Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Apache Parquet

  • Chapter
  • First Online:
Practical Hadoop Ecosystem

Abstract

Apache Parquet is an efficient, structured, column-oriented (also called columnar storage), compressed, binary file format. Parquet supports several compression codecs, including Snappy, GZIP, deflate, and BZIP2. Snappy is the default. Structured file formats such as RCFile, Avro, SequenceFile, and Parquet offer better performance with compression support, which reduces the size of the data on the disk and consequently the I/O and CPU resources required to deserialize data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Deepak Vohra

About this chapter

Cite this chapter

Vohra, D. (2016). Apache Parquet. In: Practical Hadoop Ecosystem. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2199-0_8

Download citation

Publish with us

Policies and ethics