An intuitive utility to help find the CSS path to UI elements on a webpage. These paths are used frequently in a variety of front-end development and QA automation tasks.
One of a set of tools we're offering as a way of saying thank you for being a part of the community.
When creating the Primary Key, if a clustered index does not already exist on the table or a nonclustered index is not explicitly specified, a unique, clustered index is created to enforce the PRIMARY KEY constraint.
You may also want to consider a UNIQUE Constraint and the use of a surrogate key as the Primary Key.
If you do create a clustered index, then by definition, the leaf level of a clustered index and the data pages are the same.
The "KEY VALUE" will result in a sequence of the composite key. However, if spanning different (partitions) filespaces then it is not gauranteed that it will return everything in exact sequence. By default, a clustered index has a single partition. When a clustered index has multiple partitions, each partition has a B-tree structure that contains the data for that specific partition. For example, if a clustered index has four partitions, there are four B-tree structures; one in each partition. You must really use the ORDER BY to ensure correct sequence.
However, assuming a single partition,
table My_abc (a int, b int, c int, d varchar(100), CONSTRAINT PK_My_abc PRIMARY KEY CLUSTERED (a,b,c))
with values (1,1,1,'first c'), (1,2,1,'second b'), (2,1,1,'second a'), (1,1,2,'Second c'), (1,2,2,'Second b and c')
will return thr rows in the sequence of the key
(1,1,1,'first c')
(1,1,2,'Second c')
(1,2,1,'second b')
(1,2,2,'Second b and c')
(2,1,1,'second a')