Splunk Search

Product of a Column

kalverra
Engager

I'm trying to find a simple way to calculate the product of a single column, e.g.

value_a
0.44
0.25
0.67

Ideally, I could use something like this:

| stats product(value_a)

 But this doesn't seem possible.

Labels (1)
0 Karma
1 Solution

kalverra
Engager

Thank you everyone that replied with helpful comments. I however discovered a math trick with logarithms to accomplish this far more succinctly.

| eval log_value = ln(value_a)
| stats sum(log_value) AS log_sum
| eval product = exp(log_sum)

View solution in original post

kalverra
Engager

Thank you everyone that replied with helpful comments. I however discovered a math trick with logarithms to accomplish this far more succinctly.

| eval log_value = ln(value_a)
| stats sum(log_value) AS log_sum
| eval product = exp(log_sum)

tscroggins
Influencer

Now you're Splunking! Watch out for approximation errors!

2 * 3 * 4 = 24
exp(ln(2) + ln(3) + ln(4)) ~= 23.999999999999993

0 Karma

yuanliu
SplunkTrust
SplunkTrust

Another approach is to (almost) use stats:-) as you original proposed.  With a little help of foreach.

 

| stats values(value_a) as value_a
| eval product = 1
| foreach value_a mode=multivalue
    [eval product = product * <<ITEM>>]

 

Here is an emulation you can play with and compare with real data:

 

| makeresults format=csv data="value_a
0.44
0.25
0.67"
``` data emulation above ```

 

The above search gives this result

value_a
product
0.25
0.44
0.67
0.074
Tags (1)
0 Karma

tscroggins
Influencer

I would use list() instead of values() to prevent removal of duplicates and wrap the product in exact() to prevent rounding errors:

| makeresults format=csv data="value_a
0.44
0.25
0.67
0.44" 
| stats list(value_a) as value_a
| eval "product(value_a)"=1
| foreach value_a mode=multivalue [ eval "product(value_a)"=exact('product(value_a)' * <<ITEM>>) ]
| table "product(value_a)"

 =>

product(value_a)
0.032428
0 Karma

ITWhisperer
SplunkTrust
SplunkTrust

Correct, you can't multiply down columns, but you can with rows, so depending on how many events and columns you want the product of, you could do something like this

| makeresults format=csv data="value_a,value_b,otherValue
0.44,1,10
0.25,2,20
0.67,3,30"
| appendpipe
    [| transpose 0
    | eval product = 1
    | foreach row*
        [eval product = product * '<<FIELD>>']
    | eval {column} = product
    | stats values(value_a) as value_a values(value_b) as value_b]
0 Karma
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