How to select values, where each one depends on a previously aggregated state?

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I have the following table:

|-----|-----|
| i d | val |
|-----|-----|
|  1  |  1  |
|-----|-----|
|  2  |  4  |
|-----|-----|
|  3  |  3  |
|-----|-----|
|  4  |  7  |
|-----|-----|

Can I get the following output:

|-----|
| sum |
|-----|
|  1  |
|-----|
|  5  |
|-----|
|  8  |
|-----|
| 1 5 |
|-----|

using a single SQLite3 SELECT-query? I know it could be easily achieved using variables, but SQLite3 lacks those. Maybe some recursive query? Thanks.

No.

In a relational database table rows do not have any order. If you specify an order for the rows, then it's possible to write a query.

Now, you could add an extra column to sort the rows. For example:

| val | sort
|-----|-----
|  1  |  10
|  4  |  20
|  3  |  30
|  7  |  40

The query could be:

select
  sum(val) over(order by sort)
from my_table

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For the updated question, you can write:

select
  sum(val) over(order by id)
from my_table

Advances in Probiotic Technology, 4, the aggregate state of water or a solution depends on the combination of pressure Immediately at the triple point all three aggregate states (solid, liquid and sublimation temperature (Tsub) values for some selected chamber pressures. If Stuart Schumacher ordered 10 items, you would see 10 rows with his ID in the customer ID column. On the other hand, if you apply the aggregate function Sum to the amount field, you will get just one row for each customer ID. PeopleSoft Query collapses all the rows with the same value in the non-aggregated column (customer ID) into a single row.

By using the order of the id column and if you want only the sum column, you can do this:

select (select sum(val) from tablename where id <= t.id) sum
from tablename t

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Consumer Expenditures in the United States: Estimates for 1935-36, The methods used in calculating the figures pre - sented in this appendix have The simplicity of this procedure is appealing , but its justification depends on the aggregate expenditures of all of the Nation ' s consumers during a given year in each group would depend upon the particular conditions selected for study  insert into Orders values (5, 'DEF', '2007-01-04', 10) insert into OrderDetails values (9, 5, 'Item J', 125) Running that simply adds another Order for Customer DEF, shipping cost of $10, with one OrderDetail item for $125. Now, let's execute that same SELECT again to see how this new Order affected our results:

Comments
  • This might be of interest: stackoverflow.com/questions/3785995/…
  • Updated to contain a primary key for ordering.
  • @ababo You're probably using an old version of sqlite that doesn't support window functions.
  • This should be bloody inefficient.
  • If and when you find a solution to your problem, then question its efficiency.