SQL中的pivot雪花表如何实现？

Question

I am trying to show revenue by products and month as a pivot style table. I have dates ranging back to 2020 but this is something I can filter on when selecting. Each month may have multiple revenue activity so I am looking for the sum of that entire month, ie show me entire revenue for month of April.

This is an example of information in the existing table

product	date_sold	revenue
software	2021-11-13	$ 1000
hardware	2022-02-17	$ 570
labor	2020-04-30	$ 472
hardware	2020-04-15	$ 2350

I'm not very experienced in sql, but I tried google searching and looking over stackoverflow and this is what I'm tinkering with. `

SELECT
    product,
    [1] AS Jan,
    [2] AS Feb,
    [3] AS Mar,
    [4] AS Apr,
    [5] AS May,
    [6] AS Jun,
    [7] AS Jul,
    [8] AS Aug,
    [9] AS Sep,
    [10] AS Oct,
    [11] AS Nov,
    [12] AS Dec
FROM
(Select 
product,
revenue,
date_trunc('month', date_sold) as month
  from
    fct_final_net_revenue) source
PIVOT
(   SUM(revenue)
    FOR month
    IN ( [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] )
) AS pvtMonth;

This is what I'd like the results to look like

product	Jan	Feb	Mar	Apr	May	Jun	July	Aug	Sep	Oct	Nov	Dec
Software	0	1200	1200	1200	0	0	0	0	0	150	175	300
Labor	0	0	150	2822	150	150	150	150	0	0	0	0
Hardware	0	0	0	0	0	0	0	75	75	75	75	75

Answer 1

Don't use column names such as month ; avoiding reserved words / key words, etc, makes code easier to read and avoids errors.

Then, use MONTH() to get the month without the year part. Don't truncate to a month, that keeps the year.

The pivot then needs to refer to the values in the column being pivotted. Using [1] implies a column name, however; '1' is a string and 1 is an integer.

Finally, you can alias the columns from the pivot.

SELECT
  pvt_month.*
FROM
(
  SELECT
    product,
    revenue,
    MONTH(date_sold)   AS month_sold
  FROM
    fct_final_net_revenue
)
  AS source
PIVOT
(
  SUM(revenue)
    FOR month_sold IN (
      1,2,3,4,5,6,7,8,9,10,11,12
    )
)
  AS pvt_month(
    product, jan, feb, mar, apr, may, jun, jul, aug, sep, oct, nov, dec
  )

https://docs.snowflake.com/en/sql-reference/constructs/pivot.html