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A WHERE
clause in SQL specifies that a SQL Data Manipulation Language (DML) statement should only affect rows that meet specified criteria. The criteria are expressed in the form of predicates. WHERE
clauses are not mandatory clauses of SQL DML statements, but can be used to limit the number of rows affected by a SQL DML statement or returned by a query. In brief SQL WHERE clause is used to extract only those results from a SQL statement, such as: SELECT
, INSERT
, UPDATE
, or DELETE
statement. [1]
WHERE
is an SQL reserved word.
The WHERE
clause is used in conjunction with SQL DML statements, and takes the following general form:
SQL-DML-StatementFROMtable_nameWHEREpredicate
all rows for which the predicate in the WHERE
clause is True are affected (or returned) by the SQL DML statement or query. Rows for which the predicate evaluates to False or Unknown (NULL) are unaffected by the DML statement or query.
The following query returns only those rows from table mytable where the value in column mycol is greater than 100.
SELECT*FROMmytableWHEREmycol>100
The following DELETE
statement removes only those rows from table mytable where the column mycol is either NULL or has a value that is equal to 100.
DELETEFROMmytableWHEREmycolISNULLORmycol=100
Simple predicates use one of the operators =
, <>
, >
, >=
, <
, <=
, IN
, BETWEEN
, LIKE
, IS NULL
or IS NOT NULL
.
Predicates can be enclosed in parentheses if desired. The keywords AND
and OR
can be used to combine two predicates into a new one. If multiple combinations are applied, parentheses can be used to group combinations to indicate the order of evaluation. Without parentheses, the AND
operator has a stronger binding than OR
.
The following example deletes rows from mytable where the value of mycol is greater than 100, and the value of item is equal to the string literal 'Hammer':
DELETEFROMmytableWHEREmycol>100ANDitem='Hammer'
IN
will find any values existing in a set of candidates.
SELECTenameWHEREenameIN('Montreal','Quebec')
All rows match the predicate if their value is one of the candidate set of values. This is the same behavior as
SELECTenameWHEREename='value1'ORename='value2'
except that the latter could allow comparison of several columns, which each IN
clause does not. For a larger number of candidates, IN
is less verbose.
BETWEEN
will find any values within a range.
SELECTenameWHEREenameBETWEEN'value1'AND'value2'
SELECTsalaryfromempWHEREsalaryBETWEEN5000AND10000
All rows match the predicate if their value is between 'value1' and 'value2', inclusive.
LIKE
will find a string fitting a certain description.
SELECTenameFROMempWHEREenameLIKE'S%';
SELECTenameFROMempWHEREenameLIKE'%S';
SELECTenameFROMempWHEREenameLIKE'%S%';
SELECTenameFROMempWHEREenameLIKE'%A_E%';
SELECTenameFROMempWHEREenameLIKE'[a-zA-Z0-9_]%';
The LIKE predicate typically performs a search without the normal performance benefit of indexes. Using '=', '<>', etc.. instead will increase performance. Case sensitivity (e.g., 'S' versus 's') may be different based upon database product or configuration.
This one is used in PostgresSQL that supports regular expressions with the following syntax: [3]
string[NOT]SIMILARTOpattern[ESCAPEescape-character]
It works similarly to LIKE statement mentioned above.
Structured Query Language (SQL) is a domain-specific language used to manage data, especially in a relational database management system (RDBMS). It is particularly useful in handling structured data, i.e., data incorporating relations among entities and variables.
Transact-SQL (T-SQL) is Microsoft's and Sybase's proprietary extension to the SQL used to interact with relational databases. T-SQL expands on the SQL standard to include procedural programming, local variables, various support functions for string processing, date processing, mathematics, etc. and changes to the DELETE and UPDATE statements.
In the context of SQL, data definition or data description language (DDL) is a syntax for creating and modifying database objects such as tables, indices, and users. DDL statements are similar to a computer programming language for defining data structures, especially database schemas. Common examples of DDL statements include CREATE
, ALTER
, and DROP
. If you see a .ddl file, that means the file contains a statement to create a table. Oracle SQL Developer contains the ability to export from an ERD generated with Data Modeler to either a .sql file or a .ddl file.
A join clause in the Structured Query Language (SQL) combines columns from one or more tables into a new table. The operation corresponds to a join operation in relational algebra. Informally, a join stitches two tables and puts on the same row records with matching fields : INNER
, LEFT OUTER
, RIGHT OUTER
, FULL OUTER
and CROSS
.
The SQL SELECT statement returns a result set of rows, from one or more tables.
An SQL INSERT statement adds one or more records to any single table in a relational database.
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is a reserved word used to identify this marker.
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statements to INSERT
new records or UPDATE
existing records depending on whether condition matches. It was officially introduced in the SQL:2003 standard, and expanded in the SQL:2008 standard.
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A HAVING
clause in SQL specifies that an SQL SELECT
statement must only return rows where aggregate values meet the specified conditions.
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