Google Git
Sign in
apache / carbondata / branch-0.2
commit9d6e26adad16ab2b00de2cd8b655f63ba0b03d4a[log] [tgz]
authorchenliang613 <chenliang613@apache.org>Wed Dec 14 12:06:33 2016 +0800
committerchenliang613 <chenliang613@apache.org>Wed Dec 14 12:06:33 2016 +0800
treea8cbc9b93485734e825b1ebdd5b03bb882bb2a9b
parentacdf0ae6e61f1953d684af0a41feccdc37bcd000 [diff]
parentcc195da3e62688b51eef22c704b37dc8b92cdee1 [diff]
Fixed NPE issue in QueryThis closes #434
tree: a8cbc9b93485734e825b1ebdd5b03bb882bb2a9b
  1. .github/
  2. assembly/
  3. bin/
  4. common/
  5. conf/
  6. core/
  7. dev/
  8. docs/
  9. examples/
  10. format/
  11. hadoop/
  12. integration/
  13. integration-testcases/
  14. processing/
  15. .gitignore
  16. DISCLAIMER
  17. LICENSE
  18. NOTICE
  19. pom.xml
  20. README.md
README.md

Apache CarbonData(incubating) is a new big data file format for faster interactive query using advanced columnar storage, index, compression and encoding techniques to improve computing efficiency, in turn it will help speedup queries an order of magnitude faster over PetaBytes of data.

You can find the latest CarbonData document and learn more at CarbonData cwiki

Features

CarbonData file format is a columnar store in HDFS, it has many features that a modern columnar format has, such as splittable, compression schema ,complex data type etc, and CarbonData has following unique features:

  • Stores data along with index: it can significantly accelerate query performance and reduces the I/O scans and CPU resources, where there are filters in the query. CarbonData index consists of multiple level of indices, a processing framework can leverage this index to reduce the task it needs to schedule and process, and it can also do skip scan in more finer grain unit (called blocklet) in task side scanning instead of scanning the whole file.
  • Operable encoded data :Through supporting efficient compression and global encoding schemes, can query on compressed/encoded data, the data can be converted just before returning the results to the users, which is “late materialized”.
  • Column group: Allow multiple columns to form a column group that would be stored as row format. This reduces the row reconstruction cost at query time.
  • Supports for various use cases with one single Data format : like interactive OLAP-style query, Sequential Access (big scan), Random Access (narrow scan).

Building CarbonData,using development tools and cluster deployment guide

Please refer Building CarbonData and Configuring IDE

Please refer Cluster Deployment Guide

Getting Started

Read the quick start

Usage of CarbonData

DDL Operations on CarbonData

DML Operations on CarbonData

CarbonData data management

CarbonData File Structure and interfaces

Please refer CarbonData File Format and CarbonData Interfaces

Other Technical Material

Apache CarbonData meetup material

Fork and Contribute

This is an active open source project for everyone, and we are always open to people who want to use this system or contribute to it. This guide document introduce how to contribute to CarbonData.

Contact us

To get involved in CarbonData:

About

Apache CarbonData is an open source project of The Apache Software Foundation (ASF).