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https://issues.apache.org/jira/browse/HDFS-16949?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17700822#comment-17700822
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ASF GitHub Bot commented on HDFS-16949:
---------------------------------------

mkuchenbecker commented on code in PR #5479:
URL: https://github.com/apache/hadoop/pull/5479#discussion_r1137608854


##########
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/datanode/metrics/DataNodeMetrics.java:
##########
@@ -323,10 +323,10 @@ public void addIncrementalBlockReport(long latency,
     }
   }
 
-  public void addReadTransferRate(long readTransferRate) {
-    this.readTransferRate.add(readTransferRate);
-    for (MutableQuantiles q : readTransferRateQuantiles) {
-      q.add(readTransferRate);
+  public void addReadLatencyPerGB(long readLatencyPerGB) {
+    this.readLatencyPerGB.add(readLatencyPerGB);
+    for (MutableQuantiles q : readLatencyPerGBQuantiles) {

Review Comment:
   Why don't we modify these quantiles rather than the metric? 
   
   I think we have the metric we want, but we want the `lowest` vs `highest` 
percentile (ts clear the current percentile is lower=better).





> 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: 3.3.0, 3.4.0
>
>
> 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)



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