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https://issues.apache.org/jira/browse/HDFS-16967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17708119#comment-17708119
 ] 

ASF GitHub Bot commented on HDFS-16967:
---------------------------------------

virajjasani commented on code in PR #5523:
URL: https://github.com/apache/hadoop/pull/5523#discussion_r1156450948


##########
hadoop-hdfs-project/hadoop-hdfs-rbf/src/main/java/org/apache/hadoop/hdfs/server/federation/store/driver/impl/StateStoreFileBaseImpl.java:
##########
@@ -227,7 +270,23 @@ public <T extends BaseRecord> QueryResult<T> get(Class<T> 
clazz)
     if (metrics != null) {
       metrics.addRead(monotonicNow() - start);
     }
-    return new QueryResult<T>(ret, getTime());
+    return new QueryResult<>(result, getTime());
+  }
+
+  private <T extends BaseRecord> Void 
getRecordsFromFileAndRemoveOldTmpRecords(Class<T> clazz,

Review Comment:
   Done, thanks.
   Since the method name already seems long enough, directly added to the 
Javadoc. Sounds good?





> RBF: File based state stores should allow concurrent access to the records
> --------------------------------------------------------------------------
>
>                 Key: HDFS-16967
>                 URL: https://issues.apache.org/jira/browse/HDFS-16967
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>            Reporter: Viraj Jasani
>            Assignee: Viraj Jasani
>            Priority: Major
>              Labels: pull-request-available
>
> File based state store implementations (StateStoreFileImpl and 
> StateStoreFileSystemImpl) should allow updating as well as reading of the 
> state store records concurrently rather than serially. Concurrent access to 
> the record files on the hdfs based store seems to be improving the state 
> store cache loading performance by more than 10x.
> For instance, in order to maintain data integrity, when any mount table 
> record(s) is updated, the cache is reloaded. This reload operation seems to 
> be able to gain significant performance improvement by the concurrent access 
> of the mount table records.



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