How is the pattern matching done in the SQL?

2 answers:

7 0

SQL pattern matching allows you to search for patterns in data if you don't know the exact word or phrase you are seeking.

Alinara [238K]2 years ago

6 0

Answer:

SQL pattern matching allows you to search for patterns in data if you don't know the exact word or phrase you are seeking. This kind of SQL query uses wildcard characters to match a pattern, rather than specifying it exactly. For example, you can use the wildcard "C%" to match any string beginning with a capital C.

Explanation:

You might be interested in

To quit, a user types 'q'. To continue, a user types any other key. Which expression evaluates to true if a user should continue

devlian [24]

Answer:

!(key == 'q')

Explanation:

Based on the description, the coded expression that would equate to this would be

!(key == 'q')

This piece of code basically states that "if key pressed is not equal to q", this is because the ! symbol represents "not" in programming. Meaning that whatever value the comparison outputs, it is swapped for the opposite. In this case, the user would press anything other than 'q' to continue, this would make the expression output False, but the ! operator makes it output True instead.

3 0

3 years ago

What are some beginning keyboarding questions?

Assoli18 [71]

Answer:

What's the correct position to put your hands on the keyboard?

Explanation:

5 0

3 years ago

Read 2 more answers

The range of a finite nonempty set of $n$ real numbers $S$ is defined as the difference between the largest and smallest element

-Dominant- [34]

Answer: Hello your question is poorly written attached below is the well written question

answer:

a) Determine ( compute ) the difference between the max and minimum value. determine the Min and max values using 1.5n comparisons

time efficiency = θ( n )

b) A(n-1) - A(0)

time efficiency = θ( 1 )

Explanation:

a) An unsorted array

To find the maximum and minimum values scan the array of elements , then determine ( compute ) the difference between the max and minimum value. to determine the range. Alternatively determine the Min and max values using 1.5n comparisons

Algorithm's time efficiency = θ( n )

b) A sorted array

To determine the range, we will determine the difference between the first and last element i.e. A(n-1) - A(0)

time efficiency = θ( 1 )