Overhead with a database compared to files on the disk
I have an application with ~50 threads that needs to write a lot on the disk. As there will be between 2TB - 4TB of data, I can't use just ram. I'm currently wondering what's the fastest between:
- Use a database to store all the needed values
- Keep storing values as files on disk (maybe with increasing the commit time to have better performance)
In case of a database, it has to be on one hard drive on the same machine than the application.
I don't know either what's the best type of database for that (relational, key-value...). My data are relatively simple, one category, one ID, one hexadecimal number and in some case one decimal number.
Wouldn't a database cause an overhead with the context switching between processes/threads?
performance
asked Jan 29 at 11:50
o2640110o2640110
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I have an application with ~50 threads that needs to write a lot on the disk. As there will be between 2TB - 4TB of data, I can't use just ram. I'm currently wondering what's the fastest between:
- Use a database to store all the needed values
- Keep storing values as files on disk (maybe with increasing the commit time to have better performance)
In case of a database, it has to be on one hard drive on the same machine than the application.
I don't know either what's the best type of database for that (relational, key-value...). My data are relatively simple, one category, one ID, one hexadecimal number and in some case one decimal number.
Wouldn't a database cause an overhead with the context switching between processes/threads?
performance
asked Jan 29 at 11:50
o2640110o2640110
64
add a comment |
I have an application with ~50 threads that needs to write a lot on the disk. As there will be between 2TB - 4TB of data, I can't use just ram. I'm currently wondering what's the fastest between:
- Use a database to store all the needed values
- Keep storing values as files on disk (maybe with increasing the commit time to have better performance)
In case of a database, it has to be on one hard drive on the same machine than the application.
I don't know either what's the best type of database for that (relational, key-value...). My data are relatively simple, one category, one ID, one hexadecimal number and in some case one decimal number.
Wouldn't a database cause an overhead with the context switching between processes/threads?
performance
asked Jan 29 at 11:50
o2640110o2640110
64
I have an application with ~50 threads that needs to write a lot on the disk. As there will be between 2TB - 4TB of data, I can't use just ram. I'm currently wondering what's the fastest between:
- Use a database to store all the needed values
- Keep storing values as files on disk (maybe with increasing the commit time to have better performance)
In case of a database, it has to be on one hard drive on the same machine than the application.
I don't know either what's the best type of database for that (relational, key-value...). My data are relatively simple, one category, one ID, one hexadecimal number and in some case one decimal number.
Wouldn't a database cause an overhead with the context switching between processes/threads?
performance
performance
asked Jan 29 at 11:50
o2640110o2640110
64
asked Jan 29 at 11:50
o2640110o2640110
64
asked Jan 29 at 11:50
o2640110o2640110
64
asked Jan 29 at 11:50
o2640110o2640110
64
asked Jan 29 at 11:50
o2640110o2640110
64
64
add a comment |
add a comment |
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