Book Image

Apache Hive Cookbook

Book Image

Apache Hive Cookbook

Overview of this book

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.
Table of Contents (19 chapters)
Apache Hive Cookbook
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Using a bucket sort merge map join


In this recipe, you will learn how to use a bucket sort merge map join in Hive.

A bucket sort merge map join is an advanced version of a bucket map join. If the data in the tables is sorted and bucketed on the join columns at the same time then a bucket sort merge map join comes into the picture. In this type of join, all the tables must have an equal number of buckets as each mapper will read a bucket from each table and will perform a bucket sort merge map join.

It is mandatory for the data to be sorted in this join condition. The following parameter needs to be set to true for sorting the data or data can be sorted manually:

Set hive.enforce.sorting = true;

Note

If data in the buckets is not sorted then there is a possibility that a wrong result or output is generated as Hive does not check whether the buckets are sorted or not.

The following parameters need to be set for:

set hive.input.format = org.apache.hadoop.hive.ql.io.BucketizedHiveInputFormat;
set...