Kafka

kafka topic size

kafka topic size
  1. What is topic size in Kafka?
  2. How do you determine the size of a Kafka topic?
  3. How do I increase Kafka topic size?
  4. How many Kafka topics is too many?
  5. Why Kafka is used?
  6. What are Kafka topics?
  7. How do I get a list of Kafka topics?
  8. How long is Kafka messages?
  9. How do I view Kafka messages?
  10. Is Kafka slow?
  11. How many Kafka partitions should I have?
  12. How do I know if Kafka is running?

What is topic size in Kafka?

This returns the size (in bytes) of the topic test including its replications. In case you have a replication factor greater than 1 and you want the size of the unique topic message, divide the value you get with the replication factor.

How do you determine the size of a Kafka topic?

5 Answers. As Martbob very helpfully mentioned, you can do this using kafka-log-dirs. This produces JSON output (on one of the lines). So I can use the ever-so-useful jq tool to pull out the 'size' fields (some are null), select only the ones that are numbers, group them into an array, and then add them together.

How do I increase Kafka topic size?

How to increase the record size in Kafka cluster topic

  1. Are server.properties and consumer.properties in the same folder? – berrytchaks May 12 '17 at 13:07.
  2. Yes, server.properties and consumer.properties are in same folder. – ...
  3. Put both files in different folders and try. – ...
  4. With the same folder for server and consumer properties working for me now.

How many Kafka topics is too many?

The rule of thumb is that the number of Kafka topics can be in the thousands. Jun Rao (Kafka committer; now at Confluent but he was formerly in LinkedIn's Kafka team) wrote: At LinkedIn, our largest cluster has more than 2K topics. 5K topics should be fine.

Why Kafka is used?

Messaging. Kafka works well as a replacement for a more traditional message broker. Message brokers are used for a variety of reasons (to decouple processing from data producers, to buffer unprocessed messages, etc).

What are Kafka topics?

Kafka organizes message feeds into categories called topics. Each topic has a name that is unique across the entire Kafka cluster. Messages are sent to and read from specific topics. In other words, producers write data to topics, and consumers read data from topics. Kafka topics are multi-subscriber.

How do I get a list of Kafka topics?

  1. To start the kafka: $ nohup ~/kafka/bin/kafka-server-start.sh ~/kafka/config/server.properties > ~/kafka/kafka.log 2>&1 &
  2. To list out all the topic on on kafka; $ bin/kafka-topics.sh --list --zookeeper localhost:2181.
  3. To check the data is landing on kafka topic and to print it out;

How long is Kafka messages?

The Kafka cluster retains all published messages—whether or not they have been consumed—for a configurable period of time. For example if the log retention is set to two days, then for the two days after a message is published it is available for consumption, after which it will be discarded to free up space.

How do I view Kafka messages?

You can use the Kafka-console-consumer to view your messages.
...
Procedure

  1. Log in to the IBM Event Streams console.
  2. Select Topic > ibm-bai-ingress > Messages.
  3. Select a date.
  4. The messages are listed according to time stamps.

Is Kafka slow?

Kafka relies on the filesystem for the storage and caching. The problem is disks are slower than RAM. This is because the seek-time through a disk is large compared to the time required for actually reading the data.

How many Kafka partitions should I have?

For most implementations you want to follow the rule of thumb of 10 partitions per topic, and 10,000 partitions per Kafka cluster. Going beyond that amount can require additional monitoring and optimization.

How do I know if Kafka is running?

I would say that another easy option to check if a Kafka server is running is to create a simple KafkaConsumer pointing to the cluste and try some action, for example, listTopics(). If kafka server is not running, you will get a TimeoutException and then you can use a try-catch sentence.

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