> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/server/KafkaApis.scala, line 234
> > <https://reviews.apache.org/r/18022/diff/1/?file=483590#file483590line234>
> >
> >     unused

It is used further down.


> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/server/KafkaApis.scala, line 235
> > <https://reviews.apache.org/r/18022/diff/1/?file=483590#file483590line235>
> >
> >     ditto

Also used further down.


> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/server/OffsetManager.scala, line 149
> > <https://reviews.apache.org/r/18022/diff/1/?file=483593#file483593line149>
> >
> >     I wonder if it is safe to assume that the local broker's 
> > offsetsTopicNumPartitions matches the # of partitions for the offsets 
> > topic. 
> >     
> >     This assumes that every broker would have the same config value for 
> > offsetsTopicNumPartitions, something we don't check for today. 
> >     
> >     In any case, this brings up the question - is there any way that the 
> > user can safely increase the # of partitions for the offsets topic? i.e. If 
> > all consumers are stopped for some time, offsets topic is expanded and then 
> > consumers are started, would it cause offsets to be reported incorrectly?
> >     
> >     For some reason, if # of partitions need to change, can the user stop 
> > all consumers, delete the offsets topic and re-create it? If yes, then this 
> > still requires us to fetch the # of partitions for the offsets topic from 
> > zookeeper or through TopicMetadataRequest, no?
> >     
> >     If we decide to not let the # of partitions change through any of the 
> > above, then it will be good to explicitly prevent that from happening 
> > through the TopicCommand

Right - I put this under comments for discussion in the summary. My preference 
for now is to disallow changing number of partitions for the offsets topic and 
start with a large number for a deployment. If you want to change the number of 
partitions; at least with the current group->partition hashing scheme, we will 
need to first stop all consumers and then export offsets (that tool needs to be 
updated); change the partition count; and finally import offsets.

Another approach would be to maintain a history of changes to the offsets 
topic. (E.g., we currently have a config/changes path in zookeeper although we 
only store the topic in there.) So if we have a history of the number of 
partitions we can walk-backwards on that config-chain when looking up offsets: 
i.e., if we don't find the offset then try hashing to the previous number of 
partitions and so on. This "walking-back" would typically only be done once per 
consumer after increasing the partition count.


> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/server/OffsetManager.scala, lines 172-174
> > <https://reviews.apache.org/r/18022/diff/1/?file=483593#file483593line172>
> >
> >     So this would happen in 2 cases -
> >     
> >     1. Leader -> Follower transition in the middle of an offset fetch
> >     2. Offset was never checkpointed
> >     
> >     Realize that there is a TODO for offset management specific error 
> > codes. I was wondering if NotLeaderForPartition is more appropriate than 
> > UnknownTopicPartition?

In this instance I think UnknownTopicPartition is correct. i.e., we attempt to 
look up a partition that the consumer probably never consumed. So it is 
"unknown" from the point of view of the offset manager. NotLeaderForPartition 
is returned when the consumer commits offsets to or fetches offsets from a 
broker that is not the leader for the offsets partition that the consumer 
hashes to.

This may be confusing to users which is why we may want to map these errors to 
offset management-specific error codes. OTOH, I don't think users need to know 
these details since they would just need to retry if there is any error.


> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/server/OffsetManager.scala, line 190
> > <https://reviews.apache.org/r/18022/diff/1/?file=483593#file483593line190>
> >
> >     So are we explicitly disallowing rewinding consumption for group 
> > management? We don't have to address this in the current patch, but will be 
> > good to file a JIRA to fix this since the new consumer API actually wants 
> > to allow this.

This was temporary - for debugging. We should allow rewinding.


> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/server/OffsetManager.scala, line 381
> > <https://reviews.apache.org/r/18022/diff/1/?file=483593#file483593line381>
> >
> >     There is a version for the key, but not value. Is this intentional?

You're right. The value should also have some versioning incorporated.


> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/tools/ConsumerOffsetChecker.scala, line 121
> > <https://reviews.apache.org/r/18022/diff/1/?file=483595#file483595line121>
> >
> >     Is it worth exposing offsets.channel.backoff.ms and 
> > offsets.channel.socket.timeout.ms?
> >     
> >     Same for TestOffsetManager

That may be a good idea - or we can just set it to a very high value.


> On Feb. 28, 2014, 7:30 p.m., Neha Narkhede wrote:
> > core/src/main/scala/kafka/server/KafkaApis.scala, line 199
> > <https://reviews.apache.org/r/18022/diff/1/?file=483590#file483590line199>
> >
> >     I think it is easier to fail the request in this case instead of the 
> > partial commit. Might keep things simpler (like you said earlier).

I'm still not sure what the best approach for this would be. If we fail the 
request, then I suppose we would need to set the error code for the other 
partitions to "Unattempted" or equivalent.

