DbSchema PostgreSQL starts when you begin the lesson

Lesson 4

Missing values: NULL

For readers who finished lesson 3 and can filter rows with WHERE.

After this lesson you can find the rows where a value is missing, and put a value of your own in its place.
  • What NULL means
  • Why = NULL finds nothing
  • IS NULL and IS NOT NULL
  • NULL and <>
  • COALESCE
  • 4 exercises

Start the lesson

Every query runs on real PostgreSQL, in your browser. It downloads once, about 6 MB, then starts in a few seconds.

For a reference page on the same statements, read SQL NULL Values: IS NULL, COALESCE, NULLIF, and Common Pitfalls.

The idea

NULL marks a value that is missing

Customers 5 to 8 with their phone numbers. Customer 7, Lina, has NULL as phone: no phone on file.

Not every customer gave a phone number. Where a value is unknown, the column holds NULL. It is not zero and not empty text: it says that there is no value at all, in a column of any type.

Try it

Look at a customer without a phone

Table public.customers ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who buy from the shop.customers 🔑 Pk customers_pkey ( customer_id ) ⧉ customer_id * int4 ↙ orders( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the customer.customer_id 🔗 Referred by orders ( customer_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the customer.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the customer.last_name 🔍 Unq customers_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The email address of the customer. No two customers share one.email ⧉ phone text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The phone number of the customer. NULL when the customer gave none.phone ⧉ country * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The country the customer lives in.country ⧉ signup_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the customer created an account.signup_date
Hover a table or a column to read its comment.
select customer_id, first_name, phone
from customers
where customer_id between 5 and 8;

Customer 7, Lina, has NULL as phone. The page writes NULL in italics, apart from any text.

The idea

A comparison with NULL is neither true nor false

Comparing a value with NULL asks whether it equals a value nobody knows. PostgreSQL answers NULL, unknown:

select 5 = 5, 5 = 6, 5 = null, null = null;
?column??column??column??column?
tfNULLNULL

t is true and f is false. Even two NULLs are not known to be equal.

Watch out

WHERE phone = NULL finds nobody

WHERE keeps a row only when its condition is true, and phone = null is never true. count(*) counts the rows of the answer; lesson 6 has more on it.

Table public.customers ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who buy from the shop.customers 🔑 Pk customers_pkey ( customer_id ) ⧉ customer_id * int4 ↙ orders( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the customer.customer_id 🔗 Referred by orders ( customer_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the customer.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the customer.last_name 🔍 Unq customers_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The email address of the customer. No two customers share one.email ⧉ phone text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The phone number of the customer. NULL when the customer gave none.phone ⧉ country * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The country the customer lives in.country ⧉ signup_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the customer created an account.signup_date
Hover a table or a column to read its comment.
select count(*)
from customers
where phone = null;

0, although 71 customers have no phone.

Try it

IS NULL is the test for a missing value

Write IS NULL instead of = null. Its opposite is is not null, which keeps the rows that have a value.

Table public.customers ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who buy from the shop.customers 🔑 Pk customers_pkey ( customer_id ) ⧉ customer_id * int4 ↙ orders( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the customer.customer_id 🔗 Referred by orders ( customer_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the customer.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the customer.last_name 🔍 Unq customers_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The email address of the customer. No two customers share one.email ⧉ phone text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The phone number of the customer. NULL when the customer gave none.phone ⧉ country * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The country the customer lives in.country ⧉ signup_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the customer created an account.signup_date
Hover a table or a column to read its comment.
select count(*)
from customers
where phone is null;

71 customers have no phone. Change is null to is not null and the count becomes 429.

Watch out

A row with NULL fails every comparison, <> included

Table public.customers ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who buy from the shop.customers 🔑 Pk customers_pkey ( customer_id ) ⧉ customer_id * int4 ↙ orders( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the customer.customer_id 🔗 Referred by orders ( customer_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the customer.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the customer.last_name 🔍 Unq customers_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The email address of the customer. No two customers share one.email ⧉ phone text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The phone number of the customer. NULL when the customer gave none.phone ⧉ country * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The country the customer lives in.country ⧉ signup_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the customer created an account.signup_date
Hover a table or a column to read its comment.

Customer 1's phone is +1 555 4831. These are meant to be all the other customers:

select count(*) from customers where phone <> '+1 555 4831';
count
428

Not 499: the 71 customers without a phone are left out too, since NULL <> '+1 555 4831' is unknown as well. Add or phone is null to keep them.

Try it

COALESCE puts a value where one is missing

COALESCE returns its first argument that is not NULL. coalesce(phone, 'no phone') is the phone where there is one, and the text no phone where there is none.

