Yongjia Wang created SPARK-10912:
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Summary: Improve Spark metrics executor.filesystem
Key: SPARK-10912
URL: https://issues.apache.org/jira/browse/SPARK-10912
Project: Spark
Issue Type: Improvement
Affects Versions: 1.5.0
Reporter: Yongjia Wang
In org.apache.spark.executor.ExecutorSource it has 2 filesystem metrics: "hdfs"
and "file". I started using s3 as the persistent storage with Spark standalone
cluster in EC2, and s3 read/write metrics do not appear anywhere. The 'file'
metric appears to be only for driver reading local file, it would be nice to
also report shuffle read/write metrics, so it can help understand things like
if a Spark job becomes IO bound.
I think these 2 things (s3 and shuffle) are very useful and cover all the
missing information about Spark IO especially for s3 setup.
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