首页Apache Hive Cookbook 无水印原版pdf
[ 1 ]
Easy, hands-on recipes to help you understand Hive and
its integration with frameworks that are used widely in
today's big data world
BIRMINGHAM - MUMBAI
Apache Hive Cookbook
Copyright © 2016 Packt Publishing
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First published: April 2016
Production reference: 1260416
Published by Packt Publishing Ltd.
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Birmingham B3 2PB, UK.
Aristides Villarreal Bravo
Content Development Editor
Vishal K. Mewada
Shantanu N. Zagade
Shantanu N. Zagade
About the Authors
Hanish Bansal is a software engineer with over 4 years of experience in developing big
data applications. He loves to study emerging solutions and applications mainly related to big
data processing, NoSQL, natural language processing, and neural networks. He has worked
on various technologies such as Spring Framework, Hibernate, Hadoop, Hive, Flume, Kafka,
Storm, and NoSQL databases, which include HBase, Cassandra, MongoDB, and search
engines such as Elasticsearch.
In 2012, he completed his graduation in Information Technology stream from Jaipur
Engineering College and Research Center, Jaipur, India. He was also the technical reviewer
of the book Apache Zookeeper Essentials. In his spare time, he loves to travel and listen
You can read his blog at
http://hanishblogger.blogspot.in/ and follow him on
Twitter at https://twitter.com/hanishbansal786.
I would like to thank my parents for their love, support, encouragement and
the amazing chances they've given me over the years.
Saurabh Chauhan is a module lead with close to 8 years of experience in data
warehousing and big data applications. He has worked on multiple Extract, Transform and
Load tools, such as Oracle Data Integrator and Informatica as well as on big data technologies
such as Hadoop, Hive, Pig, Sqoop, and Flume.
He completed his bachelor of technology in 2007 from Vishveshwarya Institute of Engineering
and Technology. In his spare time, he loves to travel and discover new places. He also has a
keen interest in sports.
I would like to thank everyone who has supported me throughout my life.
import org.apache.hadoop.hive.ql.exec.UDFArgumentException; import org.apache.hadoop.hive.ql.exec.UDFArgumentLengthException; import org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException; import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF; import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory; import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
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