N034-H2 Tier 3 · Intermediate · hard ecommerce · Brightlane

Return both the date produced by adding `1` calendar month to `'2024-01-31'` and the date produced by adding `30` days to that same starting date, in a single row

Part of Date Arithmetic and Intervals in SQL

The problem

Brightlane's data engineering team is documenting how a calendar-month duration and a fixed-day duration behave differently when applied to a month-end date.

Write a query to return both the date produced by adding 1 calendar month to '2024-01-31' and the date produced by adding 30 days to that same starting date, in a single row.

Output:

  • A single row with columns one_month_later (the date one calendar month after '2024-01-31') and thirty_days_later (the date thirty days after '2024-01-31'). 2024 is a leap year.
Schema · ecommerce 5 tables
categories
id integer
name text
parent_id? integer
products
id integer
name text
category_id integer
price numeric
stock_qty integer
attributes? jsonb
order_items
id integer
order_id integer
product_id integer
quantity integer
unit_price numeric
customers
id integer
name text
email text
city? text
country text
created_at timestamptz
is_active boolean
orders
id integer
customer_id integer
ordered_at timestamptz
status text
total_amount numeric

Run previews · Check grades

Write a query, then run it to see results here.

Worked solution Try it yourself first
Solution query
SELECT
  '2024-01-31'::date + INTERVAL '1 month' AS one_month_later,
  '2024-01-31'::date + INTERVAL '30 days' AS thirty_days_later

The shape

The two columns in the result show how a calendar-month duration and a fixed-day duration diverge when applied to a month-end date. Adding INTERVAL '1 month' to January 31, 2024 clamps to February 29, the last valid day of February. Adding INTERVAL '30 days' advances thirty literal days and lands on March 1, because thirty days from January 31 crosses into March in a year where February has 29 days.

Clause by clause

  • SELECT '2024-01-31'::date + INTERVAL '1 month' AS one_month_later, '2024-01-31'::date + INTERVAL '30 days' AS thirty_days_later evaluates two independent date arithmetic expressions in one row. Both start from the same anchor, '2024-01-31'::date. The first applies a calendar-month interval, which preserves day-of-month when possible and clamps when not, producing February 29. The second applies a fixed thirty-day interval, which advances the date by exactly thirty days regardless of month boundaries, producing March 1.

Why the two intervals diverge

INTERVAL stores months and days as separate components, because a month is a variable-length unit. '1 month' is one month, applied as a month-component shift. '30 days' is thirty days, applied as a day-component shift. They have no fixed conversion. In February of a non-leap year the two would also diverge but in the opposite direction. The interval type is precise on purpose: it preserves the unit you wrote so the calendar logic stays consistent with the domain.

The trap

A learner who reads "thirty days is roughly a month" and treats the two intervals as interchangeable will produce inconsistent period boundaries the moment the anchor is a month-end date. The two are never equivalent for any anchor near the end of a month, and they diverge by between one and three days depending on the month. When the schedule needs to align to calendar months, use INTERVAL '1 month'. When the schedule needs a fixed day count, use INTERVAL '30 days'. The unit is part of the meaning of the duration.

You practiced contrasting INTERVAL '1 month' against INTERVAL '30 days' from the same anchor — calendar-month durations clamp to month boundaries; day-count durations advance a fixed number of days regardless of month length.

How you actually get good at SQL

Reading explains SQL. Writing it, over and over with instant feedback, is what makes you fluent.

That's the whole SQLMaxx loop: 600+ real problems, instant AI feedback, mastery you can actually see, and spaced review that won't let you forget.

A stack of SQL practice problem cards, the top card showing an employees table.
615 problems · 66 concepts

Real problems. Not toy examples.

615 hand-built problems spanning all 66 concepts, from basic SELECTs to window functions, built on real schemas and real business questions, the kind you'll actually get asked on the job. Enough reps to make SQL automatic.

A retro computer showing a SQL query marked correct with a green checkmark.
Instant AI feedback

Write a query. Know if it's right in one second.

No copying an answer and hoping it clicked. The AI grader checks your real query against real data, catches exactly what's wrong, and explains the fix in plain English, like a senior analyst reading over your shoulder on every problem.

A circular mastery progress dial filling from blue to green, the SQLMaxx diamond at its center.
Mastery tracking

Stop guessing whether you actually know it.

SQLMaxx tracks every concept and shows you what you've mastered and what's still shaky. Your skills fill in one concept at a time, so 'I think I get joins' becomes something you can prove.

A SQL query editor circled by a blue return arrow with a clock, scheduled to come back for review.
Spaced review

Learn it once. Keep it for good.

Most of what you learn this week fades by next week. So when a concept comes due for review, SQLMaxx hands you a fresh problem to solve from a blank editor, not a flashcard to re-read. A research-backed spaced-repetition algorithm (FSRS) times each return for right before you'd forget, so your SQL is still there months later, when the interview or the job actually needs it.

Practice, feedback, mastery, review. That's the loop that turns reading into real skill.

Start free

No account, no credit card. Start solving in under a minute.