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https://issues.apache.org/jira/browse/HIVE-25079?focusedWorklogId=599830&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-599830
 ]

ASF GitHub Bot logged work on HIVE-25079:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 20/May/21 14:28
            Start Date: 20/May/21 14:28
    Worklog Time Spent: 10m 
      Work Description: klcopp commented on a change in pull request #2281:
URL: https://github.com/apache/hive/pull/2281#discussion_r636158595



##########
File path: 
standalone-metastore/metastore-server/src/main/java/org/apache/hadoop/hive/metastore/HMSMetricsListener.java
##########
@@ -86,4 +92,24 @@ public void onAddPartition(AddPartitionEvent partitionEvent) 
throws MetaExceptio
     
Metrics.getOrCreateGauge(MetricsConstants.TOTAL_PARTITIONS).incrementAndGet();
     createdParts.inc();
   }
+
+  @Override
+  public void onAllocWriteId(AllocWriteIdEvent allocWriteIdEvent, Connection 
dbConn, SQLGenerator sqlGenerator) throws MetaException {
+    Table table = getTable(allocWriteIdEvent);

Review comment:
       Ok. Maybe add some JavaDoc about this so nobody else gets confused... 
but otherwise LGTM then :)




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

    Worklog Id:     (was: 599830)
    Time Spent: 1h 10m  (was: 1h)

> Create new metric about number of writes to tables with manually disabled 
> compaction
> ------------------------------------------------------------------------------------
>
>                 Key: HIVE-25079
>                 URL: https://issues.apache.org/jira/browse/HIVE-25079
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Antal Sinkovits
>            Assignee: Antal Sinkovits
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> Create a new metric that measures the number of writes tables that has 
> compaction turned off manually. It does not matter if the write is committed 
> or aborted (both are bad...)



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