EASYasked at 1 company

Create a Session Bar Chart

A easy-tier problem at 75% community acceptance, tagged with Database. Reported in interviews at Twitch and 0 others.

Founder's read

You're staring at a Twitch or similar streaming platform interview, and they hit you with a database problem about session analytics. Create a Session Bar Chart is the kind of problem that looks deceptively simple until you realize you're building a histogram from raw event data. With a 75% acceptance rate, most people pass it, but the ones who don't usually fumble the grouping logic or mess up the output format. If this shows up in your OA and you blank on the grouping strategy, StealthCoder surfaces a working solution invisible to the proctor so you don't tank an otherwise solid round.

Companies asking
1
Difficulty
EASY
Acceptance
75%

Companies that ask "Create a Session Bar Chart"

If this hits your live OA

Create a Session Bar Chart is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.

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What this means

The real challenge here is converting individual session events into bucketed time intervals and counting them correctly. You're not just querying a table; you're aggregating sessions by duration or time window and formatting the result as a bar chart dataset. The trap candidates fall into is either overcounting overlapping sessions, mishandling the binning logic, or returning data in the wrong shape for visualization. Database fundamentals matter here: you need to understand GROUP BY, time arithmetic, and possibly CASE statements or HAVING clauses to filter and shape the output. The problem tests whether you can think in terms of data pipelines, not just individual row retrieval. If the grouping logic isn't clean, your chart is garbage. StealthCoder keeps you moving when the SQL syntax or aggregation strategy isn't clicking in real time.

Pattern tags

The honest play

You know the problem. Make sure you actually pass it.

Create a Session Bar Chart recycles across companies for a reason. It's easy-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage. Works on HackerRank, CodeSignal, CoderPad, and Karat.

Create a Session Bar Chart interview FAQ

Is this problem still asked at Twitch and similar companies?+

Yes. Platform and analytics companies regularly ask session or event-aggregation problems to test database thinking. This specific problem has been reported from Twitch and appears designed for backend and data-adjacent roles. Expect variations on grouping and bucketing.

What's the actual trick to this problem?+

The trick is correct time-bucketing or duration-binning logic. Most candidates write GROUP BY clauses that work but forget edge cases like sessions spanning bucket boundaries or timezone handling. The chart output format matters too; you're not just numbers, you're structured data for visualization.

How much of this is SQL versus application logic?+

Depends on the platform and language. Pure SQL solutions exist if you can do all grouping and aggregation in the query. Some interviews expect you to fetch raw sessions and bucket them in code. Ask the interviewer which approach they prefer, but SQL-only is usually cleaner for this type of problem.

Is this harder than other easy-tagged database problems?+

Not significantly. Easy database problems usually test GROUP BY, basic joins, and aggregates. This one adds a bucketing or windowing layer on top, so it's slightly more involved than 'count users by region,' but the logic isn't tricky if you're solid on grouping and time functions.

What database topics do I actually need to know?+

GROUP BY, COUNT or SUM aggregates, time/date functions (FLOOR, DATE_TRUNC, or equivalent), and possibly CASE statements for custom bucketing. Window functions are optional but can simplify the solution. Start with basic aggregation and expand if you hit performance issues.

Want the actual problem statement? View "Create a Session Bar Chart" on LeetCode →

Frequency and company-tag data sourced from public community-maintained interview-report repos. Problem, description, and trademark © LeetCode. StealthCoder is not affiliated with LeetCode.