Apache Hive Cookbook

Apache Hive Cookbook
by Hanish Bansal,Saurabh Chauhan,Shrey Mehrotra
Print Length 页数: 268 pages
Publisher finelybook 出版社: Packt Publishing (29 April 2016)
Language 语言: English
ISBN-10: 1782161082
ISBN-13: 9781782161080
B01BP23IR8
Easy,hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today’s big data world
About This Book
Grasp a complete reference of different Hive topics.
Get to know the latest recipes in development in Hive including CRUD operations
Understand Hive internals and integration of Hive with different frameworks used in today’s world.
Who This Book Is For
The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required
What You Will Learn
Learn different features and offering on the latest Hive
Understand the working and structure of the Hive internals
Get an insight on the latest development in Hive framework
Grasp the concepts of Hive Data Model
Master the key concepts like Partition,Buckets and Statistics
Know how to integrate Hive with other frameworks such as Spark,Accumulo,etc
In Detail
Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today’s Big Data world.
This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version.
Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks.
Style and approach
Starting with the basics and covering the core concepts with the practical usage,this book is a complete guide to learn and explore Hive offerings.
Contents
Chapter 1. Developing Hive
Chapter 2. Services in Hive
Chapter 3. Understanding the Hive Data Model
Chapter 4. Hive Data Definition Language
Chapter 5. Hive Data Manipulation Language
Chapter 6. Hive Extensibility Features
Chapter 7. Joins and Join Optimization
Chapter 8. Statistics in Hive
Chapter 9. Functions in Hive
Chapter 10. Hive Tuning
Chapter 11. Hive Security
Chapter 12. Hive Integration with Other Frameworks
简单实用的食谱帮助您了解Hive及其与当今大数据世界广泛使用的框架的集成
关于这本书
掌握不同Hive主题的完整参考。
了解包括CRUD操作在内的Hive开发中的最新配方
了解Hive内部和Hive与当今世界使用的不同框架的集成。
这本书是谁
本书适用于希望从Hive开始或对Hive框架有基本了解的人员。还需要基本SQL命令的先前知识
你会学到什么
了解不同的功能，并提供最新的Hive
了解Hive内部部件的工作和结构
了解Hive框架的最新发展
掌握Hive数据模型的概念
掌握分区，桶和统计等关键概念
了解如何将Hive与其他框架（如Spark，Accumulo等）集成在一起
详细
Hive由Facebook开发，后来在Apache社区开源。 Hive提供SQL like接口来在Big Data框架上运行查询。 Hive提供SQL语法，也称为HiveQL，它包括所有的SQL功能，如分析功能，这是当今大数据世界中小时的需要。
本书为您提供了Hive支持的不同类型转移的简单安装步骤。本书简单易学，配置Hive客户端和服务。您还将学习不同的Hive优化，包括分区和Bucketing。本书还介绍了最新Hive版本的源代码说明。
Hive查询语言被包括火花在内的其他框架所使用。最后，您将涵盖Hive与这些框架的集成。
风格和方法
本书从基础知识和实际应用的核心概念入手，本书是学习和探索Hive产品的完整指南。
目录
第一章开发蜂巢
第二章蜂巢服务
了解蜂巢数据模型
Hive数据定义语言
第5章蜂巢数据操作语言
第6章蜂巢扩展功能
第七章加入和加入优化
第八章蜂巢统计
第九章配置单元的功能
第10章蜂巢调音
第11章蜂巢安全
第12章Hive与其他框架集成

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