commit | 81ab265fdb77a2eedc0c9b4dccc2826b461daf56 | [log] [tgz] |
---|---|---|
author | Jinho Kim <jhkim@apache.org> | Wed Feb 17 14:19:23 2016 +0900 |
committer | Jinho Kim <jhkim@apache.org> | Wed Feb 17 14:19:23 2016 +0900 |
tree | 9af5c423a1cc947011c48853c466e5fe7bd3316c | |
parent | 294104d2805f8c8a18b92f9255403e73ae5fabb2 [diff] |
TAJO-2077: Join condition causes incorrect result, when a table has an empty row file. Closes #963
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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