Instead, send your report to the mailing list [email protected], which allows anyone to send messages, but restricts who can read them.
Someone on that list will contact you to follow up on your report.
The phrases /supported/, /not supported/, /tested/, and /not tested/ occur several places throughout this guide.
Commercial technical support for Apache HBase is provided by many Hadoop vendors.
This is not the sense in which the term /support/ is used in the context of the Apache HBase project.
The Apache HBase team assumes no responsibility for your HBase clusters, your configuration, or your data.
In the context of Apache HBase, /not supported/ means that a use case or use pattern is not expected to work and should be considered an antipattern.
Herein you will find either the definitive documentation on an HBase topic as of its standing when the referenced HBase version shipped, or it will point to the location in Javadoc or JIRA where the pertinent information can be found. The source for this guide can be found in the _src/main/asciidoc directory of the HBase source.
This reference guide is marked up using Ascii Doc from which the finished guide is generated as part of the 'site' build target.
Run If this is your first foray into the wonderful world of Distributed Computing, then you are in for some interesting times.
First off, distributed systems are hard; making a distributed system hum requires a disparate skillset that spans systems (hardware and software) and networking.
Your cluster’s operation can hiccup because of any of a myriad set of reasons from bugs in HBase itself through misconfigurations — misconfiguration of HBase but also operating system misconfigurations — through to hardware problems whether it be a bug in your network card drivers or an underprovisioned RAM bus (to mention two recent examples of hardware issues that manifested as "HBase is slow").
You will also need to do a recalibration if up to this your computing has been bound to a single box.
Here is one good starting point: Fallacies of Distributed Computing.