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Hadoop Essentials

You're reading from   Hadoop Essentials Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Length 194 pages
Edition 1st Edition
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Author (1):
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Shiva Achari Shiva Achari
Author Profile Icon Shiva Achari
Shiva Achari
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Table of Contents (9) Chapters Close

Preface 1. Introduction to Big Data and Hadoop FREE CHAPTER 2. Hadoop Ecosystem 3. Pillars of Hadoop – HDFS, MapReduce, and YARN 4. Data Access Components – Hive and Pig 5. Storage Component – HBase 6. Data Ingestion in Hadoop – Sqoop and Flume 7. Streaming and Real-time Analysis – Storm and Spark Index

HBase Hive integration


Analysts usually prefer a Hive environment due to the comfort of SQL-like syntax. HBase is well integrated with Hive, using the StorageHandler that Hive interfaces with. The create table syntax in Hive will look like the following:

CREATE EXTERNAL TABLE hbase_table_1(key int, value string) 
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,ColumnFamily:Column1, columnFalimy:column2")
TBLPROPERTIES ("hbase.table.name" = "xyz");

Let us understand the syntax and the keywords used for the table:

  • EXTERNAL: This is used if the table in HBase exists already, or if the table in HBase is new and you want Hive to manage only the metadata and not the actual data.

  • STORED BY: The HBaseStorageHandler has to be used to handle the input and output from HBase.

  • SERDEPROPERTIES: Hive column to HBase ColumnFamily:Column mapping has to be specified here. In this example, key maps as a rowkey and value maps to val column of...

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