commit | e9e7a36c7b1814755e22a83e81c8ab0604064517 | [log] [tgz] |
---|---|---|
author | Byunghwa Yun <combine@combineads.co.kr> | Wed Jan 27 22:25:11 2016 -0800 |
committer | Jihoon Son <jihoonson@apache.org> | Wed Jan 27 22:25:44 2016 -0800 |
tree | 331b5481d350c1c8b5c128279318a1bac1e294b9 | |
parent | 73a43d8b7bdba7c3963efd9df87f6e3d3a703cfd [diff] |
TAJO-2036: Prevent out of memory in the master server, if the query result is large. Closes #928 Signed-off-by: Jihoon Son <jihoonson@apache.org>
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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