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From "Brett Rann (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (KAFKA-6185) Selector memory leak with high likelihood of OOM in case of down conversion
Date Fri, 12 Jan 2018 01:56:00 GMT

    [ https://issues.apache.org/jira/browse/KAFKA-6185?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16253043#comment-16253043
] 

Brett Rann edited comment on KAFKA-6185 at 1/12/18 1:55 AM:
------------------------------------------------------------

*update* the fix ends up in the client jar, so dropping it in like that didn't work.  Instead
I've deployed the full kafka_2.11-1.0.1-SNAPSHOT.tgz that gets built and they're both now
running on that.

Steps I took to build and deploy:

{noformat}
 $ gradle
------------------------------------------------------------
Gradle 4.3
------------------------------------------------------------

Build time:   2017-10-30 15:43:29 UTC
Revision:     c684c202534c4138b51033b52d871939b8d38d72

Groovy:       2.4.12
Ant:          Apache Ant(TM) version 1.9.6 compiled on June 29 2015
JVM:          1.8.0_152 (Oracle Corporation 25.152-b16)
OS:           Mac OS X 10.12.6 x86_64

java version "1.8.0_152"
Java(TM) SE Runtime Environment (build 1.8.0_152-b16)
Java HotSpot(TM) 64-Bit Server VM (build 25.152-b16, mixed mode)
{noformat}

{noformat}
git clone git@github.com:apache/kafka.git
git checkout 1.0
git branch -v
* 1.0   1a5a547bb KAFKA-6190: Use consumer.position() instead of record.offset() to advance
in GlobalKTable restoration to avoid transactional control messages
trunk d04daf570 MINOR: Exclude Committer Checklist section from commit message
gradle
./gradlew clean releaseTarGz
{noformat}
<snip>
note: came back to edit this message later to be more clear of the steps finally taken to
deploy.


was (Author: brettrann):
*update* the fix ends up in the client jar, so dropping it in like that didn't work.  Instead
I've deployed the full kafka_2.11-1.0.1-SNAPSHOT.tgz that gets built and they're both now
running on that.

Our memory problem persists.

I have a .hprof from -XX:+HeapDumpOnOutOfMemoryError and a manual dump.bin which i could share
privately. And they are still in an OOMing state if any further poking is required. We have
jmx.rmi exposed if that's useful.

Steps I took to build and deploy:

{noformat}
 $ gradle
------------------------------------------------------------
Gradle 4.3
------------------------------------------------------------

Build time:   2017-10-30 15:43:29 UTC
Revision:     c684c202534c4138b51033b52d871939b8d38d72

Groovy:       2.4.12
Ant:          Apache Ant(TM) version 1.9.6 compiled on June 29 2015
JVM:          1.8.0_152 (Oracle Corporation 25.152-b16)
OS:           Mac OS X 10.12.6 x86_64

java version "1.8.0_152"
Java(TM) SE Runtime Environment (build 1.8.0_152-b16)
Java HotSpot(TM) 64-Bit Server VM (build 25.152-b16, mixed mode)
{noformat}

{noformat}
git clone git@github.com:apache/kafka.git
git checkout 1.0
git branch -v
* 1.0   1a5a547bb KAFKA-6190: Use consumer.position() instead of record.offset() to advance
in GlobalKTable restoration to avoid transactional control messages
trunk d04daf570 MINOR: Exclude Committer Checklist section from commit message
gradle
./gradlew clean releaseTarGz
{noformat}
I then renamed ./core/build/libs/kafka_2.11-1.0.1-SNAPSHOT.jar to kafka_2.11-1.0.0.jar and
dropped it into the lib directory where the affected kafka is installed and restarted kafka.

