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Andrew Jorgensen updated MESOS-3090: ------------------------------------ Description: My mesos worker pool consists of 4 core machines in AWS. When I look at the calculated amount of CPU that each machine is offering it looks like {quote} "name":"cpus", "scalar":3.9999999999999973 {quote} It feels like this number should be rounded up to the nearest thousands so that a job does not need to specify 3.9 CPU but can just specify the full 4. This can be remedied by adding the following to the worker machines: {quote} --resources='cpus:4' {quote} But this would be hard to manage if the worker pool is at all heterogenous. was: My mesos worker pool consists of 4 core machines in AWS. When I look at the calculated amount of CPU that each machine is offering it looks like {quote} "resources":[ { "name":"cpus", "scalar":3.9999999999999973 }, {quote} It feels like this number should be rounded up to the nearest thousands so that a job does not need to specify 3.9 CPU but can just specify the full 4. This can be remedied by adding the following to the worker machines: {quote} --resources='cpus:4' {quote} But this would be hard to manage if the worker pool is at all heterogenous. > Calculated CPU should be rounded > -------------------------------- > > Key: MESOS-3090 > URL: https://issues.apache.org/jira/browse/MESOS-3090 > Project: Mesos > Issue Type: Bug > Reporter: Andrew Jorgensen > > My mesos worker pool consists of 4 core machines in AWS. When I look at the > calculated amount of CPU that each machine is offering it looks like > {quote} > "name":"cpus", > "scalar":3.9999999999999973 > {quote} > It feels like this number should be rounded up to the nearest thousands so > that a job does not need to specify 3.9 CPU but can just specify the full 4. > This can be remedied by adding the following to the worker machines: > {quote} > --resources='cpus:4' > {quote} > But this would be hard to manage if the worker pool is at all heterogenous. -- This message was sent by Atlassian JIRA (v6.3.4#6332)