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Posted to dev@hbase.apache.org by "Andrew Purtell (JIRA)" <ji...@apache.org> on 2009/11/07 19:17:32 UTC
[jira] Updated: (HBASE-1961) HBase EC2 scripts
[ https://issues.apache.org/jira/browse/HBASE-1961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Purtell updated HBASE-1961:
----------------------------------
Attachment: contrib-ec2.tar.bz2
> HBase EC2 scripts
> -----------------
>
> Key: HBASE-1961
> URL: https://issues.apache.org/jira/browse/HBASE-1961
> Project: Hadoop HBase
> Issue Type: New Feature
> Environment: Amazon AWS EC2
> Reporter: Andrew Purtell
> Priority: Minor
> Fix For: 0.21.0, 0.20.3
>
> Attachments: contrib-ec2.tar.bz2
>
>
> Attached tarball is a clone of the Hadoop EC2 scripts, modified significantly to start up a HBase storage only cluster on top of HDFS backed by instance storage.
> Tested with the HBase 0.20 branch but should work with trunk also. Only the AMI create and launch scripts are tested. Will bring up a functioning HBase cluster.
> Do "create-hbase-image c1.xlarge" to create an x86_64 AMI, or "create-hbase-image c1.medium" to create an i386 AMI. Public Hadoop/HBase 0.20.1 AMIs are available:
> i386: ami-c644a7af
> x86_64: ami-f244a79b
> launch-hbase-cluster brings up the cluster: First, a small dedicated ZK quorum, specifiable in size, default of 3. Then, the DFS namenode (formatting on first boot) and one datanode and the HBase master. Then, a specifiable number of slaves. For example:
> {noformat}
> launch-hbase-cluster testcluster 100 5
> {noformat}
> would bring up a cluster with 100 slaves supported by a 5 node ZK ensemble.
> We must colocate a datanode with the namenode because currently the master won't tolerate a brand new DFS with only namenode and no datanodes up yet. See HBASE-1960. By default the launch scripts provision ZooKeeper as c1.medium and the HBase master and region servers as c1.xlarge. The result is a fixed size HBase cluster supported by a ZooKeeper ensemble. ZK ensembles are not dynamic, but HBase clusters can be grown by simply starting up more slaves, just like Hadoop.
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