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https://issues.apache.org/jira/browse/HBASE-15557?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16864393#comment-16864393
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Hudson commented on HBASE-15557:
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Results for branch branch-2
[build #1997 on
builds.a.o|https://builds.apache.org/job/HBase%20Nightly/job/branch-2/1997/]:
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> Add guidance on HashTable/SyncTable to the RefGuide
> ---------------------------------------------------
>
> Key: HBASE-15557
> URL: https://issues.apache.org/jira/browse/HBASE-15557
> Project: HBase
> Issue Type: Bug
> Components: documentation
> Affects Versions: 1.2.0
> Reporter: Sean Busbey
> Assignee: Wellington Chevreuil
> Priority: Critical
> Fix For: 3.0.0
>
> Attachments: HBASE-15557.master.001.patch,
> HBASE-15557.master.002.patch
>
>
> The docs for SyncTable are insufficient. Brief description from [~davelatham]
> HBASE-13639 comment:
> {quote}
> Sorry for the lack of better documentation, Abhishek Soni. Thanks for
> bringing it up. I'll try to provide a better explanation. You may have
> already seen it, but if not, the design doc linked in the description above
> may also give you some better clues as to how it should be used.
> Briefly, the feature is intended to start with a pair of tables in remote
> clusters that are already substantially similar and make them identical by
> comparing hashes of the data and copying only the diffs instead of having to
> copy the entire table. So it is targeted at a very specific use case (with
> some work it could generalize to cover things like CopyTable and
> VerifyRepliaction but it's not there yet). To use it, you choose one table to
> be the "source", and the other table is the "target". After the process is
> complete the target table should end up being identical to the source table.
> In the source table's cluster, run
> org.apache.hadoop.hbase.mapreduce.HashTable and pass it the name of the
> source table and an output directory in HDFS. HashTable will scan the source
> table, break the data up into row key ranges (default of 8kB per range) and
> produce a hash of the data for each range.
> Make the hashes available to the target cluster - I'd recommend using DistCp
> to copy it across.
> In the target table's cluster, run
> org.apache.hadoop.hbase.mapreduce.SyncTable and pass it the directory where
> you put the hashes, and the names of the source and destination tables. You
> will likely also need to specify the source table's ZK quorum via the
> --sourcezkcluster option. SyncTable will then read the hash information, and
> compute the hashes of the same row ranges for the target table. For any row
> range where the hash fails to match, it will open a remote scanner to the
> source table, read the data for that range, and do Puts and Deletes to the
> target table to update it to match the source.
> I hope that clarifies it a bit. Let me know if you need a hand. If anyone
> wants to work on getting some documentation into the book, I can try to write
> some more but would love a hand on turning it into an actual book patch.
> {quote}
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