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https://issues.apache.org/jira/browse/SPARK-26841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-26841:
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Affects Version/s: (was: 2.4.0)
3.0.0
> Timestamp pushdown on Kafka table
> ---------------------------------
>
> Key: SPARK-26841
> URL: https://issues.apache.org/jira/browse/SPARK-26841
> Project: Spark
> Issue Type: Improvement
> Components: Input/Output
> Affects Versions: 3.0.0
> Reporter: Tomas Bartalos
> Priority: Major
> Labels: Kafka, pushdown, timestamp
>
> As a Spark user I'd like to have fast queries on Kafka table restricted by
> timestamp.
> I'd like to have quick answers on questions like:
> * What was inserted to Kafka in past x minutes
> * What was inserted to Kafka in specified time range
> Example:
> {quote}select * from kafka_table where timestamp >
> from_unixtime(unix_timestamp() - 5 * 60, "YYYY-MM-dd HH:mm:ss")
> select * from kafka_table where timestamp > $from_time and timestamp <
> $end_time
> {quote}
> Currently timestamp restrictions are not pushdown to KafkaRelation and
> querying by timestamp on a large Kafka topic takes forever to complete.
> *Technical solution*
> Technically its possible to retrieve Kafka's offsets by provided timestamp
> with org.apache.kafka.clients.consumer.Consumer#offsetsForTimes(..) method.
> Afterwards we can query Kafka topic by retrieved timestamp ranges.
> Querying by timestamp range is already implemented so this change should have
> minor impact.
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