How does Kafka calculate the delay?
We assume that the producer rate is stable, like a normal operating producer. So, if we calculate the difference between the last message consumed and the last message produced, and divide it by the rate of the producer, we will get the delay, in units of time! In the diagram above is a Kafka timeline.
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How do I fix Kafka lag?
The best solution is to store the offsets in the brokers… I suggest the following series of actions:
- Monitor how much delay is being reduced in unit of time (per minute, let’s say) for each consumer.
- If the lag reduction rate is still too low and you want to increase it, add the appropriate number of consumers.
What causes Kafka’s consumer lag?
The consumer lag indicates the lag between Kafka’s producers and consumers. If the rate of data production far exceeds the rate at which data is consumed, consumer pools will show a delay. As the runner writes data, it keeps track of the last offset and records it as the end log offset.
How do I set Kafka’s offset to latest?
Use kafka-consumer-groups.sh to change or reset the offset. You would have to specify the theme, the consumer group, and use the –reset-offsets flag to change the offset.
What is negative lag in Kafka?
Consumer compensation is read from the topic of compensation for consumers based on Kafka. This means that the reported lag can be negative, since we are consuming compensation from the compensation topic faster than polling producer compensation. This is normal and not a problem. Taken from github.com/yahoo/CMAK.
What does Kafka’s delay mean?
What is Kafka’s consumer lag? Kafka Consumer Lag is the indicator of how much lag there is between Kafka producers and consumers. Kafka consumers are applications that read messages from Kafka (Brokers). Inside Brokers data is stored in one or more topics, and each topic consists of one or more partitions.
How can I speed up the consumption of Kafka?
In short, for Kafka Consumer Optimization, make sure to use rebalancing delay, process messages with one-time processing, ensure good network connections, set consumers to a multiple of the number of partitions, and keep messages below 1MB in size.
What is Kafka compensation?
The offset is a simple integer that Kafka uses to hold the current position of a consumer. That is all. The current offset is a pointer to the last record that Kafka already sent to a consumer in the most recent poll. So the consumer doesn’t get the same record twice because of the current offset.
What is the Kafka exporter?
Kafka Exporter is an open source project to improve monitoring of Apache Kafka clients and agents. Kafka Exporter is provided with AMQ Streams for deployment with a Kafka cluster to extract additional metric data from Kafka agents related to offsets, consumer groups, consumer backlog, and topics.
How do I monitor consumer delay in Kafka?
Monitor consumer delay
- Select the name of your cluster.
- Click the Consumers link and select a consumer group. Consumer delay details are displayed, including: All consumers in a group. A visualization of the delay. For more information on how to create a consumer, see Quickstart for Apache Kafka with Confluent Cloud.
What causes Kafka’s delay?
If the rate of data production far exceeds the rate at which data is consumed, consumer pools will show a delay. Data storage within a Kafka broker is done through topics. Topics are partitioned and brokers write data to specific partitions.
How do I add a delay in Kafka?
Kafka: delayed queue implementation using a high-level consumer
- produce messages by key (each message contains a creation timestamp) this ensures that each partition has ordered the messages by production time.
- auto.commit.enable=false (will explicitly commit after each message process)
- consume a message
How fast is the Kafka consumer?
Kafka in its default configuration is faster than Pulsar in all latency benchmarks, and is faster up to p99. 9 when set to fsync on every message.
Can Kafka’s displacement be negative?
Currently, the shard-level delay metric can be negative, since the last committed offset can be less than the follower offset.
Does Kafka admit priority?
Kafka is a fast, scalable, distributed-by-design, partitioned, and replicated commitment log service. Therefore, there is no priority in the topic or the message.
How does Kafka compensation work?
Is RabbitMQ faster than Kafka?
Kafka offers much higher performance than message brokers like RabbitMQ. It uses sequential disk I/O to increase performance, making it a good choice for implementing queues. You can achieve high throughput (millions of messages per second) with limited resources, a necessity for big data use cases.