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apache / carbondata / b3786ca0eee6a0b5e09cf58dd818dee1170288d1
commitb3786ca0eee6a0b5e09cf58dd818dee1170288d1[log] [tgz]
authorIndhumathi27 <indhumathim27@gmail.com>Wed Dec 18 21:34:10 2019 +0530
committerJacky Li <jacky.likun@qq.com>Sat Dec 21 22:00:53 2019 +0800
treeea06d979280edce597d6a4253ba05200ebf2a78e
parent730d25b83de861c6d709c80aa668929983625dcd [diff]
[CARBONDATA-3624] Support creating MV datamap without giving filter columns in projection and bug fixes

Problem:
We need to maintain a fieldRelationMap between MV and Parent tables, for inheriting properties from parent table and for restricting alter opeartions on main table columns. Deriving fieldRelationMap from logical Plan should be in a generalised way, hence adding filter columns also to projection check was required. But this check should not restrict user to create datamap, if user query doesnt contain filter columns in projection.

Solution:
Use Modular Plan instead of Logical plan to form a fieldRelationMap and make it generalised for all type's of queries. By this way, we can avoid restricting user to give filter columns in projection while creating datamap.

This closes #3517
8 files changed
tree: ea06d979280edce597d6a4253ba05200ebf2a78e
  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).