Ravindra Dingankar created HDFS-16956: -----------------------------------------
Summary: Introduce inverse quantiles for metrics where higher numeric value is better Key: HDFS-16956 URL: https://issues.apache.org/jira/browse/HDFS-16956 Project: Hadoop HDFS Issue Type: Bug Components: datanode, metrics Affects Versions: 3.3.0, 3.4.0 Reporter: Ravindra Dingankar Currently quantiles are used for latencies, where lower numeric value is better. Hence p90 gives us a value val(p90) such that 90% of our sample set has a value better (lower) than val(p90) However for metrics such as calculating transfer rates (eg : HDFS-16917 ) higher numeric value is better. Thus for such metrics the current quantiles dont work. For these metrics in order for p90 to give a value val(p90) where 90% of the sample set is better (higher) than val(p90) we need to inverse the selection by choosing a value at the (100 - 90)th location instead of the usual 90th position. -- 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