Start by clarifying the schema: identify the join key between the streamer and session tables, and confirm that each session has a view count. Then write a query that joins the tables, groups by streamer and session, and sums the view count. Finally, discuss edge cases like sessions with no views or streamers with no sessions.
Pro tip: Mention that you would validate the grain of the session table (e.g., one row per session) to avoid double-counting views, and consider using a LEFT JOIN to include streamers with zero sessions if the business needs a complete list.
Ask about the table structures, join keys, and whether the output should include streamers with no sessions. Confirm the definition of 'total view count' (e.g., sum of views per session).
Determine the common column (e.g., streamer_id) to join the tables. Decide whether to group by streamer and session, or just by streamer if session-level detail is not needed.
Construct a query using JOIN, GROUP BY, and SUM. Use aliases for readability and consider using COALESCE to handle NULLs if using LEFT JOIN.
Check for duplicate sessions or multiple view records per session. Discuss indexing on join and group by columns for performance.
Address scenarios like streamers with no sessions, sessions with zero views, and how to extend the query for additional metrics (e.g., average views per session).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.