Can you query a temp table?

Can you query a temp table?

Temporary tables are very similar to permanent tables. Permanent tables get created in the database you specify and remain in the database permanently until you delete or drop them. You can then execute your queries on that temporary table. Temporary tables are stored inside “tempdb” which is a system database.

Where are temp tables stored in Snowflake?

The temporary table in Snowflake is visible only within the current session. Temporary tables only exist within the session in which they were created and persist only for the remainder of the session.

Is it possible to insert into a temporary table?

Is that possible to do the below INSERT INTO a temporary table the intermediate result and then apply OR operator Tried your approach but still same time taken by query. Client requirement to list all client where its null or match with data. as far as I can see your value AdChar_page_number comes from

Why is there such big difference using table variables vs.temp tables?

But suprisingly just using #temp table instead of @temp variable made the execution slow again. I was suprised to see such differences using or not-using temp table/variable. Appearently SQL Server could not by itself optimize the insides of the OUTER APPLY clause. But why there is such a big difference using table variables vs. temp tables?

How many rows will come back from a table?

SQL Server estimates that 1-3 rows will come back from a table variable (depending on your version of SQL Server, cardinality estimator, trace flags, etc.) This in turn gives you a really bad execution plan because SQL Server underestimates how much work it’ll need from other tables, how much memory to set aside, etc.

What happens when you add a null condition to a query?

Adding the NULL condition removes that evaluation and a larger result set is processed further. This should be shown be the actual exectution plan. You should also be concerned that your query is taking 20 seconds to run as that is way too long. Is your database using a Case Sensitive Collation?