Comments (2)
@netchose First of all, the query that you raised looks unusual. Which means selecting 10000 columns.
print(f'select {" 1,"*10000}'[:-1])
=> select 1, 1, 1, 1, 1, 1, .....(x 10000)
ClickHouse, as per my understanding, may also not provide support due to the excessive number of columns involved.
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a more representative example which better corresponds to my use case which consists of choosing individuals from a population :
print(f"select 1 where 1 in ({','.join([str(x) for x in range(1,10000)])})")
In the database the request is executed in less than 2 second but in Superset, in chart view or in sqllab more than 4 minutes
my intuition tells me that this is a parameter that is not optimal in the postgres database used by Superset internally.
I'll try to look at this on my own
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