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apache / carbondata / 6353024a8a2698801724f781e7e7704eaa997005
commit6353024a8a2698801724f781e7e7704eaa997005[log] [tgz]
authorIndhumathi27 <indhumathim27@gmail.com>Tue Dec 31 14:31:44 2019 +0530
committerJacky Li <jacky.likun@qq.com>Sun Jan 19 12:04:28 2020 +0800
treef0788a21b6417485b777c220f7d8b581384b74f3
parent3d88685757b4f5eef330bc543e0d8d20f70bb8df [diff]
[CARBONDATA-3645] BadRecords are inserted as NULL when column is of complex data type and BAD_RECORDS_ACTION is IGNORE

Why is this PR needed?
In case if BAD_RECORDS_ACTION is IGNORE, Carbon should skip those bad records while loading. But in case of Complex data type, badrecords are inserted as NULL. Here, badRecordAdded flag is not set, from second BadRecord found,since message is already added to columnMessageMap for first found BadRecord.

What changes were proposed in this PR?
Set badRecordAdded flag, if badRecord is found.

Does this PR introduce any user interface change?
No

Is any new testcase added?
Yes

This closes #3551
3 files changed
tree: f0788a21b6417485b777c220f7d8b581384b74f3
  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).