Neven Jovic created SPARK-38329:
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Summary: High I/O wait when Spark Structured Streaming checkpoint
changed to EFS
Key: SPARK-38329
URL: https://issues.apache.org/jira/browse/SPARK-38329
Project: Spark
Issue Type: Question
Components: EC2, Input/Output, PySpark, Structured Streaming
Affects Versions: 2.4.6
Reporter: Neven Jovic
Attachments: Screenshot from 2022-02-25 14-16-11.png
I'm currently running spark structured streaming application written in
python(pyspark) where my source is kafka topic and sink i mongodb. I changed my
checkpoint to Amazon EFS, which is distributed on all spark workers and after
that I got increased I/o wait, averaging 8%
!image-2022-02-25-14-42-31-904.png!
Currently I have 6000 messages coming to kafka every second, and I get every
once in a while a WARN message:
{quote}22/02/25 13:12:31 WARN HDFSBackedStateStoreProvider: Error cleaning up
files for HDFSStateStoreProvider[id = (op=0,part=90),dir =
file:/mnt/efs_max_io/spark/state/0/90] java.lang.NumberFormatException: For
input string: ""
{quote}
I'm not quite sure if that message has anything to do with high I/O wait and is
this behavior expected, or something to be concerned about?
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