PostgreSQL Tutorial
Data Types
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Working with Sets
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User-defined Functions
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PostgreSQL PL/pgSQL
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Errors & Exception Handling
The IS NULL
operator in PostgreSQL is used to test for null values. In relational databases, a null value indicates that a specific piece of data is absent or unknown. It is important to note that a null value is different from an empty string or a zero value.
To check if a column or expression yields a NULL
value, you use the following syntax:
column_name IS NULL
To check if a column or expression yields a non-NULL
value, you can use:
column_name IS NOT NULL
Selecting rows with a NULL value in a specific column:
Suppose you have a table students
and you want to find all students who don't have an assigned classroom.
SELECT * FROM students WHERE classroom IS NULL;
Selecting rows without a NULL value in a specific column: To find all students who have an assigned classroom:
SELECT * FROM students WHERE classroom IS NOT NULL;
Using with other conditions:
If you want to combine the IS NULL
or IS NOT NULL
check with other conditions, you can use the AND
or OR
operators.
SELECT * FROM students WHERE classroom IS NOT NULL AND grade = 'A';
NULL
is not the same as an empty string (''
) or zero. It represents the absence of data.
When comparing using the equality (=
) or inequality (<>
or !=
) operators with a NULL
value, the result is always NULL
and not a boolean TRUE
or FALSE
. For instance, the expression (NULL = NULL)
does not yield TRUE
; instead, it yields NULL
. This is why the special IS NULL
and IS NOT NULL
operators exist for checking null values.
In logical operations, PostgreSQL treats NULL
as an "unknown" value. This means, for instance, that TRUE AND NULL
yields NULL
(because the outcome is unknown), while FALSE AND NULL
yields FALSE
(because the AND operation will be false regardless of the unknown value).
Functions and expressions that involve NULL
values typically return NULL
. For instance, any arithmetic operation with a NULL
will yield NULL
.
How to use IS NULL in PostgreSQL:
IS NULL
condition is used to check if a value is NULL.SELECT column_name FROM table_name WHERE column_name IS NULL;
Checking for NULL values with IS NULL in PostgreSQL:
IS NULL
to filter rows with NULL values.SELECT * FROM example_table WHERE nullable_column IS NULL;
Using IS NULL with WHERE clause in PostgreSQL:
IS NULL
within the WHERE
clause.SELECT * FROM employees WHERE manager_id IS NULL;
IS NULL vs. = NULL in PostgreSQL:
IS NULL
instead of = NULL
for NULL comparisons.SELECT * FROM table_name WHERE column_name IS NULL;
Handling NULL values in comparisons with IS NULL in PostgreSQL:
IS NULL
for accurate results.SELECT * FROM example_table WHERE nullable_column IS NULL OR nullable_column = 42;
Using IS NULL in conjunction with other operators in PostgreSQL:
IS NULL
with other operators for complex conditions.SELECT * FROM products WHERE stock_quantity < 10 AND expiration_date IS NULL;
Using IS NULL in SELECT statements in PostgreSQL:
IS NULL
in the SELECT
statement to display NULL values.SELECT column_name, other_column, (column_name IS NULL) AS is_null_check FROM example_table;
IS NULL with JOIN operations in PostgreSQL:
IS NULL
in JOIN conditions for matching or excluding NULL values.SELECT * FROM orders LEFT JOIN customers ON orders.customer_id = customers.customer_id WHERE customers.customer_id IS NULL;
IS NULL in subqueries in PostgreSQL:
IS NULL
in subqueries for filtering results.SELECT * FROM employees WHERE department_id IN (SELECT department_id FROM departments WHERE location IS NULL);
Negating conditions with IS NOT NULL in PostgreSQL:
IS NOT NULL
to filter non-NULL values.SELECT * FROM example_table WHERE non_nullable_column IS NOT NULL;
IS NULL and aggregate functions in PostgreSQL:
SELECT AVG(salary) FROM employees WHERE manager_id IS NULL;
IS NULL with OR and AND conditions in PostgreSQL:
IS NULL
with OR
and AND
for flexible conditions.SELECT * FROM example_table WHERE (column1 IS NULL AND column2 = 'value') OR column3 IS NULL;
Using IS NULL with index scans in PostgreSQL:
IS NULL
conditions might not use indexes efficiently.CREATE INDEX idx_nullable_column ON example_table(nullable_column); SELECT * FROM example_table WHERE nullable_column IS NULL; -- Index might not be used efficiently
IS NULL in combination with EXISTS in PostgreSQL:
IS NULL
with EXISTS
to check for the absence of records.SELECT * FROM employees WHERE NOT EXISTS (SELECT 1 FROM employee_reviews WHERE employee_id = employees.employee_id);
IS NULL with GROUP BY and HAVING clauses in PostgreSQL:
IS NULL
in GROUP BY and HAVING clauses for aggregations.SELECT department_id, COUNT(*) FROM employees GROUP BY department_id HAVING COUNT(*) > 1 AND MAX(manager_id) IS NULL;
IS NULL in stored procedures and functions in PostgreSQL:
IS NULL
conditions in stored procedures and functions as needed.CREATE OR REPLACE FUNCTION example_function() RETURNS TABLE (column1 INTEGER, column2 VARCHAR) AS $$ BEGIN RETURN QUERY SELECT * FROM example_table WHERE column1 IS NULL; END; $$ LANGUAGE plpgsql;