Download e-book for kindle: Architecting HBase Applications: A Guidebook for Successful by Jean-Marc Spaggiari, Kevin O'Dell

By Jean-Marc Spaggiari, Kevin O'Dell

Plenty of HBase books, on-line HBase publications, and HBase mailing lists/forums can be found if you want to grasp how HBase works. but when you need to take a deep dive into use situations, beneficial properties, and troubleshooting, Architecting HBase functions is the appropriate resource for you. With this publication, you will study 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 assist leap commence what you are promoting software improvement and deployment.

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The second step is to bulkload those files into SOLR similar to how we bulkloaded our HFiles into HBase. The entire code will not be shown here due to size, however there are few pieces we want to show you here. First, here is how we need to configure our MapReduce job in the driver class. info | 35 Example 2-5. class, // Mapper to parse cells content. setSpeculativeExecution(false); By default, scans cache only one row at a time. To reduce RPC calls and improve throughput we want to increase the size of the cache.

The first thing we need to do is to scan the entire HBase table using MapReduce to create SOLR index files. The second step is to bulkload those files into SOLR similar to how we bulkloaded our HFiles into HBase. The entire code will not be shown here due to size, however there are few pieces we want to show you here. First, here is how we need to configure our MapReduce job in the driver class. info | 35 Example 2-5. class, // Mapper to parse cells content. setSpeculativeExecution(false); By default, scans cache only one row at a time.

S/0cc... /v/c0ab6873aa184cbb89c6f9d02db69e4b_SeqId_4_ Again, to fit the page width, file permissions, owner were removed, and /hbase/data/ default/sensors was abbreviated to …/s. We have also truncated the region encoded name. You can see that we now have a file in our previously empty region. This is one of the HFiles we have initially created. By looking at the size of this file and by com‐ paring it to the initial HFiles created by the MapReduce job, we can match it to ch09/hfiles/v/ed40f94ee09b434ea1c55538e0632837.

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