我想评估某些条件是否得到满足，然后返回某个文本。我正在使用CASE语法，但我不完全确定这是否是最实用的方法。还因为某些条件必须匹配其他条件（返回'延迟'的WHEN语句）。即使它看起来很混乱，但它确实有效，除了“延迟”声明中的最后一个标准。
这是我目前的CASE声明：
CASE
WHEN
(stf.status_id IN ('38','14','13','12','16','18') AND stf.date >= (p.fecha_prevista_entrega + INTERVAL '30 minutes'))
OR (stf.status_id IN ('38','14','13','12','16','18') AND stf.date < (os.rider_accepted + INTERVAL '5 minutes'))
THEN 'Not Paid - Cancelled'
WHEN
(stf.status_id IN ('38','14','13','12','16','18') AND stf.date <= (p.fecha_prevista_entrega + INTERVAL '30 minutes'))
AND (stf.status_id IN ('38','14','13','12','16','18') AND stf.date >= p.fecha_entrega_repartidor)
THEN 'Paid - Cancelled'
WHEN
(u.first_name ILIKE '%LKF%' AND ((EXTRACT(HOUR FROM os.food_delivered - p.fecha_prevista_entrega)*60+EXTRACT(MINUTE FROM os.food_delivered - p.fecha_prevista_entrega)+EXTRACT(SECOND FROM os.food_delivered - p.fecha_prevista_entrega)/60) > '15'))
OR (u.first_name NOT ILIKE '%LKF%' AND ((EXTRACT(HOUR FROM os.food_delivered - p.fecha_prevista_entrega)*60+EXTRACT(MINUTE FROM os.food_delivered - p.fecha_prevista_entrega)+EXTRACT(SECOND FROM os.food_delivered - p.fecha_prevista_entrega)/60) > '30'))
AND (
((od.preorder = '0' AND od.order_comment ILIKE '%' || u.first_name || '%') AND (EXTRACT(HOUR FROM os.rider_assigned - od.date)*60+EXTRACT(MINUTE FROM os.rider_assigned - od.date)+EXTRACT(SECOND FROM os.rider_assigned - od.date)/60) < '15')
OR
((od.preorder = '0' AND od.order_comment NOT ILIKE '%' || u.first_name || '%') AND (EXTRACT(HOUR FROM os.rider_assigned - od.date)*60+EXTRACT(MINUTE FROM os.rider_assigned - od.date)+EXTRACT(SECOND FROM os.rider_assigned - od.date)/60) < '20')
OR
(od.preorder = '1' AND (EXTRACT(HOUR FROM p.fecha_prevista_entrega - os.rider_assigned)*60+EXTRACT(MINUTE FROM p.fecha_prevista_entrega - os.rider_assigned)+EXTRACT(SECOND FROM p.fecha_prevista_entrega - os.rider_assigned)/60) > '30')
OR
((EXTRACT(HOUR FROM os.food_delivered - p.fecha_prevista_entrega)*60+EXTRACT(MINUTE FROM os.food_delivered - p.fecha_prevista_entrega)+EXTRACT(SECOND FROM os.food_delivered - p.fecha_prevista_entrega)/60) > '15')
OR
((os.rider_at_restaurant >= (p.fecha_entrega_repartidor + INTERVAL '3 minutes')) AND ((EXTRACT(HOUR FROM os.food_picked_up - p.fecha_entrega_repartidor)*60+EXTRACT(MINUTE FROM os.food_picked_up - p.fecha_entrega_repartidor)+EXTRACT(SECOND FROM os.food_picked_up - p.fecha_entrega_repartidor)/60) < '15'))
)
THEN 'Delay'
ELSE 'None' END AS payment_adj
该声明的这一部分不起作用：
OR
((os.rider_at_restaurant >= (p.fecha_entrega_repartidor + INTERVAL '3 minutes')) AND ((EXTRACT(HOUR FROM os.food_picked_up - p.fecha_entrega_repartidor)*60+EXTRACT(MINUTE FROM os.food_picked_up - p.fecha_entrega_repartidor)+EXTRACT(SECOND FROM os.food_picked_up - p.fecha_entrega_repartidor)/60) < '15'))
