sum

with t  as
(

select 'India' as country ,'A' as Product, 100 as Price from dual union all
select 'India' as country ,'A' as Product, 200 as Price from dual union all
select 'India' as country ,'A' as Product, 300 as Price from dual union all
select 'India' as country ,'B' as Product, 400 as Price from dual union all
select 'India' as country ,'B' as Product, 500 as Price from dual union all
select 'India' as country ,'B' as Product, 200 as Price from dual union all

select 'Free_Tibet' as country ,'A' as Product, 10 as Price from dual union all
select 'Free_Tibet' as country ,'A' as Product, 20 as Price from dual union all
select 'Free_Tibet' as country ,'A' as Product, 30 as Price from dual union all
select 'Free_Tibet' as country ,'B' as Product, 40 as Price from dual union all
select 'Free_Tibet' as country ,'B' as Product, 50 as Price from dual union all
select 'Free_Tibet' as country ,'B' as Product, 10 as Price from dual 



)


select country,product,sum(price) from t group by country,product
1. How can I get the sum using analytical fuction?
2.i want to get the sum of prices
(a) country - wise
(b) product wise
(c) grand total country wise
(d) total product wise.

Hello

Rahul India wrote:

sum(sum(price))

It is taken out of context and is incomplete.
A complete expression is

 SUM (SUM (price)) OVER (PARTITION BY  country)

It makes much more sense, if you look at the complete expression.

Why did you use sum function twice.
When to use the amount once it throws an error

That's why I used it twice.

The internal SUM is the SUM of aggregarte. The cost of all rows in the table are added in the same group, where the group is defined by the GROUP BY clause from the table.

The outer SUM is the analytical SUM function, as indicated by the keyword on immediately after the argument. We add all the totals of all lines of results in the same partition, where the partition is defined by the analytical PARTITION BY clause.

In fact, you can use MONEY only once. In fact, that's what I did first, when I said

SUM (price)          AS sum_price

Once more, the keword MORE and the analytical clause that comes after it are part of the analytic function SUM. If you do not use the outer SUM, all, inckuding cannot use the keyword above and the analytical clause.

Tags: Database

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    $88.00

    $0.00

    $88.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

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    $275.00

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    $275.00

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    $275.00

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    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $85.70

    $0.00

    $85.70

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $525.00

    $525.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $375.00

    $375.00

    $0.00

    $0.00

    $410.00

    $325.00

    $85.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $300.00

    $300.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $400.00

    $400.00

    $0.00

    $0.00

    $420.00

    $420.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $280.00

    $280.00

    $0.00

    $0.00

    $275.00

    $275.00

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    $275.00

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    $0.00

    $0.00

    $400.00

    $400.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $355,00

    $275.00

    $80.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $300.00

    $300.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $300.00

    $300.00

    $0.00

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    $300.00

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    $275.00

    $275.00

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    $275.00

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    $275.00

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    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $300.00

    $300.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $93.00

    $0.00

    $93.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $275.00

    $275.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $50.00

    $50.00

    $0.00

    $0.00

    $500.00

    $500.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $300.00

    $215,40

    $84,60

    $0.00

    $500.00

    $500.00

    $0.00

    $0.00

    $500.00

    $500.00

    $0.00

    $0.00

    $550.00

    $550.00

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    $550.00

    $550.00

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    $240.00

    $145.00

    $95.00

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    $550.00

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    $450.00

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    $280.00

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    $275.00

    $275.00

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    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $112.00

    $0.00

    $112.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $108.00

    $0.00

    $108.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

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    $550.00

    $550.00

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    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $102,00

    $0.00

    $102,00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $134.00

    $0.00

    $134.00

    $0.00

    $200.00

    $200.00

    $0.00

    $0.00

    $350.00

    $350.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $100.00

    $100.00

    $0.00

    $0.00

    $450.00

    $450.00

    $0.00

    $0.00

    $550.00

    $550.00

    $0.00

    $0.00

    $44282,70

    $42565,40

    $1167,30

    $550.00

    I the sum vertically downwards, but when I do my check is not. I guess to get $0 corresponding to the sum of $550.

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    Is it possible to do this by the numbers?

    You can create a separate table to collect data from each sheet, then add cells in the summary table.

    In this example, I reproduced a sheet with a table (table 1 of the name) and named "Sheet 1" leaves, "leaf 2" and "worksheet 3". "."  The value in cell B1 of each table is 1, 2, 3

    Sheet 1:; Table 1: B1 contains 1

    Sheet 2:; Table 1: B1 contains 2

    Sheet 3:; Table 1: B1 contains 3

    Can be summarized in a table like this.  I added another sheet (named summary):

    The first line is a heading row and the last line is a line of footer

    Enter the number of table as shown in column A.

    B2 = INDIRECT ("worksheet" & A2 & ": table 1::B1")

    It's shorthand dethrone select cell B2 and type (or copy and paste it here) the formula:

    = INDIRECT("Sheet"&A2&"::Table 1::B1")

    Select cell B2, copy

    Select the cells B2 at the end of column B (or), paste

    Add lines when you add new leaves

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