
doi: 10.26076/dd31-c8d2
We present an efficient model to retrieve data from a database by implementing plug-and-play queries using the query guards. The model is efficient in the sense that it saves time when writing a query and promotes query portability and reuse. A plug-and-play query is a freestanding query that can couple to any data socket and self determine whether it can be evaluated reliably on the data. We use hierarchies to improve SQL querying in a way that eliminates the need to write a view to construct virtual tables or a set of tables to run a query. The hierarchy is a declarative specification of the desired shape of data rather than a description of how the data is organized. The advantage is that the common use of logical or semantic pointers in the SQL queries is eliminated and a natural way to group data for aggregation is provided. The plug-and-play queries have several advantages, they are portable and can be used to evaluate any data source.
SQL, query guards, Computer Sciences, 005, plug-and-play queries, database
SQL, query guards, Computer Sciences, 005, plug-and-play queries, database
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
