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 would like to grasp how HBase works. but when you need to take a deep dive into use instances, good points, and troubleshooting, Architecting HBase purposes is definitely the right resource for you.

With this ebook, 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 commence your small business program improvement and deployment.

  • Learn layout patterns—and not only components—necessary for a winning HBase deployment
  • Go intensive into the entire HBase shell operations and API calls required to enforce documented use cases
  • Become conversant in the commonest concerns confronted through HBase clients, determine the factors, and comprehend the consequences
  • Learn document-specific API calls which are tough or extremely important for users
  • Get use-case examples for each subject presented

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Extra resources for Architecting HBase Applications: A Guidebook for Successful Development and Design

Example text

Here is the HDFS content of your table. /s/0cc853926c7c10d3d12959bbcacc55fd/v To fit the page width, file permissions, owner were removed, and /hbase/data/default/ sensors was abbreviated to …/s. If your table is empty, you will still have all the region folders because we have presplit the table. HFiles might be present in the regions’ folders if data already existed prior to loading. We show only one region’s directory in the above extract and you can see that this region’s column family v is empty since it doesn’t contain any HFiles.

1870 seconds The count command takes one to three parameters. The first parameter is manda‐ tory, it is the name of the table whose rows you want to count. The second parameter is optional, it tells the shell to display a progress status only every 40,000 rows. The final parameter is optional too, it is the size of the cache we want to use to do our full table scan. This last value is used to setup the setCaching value of the underlying scan object. Counting from MapReduce The second way to count the number of rows in an HBase table is to use the Row‐ Counter MapReduce tool.

Goal of the mapper is to read the content from HBase and translate it for SOLR. We have already done a class to create an Avro 36 | Chapter 2: Underlying storage engine - Implementation object from an HBase cell. We are going to reuse the same code here as this is exactly what we want to achieve. We want to read each and every cell, convert it back to an Avro object and provide to SOLR the data we want to index. The code for that is the following: Example 2-6. getRowArray()), new SolrInputDocumentWritable(inputDocument)); Transform the received cell into an Avro object re-using the event instance to avoid creation of new objects.

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