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Al M commented on SPARK-5768: ----------------------------- So when it says *Memory Used* 3.2GB / 20GB it actually means we are using 3.2GB of memory for caching out of a total 20GB available for caching? Calling the the column 'Storage Memory' this would be clearer to me. If changing the heading of the column is not an option then a tooltip explaining that it is referring to memory used for storage. I'd find it pretty useful to have another column that shows my total memory usage. Right now I can only see this by running 'free' or 'top' every machine or looking at the Yarn UI. > Spark UI Shows incorrect memory under Yarn > ------------------------------------------ > > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org