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The "Hbase/HowToMigrate" page has been changed by Misty:
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- = Migration in General =
+ The HBase Wiki is in the process of being decommissioned. The info that used 
to be on this page has moved to https://hbase.apache.org/book.html#upgrading. 
Please update your bookmarks.
  
- In general, performing a HBase migration will consist of the following steps:
- 
-  * Shut down the old instance of HBase.
-  * If necessary, upgrade the underlying version of Hadoop to the version 
required by the new instance of HBase.  Refer to the 
[[http://wiki.apache.org/hadoop/Hadoop_Upgrade|Hadoop Upgrade]] page.
-  * Optionally backup your hbase.rootdir.
-  * Download and configure the new instance of HBase.  Make sure you configure 
the ''hbase.rootdir'' of the new instance to be the same as that from the old 
instance.
-  * From the new instance of HBase, perform the HBase migration.  Run 
{{{{$HBASE_HOME}/bin/hbase migrate}}} for usage.  See the version-specific 
notes below for more specific information on this process.
-  * Start the new instance of HBase.
- 
- If you would like to learn more about the HBase Migration design, see 
[[http://wiki.apache.org/hadoop/Hbase/Migration|HBase Migration]]
- 
- Below are general migration notes followed by specifics on how to migrate 
between particular versions, newest to oldest.
- 
- == General Migration Notes ==
- 
- Migration is only supported between the file system version of the previous 
release and the file system version of the current release. If the existing 
HBase installation has an older file system version, it will be necessary to 
install a HBase release which can perform the upgrade, run the migration tool 
and then install the desired release and run its migration script. (Note that 
if the existing installation is several versions old, it may be necessary to 
repeat this process).
- 
- == Version-Specific Migration Notes ==
- 
- <<Anchor(90)>>
- ===  From 0.20.x to 0.90.x (or to 0.89.x) ===
- 
- Nothing special is needed going between the two versions.  You should be able 
to just shutdown your 0.20.x cluster, install 0.90.x (or 0.89.x), REMOVE 
conf/hbase-default.xml (its now inside the hbase jar; and old 0.20.x 
hbase-default.xml actually has config damaging to hbase 0.90.x), review 
hbase-site.xml so it only references config. that is in 0.90.x -- see 
[[http://hbase.apache.org/configuration.html#hbase_default_configurations|0.90.x
 hbase-default.xml]] -- and restart.
- 
- You cannot go back once you've moved to 0.90.x/0.89.x.
- 
- 
- === From 0.19.x to 0.20.x ===
- 
- Please read the below carefully.
- 
- You can only migrate to 0.20.x from 0.19.x.  If you have an earlier hbase, 
you will need to install 0.19, migrate your old instance, and then install 
0.20.x.
- 
- This migration rewrites all data.  It will take a while.
- 
- Compression settings have changed in 0.20.x.  By default, migration will 
disable compression setting all column families to no compression.  You can 
enable manually post-compression.  Beginning with HBase 0.20.2, you can set a 
"migrate.compression" property in hbase-site.xml to LZO or GZ to have all of 
your table migrated to that compression setting automatically. See 
[[http://wiki.apache.org/hadoop/UsingLzoCompression|Using Lzo Compression]] for 
instructions to add LZO support to your cluster.
- 
- 
- ==== Preparing for Migration ====
- 
- You MUST do a few things first before you can begin migration of either 
hadoop or hbase.
- 
- ===== Update to the HEAD of the 0.19 branch =====
- 
- Among its fixes are explicit fixes to help the migration.
- 
- ===== Major Compacting all Tables =====
- Before you begin, you MUST run a major compaction on all tables including 
.META. table.  A major compaction compacts all store files in a family together 
dropping deleted and expired cells.  Major compaction is necessary because the 
way deletes work changed in 0.20 hbase.  Migration will not work without your 
completing major compaction.  Use the shell to start up major compactions.  For 
example, the below cluster has only one table named 'a'.  See how we run a 
major_compaction on each:
- 
- {{{
- stack@connelly:~/checkouts/hbase/branches/0.19$ ./bin/hbase shell
- HBase Shell; enter 'help<RETURN>' for list of supported commands.
- Version: 0.19.4, r781868, Tue Jul 14 11:27:58 PDT 2009
- hbase(main):001:0> list
- a                                                                             
                                 
- 2 row(s) in 0.1251 seconds
- hbase(main):002:0> major_compact 'a'
- 0 row(s) in 0.0400 seconds
- hbase(main):003:0> major_compact '.META.'
- 0 row(s) in 0.0245 seconds
- hbase(main):004:0> major_compact '-ROOT-'
- 0 row(s) in 0.0173 seconds
- }}}
- 
- In the above, the compaction took no time.  The case will likely be different 
for you if you have big tables.
