Regarding the NULLs not being deleted - I saw this
https://issues.apache.org/jira/browse/KAFKA-8522 which might explain this
case

On Sun, Dec 6, 2020 at 3:02 PM Nitay Kufert <nita...@ironsrc.com> wrote:

> Hey,
> First of all I want to apologize for thinking our own implementation
> of StateRestoreListener was a default log (got confused there).
> This is our implementation (which shows its not really the # of object,
> just the diff in offsets)
>
>>
>
> override def onRestoreStart(topicPartition: TopicPartition,
>
>                               storeName: String,
>
>                               startingOffset: Long,
>
>                               endingOffset: Long): Unit = {
>
>     logger.info(
>
>       "Started restoration of partition",
>
>       "storeName" -> storeName,
>
>       "partition" -> topicPartition.partition.toString,
>
>       "totalRecordsToBeRestored" -> (endingOffset -
>> startingOffset).toString
>
>     )
>
>
> Another thing i've noticed when checking the "problematic" topic was that
> is has many many NULL values which i assumed need to be deleted (because of 
> *delete.retention.ms
> <http://delete.retention.ms>* )
>
> Sorry again for the confusion :)
>
> On Wed, Dec 2, 2020 at 12:53 AM Guozhang Wang <wangg...@gmail.com> wrote:
>
>> Hello Nitay,
>>
>> Sorry for the late reply.
>>
>> Would you be able to share the actual log entries from where you infers
>> the
>> elapsed time and the total number of records restored?
>>
>>
>> Guozhang
>>
>>
>> On Tue, Nov 24, 2020 at 3:44 AM Nitay Kufert <nita...@ironsrc.com> wrote:
>>
>> > Hey,
>> > I get the log *after* the restart was triggered for my app (and my app
>> > actually restarted, meaning i get it as part of my app bootstrap
>> logging)
>> >
>> > On Tue, Nov 24, 2020 at 12:03 AM Guozhang Wang <wangg...@gmail.com>
>> wrote:
>> >
>> > > Hello Nitay,
>> > >
>> > > Thanks for letting us know about your observations. When you restart
>> the
>> > > application from empty local state Kafka Streams will try to restore
>> all
>> > > the records up to the current log end for those global KTables, and
>> > during
>> > > this period of time there should be no processing.
>> > >
>> > > Do you mind sharing where you get the "totalRecordsToBeRestored", is
>> it
>> > > before the restarting was triggered?
>> > >
>> > > Guozhang
>> > >
>> > > On Mon, Nov 23, 2020 at 4:15 AM Nitay Kufert <nita...@ironsrc.com>
>> > wrote:
>> > >
>> > > > Hey all,
>> > > > We have been running a kafka-stream based service in production for
>> the
>> > > > last couple of years (we have 4 brokers on this specific cluster).
>> > > > Inside this service, which does a lot of stuff - there are 2
>> > > GlobalKTables
>> > > > (which are based on 2 compacted topics).
>> > > >
>> > > > When I restart my app and clean the local state - the restoration of
>> > > those
>> > > > topics begins, and the weird thing I am noticing is that for *much
>> > *fewer
>> > > > messages, 1 topic takes *a lot* more time to complete.
>> > > >
>> > > > Let's call the compacted topics A and B, both are compacted and
>> mainly
>> > > > configured the same:
>> > > > Replication 3
>> > > > Number of Partitions 36
>> > > >
>> > > > max.message.bytes 25000000
>> > > > segment.index.bytes 2097152
>> > > > min.cleanable.dirty.ratio 0.1
>> > > > cleanup.policy compact
>> > > > delete.retention.ms 900000
>> > > > segment.bytes 52428800
>> > > > segment.ms 3600000
>> > > > *WIth the exception, that for topic B, we use *
>> > > > cleanup.policy compact,delete
>> > > > retention.ms 604800000
>> > > > *The behaviour i've noticed for a single partition:*
>> > > > Topic A has 62,552 totalRecordsToBeRestored - and it takes around
>> 20s
>> > > > Topic B has 24,730,506 totalRecordsToBeRestored - and it takes
>> around
>> > 1s
>> > > >
