commit | f906eef03238a070f0f2eb58a3fca37b24d64643 | [log] [tgz] |
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author | Indhumathi27 <indhumathim27@gmail.com> | Wed Jan 08 19:57:08 2020 +0530 |
committer | Jacky Li <jacky.likun@qq.com> | Wed Jan 15 15:09:53 2020 +0800 |
tree | 6379b66974831ec93739ca75a268fdd080deb0a8 | |
parent | 7442c293f75995e6bcc8390e82ac44a9d51d08b6 [diff] |
[CARBONDATA-3658] Prune and Cache only Matched partitioned segments for filter on Partitioned table Why is this PR needed? For filter on parition column, we are currently loading all index files to cache. Since VM's in cloud scenarios, does not have much memory, all index files will be too big to store in driver. What changes were proposed in this PR? For filter on partition column, load only index for matched segments. Does this PR introduce any user interface change? No Is any new testcase added? Yes This closes #3568
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).