运行 #12

Sol

查询 2026-01-01（含）起的已完成订单及客户名称，按订单总金额降序、订单 ID 升序排列。

SELECT
  o.order_id,
  c.customer_name,
  o.order_date,
  o.total_amount
FROM fact_orders AS o
JOIN dim_customers AS c
  ON o.customer_id = c.customer_id
WHERE
  o.status = 'completed' AND o.order_date >= CAST('2026-01-01' AS DATE)
ORDER BY
  o.total_amount DESC,
  o.order_id ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

按商品品类汇总已完成订单的 distinct 订单数和订单行净销售额，并按净销售额降序、品类升序排列。

SELECT
  p.category AS category,
  COUNT(DISTINCT o.order_id) AS order_count,
  SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS net_revenue
FROM fact_orders AS o
JOIN fact_order_items AS oi
  ON oi.order_id = o.order_id
JOIN dim_products AS p
  ON p.product_id = oi.product_id
WHERE
  o.status = 'completed'
GROUP BY
  p.category
ORDER BY
  net_revenue DESC,
  category ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

列出所有客户及其已完成订单数，保留零订单客户，并按完成订单数降序、客户 ID 升序排列。

SELECT
  c.customer_id,
  c.customer_name,
  COUNT(DISTINCT CASE WHEN o.status = 'completed' THEN o.order_id END) AS completed_order_count
FROM dim_customers AS c
LEFT JOIN fact_orders AS o
  ON c.customer_id = o.customer_id
GROUP BY
  c.customer_id,
  c.customer_name
ORDER BY
  completed_order_count DESC,
  c.customer_id ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

返回金额高于其客户分群已完成订单平均金额的已完成订单，并按订单金额降序、订单 ID 升序排列。

SELECT
  o.order_id,
  o.customer_id,
  c.segment,
  o.total_amount,
  (
    SELECT
      AVG(o2.total_amount)
    FROM fact_orders AS o2
    JOIN dim_customers AS c2
      ON o2.customer_id = c2.customer_id
    WHERE
      o2.status = 'completed' AND c2.segment = c.segment
  ) AS segment_avg_amount
FROM fact_orders AS o
JOIN dim_customers AS c
  ON o.customer_id = c.customer_id
WHERE
  o.status = 'completed'
  AND o.total_amount > (
    SELECT
      AVG(o3.total_amount)
    FROM fact_orders AS o3
    JOIN dim_customers AS c3
      ON o3.customer_id = c3.customer_id
    WHERE
      o3.status = 'completed' AND c3.segment = c.segment
  )
ORDER BY
  o.total_amount DESC,
  o.order_id ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

返回从未有已完成订单的客户，并按 customer_id 升序排列。

SELECT
  c.customer_id,
  c.customer_name
FROM dim_customers AS c
WHERE
  NOT EXISTS(
    SELECT
      1
    FROM fact_orders AS o
    WHERE
      o.customer_id = c.customer_id AND o.status = 'completed'
  )
ORDER BY
  c.customer_id ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

按完成订单的净销售额，为每个品类选出前三个有销售记录的商品；同额时优先 product_id 较小者。

WITH product_revenue AS (
  SELECT
    p.category,
    p.product_id,
    p.product_name,
    SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS net_revenue
  FROM fact_order_items AS oi
  JOIN fact_orders AS o
    ON oi.order_id = o.order_id
  JOIN dim_products AS p
    ON oi.product_id = p.product_id
  WHERE
    o.status = 'completed'
  GROUP BY
    p.category,
    p.product_id,
    p.product_name
), ranked_products AS (
  SELECT
    category,
    product_id,
    product_name,
    net_revenue,
    ROW_NUMBER() OVER (PARTITION BY category ORDER BY net_revenue DESC, product_id ASC) AS rank_no
  FROM product_revenue
)
SELECT
  category,
  product_id,
  product_name,
  net_revenue,
  rank_no
FROM ranked_products
WHERE
  rank_no <= 3
ORDER BY
  category ASC,
  rank_no ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

按月汇总 2025 年已完成订单的净收入，并使用按月份排序的 SUM 窗口计算累计收入。

WITH monthly AS (
  SELECT
    STRFTIME(o.order_date, '%Y-%m') AS month,
    SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS monthly_revenue
  FROM fact_orders AS o
  JOIN fact_order_items AS oi
    ON oi.order_id = o.order_id
  WHERE
    o.status = 'completed'
    AND o.order_date >= CAST('2025-01-01' AS DATE)
    AND o.order_date < CAST('2026-01-01' AS DATE)
  GROUP BY
    1
)
SELECT
  month,
  monthly_revenue,
  SUM(monthly_revenue) OVER (ORDER BY month ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_revenue
FROM monthly
ORDER BY
  month ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