>> > > > It is worth mentioning that the data that B holds for each record
>> *is
>> > > much
>> > > > much bigger *(A holds an integer while B holds a big object)*.*
>> > > >
>> > > > Now, I get the feeling that the reason is because the data in B is
>> > always
>> > > > relatively "fresh", while the data in topic A is mostly stale (the
>> > > business
>> > > > logic behind it suggests that topic A updates at a very low rate -
>> and
>> > a
>> > > > lot of keys would never be updated)
>> > > > So, for example, it's probably holding keys that haven't been
>> updated
>> > > since
>> > > > 2018.
>> > > > Topic B keeps getting updated every couple of milliseconds.
>> > > >
>> > > > Another difference that I just realized i might share is that topic
>> A
>> > is
>> > > > being "joined" by 6 other streams, while topic B is only being
>> joined
>> > by
>> > > 2.
>> > > >
>> > > > I find it hard to explain the relation between keeping "old" records
>> > and
>> > > > the huge difference in number of records and their size.
>> > > >
>> > > > So I guess I am missing some basic concept when it comes to
>> > understanding
>> > > > compacted topics and the way the broker saves and fetches the data
>> OR
>> > > maybe
>> > > > we have some underlying problem which can explain it.
>> > > >
>> > > > Let me know if you need some more info
>> > > >
>> > > > Thanks!
>> > > >
>> > > > --
>> > > >
>> > > > Nitay Kufert
>> > > > Backend Team Leader
>> > > > [image: ironSource] <http://www.ironsrc.com>
>> > > >
>> > > > email nita...@ironsrc.com
>> > > > mobile +972-54-5480021
>> > > > fax +972-77-5448273
>> > > > skype nitay.kufert.ssa
>> > > > 121 Menachem Begin St., Tel Aviv, Israel
>> > > > ironsrc.com <http://www.ironsrc.com>
>> > > > [image: linkedin] <https://www.linkedin.com/company/ironsource>
>> > [image:
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>> > >
>> > >
>> > > --
>> > > -- Guozhang
>> > >
>> >
>> >
>> > --
>> >
>> > Nitay Kufert
>> > Backend Team Leader
>> > [image: ironSource] <http://www.ironsrc.com>
>> >
>> > email nita...@ironsrc.com
>> > mobile +972-54-5480021
>> > fax +972-77-5448273
>> > skype nitay.kufert.ssa
>> > 121 Menachem Begin St., Tel Aviv, Israel
>> > ironsrc.com <http://www.ironsrc.com>
>> > [image: linkedin] <https://www.linkedin.com/company/ironsource> [image:
>> > twitter] <https://twitter.com/ironsource> [image: facebook]
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>> > This email (including any attachments) is for the sole use of the
>> intended
>> > recipient and may contain confidential information which may be
>> protected
>> > by legal privilege. If you are not the intended recipient, or the
>> employee
>> > or agent responsible for delivering it to the intended recipient, you
>> are
>> > hereby notified that any use, dissemination, distribution or copying of
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>> or
>> > by telephone, delete this email and destroy any copies. Thank you.
>> >
>>
>>
>> --
>> -- Guozhang
>>
>
>
> --
>
> Nitay Kufert
> Backend Team Leader
> [image: ironSource] <http://www.ironsrc.com>
>
> email nita...@ironsrc.com
> mobile +972-54-5480021
> fax +972-77-5448273
> skype nitay.kufert.ssa
> 121 Menachem Begin St., Tel Aviv, Israel
> ironsrc.com <http://www.ironsrc.com>
> [image: linkedin] <https://www.linkedin.com/company/ironsource> [image:
> twitter] <https://twitter.com/ironsource> [image: facebook]
> <https://www.facebook.com/ironSource> [image: googleplus]
> <https://plus.google.com/+ironsrc>
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>


-- 

Nitay Kufert
Backend Team Leader
[image: ironSource] <http://www.ironsrc.com>

email nita...@ironsrc.com
mobile +972-54-5480021
fax +972-77-5448273
skype nitay.kufert.ssa
121 Menachem Begin St., Tel Aviv, Israel
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