<snip>

> Selector memory leak with high likelihood of OOM in case of down conversion
> ---------------------------------------------------------------------------
>
>                 Key: KAFKA-6185
>                 URL: https://issues.apache.org/jira/browse/KAFKA-6185
>             Project: Kafka
>          Issue Type: Bug
>    Affects Versions: 1.0.0
>         Environment: Ubuntu 14.04.5 LTS
> 5 brokers: 1&2 on 1.0.0 3,4,5 on 0.11.0.1
> inter.broker.protocol.version=0.11.0.1
> log.message.format.version=0.11.0.1
> clients a mix of 0.9, 0.10, 0.11
>            Reporter: Brett Rann
>            Assignee: Rajini Sivaram
>            Priority: Blocker
>              Labels: regression
>             Fix For: 1.1.0, 1.0.1
>
>         Attachments: Kafka_Internals___Datadog.png, Kafka_Internals___Datadog.png
>
>
> We are testing 1.0.0 in a couple of environments.
> Both have about 5 brokers, with two 1.0.0 brokers and the rest 0.11.0.1 brokers.
> One is using on disk message format 0.9.0.1, the other 0.11.0.1
> we have 0.9, 0.10, and 0.11 clients connecting.
> The cluster on the 0.9.0.1 format is running fine for a week.
> But the cluster on the 0.11.0.1 format is consistently having memory issues, only on
the two upgraded brokers running 1.0.0.
> The first occurrence of the error comes along with this stack trace
> {noformat}
> {"timestamp":"2017-11-06 14:22:32,402","level":"ERROR","logger":"kafka.server.KafkaApis","thread":"kafka-request-handler-7","message":"[KafkaApi-1]
Error when handling request {replica_id=-1,max_wait_time=500,min_bytes=1,topics=[{topic=maxwell.users,partitions=[{partition=0,fetch_offset=227537,max_bytes=11000000},{partition=4,fetch_offset=354468,max_bytes=11000000},{partition=5,fetch_offset=266524,max_bytes=11000000},{partition=8,fetch_offset=324562,max_bytes=11000000},{partition=10,fetch_offset=292931,max_bytes=11000000},{partition=12,fetch_offset=325718,max_bytes=11000000},{partition=15,fetch_offset=229036,max_bytes=11000000}]}]}"}
> java.lang.OutOfMemoryError: Java heap space
>         at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57)
>         at java.nio.ByteBuffer.allocate(ByteBuffer.java:335)
>         at org.apache.kafka.common.record.AbstractRecords.downConvert(AbstractRecords.java:101)
>         at org.apache.kafka.common.record.FileRecords.downConvert(FileRecords.java:253)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1$$anonfun$apply$4.apply(KafkaApis.scala:520)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1$$anonfun$apply$4.apply(KafkaApis.scala:518)
>         at scala.Option.map(Option.scala:146)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:518)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$convertedPartitionData$1$1.apply(KafkaApis.scala:508)
>         at scala.Option.flatMap(Option.scala:171)
>         at kafka.server.KafkaApis.kafka$server$KafkaApis$$convertedPartitionData$1(KafkaApis.scala:508)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:556)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$createResponse$2$1.apply(KafkaApis.scala:555)
>         at scala.collection.Iterator$class.foreach(Iterator.scala:891)
>         at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
>         at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
>         at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
>         at kafka.server.KafkaApis.kafka$server$KafkaApis$$createResponse$2(KafkaApis.scala:555)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:569)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$fetchResponseCallback$1$1.apply(KafkaApis.scala:569)
>         at kafka.server.KafkaApis$$anonfun$sendResponseMaybeThrottle$1.apply$mcVI$sp(KafkaApis.scala:2034)
>         at kafka.server.ClientRequestQuotaManager.maybeRecordAndThrottle(ClientRequestQuotaManager.scala:52)
