commit | 0f6dff4a712714d8b15f7e9a75cd7e87e34c9d5e | [log] [tgz] |
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author | ajantha-bhat <ajanthabhat@gmail.com> | Fri Apr 03 20:21:52 2020 +0530 |
committer | QiangCai <qiangcai@qq.com> | Thu Apr 09 15:09:04 2020 +0800 |
tree | e283e75800b505f4f26c2bb036e21e277f214210 | |
parent | f215eaad3b80f14032314f27c0a83f0ea77696a1 [diff] |
[CARBONDATA-3763] Fix wrong insert result during insert stage command Why is this PR needed? For insertStageCommand, spark is reusing the internalRow as two times we transform from RDD[InternalRow] -> dataframe -> logical Plan -> RDD[InternalRow]. So, same data is inserted on other rows What changes were proposed in this PR? Copy the internalRow after the last transform. This closes #3694
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).