Concatenating field field oracle third two updating

Even though the database creates the index for the primary key automatically, there is still room for manual refinements if the key consists of multiple columns.In that case the database creates an index on all primary key columns—a so-called concatenated index (also known as multi-column, composite or combined index).

Quite often folks are confused about the potential of breaking relational fundamentals such as the First Normal Form or the scalar nature of typed values.

(Talking about 1NF violations in a language like SQL which lacks sufficient domain support, allows NULLs and supports duplicates is somewhat ironic to begin with, but that is a topic which requires detailed explanations.) By ‘Concatenating row values’ we mean this: You have a table, view or result that looks like this……and you wish to have a resultset like the one below: In this example we are accessing the sample North Wind database and using the following SQL The objective is to return a resultset with two columns, one with the Category Identifier, and the other with a concatenated list of all the Product Names separated by a delimiting character: such as a comma.

This means you have to know the column combinations that appear in the clause.

Defining an optimal index is therefore very difficult for external consultants because they don't have an overview of the application's access paths. They do not exploit the extra benefit the index could bring for other queries.

His book entitled SQL Performance Explained has become standard reading.“Use The Index, Luke!

” by Markus Winand is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License.

The ordering of a two-column index is therefore like the ordering of a telephone directory: it is first sorted by surname, then by first name.

That means that a two-column index does not support searching on the second column alone; that would be like searching a telephone directory by first name.

Markus Winand teaches efficient SQL—inhouse and online.

He minimizes the development time using modern SQL and optimizes the runtime with smart indexing.

One such core aspect is the set based nature of SQL expressions (well, multi-sets to be exact, but for the given context let us ignore the issue of duplication).

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