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apache / carbondata / ea6ab2836d273bebbfe5aaf2faba1fdf0d3af12d
commitea6ab2836d273bebbfe5aaf2faba1fdf0d3af12d[log] [tgz]
authorShreelekhya <shreelu_gampa@yahoo.com>Mon Jul 13 21:08:54 2020 +0530
committerakashrn5 <akashnilugal@gmail.com>Fri Jul 24 10:18:13 2020 +0530
tree91b0076a1d800b08ad157ac7d8c626a4a464b981
parent1ce20951828b388022fb6a1aae8113b750f47cfa [diff]
[CARBONDATA-3899] Drop materialized view when executed concurrently from 4 concurrent client fails in
all 4 clients.

Why is this PR needed?
1. drop materialized view when executed concurrently from 4 concurrent client fails in all 4 clients.
Also, materialized view when created in one session and queried on another open session will not hit MV.
2. drop mv if not exists must fail.

What changes were proposed in this PR?
1. made view manager as a single instance for all sessions, so that changes executed from one session
gets reflected in others.
2. added check for drop mv command to throw an exception if the materialized view is not present.

This closes #3841
5 files changed
tree: 91b0076a1d800b08ad157ac7d8c626a4a464b981
  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).