Can Apache Kafka be used to aggregate hourly consumption data per customer?
For example electricity consumption per customer. Consumption data not streaming all the time but inserted in batches of last 12 hours per some amount of customers. After insertion we need to aggregate hourly consumption per customer and if previous hour consumption for some customer not exists to find "closest by date" consumption.
apache-kafka apache-kafka-streams
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
asked Nov 24 '18 at 8:14
genichmgenichm
421715
add a comment |
For example electricity consumption per customer. Consumption data not streaming all the time but inserted in batches of last 12 hours per some amount of customers. After insertion we need to aggregate hourly consumption per customer and if previous hour consumption for some customer not exists to find "closest by date" consumption.
apache-kafka apache-kafka-streams
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
asked Nov 24 '18 at 8:14
genichmgenichm
421715
add a comment |
For example electricity consumption per customer. Consumption data not streaming all the time but inserted in batches of last 12 hours per some amount of customers. After insertion we need to aggregate hourly consumption per customer and if previous hour consumption for some customer not exists to find "closest by date" consumption.
apache-kafka apache-kafka-streams
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
asked Nov 24 '18 at 8:14
genichmgenichm
421715
For example electricity consumption per customer. Consumption data not streaming all the time but inserted in batches of last 12 hours per some amount of customers. After insertion we need to aggregate hourly consumption per customer and if previous hour consumption for some customer not exists to find "closest by date" consumption.
apache-kafka apache-kafka-streams
apache-kafka apache-kafka-streams
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
asked Nov 24 '18 at 8:14
genichmgenichm
421715
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
asked Nov 24 '18 at 8:14
genichmgenichm
421715
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
edited Nov 24 '18 at 15:30
cricket_007
82.5k1143111
82.5k1143111
asked Nov 24 '18 at 8:14
genichmgenichm
421715
asked Nov 24 '18 at 8:14
genichmgenichm
421715
asked Nov 24 '18 at 8:14
genichmgenichm
421715
421715
add a comment |
add a comment |
1 Answer
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Did you check out Kafka Streams (https://kafka.apache.org/documentation/streams/)?
It allows you to read topics as data streams and aggregate on time windows:
StreamsBuilder builder = new StreamsBuilder();
builder.stream("topic-name")
.groupByKey() // assuming the key is a customer-ID
.windowedBy(TimeWindows.of(Duration.ofHours(1)))
.aggregate(...); // insert business logic here
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
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
Did you check out Kafka Streams (https://kafka.apache.org/documentation/streams/)?
It allows you to read topics as data streams and aggregate on time windows:
StreamsBuilder builder = new StreamsBuilder();
builder.stream("topic-name")
.groupByKey() // assuming the key is a customer-ID
.windowedBy(TimeWindows.of(Duration.ofHours(1)))
.aggregate(...); // insert business logic here
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
add a comment |
Did you check out Kafka Streams (https://kafka.apache.org/documentation/streams/)?
It allows you to read topics as data streams and aggregate on time windows:
StreamsBuilder builder = new StreamsBuilder();
builder.stream("topic-name")
.groupByKey() // assuming the key is a customer-ID
.windowedBy(TimeWindows.of(Duration.ofHours(1)))
.aggregate(...); // insert business logic here
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
add a comment |
Did you check out Kafka Streams (https://kafka.apache.org/documentation/streams/)?
It allows you to read topics as data streams and aggregate on time windows:
StreamsBuilder builder = new StreamsBuilder();
builder.stream("topic-name")
.groupByKey() // assuming the key is a customer-ID
.windowedBy(TimeWindows.of(Duration.ofHours(1)))
.aggregate(...); // insert business logic here
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
Did you check out Kafka Streams (https://kafka.apache.org/documentation/streams/)?
It allows you to read topics as data streams and aggregate on time windows:
StreamsBuilder builder = new StreamsBuilder();
builder.stream("topic-name")
.groupByKey() // assuming the key is a customer-ID
.windowedBy(TimeWindows.of(Duration.ofHours(1)))
.aggregate(...); // insert business logic here
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
answered Nov 24 '18 at 21:56
Matthias J. SaxMatthias J. Sax
30.6k45481
30.6k45481
add a comment |
add a comment |
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