SQL-ACT : content-based and history-aware input prediction for non-trivial SQL queries

SQL-ACT : content-based and history-aware input prediction for non-trivial SQL queries

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.

Bibliographic Details
Main Author: Manzi, Eric R
Other Authors: Samuel R. Madden.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Electrical Engineering and Computer Science.
Online Access:http://hdl.handle.net/1721.1/119534

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