In the updated patch (which I'm yet to submit) I'm sticking to the partial 
commit and we can discuss further on that review.


- Joel


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On Feb. 12, 2014, 7:50 p.m., Joel Koshy wrote:
> 
> -----------------------------------------------------------
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/18022/
> -----------------------------------------------------------
> 
> (Updated Feb. 12, 2014, 7:50 p.m.)
> 
> 
> Review request for kafka.
> 
> 
> Bugs: KAFKA-1012
>     https://issues.apache.org/jira/browse/KAFKA-1012
> 
> 
> Repository: kafka
> 
> 
> Description
> -------
> 
> I picked up most of Tejas' patch and made various edits for review here as I
> would like this to be completed and closed.
> 
> Here is a link to the original implementation wiki:
> https://cwiki.apache.org/confluence/display/KAFKA/Inbuilt+Consumer+Offset+Management
> 
> A lot of it is the same in this revision of the patch, but there is a bunch
> of refactoring. This patch does not use an "embedded producer" in the
> consumer. i.e., the consumer issues offset commit/fetch requests directly to
> the broker. Also, I decided against doing any kind of request forwarding and
> added a "ConsumerMetadataRequest" that will be used to determine the offset
> coordinator (and subsequently group coordinator that may be useful for the
> client rewrite - see
> https://cwiki.apache.org/confluence/display/KAFKA/Kafka+0.9+Consumer+Rewrite+Design).
> Also, there were some questions on how to support multiple offset manager
> implementations cleanly. After thinking about it I think it makes the code
> simpler and clearer if we just have one good offset storage mechanism (i.e.,
> Kafka-based). Consumers that want to store offsets elsewhere can do so on
> their own. (However, if we do want to do this somewhat cleanly, see the
> discussion on separation of APIs below.)
> 
> Here is a quick recap of how offset management within Kafka works:
> - A special __offsets topic holds consumer offsets.
> - The consumer group serves as the partition key for offsets committed to
>   the __offsets topic. i.e., all offsets for all topics that a group
>   consumes will be in a single partition of the offsets topic.
> - The "group-topic-partition" is the actual (stored) key in each message of
>   the offsets topic.  This facilitates de-duplication (and thus removal) of
>   older offsets.
> - The offset manager also contains an in-memory cache of offsets so it can
>   serve offset fetch requests quickly.
> - Think of commits as a little more than a produce request. If and only if
>   the commit is appended to the __offsets log as a regular produce request
>   we update the offsets cache. So the semantics are identical to a produce
>   request.  Offset fetches return whatever is in the cache. If it is absent,
>   and offsets have not yet been loaded from the logs into the cache (on
>   becoming a leader), then we return an "OffsetsLoading" error code.
> 
> (Tejas' wiki has pretty good diagrams that describe the above.)
> 
> Some more details:
> 
> - Atomicity per-commit: One drawback of the Zookeeper-based offset commits
>   is that we when we commit multiple offsets (since we don't use
>   multi-write) we have to write offsets serially so it is not atomic.  In
>   this implementation I went with Jun's suggestion on using a compressed
>   message set. This ensures that we will disallow partial commits of a bulk
>   commit. I have hard-coded this to GZIP but maybe it is better to just
>   expose a config. Another option is to introduce an identity compression
>   codec.
> - The main corner cases to consider are when there is leader movement due to
>   broker failures and simultaneous offset commits/fetches. Offset fetches
>   would only occur if there are consumer-side rebalances or shutdowns. The
>   guarantees we want to provide are: (i) successfully acknowledged offset
>   commits should be returned on the next offset fetch - i.e., should not be
>   lost (ii) offset fetches should never return a stale offset.
>   - On becoming a follower of an offsets topic partition:
>     - Partition.makeFollower clears the offset cache of entries belonging to
>       this partition of __offsets.
>     - Any subsequent offset fetch request will find out that the partition
>       is no longer a leader and fail. There is one problem in the existing
>       patch which I will highlight in the RB along with a suggested fix.
>     - Likewise, any subsequent offset commit request will fail (since the
>       underlying producer request will fail). It is okay if the underlying
>       producer request succeeds and the broker becomes a follower for that
>       partition just before the offset cache is updated (since the broker
>       will not serve any OffsetFetchRequests for that partition until it
>       becomes a leader again).
