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From "Tomas (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-26841) Timestamp pushdown on Kafka table
Date Thu, 07 Feb 2019 12:14:00 GMT
Tomas created SPARK-26841:
-----------------------------

             Summary: 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: 2.5.0
            Reporter: Tomas


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 in Kafka in past x minutes",
"what was inserted in 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 is 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 just a minor
impact.



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