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Is it reasonable to store variables in a different database in VTScada (historian type)

Hi,support
As shown in the figure below:
Variable A01 is a type and below it there are 10 variables, and I want to store the history of these 10 variables in different VTScada's history databases

Are there any 2 benefits to doing so?

1.Users can set the retention time of the database data according to their needs, for example,
HistorisanA is retained for 1 year,
HistorisanB is retained for 2 years,
HistorisanC is reserved for 3 years;

2.Is this possible to improve the speed of querying the data, since the data is recorded in different databases, and the capacity of each database will not be very large
Thank you
673c66ccda18c

Hi,support As shown in the figure below: Variable A01 is a type and below it there are 10 variables, and I want to store the history of these 10 variables in different VTScada's history databases Are there any 2 benefits to doing so? 1.Users can set the retention time of the database data according to their needs, for example, HistorisanA is retained for 1 year, HistorisanB is retained for 2 years, HistorisanC is reserved for 3 years; 2.Is this possible to improve the speed of querying the data, since the data is recorded in different databases, and the capacity of each database will not be very large Thank you ![673c66ccda18c](serve/attachment&path=673c66ccda18c)

Hey Jerry,

Your question is certainly apropriate and good that you are considering optimizing your storage and query times. That said, VTScada's database is not like SQL.

First, VTScada typically uses way less disk space than a similar app using SQL. Also, if you want to reduce storage size in VTScada, typically, it is best spend your time looking at the deadbands. You likely don't need data saved at the precision of the instrument and changing this slightly can create an enormous savings in both the historian filesize as well as the RPC traffic between servers.

If you have a single server with a smaller disk size, you can also consider created a filtered tag list for that server which will cause that application on that server to only load a filtered section of the tags. Typically this would be only those in the area apropriate for that localized server (ie: a local VTScada instance in a single liftstation which is part of a much larger system. Note that Subordinate tags are also a good method in this example).

Regarding querying data, VTScada's query times are typically a magnitude of order faster than a SQL database so this is not a concern with most customers.

TLDR:
We typically recommend you use an SSD, pay attention to your deadbands, and enjoy a high performance historian, using less disk space than you are expecting, and containing many years worth of data.

Hey Jerry, Your question is certainly apropriate and good that you are considering optimizing your storage and query times. That said, VTScada's database is not like SQL. First, VTScada typically uses way less disk space than a similar app using SQL. Also, if you want to reduce storage size in VTScada, typically, it is best spend your time looking at the deadbands. You likely don't need data saved at the precision of the instrument and changing this slightly can create an enormous savings in both the historian filesize as well as the RPC traffic between servers. If you have a single server with a smaller disk size, you can also consider created a filtered tag list for that server which will cause that application on that server to only load a filtered section of the tags. Typically this would be only those in the area apropriate for that localized server (ie: a local VTScada instance in a single liftstation which is part of a much larger system. Note that Subordinate tags are also a good method in this example). Regarding querying data, VTScada's query times are typically a magnitude of order faster than a SQL database so this is not a concern with most customers. **TLDR: We typically recommend you use an SSD, pay attention to your deadbands, and enjoy a high performance historian, using less disk space than you are expecting, and containing many years worth of data.**

Trihedral Engineering Ltd.

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