commit | 9fcc9fd3af4479c3042e4907938b18b6e264b500 | [log] [tgz] |
---|---|---|
author | Hyunsik Choi <hyunsik@apache.org> | Mon Mar 21 15:22:29 2016 +0900 |
committer | Hyunsik Choi <hyunsik@apache.org> | Mon Mar 21 15:22:29 2016 +0900 |
tree | 81f92aace2c25691d492ce07357228975ee5250e | |
parent | dbaf9725a7063ed4185671a3beda436494a00bfd [diff] |
TAJO-2091: Error or progress update should use stderr instead of stdout. Closes #977
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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