Inserting, Updating and Deleting Data

Inserting Data

To insert rows into a table, you use the insert statement. Here you need to declare the table to write to, the columns to fill and one or more rows of data to insert:

insert into task (title, description, duration, status) values
('Read the Next.js book', 'Read and understand the Next.js book.', 60, 'inprogress'),
('Write a task app', 'Write an awesome task app.', 10, 'todo'),
('Think of a funny joke', 'Come up with a funny joke to lighten the mood.', 120, 'inprogress');

Note that we do not need to include the id and created_at column values. After all, the id value has the serial data type, so PostgreSQL will automatically create new values for this column. Additionally, the created_at column has a default constraint, so PostgreSQL will automatically create new values for this column too.

It's crucial to ensure that the inserted data respects the constraints we defined earlier.

For example, we need to respect the check constraint on the duration column. This statement wouldn't work:

insert into task (title, description, duration, status) values
('Read the Next.js book', 'Read and understand the Next.js book', -10, 'todo');

You would get the following error:

ERROR:  23514: new row for relation "task" violates check constraint "task_duration_check"

We would get a similar error if we would try to insert a null value into a column that declares a not null constraint:

insert into task (title, description, duration, status) values
('Read the Next.js book', null, 60, 'todo');

Now we would get the following error:

ERROR:  23502: null value in column "description" of relation "task" violates not-null constraint

Updating Data

You can update rows using the update statement. Here you need to specify which table, which columns and which rows to update:

update task
set status = 'done'
where id = 1;

You can also update more than one column at the same time:

update task
set status = 'done', duration = 0
where id = 1;

You should be very careful when updating data. If you make a mistake in the where clause you can update rows that you never intended to change.

Deleting Data

You can delete rows using the delete statement. Here you need to specify which table to use and which rows to remove:

delete from task
where status = 'done';

If you don't specify a filter all data will be deleted:

delete from task;

Again, you should be very careful when deleting data. If you make a mistake in the where clause you will delete rows that you never intended to remove.