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Posted to issues@spark.apache.org by "Tomas (JIRA)" <ji...@apache.org> on 2019/02/07 12:14:00 UTC
[jira] [Created] (SPARK-26841) Timestamp pushdown on Kafka table
Tomas created SPARK-26841:
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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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