- 
- The way to confirm that the major compaction completed is to do a listing of 
the hbase rootdir in hdfs.  For each region on the filesystem, each of its 
stores should have one mapfile only if major compaction succeeded.  For 
example, below we list whats under the 'a' table directory under the hbase 
rootdir:
- 
- {{{
- /tmp/hbase-stack/hbase/a
- /tmp/hbase-stack/hbase/a/1833721875
- /tmp/hbase-stack/hbase/a/1833721875/a
- /tmp/hbase-stack/hbase/a/1833721875/a/info
- /tmp/hbase-stack/hbase/a/1833721875/a/info/8167759949199600085
- /tmp/hbase-stack/hbase/a/1833721875/a/info/.8167759949199600085.crc
- /tmp/hbase-stack/hbase/a/1833721875/a/mapfiles
- /tmp/hbase-stack/hbase/a/1833721875/a/mapfiles/8167759949199600085
- /tmp/hbase-stack/hbase/a/1833721875/a/mapfiles/8167759949199600085/data
- /tmp/hbase-stack/hbase/a/1833721875/a/mapfiles/8167759949199600085/.data.crc
- /tmp/hbase-stack/hbase/a/1833721875/a/mapfiles/8167759949199600085/.index.crc
- /tmp/hbase-stack/hbase/a/1833721875/a/mapfiles/8167759949199600085/index
- }}}
- 
- There is one column family in this table named 'a' (unfortunately, since it 
muddles the example, the table name is also 'a').  The table has one region 
whose encoded name is 1833721875.  Under this region directory, there are 
family directories -- in this case there is one for the 'a' family -- and under 
each family directory, there is the {{{info}}} -- for store file metadata -- 
and the {{{mapfiles}}} directories.  There is only one mapfile in our case 
above, named 8167759949199600085 (MapFiles are made of data and index files).
- 
- You cannot migrate unless all has been major compacted first.  
- 
- -ROOT- and .META. flush frequently so they can mess up your nice and tidy 
single-file per store major_compacted hbase layout.  They won't flush if there 
have not been edits so, make sure your cluster is not taking writes and hasn't 
been doing so for a good while before starting up the major compaction process. 
 Getting your cluster to shutdown with one file only in -ROOT- and .META. may 
be a bit tough so to help, facility has been added to the HEAD of the 0.19 
branch that will allow you major compact catalog regions in a shutdown hbase.  
This facility only works on the -ROOT- and .META. catalog tables, not on user 
space tables.  For usage, type:
- 
- {{{./bin/hbase org.apache.hadoop.hbase.regionserver.HRegion}}}
- 
- For example, to major compact the -ROOT-:
- 
- {{{$ ./bin/hbase org.apache.hadoop.hbase.regionserver.HRegion 
hdfs://www.example.com:9000/hbasetrunk2/-ROOT- major_compact}}}
- 
- Don't forget the 'major_compact' off the end else it just lists out the 
content of the region.
- 
- I had to copy the hadoop-site.xml to a location where it would be picked up 
by the above script -- e.g. from my hadoop 0.19 install to my 
{{{$HBASE_HOME/conf}}} -- so the above script could find the right HDFS 
otherwise it was going against local filesystem.
- 
- In the head of 0.19 is a tool that will tell you if you have successfully 
major compacted your 0.19 data:
- 
- {{{$ ./bin/hbase org.apache.hadoop.hbase.util.FSUtils}}}
- 
- It will print out:
- 
- {{{majorCompacted=true}}}
- 
- If it prints false, do a {{{bin/hbase fs -lsr /}}} on your hbase directory 
and figure out what hasn't been major compacted.  If a catalog table -- -ROOT- 
or .META. -- then use the above HRegion tool to compact.  Otherwise, start up 
0.19 again, fire up shell and try major compact again. If you have more regions 
on FS (reported in Master's UI) than assigned regions, you have to use the tool 
attached [[https://issues.apache.org/jira/browse/HBASE-1801|here]].
- 
- ==== Migrating tableindexed tables (ITHBase) ====
- The index schema location has changed formats from 0.19 to 0.20. To migrate 
indexed tables you must run a migration on 0.19. With hbase up, run
- {{{$ ./bin/hbase 
org.apache.hadoop.hbase.client.tableindexed.migration.MoveIndexMetaData}}}
- This tool is in the head of the 0.19 branch. You should do this before you do 
the major compaction step above.
- 
- 
- ===== Can you back up your data? =====
- Migration has been tested but if you have sufficient space in hdfs to make a 
copy of your hbase rootdir, do so.  Just in case.  Use hdfs distcp.
- 
- ==== Migrating ====
- 
- Migrate hadoop. Refer to the 
[[http://wiki.apache.org/hadoop/Hadoop%20Upgrade|Hadoop Upgrade]] page.
