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From tobe <tobeg3oo...@gmail.com>
Subject Re: Large discrepancy in hdfs hbase rootdir size after copytable operation.
Date Fri, 08 Aug 2014 02:17:43 GMT
I can't repro this problem when I ran CopyTable. You could just "-du" to
see the sizes of all files.


On Fri, Aug 8, 2014 at 8:50 AM, Jean-Marc Spaggiari <jean-marc@spaggiari.org
> wrote:

> Hi Colin,
>
> Just to make sure.
>
> Is table A from the source cluster and not compressed, and table B in the
> destination cluster and SNAPPY compressed? Is that correct? Then ratio
> should be the opposite. Are you able to du -h from hadoop to see if all
> regions are evenly bigger or if anything else is wrong?
>
>
> 2014-08-07 20:44 GMT-04:00 Colin Kincaid Williams <discord@uw.edu>:
>
> > I haven't yet tried to major compact table B. I will look up some
> > documentation on WALs and snapshots to find this information in the hdfs
> > filesystem tomorrow. Could it be caused by the bloomfilter existing on
> > table B, but not table A? The funny thing is the source table is smaller
> > than the destination.
> >
> >
> > On Thu, Aug 7, 2014 at 4:50 PM, Esteban Gutierrez <esteban@cloudera.com>
> > wrote:
> >
> > > Hi Colin,
> > >
> > > Have you verified if the content of /a_d includes WALs and/or the
> content
> > > of the snapshots or the HBase archive? have you tried to major compact
> > > table B?  does it makes any difference?
> > >
> > > regards,
> > > esteban.
> > >
> > >
> > >
> > > --
> > > Cloudera, Inc.
> > >
> > >
> > >
> > > On Thu, Aug 7, 2014 at 2:00 PM, Colin Kincaid Williams <discord@uw.edu
> >
> > > wrote:
> > >
> > > > I used the copy table command to copy a database between the original
> > > > cluster A and a new cluster B. I have noticed that the rootdir is
> > larger
> > > > than 2X the size of the original. I am trying to account for such a
> > large
> > > > difference. The following are some details about the table.
> > > >
> > > >
> > > > I'm trying to figure out why my copied table is more than 2X the size
> > of
> > > > the original table. Could the bloomfilter itself account for this?
> > > >
> > > > The guide I used as a reference:
> > > >
> > > >
> > >
> >
> http://blog.pivotal.io/pivotal/products/migrating-an-apache-hbase-table-between-different-clusters
> > > >
> > > >
> > > >
> > > > Supposedly the original command used to create the table on cluster
> A:
> > > >
> > > > create 'ADMd5', {NAME => 'a', BLOOMFILTER => 'ROW', VERSIONS =>
'1',
> > > > COMPRESSION => 'SNAPPY', MIN_VERSIONS => '0'}
> > > >
> > > >
> > > > How I created the target table on cluster B:
> > > >
> > > > create 'ADMd5','a',{
> > > >
> > > >
> > > >
> > > > BLOOMFILTER => 'ROW',
> > > > VERSIONS => '1',
> > > > COMPRESSION => 'SNAPPY',
> > > > MIN_VERSIONS => '0',
> > > > SPLITS =>['/++ASUZm4u7YsTcF/VtK6Q==',
> > > > '/zyuFR1VmhJyF4rbWsFnEg==',
> > > > '0sZYnBd83ul58d1O8I2JnA==',
> > > > '2+03N7IicZH3ltrqZUX6kQ==',
> > > > '4+/slRQtkBDU7Px6C9MAbg==',
> > > > '6+1dGCQ/IBrCsrNQXe/9xQ==',
> > > > '7+2pvtpHUQHWkZJoouR9wQ==',
> > > > '8+4n2deXhzmrpe//2Fo6Fg==',
> > > > '9+4SKW/BmNzpL68cXwKV1Q==',
> > > > 'A+4ajStFkjEMf36cX5D9xg==',
> > > > 'B+6Zm6Kccb3l6iM2L0epxQ==',
> > > > 'C+6lKKDiOWl5qrRn72fNCw==',
> > > > 'D+6dZMyn7m+NhJ7G07gqaw==',
> > > > 'E+6BrimmrpAd92gZJ5hyMw==',
> > > > 'G+5tisu4xWZMOJnDHeYBJg==',
> > > > 'I+7fRy4dvqcM/L6dFRQk9g==',
> > > > 'J+8ECMw1zeOyjfOg/ypXJA==',
> > > > 'K+7tenLYn6a1aNLniL6tbg==']}
> > > >
> > > >
> > > > How the tables now appear in hbase shell:
> > > >
> > > > table A:
> > > >
> > > > describe 'ADMd5'
> > > > DESCRIPTION
> > > >
> > > >   ENABLED
> > > >
> > > >  {NAME => 'ADMd5', FAMILIES => [{NAME => 'a', BLOOMFILTER =>
'NONE',
> > > > REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION => 'NONE',
> > MIN_VER
> > > > true
> > > >
> > > >  SIONS => '0', TTL => '2147483647', BLOCKSIZE => '65536', IN_MEMORY
> =>
> > > > 'false', BLOCKCACHE => 'true'}]}
> > > >
> > > >
> > > > 1 row(s) in 0.0370 seconds
> > > >
> > > >
> > > > table B:
> > > >
> > > > hbase(main):003:0> describe 'ADMd5'
> > > > DESCRIPTION
> > > >
> > > >   ENABLED
> > > >
> > > >  {NAME => 'ADMd5', FAMILIES => [{NAME => 'a', BLOOMFILTER =>
'ROW',
> > > > REPLICATION_SCOPE => '0', VERSIONS => '1', COMPRESSION => 'SNAPPY',
> > > MIN_VE
> > > > true
> > > >
> > > >  RSIONS => '0', TTL => '2147483647', BLOCKSIZE => '65536', IN_MEMORY
> =>
> > > > 'false', BLOCKCACHE => 'true'}]}
> > > >
> > > >
> > > > 1 row(s) in 0.0280 seconds
> > > >
> > > >
> > > >
> > > > The containing foldersize in hdfs:
> > > > table A:
> > > > sudo -u hdfs hadoop fs -dus -h /a_d
> > > > dus: DEPRECATED: Please use 'du -s' instead.
> > > > 227.4g  /a_d
> > > >
> > > > table B:
> > > > sudo -u hdfs hadoop fs -dus -h /a_d
> > > > dus: DEPRECATED: Please use 'du -s' instead.
> > > > 501.0g  /a_d
> > > >
> > > >
> > > > https://gist.github.com/drocsid/80bba7b6b19d64fde6c2
> > > >
> > >
> >
>

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