How to schedule periodical task based on number of processed messages?
I want to use Kafka Processor API to process messages from Kafka.
I would like to call some periodically function - something like:
context.schedule(IntervalMS,punctuationType, somePunctuator)
, where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages
Is it possible do such triggering in Kafka streams?
apache-kafka apache-kafka-streams
add a comment |
I want to use Kafka Processor API to process messages from Kafka.
I would like to call some periodically function - something like:
context.schedule(IntervalMS,punctuationType, somePunctuator)
, where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages
Is it possible do such triggering in Kafka streams?
apache-kafka apache-kafka-streams
add a comment |
I want to use Kafka Processor API to process messages from Kafka.
I would like to call some periodically function - something like:
context.schedule(IntervalMS,punctuationType, somePunctuator)
, where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages
Is it possible do such triggering in Kafka streams?
apache-kafka apache-kafka-streams
I want to use Kafka Processor API to process messages from Kafka.
I would like to call some periodically function - something like:
context.schedule(IntervalMS,punctuationType, somePunctuator)
, where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages
Is it possible do such triggering in Kafka streams?
apache-kafka apache-kafka-streams
apache-kafka apache-kafka-streams
edited Jan 1 at 17:07
Jacek Laskowski
44.3k18131265
44.3k18131265
asked Dec 30 '18 at 14:35
wardziniakwardziniak
897415
897415
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add a comment |
1 Answer
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yes, it's possible with using Kafka Streams State Store.
logic depends on what exactly you need to do on reaching the number of processed messages.
if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..)
you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)
). please take a look at similar example here.
if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..)
increment this value.
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
yes, it's possible with using Kafka Streams State Store.
logic depends on what exactly you need to do on reaching the number of processed messages.
if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..)
you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)
). please take a look at similar example here.
if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..)
increment this value.
add a comment |
yes, it's possible with using Kafka Streams State Store.
logic depends on what exactly you need to do on reaching the number of processed messages.
if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..)
you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)
). please take a look at similar example here.
if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..)
increment this value.
add a comment |
yes, it's possible with using Kafka Streams State Store.
logic depends on what exactly you need to do on reaching the number of processed messages.
if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..)
you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)
). please take a look at similar example here.
if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..)
increment this value.
yes, it's possible with using Kafka Streams State Store.
logic depends on what exactly you need to do on reaching the number of processed messages.
if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..)
you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)
). please take a look at similar example here.
if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..)
increment this value.
edited Dec 30 '18 at 15:38
answered Dec 30 '18 at 15:30
Vasiliy SarzhynskyiVasiliy Sarzhynskyi
1,1981722
1,1981722
add a comment |
add a comment |
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