Using simplified version of your command, I saw the following in shell
output (you may have noticed as well):
An argument ignored (unknown or overridden): BLOOMFILTER
An argument ignored (unknown or overridden): VERSIONS
0 row(s) in 2.1110 seconds
Cheers
On Fri, Aug 8, 2014 at 12:23 PM, Colin Kincaid Williams <disc...@uw.edu>
wrote:
> I have discovered the error. I made the mistake regarding the compression
> and the bloom filter. The new table doesn't have them enabled, and the old
> does. However I'm wondering how I can create tables with splits and bf and
> compression enabled. Shouldn't the following command return an error?
>
> hbase(main):001:0> create 'ADMd5','a',{
>
> hbase(main):002:1* BLOOMFILTER => 'ROW',
> hbase(main):003:1* VERSIONS => '1',
> hbase(main):004:1* COMPRESSION => 'SNAPPY',
> hbase(main):005:1* MIN_VERSIONS => '0',
> hbase(main):006:1* SPLITS =>['/++ASUZm4u7YsTcF/VtK6Q==',
> hbase(main):007:2* '/zyuFR1VmhJyF4rbWsFnEg==',
> hbase(main):008:2* '0sZYnBd83ul58d1O8I2JnA==',
> hbase(main):009:2* '2+03N7IicZH3ltrqZUX6kQ==',
> hbase(main):010:2* '4+/slRQtkBDU7Px6C9MAbg==',
> hbase(main):011:2* '6+1dGCQ/IBrCsrNQXe/9xQ==',
> hbase(main):012:2* '7+2pvtpHUQHWkZJoouR9wQ==',
> hbase(main):013:2* '8+4n2deXhzmrpe//2Fo6Fg==',
> hbase(main):014:2* '9+4SKW/BmNzpL68cXwKV1Q==',
> hbase(main):015:2* 'A+4ajStFkjEMf36cX5D9xg==',
> hbase(main):016:2* 'B+6Zm6Kccb3l6iM2L0epxQ==',
> hbase(main):017:2* 'C+6lKKDiOWl5qrRn72fNCw==',
> hbase(main):018:2* 'D+6dZMyn7m+NhJ7G07gqaw==',
> hbase(main):019:2* 'E+6BrimmrpAd92gZJ5hyMw==',
> hbase(main):020:2* 'G+5tisu4xWZMOJnDHeYBJg==',
> hbase(main):021:2* 'I+7fRy4dvqcM/L6dFRQk9g==',
> hbase(main):022:2* 'J+8ECMw1zeOyjfOg/ypXJA==',
> hbase(main):023:2* 'K+7tenLYn6a1aNLniL6tbg==',]}
> 0 row(s) in 1.8010 seconds
>
> hbase(main):024:0> describe 'ADMd5'
> DESCRIPTION ENABLED
>
> {NAME => 'ADMd5', FAMILIES => [{NAME => 'a', BLOO true
>
> MFILTER => 'NONE', REPLICATION_SCOPE => '0', VERS
>
> IONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS
>
> => '0', TTL => '2147483647', BLOCKSIZE => '65536'
>
> , IN_MEMORY => 'false', BLOCKCACHE => 'true'}]}
>
> 1 row(s) in 0.0420 seconds
>
>
>
> On Thu, Aug 7, 2014 at 5:50 PM, Jean-Marc Spaggiari <
> jean-m...@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 <disc...@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 <
> este...@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 <
> disc...@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
> > > > >
> > > >
> > >
> >
>