>         at kafka.server.KafkaApis.sendResponseMaybeThrottle(KafkaApis.scala:2033)
>         at kafka.server.KafkaApis.kafka$server$KafkaApis$$fetchResponseCallback$1(KafkaApis.scala:569)
>         at kafka.server.KafkaApis$$anonfun$kafka$server$KafkaApis$$processResponseCallback$1$1.apply$mcVI$sp(KafkaApis.scala:588)
>         at kafka.server.ClientQuotaManager.maybeRecordAndThrottle(ClientQuotaManager.scala:175)
>         at kafka.server.KafkaApis.kafka$server$KafkaApis$$processResponseCallback$1(KafkaApis.scala:587)
>         at kafka.server.KafkaApis$$anonfun$handleFetchRequest$3.apply(KafkaApis.scala:604)
>         at kafka.server.KafkaApis$$anonfun$handleFetchRequest$3.apply(KafkaApis.scala:604)
>         at kafka.server.ReplicaManager.fetchMessages(ReplicaManager.scala:820)
>         at kafka.server.KafkaApis.handleFetchRequest(KafkaApis.scala:596)
>         at kafka.server.KafkaApis.handle(KafkaApis.scala:100)
> {noformat}
> And then after a few of those it settles into this kind of pattern
> {noformat}
> {"timestamp":"2017-11-06 15:06:48,114","level":"ERROR","logger":"kafka.server.KafkaApis","thread":"kafka-request-handler-1","message":"[KafkaApi-1]
Error when handling request {replica_id=-1,max_wait_time=500,min_bytes=1,topics=[{topic=maxwell.accounts,partitions=[{partition=4,fetch_offset=560631,max_bytes=11000000},{partition=8,fetch_offset=557589,max_bytes=11000000},{partition=12,fetch_offset=551712,max_bytes=11000000}]}]}"}
> java.lang.OutOfMemoryError: Java heap space
> {"timestamp":"2017-11-06 15:06:48,811","level":"ERROR","logger":"kafka.server.KafkaApis","thread":"kafka-request-handler-7","message":"[KafkaApi-1]
Error when handling request {replica_id=-1,max_wait_time=500,min_bytes=1,topics=[{topic=maxwell.accounts,partitions=[{partition=4,fetch_offset=560631,max_bytes=11000000},{partition=8,fetch_offset=557589,max_bytes=11000000},{partition=12,fetch_offset=551712,max_bytes=11000000}]}]}"}
> java.lang.OutOfMemoryError: Java heap space
> {noformat}
> I've attached the heap use graphs. It steadily increases to max at which time the error
starts appearing.
> I've tripled the heap space for one of the 1.0.0 hosts to see what happens, and it similarly
climbs to near 6, then similarly starts having java.lang.OutOfMemoryError errors. I've attached
those heap space graphs also, where the line that starts climbing from 2gb was when it was
restarted with 6gb heap. The out of memory error started right at the peak of the flatline.
> Here's a snippit from the broker logs: https://gist.github.com/brettrann/4bb8041e884a299b7b0b12645a04492d
> I've redacted some group names because I'd need to check with the teams about making
them public. Let me know what more is needed and I can gather it. This is a test cluster and
the problem appears reproducible easily enough. Happy to gather as much info as needed.
> Our config is: 
> {noformat}
> broker.id=2
> delete.topic.enable=true
> auto.create.topics.enable=false
> auto.leader.rebalance.enable=true
> inter.broker.protocol.version=0.11.0.1
> log.message.format.version=0.11.0.1
> group.max.session.timeout.ms = 300000
> port=9092
> num.network.threads=3
> num.io.threads=8
> socket.send.buffer.bytes=102400
> socket.receive.buffer.bytes=102400
> socket.request.max.bytes=104857600
> replica.fetch.max.bytes=10485760
> log.dirs=/data/kafka/logs
> num.partitions=1
> num.recovery.threads.per.data.dir=1
> log.retention.hours=168
> offsets.retention.minutes=10080
> log.segment.bytes=1073741824
> log.retention.check.interval.ms=300000
> log.cleaner.enable=true
> zookeeper.connect=zoo1:2181,zoo2:2181,zoo3:2181/kafka
> zookeeper.connection.timeout.ms=6000
> {noformat}
> This was also reported attached to the end of this ticket https://issues.apache.org/jira/browse/KAFKA-6042
which is a broker lockup/FD issue, but a new ticket was requested.



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