commit | d08688a1e4164949c4761bf394a01752787457a8 | [log] [tgz] |
---|---|---|
author | akkio-97 <akshay.nuthala@gmail.com> | Wed Dec 18 19:24:13 2019 +0530 |
committer | Jacky Li <jacky.likun@qq.com> | Tue Jan 14 17:33:12 2020 +0800 |
tree | ea7bbc44dffd030eb0890369969dfe9d00d633fb | |
parent | c52e90d3403c60d752edb7e2dbad5405b7025ac7 [diff] |
[CARBONDATA-3623]: Fixed global sort compaction failure on timestamp column Problem: In Carbondata the timestamp is converted into long and stored in RDD. While collect(action) is applied on dataframe it gives an error due to the confliction between data types that is - long in carbonScanRDD(from which dataframe is created) and Timestamp in schema. Solution: Called Dataset.ofRows(LogicalPlan) which returns the dataframe. Used Set command which sets all segments to be compacted. And Unset once the compaction is finished. This closes #3515
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).