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Scenario 1
Table1:
LOAD *
CUSTOMERID,
NAME
FROM ....
Table2:
LOAD *
CUSTOMERID,
Address
FROM ....
Scenario: 2
Table1:
LOAD *
CUSTOMERID,
NAME
FROM ....
Left join ([Table1])
LOAD *
CUSTOMERID,
Address
FROM ....
Question: Between the two scenarios, which will yield faster results when filtering on the front end?
Note:
1)The above is just an illustrative example. However, the model I am working with has a lot of columns and rows in multiple fragments of the script.
2) The load time is definitely faster in the 1st case, as its an independent load. However, I want to confirm if the 1st will take more time to load results on dimension intensive charts (such as Sankey, network map etc) as the data between the columns is associated but is not in the same table.
Please let me know in case you need any additional information
Single table always works faster.
Single table always works faster.
Thanks a lot 🙂