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HBASE-16544 Remove or Clarify 'Using Amazon S3 Storage' section in the reference guide (Yi Liang)

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Jerry He 2016-09-07 18:50:02 -07:00
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src/main/asciidoc/_chapters/configuration.adoc
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@ -1090,37 +1090,6 @@ Only a subset of all configurations can currently be changed in the running serv
Here is an incomplete list: `hbase.regionserver.thread.compaction.large`, `hbase.regionserver.thread.compaction.small`, `hbase.regionserver.thread.split`, `hbase.regionserver.thread.merge`, as well as compaction policy and configurations and adjustment to offpeak hours.
For the full list consult the patch attached to link:https://issues.apache.org/jira/browse/HBASE-12147[HBASE-12147 Porting Online Config Change from 89-fb].
[[amazon_s3_configuration]]
== Using Amazon S3 Storage
HBase is designed to be tightly coupled with HDFS, and testing of other filesystems
has not been thorough.
The following limitations have been reported:
- RegionServers should be deployed in Amazon EC2 to mitigate latency and bandwidth
limitations when accessing the filesystem, and RegionServers must remain available
to preserve data locality.
- S3 writes each inbound and outbound file to disk, which adds overhead to each operation.
- The best performance is achieved when all clients and servers are in the Amazon
cloud, rather than a heterogenous architecture.
- You must be aware of the location of `hadoop.tmp.dir` so that the local `/tmp/`
directory is not filled to capacity.
- HBase has a different file usage pattern than MapReduce jobs and has been optimized for
HDFS, rather than distant networked storage.
- The `s3a://` protocol is strongly recommended. The `s3n://` and `s3://` protocols have serious
limitations and do not use the Amazon AWS SDK. The `s3a://` protocol is supported
for use with HBase if you use Hadoop 2.6.1 or higher with HBase 1.2 or higher. Hadoop
2.6.0 is not supported with HBase at all.
Configuration details for Amazon S3 and associated Amazon services such as EMR are
out of the scope of the HBase documentation. See the
link:https://wiki.apache.org/hadoop/AmazonS3[Hadoop Wiki entry on Amazon S3 Storage]
and
link:http://docs.aws.amazon.com/ElasticMapReduce/latest/DeveloperGuide/emr-hbase.html[Amazon's documentation for deploying HBase in EMR].
One use case that is well-suited for Amazon S3 is storing snapshots. See <<snapshots_s3>>.
ifdef::backend-docbook[]
[index]
== Index