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apache / carbondata / ca528471bf8256ad9d10fa8d26403651843b7106
commitca528471bf8256ad9d10fa8d26403651843b7106[log] [tgz]
authorVikram Ahuja <vikramahuja8803@gmail.com>Mon Nov 18 11:56:37 2019 +0530
committerajantha-bhat <ajanthabhat@gmail.com>Wed Dec 11 18:40:28 2019 +0800
treead67e2f3d0eba62d743d2d022998e00b57c89d9b
parent27a689a12a0cfce7fb151ec3348e48b4793656e5 [diff]
[CARBONDATA-3588] Table id taken as key generated from table path for non-transactional table

Modification reason: Show cache command on table with index server
enabled displays the index size incorrectly for table that was created
with index server disabled

Modification content: In case of non transactional table, the table id
is now taken as the key generated from the table path

This closes #3467
1 file changed
tree: ad67e2f3d0eba62d743d2d022998e00b57c89d9b
  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. python/
  18. store/
  19. streaming/
  20. tools/
  21. .gitignore
  22. LICENSE
  23. NOTICE
  24. pom.xml
  25. 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

Visit count: HitCount

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

Integration

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).