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Using Structured Query Language ( Sql ) And Query

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ABSTRACT
Structured Query Language (SQL) and Query by Example (QBE) are two of the most commonly used programming languages for Relational Data source Management Solutions (RDBMS 's). However, both of these software solutions have complications pertaining to ease-of-use, especially in expressing simple quantification, indicating complex nested queries, and adaptability and thickness in demonstrating queries data return capabilities. To alleviate these types of problems, an additional query language called "Data Flow Query Language" (DFQL) was developed. This unique thesis investigates the essential contraindications, strengths, and weaknesses of the three 'languages '. We split queries into four different types: single-value, set-value, statistical end result, and set count value. Within each type, a representative pair of queries by each dialect is described and compared. Some of the things specified are usually logical apparatus of the various other (already defined) queries, which tend to be used to analyze the query languages ' flexibility as well as consistency inside formulating, related concerns. Based on the examination, we determine that DFQL eliminates the issues of SQL and QBE mentioned above. The relative advantages of DFQL generally come from the strict devotion to relational algebra as well as dataflow-based solutions.

INTRODUCTION
SQL and QBE are the two predominant query languages that are generally bundled together with RDBMS solutions (e. DB2, MS SQL,

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