Hi All,
I have performace issues. When logging in and querying forms.How can i solve?
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Performance issues
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- nuBuilder Team
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Re: Performance issues
Performance issues can depend on various factors, so we'll need more details to help. Right now, it's a bit like saying, *"My car is slow, tell me why,"* without knowing the brand, engine, or any details.
Could you provide more information? For example:
- Does this happen for all forms or specific ones?
- How much data is being loaded?
- What MySQL and PHP versions are you using?
- Did the issue just start after a recent change?
With more details, we can better identify potential causes and solutions.
Could you provide more information? For example:
- Does this happen for all forms or specific ones?
- How much data is being loaded?
- What MySQL and PHP versions are you using?
- Did the issue just start after a recent change?
With more details, we can better identify potential causes and solutions.
Re: Performance issues
ok,
1- User logon time 14 second.(For All Standart Users) GlobeAdmin logon time 1 second.
2- problem applied for all users,As the number of records increases, queries become slow. In MSSQL, I used to do something like index updates. I think something similar is needed for MySQL."
1- User logon time 14 second.(For All Standart Users) GlobeAdmin logon time 1 second.
2- problem applied for all users,As the number of records increases, queries become slow. In MSSQL, I used to do something like index updates. I think something similar is needed for MySQL."
-
- nuBuilder Team
- Posts: 4416
- Joined: Sun Oct 14, 2018 6:43 pm
- Has thanked: 74 times
- Been thanked: 472 times
- Contact:
Re: Performance issues
Indexes in MySQL are essential for improving the performance of queries, particularly when working with large datasets. They are most beneficial in scenarios involving joins,
WHERE
conditions, ORDER BY
, and GROUP BY
clauses, as they allow MySQL to quickly locate the relevant rows without scanning the entire table. For instance, indexing columns involved in joins (e.g., user_id
) or columns frequently queried (e.g., logon_time
) can drastically reduce query times, especially as the number of records grows.