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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).
Motivation
Describe the problems you are trying to solve.
When remote storage is enabled for on a topic, and the consumer is doing backfill, then the data might be is read from the remote storage. Currently, Kafka remote storage supports reading data only reading from the first remote partition in the given FETCH request (see KAFKA-14915). The default value of max.partition.fetch.bytes is configured to 1 MB. Reading one 1 MB of data per FETCH request from remote, increases the round-trip time for the consumer and the cloud storages provider connectors 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.
Public Interfaces
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A public interface is any change to the following:
- Introduce new
remote.max.partition.fetch.bytesconsumer config, with default value to 1 MB. If not configured, fallback to usemax.partition.fetch.bytesvalue. - Bump FetchRequest to v18 to add the
RemotePartitionMaxBytesfield 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
- Anything else that will likely break existing users in some way when they upgrade
Proposed Changes
Describe the new thing you want to do in appropriate detail. This may be fairly extensive and have large subsections of its own. Or it may be a few sentences. Use judgement based on the scope of the change.
The proposal is to introduce a new Consumer config: remote.max.partition.fetch.bytes to configure the number of bytes returned from remote storage . The in a FETCH request. The reason for not reusing re-using the existing the max.partition.fetch.bytes config. is that:
- The default value of
fetch.max.bytesis configured set to 50 MB andmax.partition.fetch.bytesis 1 MB. - If the user tunes increases the
max.partition.fetch.bytesvalue to 4 MB, then it applies for all the partitions in the FETCH requests. (ie) Reading the data from local storage too. - Assume that the consumer is reading data for from a topic with 64 partitions and 16 partition leaders are colocated co-located in a single broker. Then:
- Broker allocates 16 12 instances of 4 MB buffers which will impact (12 x 4 = 50 MB) which might trigger the Young Gen and Old Gen GC when there are many FETCH requests from different consumers.
- Broker does not use BufferPool to allocate the buffers.
- Since The existing cannot be reused to read from remote storage.
- Allocating big byte-buffers have direct impact on GCs.
- Remote read gets triggered for only one partition in a given FETCH request. And, we want to allocate the big byte-buffer (4 MB) only for remote read requests.
- The assumption made is that there will be fewer RemoteRead requests compared to the LocalRead requests. Kafka performs faster when reading the data from PageCache instead of disk.
- This will also simplify the RemoteStorageManager plugin implementation.
| Code Block | ||||
|---|---|---|---|---|
| ||||
{ "name": "Topics", "type": "[]FetchTopic", "versions": "0+",
"about": "The topics to fetch.", "fields": [
{ "name": "Topic", "type": "string", "versions": "0-12", "entityType": "topicName", "ignorable": true,
"about": "The name of the topic to fetch." },
{ "name": "TopicId", "type": "uuid", "versions": "13+", "ignorable": true, "about": "The unique topic ID."},
{ "name": "Partitions", "type": "[]FetchPartition", "versions": "0+",
"about": "The partitions to fetch.", "fields": [
{ "name": "Partition", "type": "int32", "versions": "0+",
"about": "The partition index." },
{ "name": "CurrentLeaderEpoch", "type": "int32", "versions": "9+", "default": "-1", "ignorable": true,
"about": "The current leader epoch of the partition." },
{ "name": "FetchOffset", "type": "int64", "versions": "0+",
"about": "The message offset." },
{ "name": "LastFetchedEpoch", "type": "int32", "versions": "12+", "default": "-1", "ignorable": false,
"about": "The epoch of the last fetched record or -1 if there is none."},
{ "name": "LogStartOffset", "type": "int64", "versions": "5+", "default": "-1", "ignorable": true,
"about": "The earliest available offset of the follower replica. The field is only used when the request is sent by the follower."},
{ "name": "PartitionMaxBytes", "type": "int32", "versions": "0+",
"about": "The maximum bytes to fetch from this partition. See KIP-74 for cases where this limit may not be honored." },
{ "name": "ReplicaDirectoryId", "type": "uuid", "versions": "17+", "taggedVersions": "17+", "tag": 0, "ignorable": true,
"about": "The directory id of the follower fetching." },
// New field added to FetchTopic
{ "name": "RemotePartitionMaxBytes", "type": "int32", "versions": "18+", "ignorable": true,
"about": "The maximum bytes to fetch from this partition from remote storage. See KIP-74 for cases where this limit may not be honored." }
]}]}, |
If the remote.max.partition.fetch.bytes is not configured / FETCH request is from the old client, then it fallbacks to the use the max.partition.fetch.bytes config.
Compatibility, Deprecation, and Migration Plan
- What impact (if any) will there be on existing users?
- If we are changing behavior how will we phase out the older behavior?
- If we need special migration tools, describe them here.
- When will we remove the existing behavior?
Test Plan
The change is fully compatible with the existing code. There won't be any impact to the existing users.
Test Plan
The patch will be covered with unit test and integration tests.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?
Rejected Alternatives
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.