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apache / carbondata / refs/heads/external-format
commit12ab5799271a4e37d31dfd583f6ff83f71064ee6[log] [tgz]
authorxuchuanyin <xuchuanyin@hust.edu.cn>Fri Aug 03 14:34:32 2018 +0800
committerJacky Li <jacky.likun@qq.com>Tue Aug 07 21:08:19 2018 +0800
treeaa0ac3f71dfe49ff51b58ef57581f29d5db9dc50
parent1a26ac16e9f178b1a0914e0f9e8ad0ebf707a0c2 [diff]
[CARBONDATA-2768][CarbonStore] Fix error in tests for external csv format

In previous implementation earlier than PR2495, we only supportted csv as
external format for carbondata. And we validated the restriction while
creating the table.PR2495 added kafka support, so it removed the
validation, but it did not fix the related test case which cause failure in current version.
This PR fix the error test case.

This closes #2537
4 files changed
tree: aa0ac3f71dfe49ff51b58ef57581f29d5db9dc50
  1. .github/
  2. assembly/
  3. bin/
  4. build/
  5. common/
  6. conf/
  7. core/
  8. datamap/
  9. dev/
  10. docs/
  11. examples/
  12. format/
  13. hadoop/
  14. integration/
  15. licenses-binary/
  16. processing/
  17. store/
  18. streaming/
  19. .gitignore
  20. LICENSE
  21. NOTICE
  22. pom.xml
  23. README.md
README.md

Apache CarbonData is an indexed columnar data store solution for fast analytics on big data platform, e.g.Apache Hadoop, Apache Spark, etc.

You can find the latest CarbonData document and learn more at: http://carbondata.apache.org

CarbonData cwiki

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Status

Spark2.2: Build Status Coverage Status

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”.
  • 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

CarbonData is built using Apache Maven, to build CarbonData

Online Documentation

Other Technical 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).