You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "vipin Kumar (Jira)" <ji...@apache.org> on 2024/08/28 05:11:00 UTC
[jira] [Created] (SPARK-49442) Complete Metadata requests on each micro batch causing Kafka issues
vipin Kumar created SPARK-49442:
-----------------------------------
Summary: Complete Metadata requests on each micro batch causing Kafka issues
Key: SPARK-49442
URL: https://issues.apache.org/jira/browse/SPARK-49442
Project: Spark
Issue Type: Bug
Components: Structured Streaming
Affects Versions: 3.3.2
Reporter: vipin Kumar
We have noticed that spark does complete metadata requests on each micro batch and this is causing high metadata requests on small micro batch intervals .
For example Kafka with 1900 partitions and 10 sec micro batch we are seeing order of
~{*}360K{*} metadata requests / sec
Same with job with 60 sec micro batch we are observing *~60K* meta data requests.
Metadata requests are controlled by *metadata.max.age.ms* but these config have no effect on spark consumers by default its 5 mins still we are seeing these huge requests.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org