SELECT NR_DZIALU, COUNT (NR_DZIALU) AS LICZ_PRAC_DZIALU FROM PRACOWNICY GROUP BY NR_DZIALU HAVING NR_DZIALU = 30
or
SELECT NR_DZIALU, COUNT (NR_DZIALU) AS LICZ_PRAC_DZIALU FROM PRACOWNICY WHERE NR_DZIALU = 30 GROUP BY NR_DZIALU
The difference between the having and where clause in SQL is that the where clause cannot be used with aggregates, but the having clause can. The where clause works on row's data, not on aggregated data.
A where clause will generally increase the performance of the database. Generally, it is more expensive to return data and filter in the application. The database can optimize the query, using indexes and partitions. The database may be running in parallel, executing the query in parallel.
Use CASE instead of UPDATE UPDATE statement takes longer than CASE statement due to logging. On the other hand, CASE statement determines what needs to be updated and makes your SQL queries faster.
1. WHERE Clause is used to filter the records from the table based on the specified condition. HAVING Clause is used to filter record from the groups based on the specified condition.
The theory (by theory I mean SQL Standard) says that WHERE restricts the result set before returning rows and HAVING restricts the result set after bringing all the rows. So WHERE is faster. On SQL Standard compliant DBMSs in this regard, only use HAVING where you cannot put the condition on a WHERE (like computed columns in some RDBMSs.)
You can just see the execution plan for both and check for yourself, nothing will beat that (measurement for your specific query in your specific environment with your data.)
It might depend on the engine. MySQL for example, applies HAVING almost last in the chain, meaning there is almost no room for optimization. From the manual:
The HAVING clause is applied nearly last, just before items are sent to the client, with no optimization. (LIMIT is applied after HAVING.)
I believe this behavior is the same in most SQL database engines, but I can't guarantee it.
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