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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
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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

Serialization and deserialization formats and data types


Serialization and deserialization formats are popularly known as SerDes. Hive allows the framework to read or write data in a particular format. These formats parse the structured or unstructured data bytes stored in HDFS in accordance with the schema definition of Hive tables. Hive provides a set of in-built SerDes and also allows the user to create custom SerDes based on their data definition. These are as follows:

  • LazySimpleSerDe

  • RegexSerDe

  • AvroSerDe

  • OrcSerde

  • ParquetHiveSerDe

  • JSONSerDe

  • CSVSerDe

How to do it…

You can use different types of SerDes for reading or writing the data in a particular format.

LazySimpleSerDe

This is the default SerDes format of Hive. When a user creates a table in Hive without any explicit SerDes definition, LazySimpleSerDe gets associated with the table. LazySimpleSerDe takes line feed (\n) as the record separator and tab ('\t') as the attribute (column) delimiter. It parse the data bytes it receives from HDFS and...

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