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https://issues.apache.org/jira/browse/HIVE-25165?focusedWorklogId=606387&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-606387
 ]

ASF GitHub Bot logged work on HIVE-25165:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 04/Jun/21 06:05
            Start Date: 04/Jun/21 06:05
    Worklog Time Spent: 10m 
      Work Description: ayushtkn commented on a change in pull request #2321:
URL: https://github.com/apache/hive/pull/2321#discussion_r645311778



##########
File path: ql/src/java/org/apache/hadoop/hive/ql/parse/repl/ReplLogger.java
##########
@@ -47,4 +48,8 @@ public void dataCopyLog(String message) {
 
   public void setParams(String dbName, String dumpDirectory, long numTables, 
long numFunctions) {
   }
+
+  public ReplStatsTracker getReplStatsTracker() {

Review comment:
       Added a NoOpReplStatTracker as suggested 

##########
File path: 
ql/src/java/org/apache/hadoop/hive/ql/parse/repl/metric/event/Stage.java
##########
@@ -35,6 +35,7 @@
   private Map<String, Metric> metrics = new HashMap<>();
   private String errorLogPath;
   private SnapshotUtils.ReplSnapshotCount replSnapshotCount = new 
SnapshotUtils.ReplSnapshotCount();
+  private String replStats = "";

Review comment:
       Done




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 606387)
    Time Spent: 40m  (was: 0.5h)

> Generate & track statistics per event type for incremental load in 
> replication metrics
> --------------------------------------------------------------------------------------
>
>                 Key: HIVE-25165
>                 URL: https://issues.apache.org/jira/browse/HIVE-25165
>             Project: Hive
>          Issue Type: Improvement
>            Reporter: Ayush Saxena
>            Assignee: Ayush Saxena
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> Generate and track statistics like mean, median. standard deviation, variance 
> etc per event type during incremental load and store them in replication 
> statisticsĀ 



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