按月汇总 2025 年完成订单的净销售额，并使用 LAG 计算环比百分比；首个有收入月份及上月收入为 0 时环比为 NULL。

WITH monthly AS (
  SELECT
    STRFTIME(fact_orders.order_date, '%Y-%m') AS month,
    SUM(
      fact_order_items.quantity * fact_order_items.unit_price - fact_order_items.discount_amount
    ) AS monthly_revenue
  FROM fact_orders
  JOIN fact_order_items
    ON fact_order_items.order_id = fact_orders.order_id
  WHERE
    fact_orders.status = 'completed'
    AND fact_orders.order_date >= CAST('2025-01-01' AS DATE)
    AND fact_orders.order_date < CAST('2026-01-01' AS DATE)
  GROUP BY
    1
), with_previous AS (
  SELECT
    month,
    monthly_revenue,
    LAG(monthly_revenue) OVER (ORDER BY month) AS previous_revenue
  FROM monthly
)
SELECT
  month,
  monthly_revenue,
  ROUND((
    monthly_revenue - previous_revenue
  ) * 100.0 / NULLIF(previous_revenue, 0), 2) AS mom_pct
FROM with_previous
ORDER BY
  month ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

返回累计已完成订单净消费高于有已完成订单客户平均累计消费的客户，并按消费额降序、客户 ID 升序排列。

SELECT
  customer_id,
  customer_name,
  total_spend
FROM (
  SELECT
    customer_id,
    customer_name,
    total_spend,
    AVG(total_spend) OVER () AS avg_total_spend
  FROM (
    SELECT
      c.customer_id,
      c.customer_name,
      SUM(oi.quantity * oi.unit_price - oi.discount_amount) AS total_spend
    FROM dim_customers AS c
    JOIN fact_orders AS o
      ON o.customer_id = c.customer_id
    JOIN fact_order_items AS oi
      ON oi.order_id = o.order_id
    WHERE
      o.status = 'completed'
    GROUP BY
      c.customer_id,
      c.customer_name
  ) AS customer_spend
) AS customer_spend_with_avg
WHERE
  total_spend > avg_total_spend
ORDER BY
  total_spend DESC,
  customer_id ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

按渠道类型汇总 paid、refunded 和 failed 三类支付金额，并按渠道类型升序排列。

SELECT
  c.channel_type,
  SUM(CASE WHEN p.status = 'paid' THEN p.amount ELSE 0 END) AS paid_amount,
  SUM(CASE WHEN p.status = 'refunded' THEN p.amount ELSE 0 END) AS refunded_amount,
  SUM(CASE WHEN p.status = 'failed' THEN p.amount ELSE 0 END) AS failed_amount
FROM fact_payments AS p
JOIN fact_orders AS o
  ON p.order_id = o.order_id
JOIN dim_channels AS c
  ON o.channel_id = c.channel_id
GROUP BY
  c.channel_type
ORDER BY
  c.channel_type ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

分别聚合完成订单各品类的售出量与退货量，再计算退货率并按退货率降序、品类升序输出。

WITH sold_by_category AS (
  SELECT
    p.category,
    SUM(oi.quantity) AS sold_qty
  FROM fact_orders AS o
  JOIN fact_order_items AS oi
    ON oi.order_id = o.order_id
  JOIN dim_products AS p
    ON p.product_id = oi.product_id
  WHERE
    o.status = 'completed'
  GROUP BY
    p.category
), returned_by_category AS (
  SELECT
    p.category,
    SUM(r.return_qty) AS returned_qty
  FROM fact_orders AS o
  JOIN fact_order_items AS oi
    ON oi.order_id = o.order_id
  JOIN dim_products AS p
    ON p.product_id = oi.product_id
  JOIN fact_returns AS r
    ON r.order_id = oi.order_id AND r.line_no = oi.line_no
  WHERE
    o.status = 'completed'
  GROUP BY
    p.category
)
SELECT
  s.category,
  s.sold_qty,
  COALESCE(r.returned_qty, 0) AS returned_qty,
  ROUND(CAST(COALESCE(r.returned_qty, 0) AS DECIMAL(18, 3)) / NULLIF(s.sold_qty, 0), 4) AS return_rate
FROM sold_by_category AS s
LEFT JOIN returned_by_category AS r
  ON r.category = s.category
ORDER BY
  return_rate DESC,
  s.category ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA

Sol

为每个有成功支付记录的订单返回最新一笔成功支付；支付时间相同时选择 payment_id 较大的记录。

SELECT
  order_id,
  payment_id,
  paid_at,
  amount
FROM (
  SELECT
    order_id,
    payment_id,
    paid_at,
    amount,
    ROW_NUMBER() OVER (PARTITION BY order_id ORDER BY paid_at DESC, payment_id DESC) AS rn
  FROM fact_payments
  WHERE
    status = 'paid'
) AS ranked_payments
WHERE
  rn = 1
ORDER BY
  order_id ASC

Gemini

Gemini 退出码 41: Please set an Auth method in your $PROJECT_ROOT/var/cli-homes/gemini/3/.gemini/settings.json or specify one of the following environment variables before running: GEMINI_API_KEY, GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_GENAI_USE_GCA