By Jean-Marc Spaggiari, Kevin O'Dell
Plenty of HBase books, on-line HBase courses, and HBase mailing lists/forums can be found if you would like to understand how HBase works. but when you must take a deep dive into use situations, beneficial properties, and troubleshooting, Architecting HBase functions is the precise resource for you. With this e-book, you will examine a managed set of APIs that coincide with use-case examples and simply deployed use-case versions, in addition to sizing / most sensible practices to aid leap begin your business program improvement and deployment.
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Extra info for Architecting HBase Applications: A Guidebook for Successful Development and Design
We dis‐ abled them here because this use case is very specific. If you are not sure, just keep them on.
You should see the region splitting after the data is inserted, however, since we are using bulkload, you should still not see any hotspot‐ ting on this region. You can validate your tables splits and the content of each region by looking in HDFS has seen in “Bulk loading” on page 29 Impact on table parameters We have created our table using the parameters which are good for our current usecase. We recommend modifying the various parameters and re-running the process to measure the impact. Compression Try to use different types of compression and compare.
Info Execute the SOLR request and retrieve the response from the server. Call HBase given the row key of the first document sent back by SOLR. Iterate over the columns for the given key and display the first ten Avro objects retrieved from those columns. Going further If you want to go further on the examples from this chapter, here are some things you can try based on what we have discussed in this chapter. Bigger input file To make sure examples run pretty fast, the dataset we worked with was pretty small.