我已经交叉检查了几个显示“延迟”的结果，但不应该显示它，因为它们不符合这个条件。
这是完整的查询
WITH order_steps AS
(
SELECT pedido_id,
MAX(CASE WHEN situacion = 0 THEN created_at END) AS rider_assigned,
MAX(CASE WHEN situacion = 1 THEN created_at END) AS rider_viewed,
MAX(CASE WHEN situacion = 2 THEN created_at END) AS rider_accepted,
MAX(CASE WHEN situacion = 3 THEN created_at END) AS rider_at_restaurant,
MAX(CASE WHEN situacion = 4 THEN created_at END) AS food_picked_up,
MAX(CASE WHEN situacion = 5 THEN created_at END) AS rider_at_customer,
MAX(CASE WHEN situacion = 6 THEN created_at END) AS food_delivered,
MAX(CASE WHEN situacion = 10 THEN created_at END) AS unknown_status
FROM dwh.tracking_motero t
GROUP BY 1
ORDER BY 1,2
),
assigned_riders AS (
WITH rider_assignments AS (
SELECT mp.pedido_id, mp.motero_id, mp.created_at, ROW_NUMBER() OVER (PARTITION BY mp.pedido_id ORDER BY mp.created_at DESC) AS last_assignments
FROM dwh.motero_pedido mp
)
SELECT pedido_id, motero_id FROM rider_assignments
WHERE last_assignments = 1
)
SELECT
CASE
WHEN
(stf.status_id IN ('38','14','13','12','16','18') AND stf.date >= (p.fecha_prevista_entrega + INTERVAL '30 minutes'))
OR (stf.status_id IN ('38','14','13','12','16','18') AND stf.date < (os.rider_accepted + INTERVAL '5 minutes'))
THEN 'Not Paid - Cancelled'
WHEN
(stf.status_id IN ('38','14','13','12','16','18') AND stf.date <= (p.fecha_prevista_entrega + INTERVAL '30 minutes'))
AND (stf.status_id IN ('38','14','13','12','16','18') AND stf.date >= p.fecha_entrega_repartidor)
THEN 'Paid - Cancelled'
WHEN
(u.first_name ILIKE '%LKF%' AND ((EXTRACT(HOUR FROM os.food_delivered - p.fecha_prevista_entrega)*60+EXTRACT(MINUTE FROM os.food_delivered - p.fecha_prevista_entrega)+EXTRACT(SECOND FROM os.food_delivered - p.fecha_prevista_entrega)/60) > '15'))
OR (u.first_name NOT ILIKE '%LKF%' AND ((EXTRACT(HOUR FROM os.food_delivered - p.fecha_prevista_entrega)*60+EXTRACT(MINUTE FROM os.food_delivered - p.fecha_prevista_entrega)+EXTRACT(SECOND FROM os.food_delivered - p.fecha_prevista_entrega)/60) > '30'))
AND (
((od.preorder = '0' AND od.order_comment ILIKE '%' || u.first_name || '%') AND (EXTRACT(HOUR FROM os.rider_assigned - od.date)*60+EXTRACT(MINUTE FROM os.rider_assigned - od.date)+EXTRACT(SECOND FROM os.rider_assigned - od.date)/60) < '15')
OR
((od.preorder = '0' AND od.order_comment NOT ILIKE '%' || u.first_name || '%') AND (EXTRACT(HOUR FROM os.rider_assigned - od.date)*60+EXTRACT(MINUTE FROM os.rider_assigned - od.date)+EXTRACT(SECOND FROM os.rider_assigned - od.date)/60) < '20')
OR
(od.preorder = '1' AND (EXTRACT(HOUR FROM p.fecha_prevista_entrega - os.rider_assigned)*60+EXTRACT(MINUTE FROM p.fecha_prevista_entrega - os.rider_assigned)+EXTRACT(SECOND FROM p.fecha_prevista_entrega - os.rider_assigned)/60) > '30')
OR
