I need to move a series of tables from one datasource to another. Our hosting company doesn't give shared passwords amongst the databases so I can't write a SQL script to handle it.
The best option is just writing a little coldfusion scripty that takes care of it.
Ordinarily I would do something like:
SELECT * INTO database.table FROM database.table
The only problem with this is that cfquery's don't allow you to use two datasources in the same query.
I don't think I could use a QoQ's either because you can't tell it to use the second datasource, but to have a dbType of 'Query'.
Can anyone think of any intelligent ways of getting this done? Or is the only option to just loop over each line in the first query adding them individually to the second?
My problem with that is that it will take much longer. We have a lot of tables to move.
Ok, so you don't have a shared password between the databases, but you do seem to have the passwords for each individual database (since you have datasources set up). So, can you create a linked server definition from database 1 to database 2? User credentials can be saved against the linked server, so they don't have to be the same as the source DB. Once that's set up, you can definitely move data between the two DBs.
We use this all the time to sync data from our live database into our test environment. I can provide more specific SQL if this would work for you.
You CAN access two databases, but not two datasources in the same query.
I wrote something a few years ago called "DataSynch" for just this sort of thing.
http://www.bryantwebconsulting.com/blog/index.cfm/2006/9/20/database_synchronization
Everything you need for this to work is included in my free "com.sebtools" package:
http://sebtools.riaforge.org/
I haven't actually used this in a few years, but I can't think of any reason why it wouldn't still work.
Henry - why do any of this? Why not just use SQL manager to move over the selected tables usign the "import data" function? (right click on your dB and choose "import" - then use the native client and permissions for the "other" database to specify the tables. Your SQL manager will need to have access to both DBs, but the db servers themselves do not need access to each other. Your manager studio will serve as a conduit.
Related
I'm trying to find the best approach to delivering a BI solution to 400+ customers which each have their own database.
I've got PowerBI Embedded working using service principal licensing and I have the PowerBI service connected to my data through the On Premise Data Gateway.
I've build my first report pointing to 1 of the customer databases. Which works lovely.
What I want to do next, when embedding the report, is to tell PowerBI, for this session, to get the database from a different database.
I'm struggling to find somewhere where this is explained, or to understand if this is even possible.
I'm trying to avoid creating 400+ WorkSpaces or 400+ Data Sets.
If someone could point me in the right direction, it would be appreciated.
You can configure the report to use parameters and these parameters can be used to configure the source for your dataset:
https://www.phdata.io/blog/how-to-parameterize-data-sources-power-bi/
These parameters can be set by the app hosting the embedded report:
https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/update-parameters-in-group
Because the app is setting the parameter, each user will only see their own data. Since this will be a live connection, you would need to think about how the underlying server can support the workload.
An alternative solution would be to consolidate the customer databases into a single database (just the relevant tables) and use row level security to restrict access for each customer. The advantage to this design is that you take the burden off of the underlying SQL instance and push it into a PBI dataset that is made to handle huge datasets with sub-second response times.
More on that here: https://learn.microsoft.com/en-us/power-bi/enterprise/service-admin-rls
I have lots of models in my project like Advertisements, UserDetails etc. Currently I have to delete the entire database every year so as to not create any conflicts between this year data and previous year data.
I want to implement a feature that can allow me to switch between different years. What can be the best way to implement this?
I think you could switch schemas in PostgreSQL. It's not completely straightforward. There are several ways to do that you can look into. The way I did it was to use a default search path for the Django database user account (e.g. user2018, user2019, etc) that only included the schema I wanted to use. I can't check the exact settings right now because my office network is down. You can also do it in settings.py or in each individual model using db_table according to what I've read, although both those solutions seem more convoluted that using the search path.
You would have to shutdown, change the database username in settings.py (or change the search path in PostgreSQL, change the schema over to a new one, and then run migrate to create the tables again. If you have reference data in any of the tables then schema-to-schema copies are easy to do.
Try searching for change django database schema postgresql to see what options there are for specifying the schema.
I'm a beginner at Django, and as a practice project I would like to create a webpage with a dashboard to track investments in a particular p2p platform. They do not have a nice dashboard (but provide excel file with all data). As I see it, main steps that I need to do in this project are as follow:
Create login so that users would have account where they upload their excel files.
