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https://issues.apache.org/jira/browse/HADOOP-1869?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12623805#action_12623805
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Raghu Angadi commented on HADOOP-1869:
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> The in-memory inode is updated with the accesstime of 1PM. But it is not 
> recorded in the transaction log. 
 
It _is_ recorded in the transaction log at this time (assuming it was not 
accessed in 24 hours prior to that). 

> When it is 1 PM tomorrow, the system has to remember that /tmp/foo needs to 
> be flushed. How does this occur? [...]

It does not need to remember, since the transaction was written at 1 PM 
previous day.

I am trying to see if I am missing something here. Note that effect of not 
sync-ing the editslog file for each access is same as before.

> access times of HDFS files
> --------------------------
>
>                 Key: HADOOP-1869
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1869
>             Project: Hadoop Core
>          Issue Type: New Feature
>          Components: dfs
>            Reporter: dhruba borthakur
>            Assignee: dhruba borthakur
>
> HDFS should support some type of statistics that allows an administrator to 
> determine when a file was last accessed. 
> Since HDFS does not have quotas yet, it is likely that users keep on 
> accumulating files in their home directories without much regard to the 
> amount of space they are occupying. This causes memory-related problems with 
> the namenode.
> Access times are costly to maintain. AFS does not maintain access times. I 
> thind DCE-DFS does maintain access times with a coarse granularity.
> One proposal for HDFS would be to implement something like an "access bit". 
> 1. This access-bit is set when a file is accessed. If the access bit is 
> already set, then this call does not result in a transaction.
> 2. A FileSystem.clearAccessBits() indicates that the access bits of all files 
> need to be cleared.
> An administrator can effectively use the above mechanism (maybe a daily cron 
> job) to determine files that are recently used.

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