commit | ec8bfce1a35467b3aa144a76fefc3fcdf261bfdd | [log] [tgz] |
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author | Indhumathi27 <indhumathim27@gmail.com> | Tue Apr 14 16:37:45 2020 +0530 |
committer | akashrn5 <akashnilugal@gmail.com> | Mon Apr 27 17:36:11 2020 +0530 |
tree | 02daa2157655f746cec7c133c4b7402500c898c8 | |
parent | 2b77065170b66923539f28927f0981027ea740a2 [diff] |
[CARBONDATA-3781] Refactor code to optimize partition pruning Why is this PR needed? If number of partitions is more on a segment, cost of checking if (indexPath equalsIgnoreCase partitionsToPrune) in BlockletIndexFactory.getTableBlockUniqueIdentifierWrappers() is high. What changes were proposed in this PR? 1.Store location of partition filter in a SET and check if it contains indexPath. 2. Remove unused variables This closes #3707
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).