How to convert negative values to zero in a calculated column?
we have inner join of multiple tables where a column is a calculated column taken from tables,i need to convert negative values present in the column to zero, how can i do?
what was tried..
i tried with 'case' condition but its not working.
part of code where i intend to change is similar to like this
(isnull((select isnull(sum(AVAILPHYSICAL),0) from ax.inventsum
where ITEMID = ax.INVENTTABLE.ITEMID ))-
(select isnull(sum(QTY*-1),0) from ax.RETAILTRANSACTIONSALESTRANS RTST inner join ax.RETAILTRANSACTIONTABLE RTT
on RTT.TRANSACTIONID = RTST.TRANSACTIONID
where ITEMID=ax.INVENTTABLE.ITEMID and (RTT.ENTRYSTATUS = 0 OR RTT.ENTRYSTATUS = 2) and
(RTST.TRANSACTIONSTATUS = 0 or
RTST.TRANSACTIONSTATUS = 2 ) and
As Quantity,
Related
Im relatively new and would like to redenominate some values in my current database. This means going into my jasonb column in my database, selecting a key value and dividing it by a 1000. I know how to select values but update after I have performed a calculation has failed me. My table name is property_calculation and has two columns as follows: * dynamic_fields is my jasonb column
ID
dynamic_fields
1
{"totalBaseValue": 4198571.230720645844841865113039602874778211116790771484375,"surfaceAreaValue": 18.108285497586717127660449477843940258026123046875,"assessedAnnualValue": 1801819.534798908603936834409607936611000776616631213755681528709828853607177734375}
2
{"totalBaseValue": 7406547.28939837918763178237213651300407946109771728515625,"surfaceAreaValue": 31.94416993248973568597648409195244312286376953125,"assessedAnnualValue": 9121964.022681592442116216621222042691512210677018401838722638785839080810546875}
I would like to update the dynamic_fields.totalBaseValue by dividing it by 1000 and committing it back as the new value. I have tried the following with no success:
update property_calculation
set dynamic_fields = (
select jsonb_agg(case
when jsonb_typeof(elem -> 'totalBaseValue') = 'number'
then jsonb_set(elem, array['totalBaseValue'], to_jsonb((elem ->> 'totalBaseValue')::numeric / 1000))
else elem
end)
from jsonb_array_elements(dynamic_fields::jsonb) elem)::json;
I get the following error:
ERROR: cannot extract elements from an object
SQL state: 22023
My json column has no zero string or null values.
Move the jsonb_typeof() check into the where clause:
update property_calculation
set dynamic_fields =
jsonb_set(
dynamic_fields,
'{totalBaseValue}',
to_jsonb((dynamic_fields->>'totalBaseValue')::numeric / 1000)
)
where jsonb_typeof(dynamic_fields->'totalBaseValue') = 'number';
db<>fiddle here
I am trying to map a certain value of a column based on its count on another table. If the count of [Location] i.e a column of IMPORT.DATA_SCRAP table in each row. For now for location static value i.e Utah and Kathmandu is supplied for test purpose only is equal to 1, then only i need to get the result in the select statement i.e only single value expression must be returned but here n rows of table with value is returned.
For. eg. In the below query,total rows of IMPORT.DATA_SCRAP gets returned, i only need the single first row value in my case.
I came to know whether cursor or CTE will acheive my result but i am unable to figure it out.
Here,
select
case
when
((SELECT COUNT(stateName) FROM Location.tblState where stateName = 'Utah')=1)
then (select stateName, CountryName from Location.tblState where stateName= 'Utah')
end as nameof
from IMPORT.DATA_SCRAP
The relation between country, state, city is as below:
select
case
when
((SELECT COUNT(cityName) FROM Location.tblCity where cityName = 'Kathmandu')=1)
then (select ct.countryName from Location.tblCity c
inner join Location.tblState s
on c.stateID = s.StateID
inner join Location.tblCountry ct
on ct.countryId = s.CountryId
where c.cityName = 'Kathmandu'
)
end as nameof
from IMPORT.DATA_SCRAP
How can i return only a single value expresion despite of multiple nmax rows of IMPORT.DATA_SCRAP row in the result.
If i comment out the -- from IMPORT.DATA_SCRAP in the above query i would get the desired single result expression in my case, but unable how can i acheive it in other ways or suggest me the appropriate way to do these types of situation.
I have a table (ShipJourneys) where I need to calculate the Total Fuel Consumed which is a float value. See the image below.
This value is obtained by summing all the individual consumers of fuel for a given vessel over the timeframe specified. This data is contained in a second table.
Boxed in area in red shows there were 5 fuel consumers (specified by the FK_RmaDataSumsystemConfigID) and that 3 of the consumers had burned 0 units of fuel and 2 had each burned 29.
To calculate the totalFuelConsumed for that range of time frames, for a given vessel (stipulated by the FK_RmaID), the following query could be used
Select sum(FuelCalc)
from FuelCalc
where Timestamp >= '2019-07-24 00:00:00'
and Timestamp <= '2019-07-24 00:02:00'
and FK_RmaID = 660
Using something like the query below does not work, resulting in bogus values
UPDATE ShipJourneys
SET TotalFuelConsumed =
(Select sum(FuelCalc) from FuelCalc as f
WHERE f.timestamp >= StartTimeUTC
and f.timestamp <= EndTimeUTC
and f.FK_RmaID = FK_RmaID)
Any suggestions on how I could join them
You could try something like that:
UPDATE myTable // Put the table correct name here
SET TotalFuelConsumed =
Select sum(FuelUsed) from FuelTimeTbl as fuelTbl
WHERE fuelTbl.timestamp >= '2019-10-21 22:13:55.000'
and fuelTbl.imestamp <= '2019-11-27 17:10:58.000'
and fuelTbl.FK_RmaID = myTable.RmaID // Put the correct attribute name
I'm using the following query to sum the entire column. In the TOREMOVEALLPRIV column, I have both integer and null values.
