web-programming | UiS DAT310 Web Programming course , spring
kandi X-RAY | web-programming Summary
kandi X-RAY | web-programming Summary
This repository is for the 2018 spring edition of the DAT310 Web programming course at the University of Stavanger.
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QUESTION
Here is my code :
...ANSWER
Answered 2021-Jul-31 at 00:25Update returns a number of records updated by a query. (not exactly updated, but matched a filter clause - more info) You may just query records once again after update..
QUESTION
I am running a B2B website, where customers login, view the catalog and place orders. The website runs on a sub-domain (I think this is an important side note because of this). By the time customers finish their order and click on the place order button, they are sent back to the login screen, loosing their order. Sometimes, this period is shorter sometimes longer. Something to do with the Application Pool being restarted?.
So I created a logging functionality to see what's happening and came to find out whenever a user logs in, the following logs are created:
...ANSWER
Answered 2021-Apr-10 at 14:13If you are unable to use any of the default key persistence methods, there are other options available, e.g. storing the key in a Database (via Entity Framework), Redis, Services like Azure KeyVault etc.
See Key Storage Providers for more details.
QUESTION
I am kind of new to SQL and web-programming right now, so I am doing a little project for myself to get to know every aspect of developing a website (yup, from frontend to backend and sql).
So the point is that potentially I may have a lot of data in my table, like over 3k rows [elements] (relatively a lot) with a bunch of columns [properties] as well. And I know from the beginning that it could be split on, say, four tables. For example, by color. Each element of each color has the same amount of keys and keys itself
So the question is how I could estimate the ratio of time:memory efficiency in this case. I do understand that it is much quicker to search for information in a smaller table, but I have no idea how do SQL tables are stored. For instance, how much additional memory each table costs without.
...ANSWER
Answered 2021-Feb-08 at 17:543,000 rows is small for SQL. You don't want to split large tables, because SQL has strong capabilities for handling larger data. Three come to mind:
- Sophisticated query optimizers.
- Indexes.
- Table partitions.
In addition, the way that data is stored incurs overhead for small tables -- not large ones. Rows are stored on data pages. And data pages are typically measured in thousands of bytes. So, a small row with 100 bytes still occupies one data page -- even if the page could store one hundred such records. And the overhead for reading the data page is the same.
In summary. Your table isn't big. And SQL is optimized for larger tables. So, no need to change your data model.
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