Look at log.retention.hours and log.retention.bytes

You should post this in the Kafka forums not the Go ones. 

> On Mar 10, 2022, at 11:04 AM, Rakesh K R <rakeshkr1...@gmail.com> wrote:
> 
> Hi,
> Sorry I am not sure which kafka configuration are you referring here. Can you 
> please point me to the right configuration responsible for retaining the 
> message for replay.
> I see following properties which might be related but not sure:
> queued.min.messages
> queued.max.messages.kbytes
> queue.buffering.max.messages
> queue.buffering.max.kbytes
> linger.ms ---> this is currently set to 1000
> message.timeout.ms
> 
> Thank you
> 
>> On Thursday, March 10, 2022 at 9:50:50 PM UTC+5:30 ren...@ix.netcom.com 
>> wrote:
>> You need to configure Kafka for how long it retains messages for replay - or 
>> some other option to store on disk. 
>> 
>>>> On Mar 10, 2022, at 10:07 AM, Rakesh K R <rakesh...@gmail.com> wrote:
>>>> 
>>> Tamas,
>> 
>>> Thanks you. So any suggestion on how to make application release this 
>>> 900MiB memory back to OS so that pod will not end up in OOMKilled state?
>>> 
>>>>> On Thursday, March 10, 2022 at 1:45:18 PM UTC+5:30 Tamás Gulácsi wrote:
>>>>> gopkg.in/confluentinc/confluent-kafka-go.v1/kafka._Cfunc_GoBytes
>>>>> 
>>>>> says it uses cgo, hiding it's memory usage from Go. I bet that 900MiB of 
>>>>> memory is there...
>>>>> 
>>>>> 
>>>>> Rakesh K R a következőt írta (2022. március 10., csütörtök, 7:26:57 
>>>>> UTC+1):
>>>>>> HI,
>>>>>> I have a micro service application deployed on kubernetes cluster(with 
>>>>>> 1gb of pod memory limit). This app receive continuous messages(500 
>>>>>> message per second) from producer app over kafka interface(these 
>>>>>> messages are encoded in protobuf format.)
>>>>>> 
>>>>>> Basic application flow:
>>>>>> 1. Get the message one by one from kafka
>>>>>> 2. unmarshal proto message
>>>>>> 3. apply business logic
>>>>>> 4. write the message to redis cache(in []byte format)
>>>>>> 
>>>>>> When pod starts memory will be around 50mb and memory starts increasing 
>>>>>> as traffic flows into the application. It is never released back to OS. 
>>>>>> As a result pod restarts with error code OOMKilled.
>>>>>> I have integrated grafana to see memory usage like RSS, heap, stack.
>>>>>> During this traffic flow, in-use heap size is 80mb, idle heap is 80mb 
>>>>>> where as process resident memory is at 800-1000MB. Stopping the traffic 
>>>>>> completely for hours did not help and RSS continue to remain in 1000mb.
>>>>>> Tried to analyze this with pprof and it reports only 80mb are in in-use 
>>>>>> section. So I am wondering where these remaining 800-1000mb of pods 
>>>>>> memory went. Also application allocates memory like slices/maps/strings 
>>>>>> to perform business logic(see alloc_space pprof output below)
>>>>>> 
>>>>>> I tried couple of experiments:
>>>>>> 1. Calling FreeOsMemory() in the app but that did not help
>>>>>> 2. invoking my app with GODEBUG=madvdontneed=1 my_app_executable and did 
>>>>>> not help
>>>>>> 3. Leaving the application for 5-6hrs without any traffic to see whether 
>>>>>> memory comes down. It  did not help
>>>>>> 4. pprof shows only 80mb of heap in use
>>>>>> 5. Tried upgrading golang version from 1.13 to 1.16 as there were some 
>>>>>> improvements in runtime. It did not help
>>>>>> 
>>>>>> pprof output for alloc_space:
>>>>>> 
>>>>>> (pprof) top20
>>>>>> Showing nodes accounting for 481.98GB, 91.57% of 526.37GB total
>>>>>> Dropped 566 nodes (cum <= 2.63GB)
>>>>>> Showing top 20 nodes out of 114
>>>>>>       flat  flat%   sum%        cum   cum%
>>>>>>    78.89GB 14.99% 14.99%    78.89GB 14.99%  
>>>>>> github.com/go-redis/redis/v7/internal/proto.(*Reader).readStringReply
>>>>>>    67.01GB 12.73% 27.72%   285.33GB 54.21%  
>>>>>> airgroup/internal/wrapper/agrediswrapper.GetAllConfigurationForGroups
>>>>>>    58.75GB 11.16% 38.88%    58.75GB 11.16%  
>>>>>> google.golang.org/protobuf/internal/impl.(*MessageInfo).MessageOf
>>>>>>    52.26GB  9.93% 48.81%    52.26GB  9.93%  reflect.unsafe_NewArray
>>>>>>    45.78GB  8.70% 57.50%    46.38GB  8.81%  
>>>>>> encoding/json.(*decodeState).literalStore
>>>>>>    36.98GB  7.02% 64.53%    36.98GB  7.02%  reflect.New
>>>>>>    28.20GB  5.36% 69.89%    28.20GB  5.36%  
>>>>>> gopkg.in/confluentinc/confluent-kafka-go.v1/kafka._Cfunc_GoBytes
>>>>>>    25.60GB  4.86% 74.75%    63.62GB 12.09%  
>>>>>> google.golang.org/protobuf/proto.MarshalOptions.marshal
>>>>>>    12.79GB  2.43% 77.18%   165.56GB 31.45%  
>>>>>> encoding/json.(*decodeState).object
>>>>>>    12.73GB  2.42% 79.60%    12.73GB  2.42%  reflect.mapassign
>>>>>>    11.05GB  2.10% 81.70%    63.31GB 12.03%  reflect.MakeSlice
>>>>>>    10.06GB  1.91% 83.61%    12.36GB  2.35%  
>>>>>> filterServersForDestinationDevicesAndSendToDistributionChan
>>>>>>     6.92GB  1.32% 84.92%   309.45GB 58.79%  
>>>>>> groupAndSendToConfigPolicyChannel
>>>>>>     6.79GB  1.29% 86.21%    48.85GB  9.28%  
>>>>>> publishInternalMsgToDistributionService
>>>>>>     6.79GB  1.29% 87.50%   174.81GB 33.21%  encoding/json.Unmarshal
>>>>>>     6.14GB  1.17% 88.67%     6.14GB  1.17%  
>>>>>> google.golang.org/protobuf/internal/impl.consumeBytes
>>>>>>     4.64GB  0.88% 89.55%    14.39GB  2.73%  
>>>>>> GetAllDevDataFromGlobalDevDataDb
>>>>>>     4.11GB  0.78% 90.33%    18.47GB  3.51%  
>>>>>> GetAllServersFromServerRecordDb
>>>>>>     3.27GB  0.62% 90.95%     3.27GB  0.62%  net.HardwareAddr.String
>>>>>>     3.23GB  0.61% 91.57%     3.23GB  0.61%  reflect.makemap
>>>>>> (pprof)
>>>>>> 
>>>>>> 
>>>>>> Need experts help in analyzing this issue.
>>>>>> 
>>>>>> Thanks in advance!!
>>>> 
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