I have a table that looks like this:
| Scenario| Date | System | Result |
| ------- | ------ | ------ | ------ |
| Proj1 | 07-01 | A | PASS |
| Proj1 | 07-01 | B | PASS |
| Proj1 | 07-01 | C | PASS |
| Proj1 | 07-01 | D | PASS |
| Proj1 | 07-02 | A | FAIL |
| Proj1 | 07-02 | B | FAIL |
| Proj1 | 07-02 | C | FAIL |
| Proj1 | 07-02 | D | FAIL |
| Proj2 | 07-01 | E | PASS |
| Proj2 | 07-01 | F | FAIL |
| Proj2 | 07-02 | E | PASS |
| Proj2 | 07-02 | F | PASS |
I rearranged it to this:
| Project | Date | System1 | System2 | System3 | System4| Overall|
| ------- | ---- | ------- | ------- | ------- | -------|--------|
| Proj1 | 07-01| A-PASS | B-PASS | C-PASS | D-PASS |PASS |
| Proj1 | 07-02| A-FAIL | B-FAIL | C-FAIL | D-FAIL |FAIL |
| Proj2 | 07-01| E-PASS | F-FAIL | | |FAIL |
| Proj2 | 07-02| E-PASS | F-PASS | | |PASS |
I wanted to create a graph based on the above table that contains this data
|Date |# of Passes|# of Fails|
|------|-----------|----------|
|07-01 | 1 | 1 |
|07-02 | 1 | 1 |
CodePudding user response:
You may find the count of all systems for a specific (Date,Scenario) by using Count(*) over (Partition By Scenario,Date)
, and the count of only passed systems for that (Date,Scenario) by using Aggregate Filter
as the following, count(*) filter (where Result='PASS') over (Partition By Scenario,Date)
.
Then compare the two counts, if they are equal then set the overall result as PASS
.
Consider the following:
Create Or Replace Function pvt()
RETURNS void
LANGUAGE 'plpgsql'
As $body$
declare
sqlColumn varchar;
qr varchar;
columnlist varchar;
Begin
sqlColumn= 'select distinct D.sys_cat from (select Row_Number() Over (Partition By Scenario,Date Order By System) as sys_cat From run) D order by D.sys_cat;';
qr='prepare pvtstmt AS Select D.Scenario,D.Date,';
For columnlist In EXECUTE sqlColumn
Loop
qr=qr || 'Max(Case When sys_cat=' || columnlist || ' Then (System || ''_'' || Result) Else '''' End) As System' || columnlist || ' , ';
END LOOP;
--qr=substr(qr, 0, length(qr) - 1);
qr=qr|| 'case when D.tc= D.pc then ''PASS'' else ''FAIL'' end as overall ';
qr=qr || 'From (select *, Count(*) over (Partition By Scenario,Date) tc,'||
' count(*) filter (where Result=''PASS'') over (Partition By Scenario,Date) pc,'||
' Row_Number() Over (Partition By Scenario,Date Order By System) as sys_cat From run) D Where D.Scenario ='
|| '''Proj1'' Group By D.Scenario,D.Date,overall Order By D.Scenario,D.Date';
Deallocate All;
EXECUTE qr;
End;
$body$
See a demo from db<>fiddle.
For the second required output, you may use the following function:
Create Or Replace Function pvt(qr_selector int, Scenario_selector varchar default 'all')
RETURNS void
LANGUAGE plpgsql AS
$body$
declare
sqlColumn varchar;
qr varchar; qr2 varchar;
columnlist varchar;
Begin
sqlColumn= 'select distinct D.sys_cat from (select Row_Number() Over (Partition By Scenario,Date Order By System) as sys_cat From run) D order by D.sys_cat;';
qr='Select D.Scenario,D.Date,';
For columnlist In EXECUTE sqlColumn
Loop
qr=qr || 'Max(Case When sys_cat=' || columnlist || ' Then (System || ''_'' || Result) Else '''' End) As System' || columnlist || ' , ';
END LOOP;
--qr=substr(qr, 0, length(qr) - 1);
qr=qr|| 'case when D.tc= D.pc then ''PASS'' else ''FAIL'' end as overall ';
qr=qr || 'From (select *, Count(*) over (Partition By Scenario,Date) tc,'||
' count(*) filter (where Result=''PASS'') over (Partition By Scenario,Date) pc,'||
' Row_Number() Over (Partition By Scenario,Date Order By System) as sys_cat From run) D ';
if Scenario_selector='all' then
qr=qr || ' Group By D.Scenario,D.Date,overall Order By D.Scenario,D.Date';
else
qr=qr || 'Where D.Scenario =''' || Scenario_selector || ''' Group By D.Scenario,D.Date,overall Order By D.Scenario,D.Date';
end if;
qr2='with cte as (' || qr || ') Select date, count(*) filter (where overall=''PASS'') as Num_Of_Passes,' ||
'count(*) filter (where overall=''FAIL'') as Num_Of_Fails ' ||
'from cte group by date;';
Deallocate All;
if qr_selector = 1 then
EXECUTE 'prepare pvtstmt AS ' || qr;
else
EXECUTE 'prepare pvtstmt AS ' || qr2;
end if;
End;
$body$
The first parameter in the function qr_selector
lets you to choose what query to execute, 1 for the first output, 2 for the second output. The second parameter Scenario_selector
lets you to filter the Scenario
values, where the default value is 'all'.
i.e. to select the first output result for all Scenario
values use Select pvt(1);
, and to select the second output result for Scenario = 'Proj1'
use Select pvt(2,'Proj1');
See a demo from db<>fiddle.