Current state: ["Under Discussion"]
Discussion thread: here
JIRA: KAFKA-15777
Please keep the discussion on the mailing list rather than commenting on the wiki (wiki discussions get unwieldy fast).
When remote storage is enabled on a topic, and the consumer is doing backfill, then the data is read from the remote storage. Currently, Kafka remote storage supports only reading the first remote partition in the given FETCH request. The default value of max.partition.fetch.bytes is configured to 1 MB. Reading one MB of data per FETCH request, increases the round-trip time for the consumer and the cloud storages are often tuned to read data in chunks of 4 MB.
The proposal is to introduce remote.max.partition.fetch.bytes in the Consumer config which allows the user to tune the value depending on their storage plugin. The user might want to optimize the number of calls to remote storage vs the amount of bytes returned back to the client in the FETCH response.
remote.max.partition.fetch.bytes consumer config, with default value to 1 MB.RemotePartitionMaxBytes field to propagate the value configured on the consumer to the broker. Binary log format
The network protocol and api behavior
Any class in the public packages under clientsConfiguration, especially client configuration
org/apache/kafka/common/serialization
org/apache/kafka/common
org/apache/kafka/common/errors
org/apache/kafka/clients/producer
org/apache/kafka/clients/consumer (eventually, once stable)
Monitoring
Command line tools and arguments
The proposal is to introduce a new Consumer config: remote.max.partition.fetch.bytes to configure the number of bytes returned from remote storage in a FETCH request. The reason for not re-using the existing the max.partition.fetch.bytes is that:
fetch.max.bytes is set to 50 MB and max.partition.fetch.bytes is 1 MB.max.partition.fetch.bytes value to 4 MB, then it applies for all the partitions in the FETCH requests. (ie) Reading the data from local storage too.Describe in few sentences how the KIP will be tested. We are mostly interested in system tests (since unit-tests are specific to implementation details). How will we know that the implementation works as expected? How will we know nothing broke?
If there are alternative ways of accomplishing the same thing, what were they? The purpose of this section is to motivate why the design is the way it is and not some other way.