((EXTRACT(HOUR FROM os.food_delivered - p.fecha_prevista_entrega)*60+EXTRACT(MINUTE FROM os.food_delivered - p.fecha_prevista_entrega)+EXTRACT(SECOND FROM os.food_delivered - p.fecha_prevista_entrega)/60) > '15')
OR
((os.rider_at_restaurant >= (p.fecha_entrega_repartidor + INTERVAL '3 minutes')) AND ((EXTRACT(HOUR FROM os.food_picked_up - p.fecha_entrega_repartidor)*60+EXTRACT(MINUTE FROM os.food_picked_up - p.fecha_entrega_repartidor)+EXTRACT(SECOND FROM os.food_picked_up - p.fecha_entrega_repartidor)/60) < '15'))
)
THEN 'Delay'
ELSE 'None' END AS payment_adj,
p.id AS urban_ninja_id,
o.order_fp_code AS order_code,
p.total AS order_amount,
p.paymenttype_name,
u.first_name AS rider_code,
p.direccion AS delivery_address,
p.fecha_entrega_repartidor AS expected_pick_up_time,
p.fecha_prevista_entrega AS expected_delivery_time,
od.date AS order_creation_date,
os.rider_assigned,
os.rider_viewed,
os.rider_accepted,
os.rider_at_restaurant,
os.food_picked_up,
os.rider_at_customer,
os.food_delivered,
os.unknown_status,
st.id AS status_id,
st.code AS status_code,
st.title AS status,
ve.title AS vendor,
EXTRACT(HOUR FROM os.rider_assigned-od.date)*60+EXTRACT (MINUTE FROM os.rider_assigned-od.date)+EXTRACT (SECOND FROM os.rider_assigned-od.date)/60 AS dispatching_time,
EXTRACT(HOUR FROM os.rider_viewed-os.rider_assigned)*60+EXTRACT (MINUTE FROM os.rider_viewed-os.rider_assigned)+EXTRACT (SECOND FROM os.rider_viewed-os.rider_assigned)/60 AS rider_reaction_time,
EXTRACT(HOUR FROM os.rider_accepted-os.rider_viewed)*60+EXTRACT (MINUTE FROM os.rider_accepted-os.rider_viewed)+EXTRACT (SECOND FROM os.rider_accepted-os.rider_viewed)/60 AS rider_acceptance_time,
EXTRACT(HOUR FROM os.rider_at_restaurant-os.rider_accepted)*60+EXTRACT (MINUTE FROM os.rider_at_restaurant-os.rider_accepted)+EXTRACT (SECOND FROM os.rider_at_restaurant-os.rider_accepted)/60 AS rider_driving_to_restaurant_time,
EXTRACT(HOUR FROM os.food_picked_up-os.rider_at_restaurant)*60+EXTRACT (MINUTE FROM os.food_picked_up-os.rider_at_restaurant)+EXTRACT (SECOND FROM os.food_picked_up-os.rider_at_restaurant)/60 AS rider_in_restaurant_time,
EXTRACT(HOUR FROM os.rider_at_customer-os.food_picked_up)*60+EXTRACT (MINUTE FROM os.rider_at_customer-os.food_picked_up)+EXTRACT (SECOND FROM os.rider_at_customer-os.food_picked_up)/60 AS rider_driving_to_customer_time,
EXTRACT(HOUR FROM os.food_delivered-os.rider_at_customer)*60+EXTRACT (MINUTE FROM os.food_delivered-os.rider_at_customer)+EXTRACT (SECOND FROM os.food_delivered-os.rider_at_customer)/60 AS rider_at_customer_time,
EXTRACT (HOUR FROM os.food_delivered-od.date)*60 + EXTRACT (MINUTE FROM os.food_delivered-od.date) + EXTRACT (SECOND FROM os.food_delivered-od.date)/60 AS delivery_time,
od.order_comment,
od.preorder
FROM dwh.pedido p
