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https://issues.apache.org/jira/browse/SPARK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-5768:
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Component/s: (was: YARN)
Web UI
Issue Type: Improvement (was: Bug)
It sounds like you are looking at the memory available for caching, which is
~0.54 (0.6*0.9) of the total. It's correct in that sense, but this is a common
misconception. I suggest this track suggesting a small UI change to make this
clearer. What do you think would be clearer?
Spark UI Shows incorrect memory under Yarn
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Key: SPARK-5768
URL: https://issues.apache.org/jira/browse/SPARK-5768
Project: Spark
Issue Type: Improvement
Components: Web UI
Affects Versions: 1.2.0, 1.2.1
Environment: Centos 6
Reporter: Al M
Priority: Trivial
I am running Spark on Yarn with 2 executors. The executors are running on
separate physical machines.
I have spark.executor.memory set to '40g'. This is because I want to have
40g of memory used on each machine. I have one executor per machine.
When I run my application I see from 'top' that both my executors are using
the full 40g of memory I allocated to them.
The 'Executors' tab in the Spark UI shows something different. It shows the
memory used as a total of 20GB per executor e.g. x / 20.3GB. This makes it
look like I only have 20GB available per executor when really I have 40GB
available.
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