commit | c7c83684b0237e3eec9d6c3af904293e207e733a | [log] [tgz] |
---|---|---|
author | xuchuanyin <xuchuanyin@hust.edu.cn> | Fri Oct 19 10:37:23 2018 +0800 |
committer | QiangCai <qiangcai@qq.com> | Tue Oct 23 16:32:24 2018 +0800 |
tree | d47f2a23afb95b870b59558a344e3a64345c7103 | |
parent | 682cac85a6de85334dc378e48e3f56ce6530c116 [diff] |
[CARBONDATA-3028][32k] Fix bugs in spark file format table with blanks in longstringcolumns If we create a spark file format table with multiple longstringcolumns and the option long_string_columns contains blank characters, the query on that table will fail, cause it didn't recognize the correct varchar columns. The root cause is that carbondata didn't trim the blank in long_string_columns while it recognizing the varchar columns. This closes #2834
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).