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

Configuring the SQL standards-based authorization


SQL standards-based authorization is the best way of authorizing Hive. This approach is widely used to restrict the access of data to only authorized users so that no malicious user can destroy anything by accessing the data. This authorization model is fully compliant with SQL authorization model. The grant and revoke statements are used to provide or remove the access to particular resources to users.

In order to implement the security using this model, all the queries must be served through HiveServer2 only. To interact with HiveServer2, any HiveServer2 clients (described in the Using HiveServer2 clients recipe of Chapter 2, Services in Hive) can be used. Beeline is a client that is commonly used to interact with HiveServer2 in place of HiveCLI. For a highly secure environment, it is very important to restrict the direct access of users to HDFS commands, Hive CLI, and Pig commands.

There are five primary types of privileges:

Privilege Name...