A interpreter which takes relational algebra expression as input from the user, automatically converts them to SQL queries, executes the queries on the database server, and outputs the results of the ...

All the expressions should end with a semicolon (“;”); The join conditions for relational algebra need to be put in a pair of curve brackets (“{}”). On the left side of the applet, user can input all ...

Relational database systems have succeeded commercially because of their straightforwardness and well-built theoretical foundation. This paper ¿Implementation of Relational Algebra Interpreter using ...

It has been 30 years since the framework of query optimization was defined by System-R and relational query optimization has been a great success story commercially. Yet, statistical estimation ...

Relational DBMSs allow users to extend the standard declarative SQL language surface using User Defined Functions (UDFs) that implement custom behavior. While UDFs offer many advantages, it is ...

Using an algebraic formalism over the database fields, Polaris constructs tables consisting of layers and panes, with the possibility of a different graphics in each pane. For the sake of brevity of ...

This paper focuses on the query transformation problem in such an integration scenario. To bridge the semantic gap between the express power of SPARQL and SQL, we describe the semantic of SPARQL graph ...

Today’s database systems are very good at optimizing SQL queries – essentially relational algebraic expressions. One of the key advantages of Froid’s approach is that it leverages existing query ...

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.