How to check Kafka version information
Introduction
Apache Kafka is a distributed stream processing Platform that allows you to build real-time data pipelines and process large amounts of data. Kafka's high throughput, low latency, and fault tolerance make it ideal for building real-time data applications.
View Kafka version information
To view Kafka version information, you can use the following method:
- Use command line
kafka-topics --version
- Using Java API
Properties properties = new Properties(); properties.put("bootstrap.servers", "localhost:9092"); KafkaAdminClient adminClient = KafkaAdminClient.create(properties); DescribeClusterResult result = adminClient.describeCluster(); System.out.println("Kafka version: " + result.clusterId());
Example
The following is one Example of viewing Kafka version information:
$ kafka-topics --version kafka_2.12-2.8.0
The output shows that the current Kafka version is 2.8.0.
Other information
In addition to viewing Kafka version information, you can also use the following command to view other information:
- View the Kafka cluster ID
kafka-topics --describe --topic test
The output contains the following information:
Cluster ID: N4lU-8KdQ5y2zUwDj82sAw
- View the Kafka topic list
kafka-topics --list
The output results contain the following information:
test
- View Kafka topic details
kafka-topics --describe --topic test
The output results contain the following information:
Topic: test PartitionCount: 1 ReplicationFactor: 1 Configs: cleanup.policy=delete compression.type=producer follower.replication.throttled.replicas= leader.replication.throttled.replicas= max.message.bytes=1000000 message.downconversion.enable=true message.format.version=2.8 min.cleanable.dirty.bytes=52428800 min.compaction.lag.ms=0 min.insync.replicas=1 preallocate=false retention.bytes=-1 retention.ms=-1 segment.bytes=1073741824 segment.index.bytes=10485760 segment.jitter.ms=0 segment.ms=604800000
Conclusion
This article introduces how to view Kafka version information and other related information. This information is very useful for managing and maintaining Kafka clusters.
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