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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/16 22:54:07 UTC
[jira] [Updated] (SPARK-26841) Timestamp pushdown on Kafka table
[ https://issues.apache.org/jira/browse/SPARK-26841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-26841:
----------------------------------
Affects Version/s: (was: 3.0.0)
3.1.0
> 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: 3.1.0
> 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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