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Apache Hive Cookbook

You're reading from   Apache Hive Cookbook

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781782161080
Length 268 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Preface 1. Developing Hive FREE CHAPTER 2. Services in Hive 3. Understanding the Hive Data Model 4. Hive Data Definition Language 5. Hive Data Manipulation Language 6. Hive Extensibility Features 7. Joins and Join Optimization 8. Statistics in Hive 9. Functions in Hive 10. Hive Tuning 11. Hive Security 12. Hive Integration with Other Frameworks Index

Exploring indexes


Indexes are useful for increasing the performance of frequent queries based on certain columns. But Hive has limited a capability to index data as indexing large datasets requires sufficient additional storage space and processing overheads. Hive can index the columns to speed up some operations. It stores the indexed data in another table.

How to do it…

Indexes could be created on the tables in Hive. Let us create a sales table in Hive on which we are going to create indexes:

Create table sales(id int, fname string, state string, zip string, ip string, pid string) Row format delimited fields terminated by '\t';

Let us create an index on the state column of this table:

CREATE INDEX index_ip ON TABLE sales(ip) AS 'org.apache.hadoop.hive.ql.index.compact.CompactIndexHandler' WITH DEFERRED REBUILD;

In the metastore, it is stored in the IDXS table as shown in the following screenshot:

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