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scala - How to get Kafka messages based on timestamp

I am working on a application in which I am using kafka and tech is scala. My kafka consumer code is as follows:

val props = new Properties()
        props.put("group.id", "test")
        props.put("bootstrap.servers", "localhost:9092")
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
        props.put("auto.offset.reset", "earliest")
        props.put("group.id", "consumer-group")
    val consumer: KafkaConsumer[String, String] = new KafkaConsumer[String, String](props)
    consumer.subscribe(util.Collections.singletonList(topic))
    val record = consumer.poll(Duration.ofMillis(500)).asScala.toList

It gives me all the records but the thing is I already have data in kafka consumer which may lead to duplicate data means data with same key can already be there in topic. Is there is any way by which I can retrieve data from a particular time. Means before polling if I can calculate current time and retrieve only those records which came after that time. Any way I can achieve this?

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The only way to consume from any given timestamp is to

  1. Lookup offsetsForTimes
  2. seek to and commitSync that result
  3. Begin polling

But, you need to be conscious that the data stream is continuous and there may again be repeated keys later.


If you have the same key in data, that you would like to only see the latest of, then you'd be better off using a KTable


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