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https://issues.apache.org/jira/browse/FLINK-11501?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lakshmi Rao updated FLINK-11501:
--------------------------------
Description:
There are instances when a Flink job that reads from Kafka can read at a
significantly high throughput (particularly while processing a backlog) and
degrade the underlying Kafka cluster.
While Kafka quotas are perhaps the best way to enforce this ratelimiting, there
are cases where such a setup is not available or easily enabled.
The approach is essentially to use Guava's rate limiter to ratelimit the bytes
read from Kafka (in the
[KafkaConsumerThread|https://github.com/apache/flink/blob/master/flink-connectors/flink-connector-kafka-0.9/src/main/java/org/apache/flink/streaming/connectors/kafka/internal/KafkaConsumerThread.java])
More discussion here:
[https://lists.apache.org/thread.html/8140b759ba83f33a22d809887fd2d711f5ffe7069c888eb9b1142272@%3Cdev.flink.apache.org%3E]
was:
There are instances when a Flink job that reads from Kafka can read at a
significantly high throughput (particularly while processing a backlog) and
degrade the underlying Kafka cluster.
While Kafka quotas are perhaps the best way to enforce this ratelimiting, there
are cases where such a setup is not available or easily enabled.
The approach is essentially to use Guava's rate limiter to ratelimit the bytes
read from Kafka.
More discussion here:
https://lists.apache.org/thread.html/8140b759ba83f33a22d809887fd2d711f5ffe7069c888eb9b1142272@%3Cdev.flink.apache.org%3E
> Add a ratelimiting feature to the FlinkKafkaConsumer
> ----------------------------------------------------
>
> Key: FLINK-11501
> URL: https://issues.apache.org/jira/browse/FLINK-11501
> Project: Flink
> Issue Type: Improvement
> Components: Kafka Connector
> Reporter: Lakshmi Rao
> Assignee: Lakshmi Rao
> Priority: Major
>
> There are instances when a Flink job that reads from Kafka can read at a
> significantly high throughput (particularly while processing a backlog) and
> degrade the underlying Kafka cluster.
> While Kafka quotas are perhaps the best way to enforce this ratelimiting,
> there are cases where such a setup is not available or easily enabled.
> The approach is essentially to use Guava's rate limiter to ratelimit the
> bytes read from Kafka (in the
> [KafkaConsumerThread|https://github.com/apache/flink/blob/master/flink-connectors/flink-connector-kafka-0.9/src/main/java/org/apache/flink/streaming/connectors/kafka/internal/KafkaConsumerThread.java])
> More discussion here:
> [https://lists.apache.org/thread.html/8140b759ba83f33a22d809887fd2d711f5ffe7069c888eb9b1142272@%3Cdev.flink.apache.org%3E]
>
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