By Jean-Marc Spaggiari, Kevin O'Dell
Lots of HBase books, on-line HBase courses, and HBase mailing lists/forums can be found if you want to understand how HBase works. but when you need to take a deep dive into use circumstances, gains, and troubleshooting, Architecting HBase purposes is the appropriate resource for you.
With this e-book, you’ll examine a managed set of APIs that coincide with use-case examples and simply deployed use-case versions, in addition to sizing/best practices to assist leap begin your business software improvement and deployment.
- Learn layout patterns—and not only components—necessary for a profitable HBase deployment
- Go extensive into all of the HBase shell operations and API calls required to enforce documented use cases
- Become acquainted with the most typical matters confronted via HBase clients, determine the reasons, and comprehend the consequences
- Learn document-specific API calls which are difficult or vitally important for users
- Get use-case examples for each subject presented
Read Online or Download Architecting HBase Applications: A Guidebook for Successful Development and Design PDF
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Extra info for Architecting HBase Applications: A Guidebook for Successful Development and Design
Create a list of tens of keys and columns that you know are present in the table and mesure how long it takes to read them all. Now activate the bloom filter on your table, major compact it to get them written and test again. You should see that for this specific use-case, Bloom filters are not improving the performances. It is almost always good to have bloom filters activated. We dis‐ abled them here because this use case is very specific. If you are not sure, just keep them on.
HBase also provides a MapReduce tool called CellCounter to count not just the number of rows in a table, but also the number of col‐ umns and the number of versions for each of them. However, this tool needs to create a Hadoop counter for each and every unique row key found in the table. Hadoop has a default limit of 120 coun‐ ters. It is possible to increase this limit, but increasing it to the number of rows we have in the table might create some issues. If you are working on a small dataset, this might be useful to test your application and debug it.
Since an HFile only represents a subset of rows, we need to count rows at the table level. HBase provides two different mechanisms to count the rows. 30 | Chapter 2: Underlying storage engine - Implementation Counting from the shell Counting the rows from the shell is pretty straightforward, simple, and efficient for small examples. It will simply do a full table scan and count the rows one by one. It works well for small tables, however it can take a lot of time for big tables, so we will use this method only when we are sure our tables are small.