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https://issues.apache.org/jira/browse/HADOOP-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12488704
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Doug Cutting commented on HADOOP-1134:
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> This does not work when an existing file contains blocks with a size which is 
> not a multiple of bytesPerChecksum.

I'd be surprised if there are many files, if any, in this state, but it is 
technically possible, so we should consider it.  It would be easy to write a 
program that scanned a filesystem to see which file's block size is not evenly 
divisible by its bytesPerChecksum.

> In this case, a data node may have to verify block data first and then 
> regenerates the checksums.

Yes, that would be best.  It'd be nice to know if this actually occurs before 
we implement that however.

> Block level CRCs in HDFS
> ------------------------
>
>                 Key: HADOOP-1134
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1134
>             Project: Hadoop
>          Issue Type: New Feature
>          Components: dfs
>            Reporter: Raghu Angadi
>         Assigned To: Raghu Angadi
>
> Currently CRCs are handled at FileSystem level and are transparent to core 
> HDFS. See recent improvement HADOOP-928 ( that can add checksums to a given 
> filesystem ) regd more about it. Though this served us well there a few 
> disadvantages :
> 1) This doubles namespace in HDFS ( or other filesystem implementations ). In 
> many cases, it nearly doubles the number of blocks. Taking namenode out of 
> CRCs would nearly double namespace performance both in terms of CPU and 
> memory.
> 2) Since CRCs are transparent to HDFS, it can not actively detect corrupted 
> blocks. With block level CRCs, Datanode can periodically verify the checksums 
> and report corruptions to namnode such that name replicas can be created.
> We propose to have CRCs maintained for all HDFS data in much the same way as 
> in GFS. I will update the jira with detailed requirements and design. This 
> will include same guarantees provided by current implementation and will 
> include a upgrade of current data.
>  

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