HBase vs. BigTable Comparison
HBase is an open-source implementation of the Google BigTable architecture. That part is fairly easy to understand and grasp. What I personally feel is a bit more difficult is to understand how much HBase covers and where there are differences (still) compared to the BigTable specification. This post is an attempt to compare the two systems. Before we embark onto the dark technology side of things
HBase File Locality in HDFS
One of the more ambiguous things in Hadoop is block replication: it happens automatically and you should not have to worry about it. HBase relies on it 100% to provide the data safety as it stores its files into the distributed file system. While that works completely transparent, one of the more advanced questions asked though is how does this affect performance? This usually arises when the user
HBase Architecture 101 - Write-ahead-Log
What is the Write-ahead-Log you ask? In my previous post we had a look at the general storage architecture of HBase. One thing that was mentioned is the Write-ahead-Log, or WAL. This post explains how the log works in detail, but bear in mind that it describes the current version, which is 0.20.3. I will address the various plans to improve the log for 0.21 at the end of this article. For the term
HBase Architecture 101 - Storage
One of the more hidden aspects of HBase is how data is actually stored. While the majority of users may never have to bother about it you may have to get up to speed when you want to learn what the various advanced configuration options you have at your disposal mean. "How can I tune HBase to my needs?", and other similar questions are certainly interesting once you get over the (at times steep) l
HBase MapReduce 101 - Part I
In this and the following posts I would like to take the opportunity to go into detail about the MapReduce process as provided by Hadoop but more importantly how it applies to HBase. MapReduce MapReduce as a process was designed to solve the problem of processing in excess of terabytes of data in a scalable way. There should be a way to design such a system that increases in performance linearly w
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