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Can i export and import my database to 'flatten' out any memory page issues
Why do we need entity objects?MySQL Question - How to handle multiple types of users - one table or multiple?When should I consider using a in memory database and what are the issue to look out for?First-time database design: am I overengineering?rails: changing databaseRecreate deleted database using Entity FrameworkIs it safe to truncate the schema_migrations table?Enhance persistence.xml for database updateAdd Entity Framework Migration Through CodeRuby on Rails 5.0 upgrade with migrating users table conflicts
I have an SQL database that I have been working with a while,
Maybe I am going down the road of prematurely optimizing...
But i have been adding new tables and adding/modifying fields in this database as the application develops - note the application is in full uses so we are adding to the database using entity migrations.
My worry is by adding lots of small changes i am creating a fragmented memory model.
Is it worth at soem point stopping the db and exporting and then reimporting again.
Would this recreate the db in a layout as if i had created it all in one go without all the additions etc.
I am conscious about additional fields ending up in totally different pages etc.
Any ideas? Am i off the mark here?
Its not a high usage db so the difference is probably marginal...
database
add a comment |
I have an SQL database that I have been working with a while,
Maybe I am going down the road of prematurely optimizing...
But i have been adding new tables and adding/modifying fields in this database as the application develops - note the application is in full uses so we are adding to the database using entity migrations.
My worry is by adding lots of small changes i am creating a fragmented memory model.
Is it worth at soem point stopping the db and exporting and then reimporting again.
Would this recreate the db in a layout as if i had created it all in one go without all the additions etc.
I am conscious about additional fields ending up in totally different pages etc.
Any ideas? Am i off the mark here?
Its not a high usage db so the difference is probably marginal...
database
add a comment |
I have an SQL database that I have been working with a while,
Maybe I am going down the road of prematurely optimizing...
But i have been adding new tables and adding/modifying fields in this database as the application develops - note the application is in full uses so we are adding to the database using entity migrations.
My worry is by adding lots of small changes i am creating a fragmented memory model.
Is it worth at soem point stopping the db and exporting and then reimporting again.
Would this recreate the db in a layout as if i had created it all in one go without all the additions etc.
I am conscious about additional fields ending up in totally different pages etc.
Any ideas? Am i off the mark here?
Its not a high usage db so the difference is probably marginal...
database
I have an SQL database that I have been working with a while,
Maybe I am going down the road of prematurely optimizing...
But i have been adding new tables and adding/modifying fields in this database as the application develops - note the application is in full uses so we are adding to the database using entity migrations.
My worry is by adding lots of small changes i am creating a fragmented memory model.
Is it worth at soem point stopping the db and exporting and then reimporting again.
Would this recreate the db in a layout as if i had created it all in one go without all the additions etc.
I am conscious about additional fields ending up in totally different pages etc.
Any ideas? Am i off the mark here?
Its not a high usage db so the difference is probably marginal...
database
database
asked Mar 8 at 11:00
softyenginsoftyengin
32
32
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You don't mention the specific database engine you're using, but you are almost certainly barking up the wrong tree here - on modern hardware, this kind of optimization is so marginal you only notice it in edge cases. I've worked on dozens of database projects, with lots of migrations and other DDL changes, and I have never run into this problem.
I would put my energy into:
- modern, fast hardware (lots of RAM, SSDs)
- query optimization
- possibly running the code that refreshes your indexes (update statistics or similar) on a schedule.
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You don't mention the specific database engine you're using, but you are almost certainly barking up the wrong tree here - on modern hardware, this kind of optimization is so marginal you only notice it in edge cases. I've worked on dozens of database projects, with lots of migrations and other DDL changes, and I have never run into this problem.
I would put my energy into:
- modern, fast hardware (lots of RAM, SSDs)
- query optimization
- possibly running the code that refreshes your indexes (update statistics or similar) on a schedule.
add a comment |
You don't mention the specific database engine you're using, but you are almost certainly barking up the wrong tree here - on modern hardware, this kind of optimization is so marginal you only notice it in edge cases. I've worked on dozens of database projects, with lots of migrations and other DDL changes, and I have never run into this problem.
I would put my energy into:
- modern, fast hardware (lots of RAM, SSDs)
- query optimization
- possibly running the code that refreshes your indexes (update statistics or similar) on a schedule.
add a comment |
You don't mention the specific database engine you're using, but you are almost certainly barking up the wrong tree here - on modern hardware, this kind of optimization is so marginal you only notice it in edge cases. I've worked on dozens of database projects, with lots of migrations and other DDL changes, and I have never run into this problem.
I would put my energy into:
- modern, fast hardware (lots of RAM, SSDs)
- query optimization
- possibly running the code that refreshes your indexes (update statistics or similar) on a schedule.
You don't mention the specific database engine you're using, but you are almost certainly barking up the wrong tree here - on modern hardware, this kind of optimization is so marginal you only notice it in edge cases. I've worked on dozens of database projects, with lots of migrations and other DDL changes, and I have never run into this problem.
I would put my energy into:
- modern, fast hardware (lots of RAM, SSDs)
- query optimization
- possibly running the code that refreshes your indexes (update statistics or similar) on a schedule.
answered Mar 8 at 11:10
Neville KuytNeville Kuyt
23k2641
23k2641
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