Table public.customers ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who buy from the shop.customers 🔑 Pk customers_pkey ( customer_id ) ⧉ customer_id * int4 ↙ orders( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the customer.customer_id 🔗 Referred by orders ( customer_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the customer.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the customer.last_name 🔍 Unq customers_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The email address of the customer. No two customers share one.email ⧉ phone text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The phone number of the customer. NULL when the customer gave none.phone ⧉ country * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The country the customer lives in.country ⧉ signup_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the customer created an account.signup_date
Hover a table or a column to read its comment.
select first_name, coalesce(phone, 'no phone')
from customers
where customer_id between 5 and 8;

Lina's phone reads no phone; the other three are unchanged.

Exercise 1 of 4

Show the first name, last name and email of every customer without a phone number.

Table public.customers ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who buy from the shop.customers 🔑 Pk customers_pkey ( customer_id ) ⧉ customer_id * int4 ↙ orders( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the customer.customer_id 🔗 Referred by orders ( customer_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the customer.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the customer.last_name 🔍 Unq customers_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The email address of the customer. No two customers share one.email ⧉ phone text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The phone number of the customer. NULL when the customer gave none.phone ⧉ country * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The country the customer lives in.country ⧉ signup_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the customer created an account.signup_date
Hover a table or a column to read its comment.
Expected result

It shows once PostgreSQL is ready.

Each check sends the exercise, your SQL and any PostgreSQL error to dbschema.com, without your IP address, so that the hints can improve.

Show answer
select first_name, last_name, email from customers where phone is null

Exercise 2 of 4

How many orders were placed online, that is, with no employee? Answer with one number.

Table public.orders ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ One purchase by one customer. Its products are the rows of order_items.orders 🔑 Pk orders_pkey ( order_id ) ⧉ order_id * int4 ↙ order_items( order_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the order.order_id 🔗 Referred by order_items ( order_id ) ⧉ customer_id * int4 ↗ customers( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The customer who placed the order: a customer_id of customers.customer_id 🔗 References customers ( customer_id ) ⧉ employee_id int4 ↗ employees( employee_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The employee who took the order: an employee_id of employees. NULL for an order placed online.employee_id 🔗 References employees ( employee_id ) ⧉ order_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the order was placed.order_date ⧉ status * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Where the order stands: pending, shipped, delivered or cancelled.status
Hover a table or a column to read its comment.
Expected result

It shows once PostgreSQL is ready.

Each check sends the exercise, your SQL and any PostgreSQL error to dbschema.com, without your IP address, so that the hints can improve.

Show answer
select count(*) from orders where employee_id is null

Exercise 3 of 4

Show the first and last name of every employee who has no manager.

🔗 Foreign Key employees_manager_id_fkey employees ➔ employees ( manager_id -> employee_id ) 🔗 Foreign Key employees_manager_id_fkey employees ➔ employees ( manager_id -> employee_id ) manager_id Table public.employees ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who work for the shop.employees 🔑 Pk employees_pkey ( employee_id ) ⧉ employee_id * int4 ↙ employees( manager_id ) ↙ orders( employee_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the employee.employee_id 🔗 Referred by employees ( manager_id -> employee_id ) Referred by orders ( employee_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the employee.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the employee.last_name 🔍 Unq employees_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The work email address. No two employees share one.email ⧉ department_id * int4 ↗ departments( department_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The department the employee works in: a department_id of departments.department_id 🔗 References departments ( department_id ) ⧉ manager_id int4 ↗ employees( employee_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The employee this employee reports to: an employee_id of this same table. NULL for the head of a department.manager_id 🔗 References employees ( manager_id -> employee_id ) ⧉ hire_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the employee started.hire_date ⧉ salary * numeric(10,2) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The yearly salary, with two decimals.salary
Hover a table or a column to read its comment.
Expected result

It shows once PostgreSQL is ready.

Each check sends the exercise, your SQL and any PostgreSQL error to dbschema.com, without your IP address, so that the hints can improve.

Show answer
select first_name, last_name from employees where manager_id is null

Exercise 4 of 4

For customers 1 to 14, show the first name, the last name, and the phone, or the text no phone where it is missing.

Table public.customers ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The people who buy from the shop.customers 🔑 Pk customers_pkey ( customer_id ) ⧉ customer_id * int4 ↙ orders( customer_id ) ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The number that identifies the customer.customer_id 🔗 Referred by orders ( customer_id ) ⧉ first_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The first name of the customer.first_name ⧉ last_name * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The last name of the customer.last_name 🔍 Unq customers_email_key ( email ) ⧉ email * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The email address of the customer. No two customers share one.email ⧉ phone text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The phone number of the customer. NULL when the customer gave none.phone ⧉ country * text ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The country the customer lives in.country ⧉ signup_date * date ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ The day the customer created an account.signup_date
Hover a table or a column to read its comment.
Expected result

It shows once PostgreSQL is ready.

Each check sends the exercise, your SQL and any PostgreSQL error to dbschema.com, without your IP address, so that the hints can improve.

Show answer
select first_name, last_name, coalesce(phone, 'no phone') from customers where customer_id <= 14