How to use searching and filtering data in an SQL server?
How to use searching and filtering data in an SQL server?
15211-Jul-2024
Updated on 12-Jul-2024
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How to use searching and filtering data in an SQL server?
Ravi Vishwakarma
12-Jul-2024Searching and filtering data in SQL Server is primarily done using the
SELECT
statement combined with various clauses such asWHERE
,LIKE
,IN
,BETWEEN
,AND
,OR
,ORDER BY
, and more. Here are some common ways to search and filter data:1. Basic Filtering with
WHERE
The
WHERE
clause is used to filter records based on specified conditions.Example: Filtering by a Single Condition
2. Using
AND
andOR
for Multiple ConditionsYou can combine multiple conditions using
AND
andOR
.Example: Filtering by Multiple Conditions
3. Pattern Matching with
LIKE
The
LIKE
operator is used for pattern matching. It often includes wildcard characters such as%
(matches any sequence of characters) and_
(matches any single character).Example: Using
LIKE
for Pattern Matching4. Filtering with
IN
The
IN
operator allows you to specify multiple values in aWHERE
clause.Example: Using
IN
to Filter by a List of Values5. Filtering with
BETWEEN
The
BETWEEN
operator is used to filter within a range of values. It works with numbers, text, and dates.Example: Using
BETWEEN
for Ranges6. Sorting Results with
ORDER BY
The
ORDER BY
clause is used to sort the result set by one or more columns.Example: Sorting Results
7. Combining Filtering and Sorting
You can combine filtering and sorting in a single query.
Example: Filtering and Sorting
8. Filtering with Aggregate Functions
You can use aggregate functions such as
COUNT
,SUM
,AVG
,MIN
, andMAX
in conjunction with theGROUP BY
andHAVING
clauses to filter grouped data.Example: Using Aggregate Functions
Note
WHERE
: Basic filtering.AND
&OR
: Combining multiple conditions.LIKE
: Pattern matching.IN
: Filtering by a list of values.BETWEEN
: Filtering within a range.ORDER BY
: Sorting results.These techniques allow you to effectively search and filter data in SQL Server, tailoring your queries to meet specific needs and extract meaningful information from your database.
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