Is it possible to use the SELECT INTO clause with UNION
When combining multiple queries using UNION [ALL], you can definitely output the result into a new table employing SELECT INTO. The crucial foundation here is to guarantee uniform column structures across all participating queries. The example below demonstrates this:
Always match column data types to escape any potential errors. This command rapidly forms NewTable that consolidates data from Table1 and Table2.
Stepping Up the UNION [ALL] Game with SELECT INTO
As you refine your prowess with SELECT INTO in tandem with UNION ALL, it's crucial to thoroughly understand the following facets:
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You can limit the total number of records acquired from each table by implementing the
TOP(n)clause. This is particularly useful when juggling large datasets: -
Giving aliases to your subqueries can significantly boost the clarity of your complex queries, making it easier for others (or future self) to decipher.
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Always test your
UNION ALLqueries on a smaller subsample prior to deploying it on a large scale. This can save you from lengthy debugging sessions. -
Upon utilizing
SELECT INTO, don't forget to create necessary indexes on the newly created table aiding in faster query executions. -
Be mindful that
UNIONomits any duplicates, butUNION ALLincludes all occurrences. Accordingly, design your queries considering the duplication probability.
Maintaining All-round Accuracy in UNION operations
In order to achieve flawless executions of your SELECT INTO with UNION ALL, here are some best practices:
Matching column order and data structure
Ensure every SELECT statement upholds the same order of columns and the data types across each column are compatible.
Gauging performance trade-offs
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UNIONvsUNION ALL: Taxed with removing duplicates,UNIONcould be slower thanUNION ALL. If no qualms about duplicates, opt forUNION ALLfor a performance boost. -
Temporary tables: Stashing intermediate outputs in temporary tables can be handy if your results become substantially large.
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INSERT INTOvsSELECT INTO: If your destination table exists already,INSERT INTOcan be utilized instead ofSELECT INTO:
Iterative testing: your new best friend
Embrace the power of gradual testing. Always commence with a small set and then scale up. An error identified early on is an error half solved!
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