You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Gabor Somogyi (JIRA)" <ji...@apache.org> on 2019/03/04 09:26:00 UTC
[jira] [Updated] (SPARK-27042) Query fails if task is failing due
to corrupt cached Kafka producer
[ https://issues.apache.org/jira/browse/SPARK-27042?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Gabor Somogyi updated SPARK-27042:
----------------------------------
Description: If a task is failing due to a cached Kafka producer and the task is retried in the same executor then the task is getting the same KafkaProducer over and over again unless it's invalidated with the timeout configured by "spark.kafka.producer.cache.timeout" which is not really probable. After several retries the query stops. (was: If a task is failing due to a cached Kafka producer and the task is retied in the same executor then the task is getting the same KafkaProducer over and over again unless it's invalidated with the timeout configured by "spark.kafka.producer.cache.timeout" which is not really probable. After several retries the query stops.)
> Query fails if task is failing due to corrupt cached Kafka producer
> -------------------------------------------------------------------
>
> Key: SPARK-27042
> URL: https://issues.apache.org/jira/browse/SPARK-27042
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.1.3, 2.2.3, 2.3.3, 2.4.0, 3.0.0
> Reporter: Gabor Somogyi
> Priority: Major
>
> If a task is failing due to a cached Kafka producer and the task is retried in the same executor then the task is getting the same KafkaProducer over and over again unless it's invalidated with the timeout configured by "spark.kafka.producer.cache.timeout" which is not really probable. After several retries the query stops.
--
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