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apache / carbondata / 2b04c025589592653714284fc97f98149a9c6166
commit2b04c025589592653714284fc97f98149a9c6166[log] [tgz]
authorh00424960 <haoxingjun@huawei.com>Tue Dec 31 21:50:25 2019 +0800
committerJacky Li <jacky.likun@qq.com>Thu Jan 23 17:02:59 2020 +0800
tree198dddccf806dd0dc2bbfbfa568aa551606d9ec1
parent7eea3b3d874d14435970aa664d7f556ff3bad87a [diff]
[CARBONDATA-3648] Support Alter Table Compaction Level Threshold

Modification reason:
(1) The Alter Table sould support Compaction Level Threshold.
(2) The upper limit of Compaction Level Threshold is 100, which is too small to meet the scenario with massive small files
(3) There is a bug to limit alter table in windows env.

Modification content:
(1) AlterTableUtil support alter Compaction_Level_Threshold
(2) CarbonProperties increases the upper limit of Compaction_Level_Threshold to 10000 from 100.
(3) Fix the bug which limit alter table in windows env

This closes #3553
5 files changed
tree: 198dddccf806dd0dc2bbfbfa568aa551606d9ec1
  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

Spark2.3: 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).