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From "Owen O'Malley (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-5003) When computing absoluet guaranteed capacity (GC) from a percent value, Capacity Scheduler should round up floats, rather than truncate them.
Date Fri, 09 Jan 2009 17:51:59 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-5003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12662444#action_12662444
] 

Owen O'Malley commented on HADOOP-5003:
---------------------------------------

I think rounding down is more appropriate. If you have 10 slots and three queues that each
get 33%, I believe the current algorithm is more stable if they each get 3 slots instead of
4.

> When computing absoluet guaranteed capacity (GC) from a percent value, Capacity Scheduler
should round up floats, rather than truncate them.
> --------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-5003
>                 URL: https://issues.apache.org/jira/browse/HADOOP-5003
>             Project: Hadoop Core
>          Issue Type: Bug
>            Reporter: Vivek Ratan
>            Priority: Minor
>
> The Capacity Scheduler calculates a queue's absolute GC value by getting its percent
of the total cluster capacity (which is a float, since the configured GC% is a float) and
casting it to an int. Casting a float to an int always rounds down. For very small clusters,
this can result in the GC of a queue being one lower than what it should be. For example,
if Q1 has a GC of 50%, Q2 has a GC of 40%, and Q3 has a GC of 10%, and if the cluster capacity
is 4 (as we have, in our test cases), Q1's GC works out to 2, Q2's to 1, and Q3's to 0 with
today's code. Q2's capacity should really be 2, as 40% of 4, rounded up, should be 2. 
> Simple fix is to use Math.round() rather than cast to an int. 

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