Hi,
This is the case scenario:
when I run this search query:
index = "global" productID
I get the following result:
{ "productID" : "12",
"UserID" : "123_username",
"type" : "web_based"
}, ....
I get 100s of these result with various productID's. Either same productID or different productID but I get the result that has productID in the entire index = "global"
now the above query result have 2 key parameters that is of my interests. They are:
Now, I have 2 additional lookup table. They are:
now my goal is to have one table that contains all the data, and my end result table will result with these columns:
DepartmentName, ProductID, ProductName, UserID
----------------------------------------------------------------------------
Sales, 12, marketing, 123_username
Business, 12, marketing, 323_username
Business, 15, Online, 523_username
Note that the ProductID and Product name are always same. All we are doing is fetching the ProductID, corresponding ProductName matching the ProductID, and then matching the UserID == Username, and related DepartmentName for the UserID...
basically, I want to search all the ProductID along with its department name, product name, and userID
How do I create a query for such end result? Could someone please help me?
Start with your existing search and add a lookup command for each lookup file needed.
index = "global" productID
| lookup Employee_lookup UserID as username OUTPUT DepartmentName
| lookup Product_lookup ProductID OUTPUT ProductName
| table DepartmentName, ProductID, ProductName, UserID
thanks so much. It works! 🙂
one last thing... how would I now group by DepartmentName, ProductID and get the count of each of them...
basically I want to get the count of ProductID by DepartmentName
one department has multiple products, so group by DepartmentName, ProductID, count
The end result would be like this:
{ DepartmentName, ProductName, ProductID, count }
Use the stats command to get counts and/or group results.
index = "global" productID
| lookup Employee_lookup UserID as username OUTPUT DepartmentName
| lookup Product_lookup ProductID OUTPUT ProductName
| stats count by DepartmentName, ProductName
| table DepartmentName, ProductName, ProductID, count