>   - On becoming a leader of an offsets topic partition:
>     - Partition.makeLeader: will load the offsets from the log
>       (asynchronously). While this is in progress, the broker rejects offset
>       fetches to this partition. Offset commits may continue to arrive -
>       i.e., will be appended to the log and then written to the cache. The
>       load loop might actually overwrite it with an earlier offset from the
>       log but that is okay - since it will eventually reach the more recent
>       update in the log and load that into the cache.
> 
> Migrating from ZooKeeper-based offset storage to Kafka-based offset storage:
> - The broker config should set offsets.backup.enabled=true
> - Upgrade the brokers to the latest jar. (Consumers still commit
>   directly to ZooKeeper).
> - Start migrating the consumers over.
> - Consumers will now start sending offset commits to the broker. Since the
>   backup setting is enabled, offsets will also be committed to ZooKeeper.
>   This is necessary when migrating consumers.
> - After _all_ consumers have moved over you can turn off the backup.
> 
> I have made a number of preliminary comments as TODOs in the RB myself (i.e.,
> as a note to myself and others reviewing).
> 
> Questions/comments for discussion
> - Should we explicitly disallow changes to the number of offset topic 
> partitions?
>   This is necessary (or at least prompt with a warning) since changing the 
> number
>   of partitions would affect the partitioning strategy.
> - Should we remove per-partition error codes for offset commits and use just
>   a global error code for the entire request? I'm using compressed message
>   sets for commits.  i.e., the log append for a given commit will either
>   fail entirely or succeed entirely. The OffsetCommitResponse contains
>   per-partition error codes. So if the log append fails for any reason the
>   same error code would apply for all partitions. i.e., it is sufficient to
>   have a global error code. I think we currently have per-partition error
>   codes due to the fact that offset commit requests can include metadata for
>   each offset. The per-partition error code is set to MetadataTooLarge if
>   the metadata entry exceeds the MaxMetadataLength. However, in this case I
>   would prefer to just fail the entire request as opposed to doing partial
>   commits (as I am in the current patch). Anyone have thoughts on this?
> - Error codes: right now I'm using existing error codes (with the exception
>   of OffsetsLoading). It may be better to return more specific error codes
>   but I'm not sure if it matters - since the client-side implementation
>   needs to check for _any_ error and if any error exists (other than
>   MetadataTooLarge) just retry the offset commit/fetch until it succeeds.
>   i.e., the client should not really care about the actual error. If people
>   have any strong preference on this let me know.
> - Separation of APIs: Right now, the offset manager, replica manager are
>   intertwined which is less than ideal. It is okay if offset manager depends
>   on replica manager but not the other way around. Ideally, I would like to
>   have KafkaApis hand off offset commit/fetch requests to the offset manager
>   which then handles it. However, the inter-dependence comes about due to
>   the need to clear out the offset cache on becoming a follower and the need
>   to load offsets on becoming a leader. I think we can improve the
>   separation as follows:
>   - Don't optimistically load offsets/clear offsets on a leader/follower
>     transition. Instead, load offsets only when an offset fetch request
>     arrives for a partition that had not been loaded yet.
>   - The OffsetManager will need to maintain a Map[partition ->
>     lastKnownLeaderEpoch] to determine whether to load offsets or not.
>   - The above will eliminate the reference to OffsetManager from
>     ReplicaManager. KafkaApis still needs to reference the OffsetManager and
>     will need to create the offset commit message to append to the __offsets
>     log.
>   - We can actually avoid the need for KafkaApis to know about offset commit
>     messsages as well: in order to do that, we will need to create a
>     "DurableLog" layer on top of LogManager and move all the purgatory stuff
>     in there. The LogManager supports appends/reads from the local log, but
>     does not know anything about the replicas. Instead, we can have a
>     DurableLog layer that depends on ReplicaManager and LogManager and
>     contains the Producer/Fetch-Request purgatories. So OffsetManager will
>     need to depend on this DurableLog component. So KafkaApis can just hand
>     off ProducerRequests, FetchRequests to the DurableLog layer directly. It
>     will hand off OffsetCommit/OffsetFetch requests to the OffsetManager
>     which will then hand it off to the DurableLog layer.
