Read e-book online Architecting HBase Applications: A Guidebook for Successful PDF

By Jean-Marc Spaggiari, Kevin O'Dell

ISBN-10: 1491915811

ISBN-13: 9781491915813

Lots 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 need to take a deep dive into use circumstances, gains, and troubleshooting, Architecting HBase purposes is the fitting resource for you.

With this publication, you’ll examine a managed set of APIs that coincide with use-case examples and simply deployed use-case types, in addition to sizing/best practices to assist bounce commence your online business software improvement and deployment.

  • Learn layout patterns—and not only components—necessary for a profitable HBase deployment
  • Go extensive into the entire HBase shell operations and API calls required to enforce documented use cases
  • Become accustomed to the most typical concerns confronted via HBase clients, determine the factors, 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

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

Sample text

Using the shell The easiest and quickest way to read data from HBase is to use the HBase shell. Using the shell, you can issue commands to retrieve the data you want. The first command is get which will give you a single row. If you specify a column family, it will return only the colums for this family. If you specify both a column family and a column qualifier (separated with a colon), it will return only the specific value if it exists. The second option is to use scan which will return a certain number of rows that we can limit using the LIMIT parameter or the STARTROW and STOPROW parameters.

Bloom Filter When doing reads, bloom filters are useful to skip HBase store files where we can affirm the key we are looking for is not present. However, here we knew that the data we are looking for will always be present in the file, so we disabled the bloom filters. 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.

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.

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Architecting HBase Applications: A Guidebook for Successful Development and Design by Jean-Marc Spaggiari, Kevin O'Dell


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