- 
- Migrate HBase.  The bulk of the time involved migration is the rewriting of 
the hbase storefiles from their 0.19 format into the new 0.20 format.  Each 
rewrite takes about 6-10 seconds.  In the filesystem, count roughly how many 
regions you have (or get it off the UI).  Multiple regions * 10 seconds.  If 
the migration will take longer than you are prepared to wait, there is a 
mapreduce job to do the file convertions only:
- 
- {{{$./bin/hadoop jar hbase-0.20.x.jar hsf2sf}}}
- 
- This job takes an empty input and output directory.  It will first run 
through your filesystem to find all mapfiles to convert, write a file to the 
input directory listing all files, and then startup the mapreduce job to do the 
convertions.
- 
- Here is how to you'd run a job that had /tmp/input and /tmp/output as input 
and output directories and that specified a split size of about 1k per map:
- 
- {{{$./bin/hadoop jar ../trunk/build/hbase-0.20.0-dev.jar hsf2sf 
-Dmapred.max.split.size=1024 /tmp/input /tmp/output}}}
- 
- If you don't set mapred.max.split.size down from default, you'll likely end 
up with one map only doing all rewrites.
- 
- Now, run the hbase migration script.  If you have run the mapreduce job, it 
will notice that all storefiles have been rewritten and will skip the rewrite 
step.  Otherwise, the migration script first does this convertion.
- 
- BEFORE you start, set the following hbase-site.xml parameter, 
{{{hbase.hregion.memstore.block.multiplier}}}, to 100 (Don't forget to set it 
back down when the migration finishes).
- 
- Run the migrate as follows:
- 
- {{{$./bin/hbase migrate upgrade}}}
- 
- 
- ==== Post-Migration ====
- Make sure you replace all under {{{$HBASE_HOME/conf}}} with files from the 
new release.  For example, be sure to replace your old hbase-default.xml with 
the version from the new hbase release.
- 
- Read the new 'Getting Started' carefully before starting up your cluster.  
Basic configuration properties have changed.  For example 
{{{hbase.master}}}/{{{hbase.master.hostname}}} is no longer used.  They are 
replaced by {{{hbase.cluster.distributed}}}.  See the 'Getting Started' for 
detail on how to set the new properties.  While your cluster will likely come 
up on the old configuration settings, you should move to the new configuration.
- 
- == From 0.1.x to 0.2.x or 0.18.x ==
- 
- The following are step-by-step instructions for migrating from HBase 0.1 to 
0.2 or 0.18.  Migration from 0.1 to 0.2 requires an upgrade from Hadoop 0.16 to 
0.17, and migration from 0.1 to 0.18 requires an upgrade from Hadoop 0.16 to 
0.18. The [[http://wiki.apache.org/hadoop/Hadoop%20Upgrade|Hadoop Upgrade 
Instructions]] are slightly out-of-date (as of this writing, September 2008).  
As such, the below instructions also clarify the necessary steps for upgrading 
Hadoop.
- 
- Assume Hadoop 0.16 and HBase 0.1 are already running with data you wish 
migrate to HBase 0.2.
-  * Stop HBase 0.1.
-  * From the [[http://wiki.apache.org/hadoop/Hadoop%20Upgrade|Hadoop Upgrade 
Instructions]], perform steps 1-4 and 9-10 (and optionally 5-8, 11-12) on your 
instance of Hadoop 0.16.
-  * Run {{{{$HADOOP_HOME_0.17}/bin/start-dfs.sh -upgrade}}}
-  * Perform Hadoop upgrade steps 16-19 on your instance of Hadoop 0.17.
-  * Run {{{{$HADOOP_HOME_0.17}/bin/hadoop dfsadmin -finalizeUpgrade}}}
-  * Download and configure HBase 0.2.  Make sure ''hbase.rootdir'' is 
configured to be the same as it was in HBase 0.1.
-  * Run {{{{$HBASE_HOME_0.2}/bin/hbase migrate upgrade}}}
-  * Start HBase 0.2.
- 
- As you will notice, the 
[[http://wiki.apache.org/hadoop/Hadoop%20Upgrade|Hadoop Upgrade Instructions]] 
(specifically steps 2-4, 16-18) ask you to generate several logs to compare and 
ensure that the upgrade ran correctly.  I did notice some inconsistency in my 
logs between ''dfs-v-old-report-1.log'' and ''dfs-v-new-report-1.log''; 
specifically the ''Total effective bytes'' and ''Effective replication 
multiplier'' fields did not match (in the new log, the values reported were 
zero and infinity, respectively).  Additionally, ''dfs-v-new-report-1.log'' 
claimed that the update was not finalized.  Running 
{{{{$HADOOP_HOME}/bin/hadoop dfsadmin -finalizeUpgrade}}} resolves the second 
issue, finalizing the upgrade as expected.  I could not find a way to resolve 
the inconsistencies with the ''Total effective bytes'' and ''Effective 
replication multiplier'' fields.  Nonetheless, I found no problems with the 
migration and the data appeared to be completely intact.
- 
- The API in 0.2 is not backward-compatible with hbase 0.1 versions.  See 
[[http://wiki.apache.org/hadoop/Hbase/Plan-0.2/APIChanges|API Changes]] for 
discussion of the main differences.
- 

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