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apache / carbondata / 3b236a364c7feba311b56a82f89737b0416c05b9
commit3b236a364c7feba311b56a82f89737b0416c05b9[log] [tgz]
authorZhangshunyu <zhangshunyu1990@126.com>Thu Jul 09 11:03:32 2020 +0800
committerJacky Li <jacky.likun@qq.com>Mon Jul 13 01:02:21 2020 +0800
tree959f6f83ed28ceb1324b27023f69043c22eb9fa5
parent4e57b73cf6b739a314ea15012800018520e3448f [diff]
[CARBONDATA-3893] [IUD] Fix getting block name in compacted segment with dot for horizontal compaction delta files

Why is this PR needed?
Currentlly, during horizontal compaction, driver will list delta files in segment to merge them, during this comparasion it will use block name, current code only consider the blocks in normal segment, but not consider the compacted segement, for example, in XXXX-12.2-time.deletedelta the block name should be XXXX-12.2 not XXXX, if use XXX it will not list the delta files and horizontal compaction will not merge delta files.

What changes were proposed in this PR?
Correct the parse of block name

Does this PR introduce any user interface change?
No

Is any new testcase added?
No

This closes #3832
3 files changed
tree: 959f6f83ed28ceb1324b27023f69043c22eb9fa5
  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
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).