Addition with Null Values

Addition with NULL values

If you want to add a and b and either may be null, you could use coalesce, which returns the first non-null parameter you pass it:

coalesce(a+b, a, b)

So in this case, if neither parameter is null, it will return the sum. If only b is null, it will skip a+b and return a. If a is null, it will skip a+b and a and return b, which will only be null if they are both null.

If you want the answer to be 0 rather than null if both a and b are null, you can pass 0 as the last parameter:

coalesce(a+b, a, b, 0)

Do consider @erwins answer - null might not be the right thing to be using.

SQL: sum 3 columns when one column has a null value?

If the column has a 0 value, you are fine, my guess is that you have a problem with a Null value, in that case you would need to use IsNull(Column, 0) to ensure it is always 0 at minimum.

SQL adding numbers while handling nulls

Use coalesce():

SELECT sum(coalesce(table1.foo, 0) + coalesce(table1.bar, 0)) AS Sum 
FROM table1
GROUP BY Fname;

If you want the total, total on one row, remove the group by:

SELECT sum(coalesce(table1.foo, 0) + coalesce(table1.bar, 0)) AS Sum 
FROM table1;

How to sum two columns containing null values in a dataframe in Spark/PySpark?

You need to use coalesce function like below

df = spark.createDataFrame(
[
("Stud1",None,2),
("Stud1",3,4),
("Stud1",1, None)], 
("col1","cnt_Test1", "cnt_Test2"))

# Import functions
import pyspark.sql.functions as f

df1 = df.withColumn("new_count", f.coalesce(f.col('cnt_Test1'), f.lit(0)) + f.coalesce(f.col('cnt_Test2'), f.lit(0)))

SQL Inner join with sum and null value

Oracle

The WITH clause is here just to generate sample data and, as such, it is not the part of the answer.

I don't know what is the expected result, but the Totals could be calculated using Union All (without Inner Join)

WITH
    tbl AS
        (
            Select 'AB1' "COL_1", Null  "COL_2", 10 "COL_3" From Dual Union All
            Select 'CD2' "COL_1", 'AB1' "COL_2", 15 "COL_3" From Dual Union All
            Select 'EF3' "COL_1", 'AB1' "COL_2", 14 "COL_3" From Dual 
        )
SELECT
    ID, Sum(TOTAL) "TOTAL"
FROM
    (
        SELECT COL_1 "ID", Sum(COL_3)  "TOTAL" FROM tbl GROUP BY COL_1 UNION ALL
        SELECT COL_2 "ID", Sum(COL_3)  "TOTAL" FROM tbl GROUP BY COL_2
    )
WHERE ID Is Not Null
GROUP BY ID
ORDER BY ID
--
--  R e s u l t
--  
ID       TOTAL
--- ----------
AB1         39 
CD2         15 
EF3         14

It is a Sum() Group By aggregation, but the same result gives Sum() analytic function with DISTINCT keyword.

SELECT DISTINCT
    ID, Sum(TOTAL) OVER(PARTITION BY ID ORDER BY ID) "TOTAL"
FROM
    (
        SELECT COL_1 "ID", Sum(COL_3)  "TOTAL" FROM tbl GROUP BY COL_1 UNION ALL
        SELECT COL_2 "ID", Sum(COL_3)  "TOTAL" FROM tbl GROUP BY COL_2
    )
WHERE ID Is Not Null
--
--  R e s u l t
--  
ID       TOTAL
--- ----------
AB1         39 
CD2         15 
EF3         14

And if you need Inner Join then the answer is below. Note that there is only ID which actually has children. That is because of the Inner Join. Regards...

SELECT 
    t1.COL_1 "ID", 
    Max(t1.COL_3) + Sum(t2.COL_3) "TOTAL"
FROM
    tbl t1
INNER JOIN
    tbl t2 ON (t2.COL_2 = t1.COL_1)
GROUP BY t1.COL_1
ORDER BY t1.COL_1
--
--  R e s u l t
--  
ID       TOTAL
--- ----------
AB1         39 

MySQL avoiding null values for sum operations?

try

SUM( IFNULL(jul,0)+IFNULL(ago,2) ) as sum from table

/* 
   obs: the SUM is good to sum multiple values
   IFNULL returns 0 to the sum if jul is null and 2 for ago if ago is null in the example.
*/

i think it works. :)

how to handle adding null values with eachother

So i found the solution for this on: Another exception was thrown: FormatException: Invalid number (at character 1)

I had to use try catch block:

try {
        firstNumber = int.parse(numOneController.text);
      } on FormatException {
        firstNumber = 0;
      }

This way i can handle the exception and on FormatException i can assign the number 0.

---

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