I want to sum both null and integer values and print the total sum value.
Here is my query which print the sum values as null:
select
sum(URT.PRODSYS) as URT_SUM_PRODSYS,
sum(URT.Users) as URT_SUM_USERS,
sum(URT.total_orphaned) as URT_SUM_TOTAL_ORPHANED,
sum(URT.Bp_errors) as URT_SUM_BP_ERRORS,
sum(URT.Ma_errors) as URT_SUM_MA_ERRORS,
sum(URT.Pp_errors) as URT_SUM_PP_ERRORS,
sum(URT.REQUIREURTCBN) as URT_SUM_CBNREQ,
sum(URT.REQUIREURTQEV) as URT_SUM_QEVREQ,
sum(URT.REQUIREURTPRIV) as URT_SUM_PRIVREQ,
sum(URT.cbnperf) as URT_SUM_CBNPERF,
sum(URT.qevperf) as URT_SUM_QEVPERF,
sum(URT.privperf) as URT_SUM_PRIVPERF,
sum(URT.TO_REMOVEALLPRIV) as TO_REMOVEALLPRIV_SUM
from
URTCUSTSTATUS URT
inner join CUSTOMER C on URT.customer_id=C.customer_id;
Output image:
Expected Output:
Instead of null, I need to print sum of rows whichever have integers.
The SUM function automatically handles that for you. You said the column had a mix of NULL and numbers; the SUM automatically ignores the NULL values and correctly returns the sum of the numbers. You can read it on IBM Knowledge Center:
The function is applied to the set of values derived from the argument values by the elimination of null values.
Note: All aggregate functions ignore NULL values except the COUNT function. Example: if you have two records with values 5 and NULL, the SUM and AVG functions will both return 5, but the COUNT function will return 2.
However, it seems that you misunderstood why you're getting NULL as a result. It's not because the column contains null values, it's because there are no records selected. That's the only case when the SUM function returns NULL. If you want to return zero in this case, you can use the COALESCE or IFNULL function. Both are the same for this scenario:
COALESCE(sum(URT.TO_REMOVEALLPRIV), 0) as TO_REMOVEALLPRIV_SUM
or
IFNULL(sum(URT.TO_REMOVEALLPRIV), 0) as TO_REMOVEALLPRIV_SUM
I'm guessing that you want to do the same to all other columns in your query, so I'm not sure why you only complained about the TO_REMOVEALLPRIV column.
What you're looking for is the COALESCE function:
select
sum(URT.PRODSYS) as URT_SUM_PRODSYS,
sum(URT.Users) as URT_SUM_USERS,
sum(URT.total_orphaned) as URT_SUM_TOTAL_ORPHANED,
sum(URT.Bp_errors) as URT_SUM_BP_ERRORS,
sum(URT.Ma_errors) as URT_SUM_MA_ERRORS,
sum(URT.Pp_errors) as URT_SUM_PP_ERRORS,
sum(URT.REQUIREURTCBN) as URT_SUM_CBNREQ,
sum(URT.REQUIREURTQEV) as URT_SUM_QEVREQ,
sum(URT.REQUIREURTPRIV) as URT_SUM_PRIVREQ,
sum(URT.cbnperf) as URT_SUM_CBNPERF,
sum(URT.qevperf) as URT_SUM_QEVPERF,
sum(URT.privperf) as URT_SUM_PRIVPERF,
sum(COALESCE(URT.TO_REMOVEALLPRIV,0)) as TO_REMOVEALLPRIV_SUM
from
URTCUSTSTATUS URT
inner join CUSTOMER C on URT.customer_id=C.customer_id;
I'm trying to decipher another programmer's code who is long-gone, and I came across a select statement in a stored procedure that looks like this (simplified) example:
SELECT #Table2.Col1, Table2.Col2, Table2.Col3, MysteryColumn = CASE WHEN y.Col3 IS NOT NULL THEN #Table2.MysteryColumn - y.Col3 ELSE #Table2.MysteryColumn END
INTO #Table1
FROM #Table2
LEFT OUTER JOIN (
SELECT Table3.Col1, Table3.Col2, Col3 = SUM(#Table3.Col3)
FROM Table3
INNER JOIN #Table4 ON Table4.Col1 = Table3.Col1 AND Table4.Col2 = Table3.Col2
GROUP BY Table3.Col1, Table3.Col2
) AS y ON #Table2.Col1 = y.Col1 AND #Table2.Col2 = y.Col2
WHERE #Table2.Col2 < #EnteredValue
My question, what does the fourth column of the primary selection do? does it produce a boolean value checking to see if the values are equal? or does it set the #Table2.MysteryColumn equal to some value and then inserts it into #Table1? Or does it just update the #Table2.MysteryColumn and not output a value into #Table1?
This same thing seems to happen inside of the sub-query on the third column, and I am equally at a loss as to what that does as well.
MysteryColumn = gives the expression a name also called a column alias. The fact that a column in the table#2 also has the same name is besides the point.
Since it uses INTO syntax it also gives the column its name in the resulting temporary table. See the SELECT CLAUSE and note | column_alias = expression and the INTO CLAUSE