LEFT JOIN dwh.order_fp o ON p.id = o.pedido_id
LEFT JOIN order_steps os ON os.pedido_id = p.id
LEFT JOIN assigned_riders r ON r.pedido_id = p.id
LEFT JOIN dwh.moteros m ON m.id = r.motero_id
LEFT JOIN dwh.sf_guard_user u ON u.id = m.sf_guard_user_id
INNER JOIN dwh."Orders" od ON od.id = o.order_fp_id
INNER JOIN dwh."Status" st ON st.id = od.status_id
INNER JOIN dwh."Statusflows" stf ON stf.order_id = od.id
INNER JOIN dwh."Vendors" ve ON od.vendor_id = ve.id
WHERE u.first_name NOT IN ('TEST RIDER','Jan')
and os.rider_accepted between (current_date-30) and (current_date-1)
GROUP BY p.id, stf.status_id, stf.date, os.rider_accepted, u.first_name, os.food_delivered, od.preorder, od.order_comment, os.rider_assigned, od.date, os.food_picked_up, os.rider_at_restaurant, o.order_fp_code, os.rider_viewed, os.rider_at_customer, os.unknown_status, st.id, ve.title
LIMIT 100;
答案 0 :(得分：2)
很难确定CASE子句中的逻辑，但至少下面的内容应该有效，因为它在语法上是正确的：
WITH order_steps AS (
SELECT pedido_id,
max(CASE WHEN situacion = 0 THEN created_at END) AS rider_assigned,
max(CASE WHEN situacion = 1 THEN created_at END) AS rider_viewed,
max(CASE WHEN situacion = 2 THEN created_at END) AS rider_accepted,
max(CASE WHEN situacion = 3 THEN created_at END) AS rider_at_restaurant,
max(CASE WHEN situacion = 4 THEN created_at END) AS food_picked_up,
max(CASE WHEN situacion = 5 THEN created_at END) AS rider_at_customer,
max(CASE WHEN situacion = 6 THEN created_at END) AS food_delivered,
max(CASE WHEN situacion = 10 THEN created_at END) AS unknown_status
FROM dwh.tracking_motero
GROUP BY 1
), assigned_riders AS (
WITH rider_assignments AS (
SELECT pedido_id, motero_id, created_at,
ROW_NUMBER() OVER (PARTITION BY pedido_id ORDER BY created_at DESC) AS rn
FROM dwh.motero_pedido
)
SELECT pedido_id, motero_id FROM rider_assignments WHERE rn = 1
)
SELECT
CASE
WHEN
(stf.status_id IN ('38','14','13','12','16','18') AND stf.date >= (p.fecha_prevista_entrega + interval '30 minutes'))
OR (stf.status_id IN ('38','14','13','12','16','18') AND stf.date < (os.rider_accepted + interval '5 minutes'))
THEN 'Not Paid - Cancelled'
WHEN
(stf.status_id IN ('38','14','13','12','16','18') AND stf.date <= (p.fecha_prevista_entrega + interval '30 minutes'))
OR (stf.status_id IN ('38','14','13','12','16','18') AND stf.date >= p.fecha_entrega_repartidor)
THEN 'Paid - Cancelled'
WHEN
(
(u.first_name ILIKE '%LKF%' AND extract(epoch from os.food_delivered - p.fecha_prevista_entrega) > 900)
OR (u.first_name NOT ILIKE '%LKF%' AND extract(epoch from os.food_delivered - p.fecha_prevista_entrega) > 1800)
)
AND (
(od.preorder = '0' AND od.order_comment ILIKE '%' || u.first_name || '%'
AND extract(epoch from os.rider_assigned - od.date) < 900)
OR
(od.preorder = '0' AND od.order_comment NOT ILIKE '%' || u.first_name || '%'
