Chapter 1. Developing Hive
In this chapter, we will cover the following recipes:
- Deploying Hive on a Hadoop cluster
- Deploying Hive Metastore
- Installing Hive
- Configuring HCatalog
- Understanding different components of Hive
- Compiling Hive from source
- Hive packages
- Debugging Hive
- Running Hive
- Changing configurations at runtime
Introduction
Hive, an Apache Hadoop ecosystem component is developed by Facebook to query the data stored in Hadoop Distributed File System (HDFS). Here, HDFS is the data storage layer of Hadoop that at very high level divides the data into small blocks (default 128 MB) and stores these blocks on different nodes.
Hive provides a SQL-like query model named Hive Query Language (HQL) to access and analyze big data. It is also termed Data Warehousing ...
Get Apache Hive Cookbook now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