Make it possible to import excel file to a database
Manipulate/calculate data for it to be later used in dashboard
Create dashboard.
Host webpage.
After some struggle I have implemented point no. 2, and will deal with 1 and 5 later. But number 3 is my biggest issue now.
I'm completely unsure what I need to do, and google did not help. I need to calculate data before I can make dashboard from it. Union two of the tables, and then join them together with a third table, creating some additional needed calculated fields. Do I create a view in the database and somehow fetch this data to Django? Or do I need to create some rules so that new table would be created at the time of the import? I think having table instead of a view would have better performance. Or maybe I'm doing it completely wrong, and should take completely different approach for this kind of task? Also, is SQLite a good database for a task (I'm using it, because it was a default in Django)?
I assume for vizualization part I will need to do it with some JavaScript library, such as D3? Which then would use data from step 3.
For part 3 there is 2 way, either do these stuff and save the result in your database or you can do it when you need it using django model features like annotation, aggregation and etc.
Option 1 requires to add a table for you calculation which is Models in django.
Option 2 requires to create a doing the annotations in a view or model managers and then using them in views.
Django docs: Aggregation
Which is the best is depended on how big your data is, how complicated the calculation is and how often you need them.
And for database; SQLite is just a database for development use not the production and surly not with a lot of data and a lot of calculations. The recommended database for django is postgresql which is pretty good at handling millions and even billions of data and doing heavy calculation.
And for vizualization you should handle it on the template side which is basically HTML, CSS and JS.
I am trying to use django's database routers to shard my database, but I am not able to find a solution for that.
I'd like to define two databases, create the same table in both and then save the even rows in one db, the odd ones in the other one. The examples in the documentation show how to write to a master db and to read from the readonly slaves, which is not what I want, because I don't want to store the whole dataset in both dbs.
Do know any webpage explaining what I am trying to do?
Thank you
PS: I am using Postgresql and I know there are tools to achieve the same goal at DB level. My goal is to study if it can also be done in django and to explore if there are some advantages by doing this.
I work with SQL Server database with ODBC, C++. I want to detect modifications in some tables of the database: another application inserts or updates rows and I have to detect all these modifications. It does not have to be the immediate trigger, it is acceptable to use polling to periodically check database tables for modifications.
Below is the way I think this can be done, and need your opinions whether this is the standard/right way of doing this, or any better approaches exist.
What I've thought of is this: I add triggers in SQL Server, which, on any modification, will insert the identifiers of modified/added rows into special table, which I will check periodically from my application. Suppose there are 3 tables: Customers, Products, Services. i will make three additional tables: Change_Customers, Change_Products, Change_Services, and will insert the identifiers of modified rows of the respective tables. Then I will read these Change_* tables from my application periodically and delete processed records.
Now if you agree that above solution is right, I have another question: Is it better to have separate Change_* tables for each of my tables I wish to monitor, or is it better to have one fat Changes table which will contain the changes from all tables.
Query Notifications is the technology designed to do exactly what you're describing. You can leverage Query Notifications from managed clients via the well known SqlDependency class, but there are native Ole DB and ODBC ways too. See Working with Query Notifications, the paragraphs about SSPROP_QP_NOTIFICATION_MSGTEXT (OleDB) and SQL_SOPT_SS_QUERYNOTIFICATION_MSGTEXT (ODBC). See The Mysterious Notification for an explanation how Query Notifications work.
This is the only polling-free solution that work with any kind of updates. Triggers and polling for changes has severe scalability and performance issues. Change Data Capture and Change Tracking are really covering a different topic (synchronizing datasets for occasionally connected devices, eg. Sync Framework).
Change Data Capture(CDC)--http://msdn.microsoft.com/en-us/library/cc645937.aspx
First you will need to enable CDC in database
::
USE db_name
GO
EXEC sys.sp_cdc_enable_db
GO
Enable CDC on table then
:: sys.sp_cdc_enable_table
Then you can query changes
If your version of Sql Server is 2005 - you may use Notification Services
If your Sql Server is 2008+ - there is most preferrable way to use triggers and log changes to log tables and periodically poll these tables from application to see the changes