AND extract(epoch from os.rider_assigned - od.date) < 1200)
OR
(od.preorder = '1' AND extract(epoch from p.fecha_prevista_entrega - os.rider_assigned) > 1800)
OR
(extract(epoch from os.food_delivered - p.fecha_prevista_entrega) > 900)
OR
(extract(epoch from os.rider_at_restaurant - p.fecha_entrega_repartidor) > 180)
AND extract(epoch from os.food_picked_up - p.fecha_entrega_repartidor) < 900)
)
THEN 'Delay'
ELSE 'None' END AS payment_adj,
p.id AS urban_ninja_id,
o.order_fp_code AS order_code,
p.total AS order_amount,
p.paymenttype_name,
u.first_name AS rider_code,
p.direccion AS delivery_address,
p.fecha_entrega_repartidor AS expected_pick_up_time,
p.fecha_prevista_entrega AS expected_delivery_time,
od.date AS order_creation_date,
os.rider_assigned,
os.rider_viewed,
os.rider_accepted,
os.rider_at_restaurant,
os.food_picked_up,
os.rider_at_customer,
os.food_delivered,
os.unknown_status,
st.id AS status_id,
st.code AS status_code,
st.title AS status,
ve.title AS vendor,
to_date(os.rider_assigned - od.date, 'HH24:MI:SS') AS dispatching_time,
to_date(os.rider_viewed - os.rider_assigned, 'HH24:MI:SS') AS rider_reaction_time,
to_date(os.rider_accepted - os.rider_viewed, 'HH24:MI:SS') AS rider_acceptance_time,
to_date(os.rider_at_restaurant - os.rider_accepted, 'HH24:MI:SS') AS rider_driving_to_restaurant_time,
to_date(os.food_picked_up - os.rider_at_restaurant, 'HH24:MI:SS') AS rider_in_restaurant_time,
to_date(os.rider_at_customer - os.food_picked_up, 'HH24:MI:SS') AS rider_driving_to_customer_time,
to_date(os.food_delivered - os.rider_at_customer, 'HH24:MI:SS') AS rider_at_customer_time,
to_date(os.food_delivered - od.date, 'HH24:MI:SS') AS delivery_time,
od.order_comment,
od.preorder
FROM dwh.pedido p
LEFT JOIN dwh.order_fp o ON p.id = o.pedido_id
LEFT JOIN order_steps os ON os.pedido_id = p.id
LEFT JOIN assigned_riders r ON r.pedido_id = p.id
LEFT JOIN dwh.moteros m ON m.id = r.motero_id
LEFT JOIN dwh.sf_guard_user u ON u.id = m.sf_guard_user_id
JOIN dwh."Orders" od ON od.id = o.order_fp_id
JOIN dwh."Status" st ON st.id = od.status_id
JOIN dwh."Statusflows" stf ON stf.order_id = od.id
JOIN dwh."Vendors" ve ON od.vendor_id = ve.id
WHERE u.first_name NOT IN ('TEST RIDER','Jan')
AND os.rider_accepted BETWEEN (current_date-30) AND (current_date-1)
GROUP BY p.id, stf.status_id, stf.date, os.rider_accepted, u.first_name, os.food_delivered, od.preorder,
od.order_comment, os.rider_assigned, od.date, os.food_picked_up, os.rider_at_restaurant,
o.order_fp_code, os.rider_viewed, os.rider_at_customer, os.unknown_status, st.id, ve.title
LIMIT 100;
同时查看extract()混乱的“快捷方式”：extract (epoch from time2 - time1)给出间隔中的秒数。在CASE子句中，我将您的分钟转换为秒，在选择列表中，我使用to_date()函数来获得良好的显示。
同时检查您的数据类型，您似乎隐含地将integer值转换为字符串，如stf.status_id和od.preorder。