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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction 2. Storage FREE CHAPTER 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Programmatic interfaces


In addition to the hive and beeline command-line tools, it is possible to submit HiveQL queries to the system via the JDBC and Thrift programmatic interfaces. Support for ODBC was bundled in older versions of Hive, but as of Hive 0.12, it needs to be built from scratch. More information on this process can be found at https://cwiki.apache.org/confluence/display/Hive/HiveODBC.

JDBC

A Hive client written using JDBC APIs looks exactly the same as a client program written for other database systems (for example MySQL). The following is a sample Hive client program using JDBC APIs. The source code for this example can be found at https://github.com/learninghadoop2/book-examples/blob/master/ch7/clients/com/learninghadoop2/hive/client/HiveJdbcClient.java.

public class HiveJdbcClient {
     private static String driverName = " org.apache.hive.jdbc.HiveDriver";
     
     // connection string
     public static String URL = "jdbc:hive2://localhost:10000";

     // Show all tables...
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