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  2. Join (SQL) - Wikipedia

    en.wikipedia.org/wiki/Join_(SQL)

    Join order: Because it joins functions commutatively and associatively, the order in which the system joins tables does not change the final result set of the query. However, join-order could have an enormous impact on the cost of the join operation, so choosing the best join order becomes very important.

  3. Microsoft Access - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Access

    Microsoft Access is designed to scale to support more data and users by linking to multiple Access databases or using a back-end database like Microsoft SQL Server. With the latter design, the amount of data and users can scale to enterprise-level solutions. Microsoft Access's role in web development prior to version 2010 is limited.

  4. Language Integrated Query - Wikipedia

    en.wikipedia.org/wiki/Language_Integrated_Query

    Furthermore, a finalization function, taking the aggregation result to yet another value, can be supplied. This implement the Fold higher-order function. Join / GroupJoin The Join operator performs an inner join on two collections, based on matching keys for objects in each collection. It takes two functions as delegates, one for each ...

  5. DUAL table - Wikipedia

    en.wikipedia.org/wiki/DUAL_table

    The idea was that you could do a JOIN to the DUAL table and create two rows in the result for every one row in your table. Then, by using GROUP BY, the resulting join could be summarized to show the amount of storage for the DATA extent and for the INDEX extent(s). The name, DUAL, seemed apt for the process of creating a pair of rows from just one.

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  8. Select (SQL) - Wikipedia

    en.wikipedia.org/wiki/Select_(SQL)

    While joins and other table operations provide computationally superior (i.e. faster) alternatives in many cases (all depending on implementation), the use of subqueries introduces a hierarchy in execution that can be useful or necessary. In the following example, the aggregation function AVG receives as input the result of a subquery:

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