commit | 099c2cd837c71bf0d80a13ddc6e5bff8e5c8e3ae | [log] [tgz] |
---|---|---|
author | Jinho Kim <jhkim@apache.org> | Mon Jan 18 11:02:25 2016 +0900 |
committer | Jinho Kim <jhkim@apache.org> | Mon Jan 18 11:02:25 2016 +0900 |
tree | 1d5bc7c026b8b4191de4787a3a0f0e7781e360a7 | |
parent | 845e7c35a5eb96b6c70375ee288324c0cb052226 [diff] |
TAJO-2057: Remove redundant class loading in plan optimizer. Closes #943
Tajo is a relational and distributed data warehouse system for Hadoop. Tajo is designed for low-latency and scalable ad-hoc queries, online aggregation and ETL on large-data sets by leveraging advanced database techniques. It supports SQL standards. It has its own query engine which allows direct control of distributed execution and data flow. As a result, Tajo has a variety of query evaluation strategies and more optimization opportunities. In addition, Tajo will have a native columnar execution and and its optimizer.
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