commit | 2b475edc24bbf78085f29ab55198ac7b4a6b24e7 | [log] [tgz] |
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author | ajantha-bhat <ajanthabhat@gmail.com> | Sun Feb 23 11:04:30 2020 +0530 |
committer | Jacky Li <jacky.likun@qq.com> | Tue Feb 25 23:54:39 2020 +0800 |
tree | 881e29c0605ca4144f2efbf28e4e8165f40529d4 | |
parent | 6b7faccde15371e316900bf2e3552c653b0c05e3 [diff] |
[CARBONDATA-3720] Support alter table scenario for new insert into flow Why is this PR needed? Currently, the rearrange logic is based on schema ordinal. For alter table drop and add columns with/without partition, schema ordinal based re arrange may not work as index will be outside the projection size. This logic become complex to handle. Hence don't use schema ordinal for rerrange, implemented a position map based rearrange. What changes were proposed in this PR? Implemented a position map based rearrange. Does this PR introduce any user interface change? No Is any new testcase added? No This closes #3634
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 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:
CarbonData is built using Apache Maven, to build CarbonData
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.
To get involved in CarbonData:
Apache CarbonData is an open source project of The Apache Software Foundation (ASF).