N037-M4 Tier 3 · Intermediate · medium analytics · Streamhub

Return the ID and event type of every event whose event type contains `click` or `view`, regardless of capitalization

Part of Pattern Matching (LIKE, ILIKE, SIMILAR TO, Regex) in SQL

The problem

Streamhub's engagement analyst is reviewing interaction events.

Write a query to return the ID and event type of every event whose event type contains click or view, regardless of capitalization.

Assumptions:

  • The events table has one row per event with an id and an event_type.
  • A qualifying event has an event_type containing the substring click or the substring view somewhere in the string, with case ignored.

Output:

  • One row per qualifying event, with columns id and event_type.
Schema · analytics 5 tables
users
id integer
name text
email text
country text
plan text
signed_up_at timestamptz
is_active boolean
conversions
id integer
user_id integer
converted_at timestamptz
plan text
amount numeric
sessions
id integer
user_id integer
started_at timestamptz
ended_at? timestamptz
event_count integer
events
id integer
user_id integer
session_id? integer
event_type text
occurred_at timestamptz
properties? jsonb
periods
id integer
name text
start_month integer
end_month integer

Run previews · Check grades

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

Worked solution Try it yourself first
Solution query
SELECT
  id,
  event_type
FROM
  events
WHERE
  event_type ~* 'click|view'

The shape

~* is the case-insensitive regex operator, and the pattern click|view is two substrings joined by alternation. A single predicate covers page_view and upgrade_clicked and would also catch any PAGE_VIEW or Upgrade_Clicked variant, because the case fold happens automatically on both sides of the match.

Clause by clause

  • SELECT id, event_type returns the event ID and its type for the engagement review.
  • FROM events reads the events table.
  • WHERE event_type ~* 'click|view' keeps rows whose event type contains click or view. The * suffix on ~ flips the operator to case-insensitive matching. The | separates the two alternatives. The regex is not anchored, so the substring can appear at any position in the event type.

Why this and not ILIKE '%click%' OR ILIKE '%view%'

Both forms return the same rows. The regex collapses two ILIKE predicates joined by OR into one predicate with two alternatives. The savings grow with the number of alternatives. The trade-off is readability: an analyst who hasn't worked with POSIX regex will read ILIKE faster. On a team that already uses regex, the ~* spelling is fine.

The trap

The four POSIX operators are easy to confuse. ~ is case-sensitive match; ~* is case-insensitive match; !~ is case-sensitive negation; !~* is case-insensitive negation. The * always means "case fold the comparison." The ! always means "negate the result." Mixing them up changes which rows the predicate keeps, and the wrong operator returns rows that look superficially correct, which makes the mistake easy to ship.

You practiced ~* — case-insensitive regex matching with alternation, the right operator when capitalization should be ignored on both sides of the comparison.

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.