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apache / carbondata / d9f69aef5affad6d687820c0642d4f3e1655f217
commitd9f69aef5affad6d687820c0642d4f3e1655f217[log] [tgz]
authorVikram Ahuja <vikramahuja8803@gmail.com>Thu Jan 07 11:19:54 2021 +0530
committerakashrn5 <akashnilugal@gmail.com>Mon Mar 15 16:28:53 2021 +0530
tree6be83c7e35f957a30ffa1f65f95b6d7edd2b98a6
parentd5b3b8c2cccd956331443fbf064b1937b9b79c0a [diff]
[CARBONDATA-4110] Support clean files dry run operation and show statistics after clean files
operation

Why is this PR needed?
Currently in the clean files operation the user does not know how much space will be freed.
The idea is the add support for dry run in clean files which can tell the user how much space
will be freed in the clean files operation without cleaning the actual data.

What changes were proposed in this PR?
This PR has the following changes:

1. Support dry run in clean files: It will show the user how much space will be freed by the
   clean files operation and how much space left (which can be released after expiration time)
   after the clean files operation.
2. Clean files output: Total size released during the clean files operation
3. Disable clean files Statistics option in case the user does not want clean files statistics
4. Clean files log: To enhance the clean files log to print the name of every file that is being
deleted in the info log.

This closes #4072
14 files changed
tree: 6be83c7e35f957a30ffa1f65f95b6d7edd2b98a6
  1. .github/
  2. assembly/
  3. bin/
  4. build/
  5. common/
  6. conf/
  7. core/
  8. dev/
  9. docs/
  10. examples/
  11. format/
  12. geo/
  13. hadoop/
  14. index/
  15. integration/
  16. licenses-binary/
  17. mv/
  18. processing/
  19. python/
  20. sdk/
  21. streaming/
  22. tools/
  23. .gitignore
  24. LICENSE
  25. NOTICE
  26. pom.xml
  27. README.md
  28. scalastyle-config.xml
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

Spark2.4: 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

Experimental Features

Some features are marked as experimental because the syntax/implementation might change in the future.

  1. Hybrid format table using Add Segment.
  2. Accelerating performance using MV on parquet/orc.
  3. Merge API for Spark DataFrame.
  4. Hive write for non-transactional table.

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).