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Apache Kafka

Important configuration properties for Kafka broker Important configuration properties for the high-level consumer API Design API Design API Design API Design API Design API Design API Design Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations Basic Kafka Operations
Kafka Configuration
2001-01-01 · via Apache Kafka

You are viewing documentation for an older version (0.8.0) of Kafka. For up-to-date documentation, see the latest version.

Kafka Configuration

Kafka 0.8 is the version we currently run. We are currently running with replication but with producers acks = 1.

Important Server Configurations

The most important server configurations for performance are those that control the disk flush rate. The more often data is flushed to disk, the more “seek-bound” Kafka will be and the lower the throughput. However very low application flush rates can lead to high latency when the flush finally does occur (because of the volume of data that must be flushed). See the section below on application versus OS flush.

Important Client Configurations

The most important producer configurations control

  • compression
  • sync vs async production>
  • batch size (for async producers)

The most important consumer configuration is the fetch size.

All configurations are documented in the configuration section.

A Production Server Config

Here is our server production server configuration:

# Replication configurations
num.replica.fetchers=4
replica.fetch.max.bytes=1048576
replica.fetch.wait.max.ms=500
replica.high.watermark.checkpoint.interval.ms=5000
replica.socket.timeout.ms=30000
replica.socket.receive.buffer.bytes=65536
replica.lag.time.max.ms=10000
replica.lag.max.messages=4000

controller.socket.timeout.ms=30000
controller.message.queue.size=10

# Log configuration
num.partitions=8
message.max.bytes=1000000
auto.create.topics.enable=true
log.index.interval.bytes=4096
log.index.size.max.bytes=10485760
log.retention.hours=168
log.flush.interval.ms=10000
log.flush.interval.messages=20000
log.flush.scheduler.interval.ms=2000
log.roll.hours=168
log.retention.check.interval.ms=300000
log.segment.bytes=1073741824

# ZK configuration
zk.connection.timeout.ms=6000
zk.sync.time.ms=2000

# Socket server configuration
num.io.threads=8
num.network.threads=8
socket.request.max.bytes=104857600
socket.receive.buffer.bytes=1048576
socket.send.buffer.bytes=1048576
queued.max.requests=16
fetch.purgatory.purge.interval.requests=100
producer.purgatory.purge.interval.requests=100

Our client configuration varies a fair amount between different use cases.