SQL - Calculating cell-value based on other cell-values - sql

Question

So I have run into a problem when working on some SQL coding.
I have a data table that looks somewhat like this:
ID TimeID IndicatorID Score
1 111 45 20
1 111 46 14
1 111 47 83
1 111 48 91
1 112 45 20
1 112 46 14
1 112 47 83
1 112 48 91
2 111 45 25
2 111 46 12
2 111 47 70
2 111 48 82
2 112 45 25
2 112 46 12
2 112 47 70
2 112 48 82
I want to add new rows containing values for indicator 240 and 241 where the score for indicator 240 is the score for indicator 45 / score for indicator 46 and similarly the score for indicator 241 is the score for indicator 47/ score for indicator 48. This has to be done for each TimeID for each ID.
The full table is huge as the number of IDs, TimeIDs for each ID, and IndicatorIDs for each TimeID is large.

Answer 1

Assuming your requirements are as stated, and all the IndicatorID values are hard-coded this can be done with some simply sub-queries and a straightforward INSERT statement:
insert into your_table
with yt as (
select * from your_table where IndicatorID in (45,46,47,48)
)
, yt45 as (select * from yt where IndicatorID = 45 )
, yt46 as (select * from yt where IndicatorID = 46 )
, yt47 as (select * from yt where IndicatorID = 47 )
, yt48 as (select * from yt where IndicatorID = 48 )
select yt45.id
, yt45.timeID
, 240 as IndicatorID
, yt45.score/yt46.score as score
from yt45
join yt46
on yt45.id = yt46.id
and yt45.timeID = yt46.timeID
union all
select yt47.id
, yt47.timeID
, 240 as IndicatorID
, yt47.score/yt48.score as score
from yt47
join yt48
on yt47.id = yt48.id
and yt47.timeID = yt48.timeID
/

Answer 2

This can be easily solved using MODEL clause.
SQL Fiddle
select id, timeid, indicatorid, score
from myt
model return updated rows
partition by (id, timeid)
dimension by (indicatorid)
measures(score)
rules(
score[240] = score[45]/score[46],
score[241] = score[47]/score[48]
);
Results:
| ID | TIMEID | INDICATORID | SCORE |
|----|--------|-------------|--------------------|
| 2 | 111 | 241 | 0.8536585365853658 |
| 2 | 111 | 240 | 2.0833333333333335 |
| 1 | 112 | 241 | 0.9120879120879121 |
| 1 | 112 | 240 | 1.4285714285714286 |
| 2 | 112 | 241 | 0.8536585365853658 |
| 2 | 112 | 240 | 2.0833333333333335 |
| 1 | 111 | 241 | 0.9120879120879121 |
| 1 | 111 | 240 | 1.4285714285714286 |
insert into myt
select id, timeid, indicatorid, score
from myt
model return updated rows
partition by (id, timeid)
dimension by (indicatorid)
measures(score)
rules(
score[240] = score[45]/score[46],
score[241] = score[47]/score[48]
);
Results:
select id, timeid, indicatorid, score
from myt
Results:
| ID | TIMEID | INDICATORID | SCORE |
|----|--------|-------------|--------------------|
| 1 | 111 | 45 | 20 |
| 1 | 111 | 46 | 14 |
| 1 | 111 | 47 | 83 |
| 1 | 111 | 48 | 91 |
| 1 | 111 | 240 | 1.4285714285714286 |
| 1 | 111 | 241 | 0.9120879120879121 |
| 1 | 112 | 45 | 20 |
| 1 | 112 | 46 | 14 |
| 1 | 112 | 47 | 83 |
| 1 | 112 | 48 | 91 |
| 1 | 112 | 240 | 1.4285714285714286 |
| 1 | 112 | 241 | 0.9120879120879121 |
| 2 | 111 | 45 | 25 |
| 2 | 111 | 46 | 12 |
| 2 | 111 | 47 | 70 |
| 2 | 111 | 48 | 82 |
| 2 | 111 | 240 | 2.0833333333333335 |
| 2 | 111 | 241 | 0.8536585365853658 |
| 2 | 112 | 45 | 25 |
| 2 | 112 | 46 | 12 |
| 2 | 112 | 47 | 70 |
| 2 | 112 | 48 | 82 |
| 2 | 112 | 240 | 2.0833333333333335 |
| 2 | 112 | 241 | 0.8536585365853658 |