You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Tomas (JIRA)" <ji...@apache.org> on 2019/02/07 12:14:00 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 ]
Tomas updated SPARK-26841:
--------------------------
Affects Version/s: (was: 2.5.0)
2.4.0
> 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: 2.4.0
> Reporter: Tomas
> 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 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org