Hello,
Sorry for the late response, we tried logging the errors received in the
callback and the result is that we are facing TimeoutExceptions
org.apache.kafka.common.errors.TimeoutException: Batch containing 93
record(s) expired due to timeout while requesting metadata from brokers for
mp_test2-1
Increasing the request.timeout.ms=100000 (from default of 30000) fixed the
messages from being dropped. However that seems like solution which would not
scale if there was a unpredictable "burst" of slowness in network causing
longer delay.
Is there a better way to handle this? Is there any other producer/broker
configuration I could tweak to increase the reliability of the producer?
Thanks,
Varun
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Ismael Juma
Sent: 22 November 2016 08:31
To: Kafka Users <[email protected]>
Subject: Re: Kafka producer dropping records
Another option which is probably easier is to pass a callback to `send` and log
errors.
Ismael
On Tue, Nov 22, 2016 at 10:33 AM, Ismael Juma <[email protected]> wrote:
> You can collect the Futures and call `get` in batches. That would give
> you access to the errors without blocking on each request.
>
> Ismael
>
>
> On Tue, Nov 22, 2016 at 8:56 AM, Phadnis, Varun
> <[email protected]>
> wrote:
>
>> Hello,
>>
>> We had tried that... If future.get() is added in the while loop, it
>> takes too long for the loop to execute.
>>
>> Last time we tried it, it was running for that file for over 2 hours
>> and still not finished.
>>
>> Regards,
>> Varun
>>
>> -----Original Message-----
>> From: Jaikiran Pai [mailto:[email protected]]
>> Sent: 22 November 2016 02:20
>> To: [email protected]
>> Subject: Re: Kafka producer dropping records
>>
>> The KafkaProducer.send returns a Future<RecordMetadata>. What happens
>> when you add a future.get() on the returned Future, in that while
>> loop, for each sent record?
>>
>> -Jaikiran
>>
>> On Tuesday 22 November 2016 12:45 PM, Phadnis, Varun wrote:
>> > Hello,
>> >
>> > We have the following piece of code where we read lines from a file
>> > and
>> push them to a Kafka topic :
>> >
>> > Properties properties = new Properties();
>> > properties.put("bootstrap.servers", <bootstrapServers>);
>> > properties.put("key.serializer",
>> StringSerializer.class.getCanonicalName());
>> > properties.put("value.serializer",
>> StringSerializer.class.getCanonicalName());
>> > properties.put("retries",100);
>> > properties.put("acks", "all");
>> >
>> > KafkaProducer<Object, String> producer = new
>> > KafkaProducer<>(properties);
>> >
>> > try (BufferedReader bf = new BufferedReader(new
>> InputStreamReader(new FileInputStream(filePath), "UTF-8"))) {
>> > String line;
>> > int count = 0;
>> > while ((line = bf.readLine()) != null) {
>> > count++;
>> > producer.send(new ProducerRecord<>(topicName, line));
>> > }
>> > Logger.log("Done producing data messages. Total no of
>> records produced:" + count);
>> > } catch (InterruptedException | ExecutionException |
>> IOException e) {
>> > Throwables.propagate(e);
>> > } finally {
>> > producer.close();
>> > }
>> >
>> > When we try this with a large file with a million records, only
>> > half of
>> them around 500,000 get written to the topic. In the above example, I
>> verified this by running the GetOffset tool after fair amount of time
>> (to ensure all records had finished processing) as follows:
>> >
>> >
>> > ./kafka-run-class.sh kafka.tools.GetOffsetShell
>> > --broker-list <broker_list> --time -1 --topic <topic_name>
>> >
>> >
>> >
>> >
>> > The output of this was :
>> >
>> >
>> > topic_name:1:292954
>> >
>> > topic_name:0:296787
>> >
>> >
>> > What could be causing this dropping of records?
>> >
>> > Thanks,
>> > Varun
>> >
>>
>>
>
