57 citations · 61 across the 4 of their papers we have counts for
4 papers
Efficient Massively Parallel Join Optimization for Large Queries
Riccardo Mancini, Srinivas Karthik, Bikash Chandra +2
Modern data analytical workloads often need to run queries over a large number of tables. An optimal query plan for such queries is crucial for being able to run these queries with…
Edit Based Grading of SQL Queries
Bikash Chandra, Ananyo Banerjee, Udbhas Hazra +2
Grading student SQL queries manually is a tedious and error-prone process. Earlier work on testing correctness of student SQL queries, such as the XData system, can be used to test…
Runtime Optimization of Join Location in Parallel Data Management Systems
Bikash Chandra, S. Sudarshan
Applications running on parallel systems often need to join a streaming relation or a stored relation with data indexed in a parallel data storage system. Some applications also co…
Data Generation for Testing and Grading SQL Queries
Bikash Chandra, Bhupesh Chawda, Biplab Kar +3
Correctness of SQL queries is usually tested by executing the queries on one or more datasets. Erroneous queries are often the results of small changes, or mutations of the correct…