>   - Is the above worth it? I'm not sure it is, especially if we are sticking
>     to only one offset management implementation.
> 
> 
> Diffs
> -----
> 
>   core/src/main/scala/kafka/api/ConsumerMetadataRequest.scala PRE-CREATION 
>   core/src/main/scala/kafka/api/ConsumerMetadataResponse.scala PRE-CREATION 
>   core/src/main/scala/kafka/api/OffsetCommitRequest.scala 4d1fa5c 
>   core/src/main/scala/kafka/api/OffsetCommitResponse.scala 9e1795f 
>   core/src/main/scala/kafka/api/OffsetFetchRequest.scala 7036532 
>   core/src/main/scala/kafka/api/RequestKeys.scala c81214f 
>   core/src/main/scala/kafka/client/ClientUtils.scala 1d2f81b 
>   core/src/main/scala/kafka/cluster/Partition.scala 1087a2e 
>   core/src/main/scala/kafka/common/ErrorMapping.scala b0b5dce 
>   core/src/main/scala/kafka/common/OffsetLoadInProgressException.scala 
> PRE-CREATION 
>   core/src/main/scala/kafka/common/OffsetMetadataAndError.scala 59608a3 
>   core/src/main/scala/kafka/consumer/ConsoleConsumer.scala dc066c2 
>   core/src/main/scala/kafka/consumer/ConsumerConfig.scala e6875d6 
>   core/src/main/scala/kafka/consumer/SimpleConsumer.scala 6dae149 
>   core/src/main/scala/kafka/consumer/ZookeeperConsumerConnector.scala 703b2e2 
>   core/src/main/scala/kafka/javaapi/OffsetCommitRequest.scala 57b9d2a 
>   core/src/main/scala/kafka/javaapi/OffsetCommitResponse.scala 570bf31 
>   core/src/main/scala/kafka/server/KafkaApis.scala ae2df20 
>   core/src/main/scala/kafka/server/KafkaConfig.scala 3c3aafc 
>   core/src/main/scala/kafka/server/KafkaServer.scala 5e34f95 
>   core/src/main/scala/kafka/server/OffsetManager.scala PRE-CREATION 
>   core/src/main/scala/kafka/server/ReplicaManager.scala 21bba48 
>   core/src/main/scala/kafka/tools/ConsumerOffsetChecker.scala 33d7c2c 
>   core/src/main/scala/kafka/tools/MirrorMaker.scala f0f871c 
>   core/src/main/scala/kafka/tools/TestOffsetManager.scala PRE-CREATION 
>   core/src/main/scala/kafka/utils/Utils.scala a89b046 
>   core/src/test/scala/other/kafka/TestZKConsumerOffsets.scala 31534ca 
>   core/src/test/scala/unit/kafka/api/RequestResponseSerializationTest.scala 
> eb274d1 
>   core/src/test/scala/unit/kafka/server/OffsetCommitTest.scala 6a96d80 
>   core/src/test/scala/unit/kafka/server/SimpleFetchTest.scala 1317b4c 
>   sbt 944ebf8 
>   system_test/mirror_maker/README da53c14 
>   system_test/mirror_maker/bin/expected.out 0a1bbaf 
>   system_test/mirror_maker/bin/run-test.sh e5e6c08 
>   system_test/mirror_maker/config/blacklisttest.consumer.properties ff12015 
>   system_test/mirror_maker/config/mirror_producer.properties aa8be65 
>   system_test/mirror_maker/config/server_source_1_1.properties 2f070a7 
>   system_test/mirror_maker/config/server_source_1_2.properties f9353e8 
>   system_test/mirror_maker/config/server_source_2_1.properties daa01ad 
>   system_test/mirror_maker/config/server_source_2_2.properties be6fdfc 
>   system_test/mirror_maker/config/server_target_1_1.properties d37955a 
>   system_test/mirror_maker/config/server_target_1_2.properties aa7546c 
>   system_test/mirror_maker/config/whitelisttest_1.consumer.properties ff12015 
>   system_test/mirror_maker/config/whitelisttest_2.consumer.properties f1a902b 
>   system_test/mirror_maker/config/zookeeper_source_1.properties f851796 
>   system_test/mirror_maker/config/zookeeper_source_2.properties d534d18 
>   system_test/mirror_maker/config/zookeeper_target.properties 55a7eb1 
>   system_test/offset_management_testsuite/cluster_config.json PRE-CREATION 
>   system_test/offset_management_testsuite/config/console_consumer.properties 
> PRE-CREATION 
>   system_test/offset_management_testsuite/config/server.properties 
> PRE-CREATION 
>   system_test/offset_management_testsuite/config/zookeeper.properties 
> PRE-CREATION 
>   system_test/offset_management_testsuite/offset_management_test.py 
> PRE-CREATION 
>   
> system_test/offset_management_testsuite/testcase_7001/testcase_7001_properties.json
>  PRE-CREATION 
>   
> system_test/offset_management_testsuite/testcase_7002/config/kafka_server_1.properties
>  PRE-CREATION 
>   
> system_test/offset_management_testsuite/testcase_7002/config/kafka_server_2.properties
>  PRE-CREATION 
>   
> system_test/offset_management_testsuite/testcase_7002/config/kafka_server_3.properties
>  PRE-CREATION 
>   
> system_test/offset_management_testsuite/testcase_7002/config/kafka_server_4.properties
>  PRE-CREATION 
>   
> system_test/offset_management_testsuite/testcase_7002/config/zookeeper_0.properties
>  PRE-CREATION 
>   
> system_test/offset_management_testsuite/testcase_7002/testcase_7002_properties.json
>  PRE-CREATION 
>   system_test/testcase_to_run.json 8252860 
>   system_test/utils/kafka_system_test_utils.py fb4a9c0 
>   system_test/utils/testcase_env.py bee8716 
> 
> Diff: https://reviews.apache.org/r/18022/diff/
> 
> 
> Testing
> -------
> 
> 
> Thanks,
> 
> Joel Koshy
> 
>

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