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apache / carbondata / 30eefe3d226e35bd7c9ed0f1c4c77c5b22809b76
commit30eefe3d226e35bd7c9ed0f1c4c77c5b22809b76[log] [tgz]
authorakashrn5 <akashnilugal@gmail.com>Mon Jul 20 14:50:49 2020 +0530
committerajantha-bhat <ajanthabhat@gmail.com>Fri Jul 24 18:26:14 2020 +0530
treefec531e82fbf14f7f3dbcc3fec32997d589504c5
parent79275aa6f07f83d7e799af4c6977d9b5eaf3c95a [diff]
[CARBONDATA-3920] Fix compaction failure issue for SI table and metadata mismatch in concurrency

Why is this PR needed?
When load and compaction are happening concurrently, in reliability test segment data will be deleted from SI table, which leads to exception/failures
pre-priming was happening for SI table segment in case of compaction before making SI segment as a success.

What changes were proposed in this PR?
remove unnecessary cleaning API call from SI flow and before compaction success segment locks were getting released for SI, handle that
do the code refactoring in case of SI load after main table compaction to handle proper pre-priming after segments were made success.

Does this PR introduce any user interface change?
No

Is any new testcase added?
No(tested in cluster with 10 concurrency and around 1000 loads)

This closes #3854
8 files changed
tree: fec531e82fbf14f7f3dbcc3fec32997d589504c5
  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).