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我正在嘗試使用Postgresql查詢創建RFM分析。但是,我還沒有完全完成新近度維度的查詢。 本文 「https://cooldata.wordpress.com/2014/03/25/an-all-sql-way-to-automate-rfm-scoring/」
該新近度維度的標準,啓發查詢爲2個月內使用Postgresql進行RFM分析
- 最後點菜= 5
- = 4
- 最後點菜內6 4個月內最後點菜個月= 3 8個月內
- 最後順序= 2 10個月
- 最後點菜= 1
以下是查詢我一直在試圖完成
WITH rfm AS
(SELECT email,
SUM((total_incl_tax)) AS cash,
MAX(decode(order_order.order_date, 2016-01-01, 5, 2016-02-01, 4, 2016-03-01, 3, 2016-04-01, 2, 201605-01, 1)) AS recency,
COUNT(DISTINCT(order_date)) AS frequency
FROM order_order
GROUP BY email)
SELECT rfm.email,
CASE
WHEN rfm.cash >= 2000000 THEN 5
WHEN rfm.cash > 1500000 THEN 4
WHEN rfm.cash > 1000000 THEN 3
WHEN rfm.cash > 500000 THEN 2
WHEN rfm.frequency > 4 THEN 5
WHEN rfm.frequency = 4 THEN 4
WHEN rfm.frequency = 3 THEN 3
WHEN rfm.frequency = 2 THEN 2
WHEN rfm.frequency = 1 THEN 1
else 1
END + rfm.frequency AS rfm_score
--+ Five_years.recency
FROM rfm
GROUP BY rfm.email, rfm.cash,rfm.frequency
ORDER BY rfm.email
錯誤是:
ERROR: function decode(timestamp with time zone, integer, integer, integer, integer, integer, integer, integer, integer, integer, integer) does not exist Hint: No function matches the given name and argument types. You might need to add explicit type casts. Position: 186
,我認爲錯誤是在這條線
MAX(decode(order_order.order_date, 2016-01-01, 5, 2016-02-01, 4, 2016-03-01, 3, 2016-04-01, 2, 2016-05-01, 1)) AS recency
是有沒有建議將錯誤行修改爲新近度維度的標準?謝謝
其中[在Postgres的手動](https://www.postgresql.org/docs/current/static/functions。 html)你有沒有找到'decode()'函數? –