxDB 2.x isn't explicitly verified. Check the GitHub issues or test it, as the project has low activity on new features.

Question 4

How to deploy kafka-influxdb in Docker with custom config?

Accepted Answer

Use the official Docker image mre0/kafka-influxdb and mount your config.yaml file. For custom encoders, create a Dockerfile that adds your encoder and config, as explained in the custom encoders section.

Question 5

What's the maximum buffer size in kafka-influxdb?

Accepted Answer

The buffer size is configurable via --buffer_size, with a default of 1000 messages. Adjust it based on your throughput needs and memory constraints, but note that larger buffers may increase latency.

Question 6

Kafka-influxdb or vector for metric pipelines?

Accepted Answer

Vector is recommended by the author for newer projects as it's faster and more versatile. Kafka-influxdb is stable and performant for its specific use case but has lower development activity and a narrower focus.

kafka-influxdb

What is kafka-influxdb?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Open Source Alternative To

Frequently Asked Questions