Open ozkary opened 4 months ago
Provider.GEMINI Generated code:
/* Common Table Expression (CTE) to calculate monthly station visitor counts */
WITH MonthlyStationCounts AS (
SELECT
STRFTIME('%Y-%m', created_dt) AS month, /* Extract year-month from created_dt */
ds.station_name,
SUM(fc.entries + fc.exits) AS total_visitors
FROM
fact_commuter fc
JOIN
dim_station ds ON fc.station_id = ds.station_id
WHERE
STRFTIME('%Y', created_dt) = '2024' /* Filter for year 2024 */
GROUP BY
month, ds.station_name
),
/* CTE to rank stations within each month based on total visitors */
RankedStations AS (
SELECT
month,
station_name,
total_visitors,
RANK() OVER (PARTITION BY month ORDER BY total_visitors DESC) AS rank_within_month
FROM
MonthlyStationCounts
)
/* Retrieve the top 10 most visited stations for each month */
SELECT
month,
station_name,
total_visitors,
rank_within_month
FROM
RankedStations
WHERE
rank_within_month <= 10
ORDER BY
month, rank_within_month;
Provider.GEMINI Generated code:
WITH MonthlyStationActivity AS (
-- CTE 1: Calculate monthly station activity
SELECT
SUBSTR(created_dt, 1, 7) AS month,
s.station_name,
SUM(c.entries + c.exits) AS total_visitors
FROM
fact_commuter c
JOIN
dim_station s ON c.station_id = s.station_id
WHERE
created_dt BETWEEN '2024-01-01' AND '2024-12-31'
GROUP BY
1, 2
),
RankedStations AS (
-- CTE 2: Rank stations within each month
SELECT
month,
station_name,
total_visitors,
RANK() OVER (PARTITION BY month ORDER BY total_visitors DESC) AS rank
FROM
MonthlyStationActivity
)
-- Final query: Retrieve top 10 stations for each month
SELECT
month,
station_name,
total_visitors,
rank
FROM
RankedStations
WHERE
rank <= 10
ORDER BY
month,
total_visitors DESC;
Provider.GEMINI Generated code:
WITH MonthlyCommuterActivity AS (
SELECT
STRFTIME('%Y-%m', created_dt) AS visit_month,
station_id,
SUM(entries + exits) AS total_visitors
FROM fact_commuter
WHERE STRFTIME('%Y', created_dt) = '2024'
GROUP BY 1, 2
), RankedStations AS (
SELECT
visit_month,
station_name,
total_visitors,
RANK() OVER (PARTITION BY visit_month ORDER BY total_visitors DESC) AS rank
FROM MonthlyCommuterActivity
JOIN dim_station ON MonthlyCommuterActivity.station_id = dim_station.station_id
)
SELECT
visit_month,
station_name,
total_visitors,
rank
FROM RankedStations
WHERE rank <= 10
ORDER BY visit_month, rank;
As a database developer, I need to create a complex SQL query that utilizes CTEs (Common Table Expressions) and joins to extract and analyze data efficiently. This query should identify the top 10 most visited stations for each month of the year 2024. So that, I can gain insights into station usage patterns and optimize resource allocation across the network.
Data Model:
Requirements:
Desired Outcome:
The generated SQL code should effectively leverage CTEs and joins to achieve the stated goals. The output should be a clear table displaying the month, station name, total visitors, and rank for the top 10 most visited stations in each month of 2024.