[ https://issues.apache.org/jira/browse/HDFS-16949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Íñigo Goiri resolved HDFS-16949. -------------------------------- Hadoop Flags: Reviewed Resolution: Fixed > Update ReadTransferRate to ReadLatencyPerGB for effective percentile metrics > ---------------------------------------------------------------------------- > > Key: HDFS-16949 > URL: https://issues.apache.org/jira/browse/HDFS-16949 > Project: Hadoop HDFS > Issue Type: Bug > Components: datanode > Reporter: Ravindra Dingankar > Assignee: Ravindra Dingankar > Priority: Minor > Labels: pull-request-available > Fix For: 3.4.0, 3.3.0 > > > HDFS-16917 added ReadTransferRate quantiles to calculate the rate which data > is read per unit of time. > With percentiles the values are sorted in ascending order and hence for the > transfer rate p90 gives us the value where 90 percent rates are lower > (worse), p99 gives us the value where 99 percent values are lower (worse). > Note that value(p90) < p(99) thus p99 is a better transfer rate as compared > to p90. > However as the percentile increases the value should become worse in order to > know how good our system is. > Hence instead of calculating the data read transfer rate, we should calculate > it's inverse. We will instead calculate the time taken for a GB of data to be > read. ( seconds / GB ) > After this the p90 value will give us 90 percentage of total values where the > time taken is less than value(p90), similarly for p99 and others. > Also p(90) < p(99) and here p(99) will become a worse value (taking more time > each byte) as compared to p(90) -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-dev-h...@hadoop.apache.org