populating nopcommerce(version 3.70) database - sql

I am doing a BI project about e-commerce website. I have a complete database back-end(SQL Server 2014) for nopCommerce(version 3.70). I need to populate the empty database. Rather than manually place the order in nopCommerce font-end, do I have other methods to populate the database? I know there are relationships among tables and we cannot just simply import csv files to populate a single table.
Are there any source code I can use to automatically import data to nopCommerce back-end? Thanks a lot.

Since you are saying
I have a complete database back-end(SQL Server 2014) for nopCommerce(version 3.70)
Is it from PROD or Just a empty DB?
Best is to get a Whole backup from PROD with Products, Categorises, Customers and Orders. Manually populating is a daunting task and defeat the purpose of BI Project. Because manual data insertion wont be good as real customer data.
Thats my 2 cents.
Source: Ex-NopCommerce developer for 3 years.

Related

Sync multiple and different DB to one DB (sql Server 2008)

I need suggestions on how i could accomplish this...
i have 3 employee solutions
Every solutions with its own DB
what im trying to do is to unify all these three DB into one. i would also like to be flexible enough to add some other employee solution in the future.
i would also like to use SSIS.
what i've been thinking is, creating a SSIS package where opens a DB and import all data, this SSIS package would use "something" where it says the column mapping of certain DB so the SSIS knows what clumns import...
I tried to be as clear as possible... Any ideas?
thanks in advance
So if you add a new employee to the central DB it should be pushed out to the other three. If the other 3 have different schemas and different platforms then when you add an employee you need to work out which db it is going to, and you need custom insertion code for each db. Also you need to think about what happens if the same person is accidentally added to the central and remote db with slightly different information. You'll end up with a duplicate in the remote db. This is more of a master data application than a reporting application if I understand your requirement correctly.
Your first step is to come up with a schema for your central db, and this has to accomodate all of the information in the three remote db's. Then you need to think about rules ffor merging information accross all these DB's. i.e. if one DB has 'Eye Colour' and the other two don't, and you then create an employee with eye colour into your central db, but the target db doesn't have that field, is that OK? What happens if someone changes the DOB in a source DB, is that meant to update the central DB. What if you do it in both DB's at the same time - who is the winner?
What is the business problem that you are trying to solve?

Create SQL Script to Change Old Database to Current One

I'm creating the front-end for a project and I made a copy of the back-end database from the company's server and put it on my computer. I needed to make some changes (a few new tables and two new columns in an existing table) for security roles and other things so I duplicated the copied database and made my changes on the new one.
I want to deploy my project to the company's server now but we need to modify the original back-end database. I need to generate a SQL script that finds the changes between the old-database and my newer database, which can be run on the old database to create the new tables and columns. The script should retain the data from the old database and NOT add any junk/testing data I made in my new database.
By the way, I'm using SQL Server 2008 R2 and the old database on the server is on 2005. I've been looking around for utilities to use and found tablediff. However, it looks like it will copy the data and I can't see an argument on the information page to toggle this.
I'm sure it's simple but I'm not really sure how to do this. Any help would be appreciated. Thanks.
By far the solution I trust most to handle schema comparisons is Red Gate's SQL Compare:
http://www.red-gate.com/products/sql-development/sql-compare/
It has a companion called Data Compare which is designed specifically for data. You can grab the free trial to see if it does what you need in this case.
There are other options as well, for example SQL Server Data Tools has this functionality, though I haven't tested it to any degree that I could compare feature sets, performance, etc.
I've also blogged about why you want to use a tool and just pay for this functionality, rather than solve it programmatically yourself. The post also mentions a variety of alternatives if budget is a primary blocker:
http://bertrandaaron.wordpress.com/2012/04/20/re-blog-the-cost-of-reinventing-the-wheel/

Pulling data across multiple servers

The company i am working for is implementing Share-point with reporting servers that runs on an SQL back end. The information that we need lives on two different servers. The first server being the Manufacturing server that collects data from PLCs and inputs that information into a SQL database, the other server is our erp server which has data for payroll and hours worked on specific projects. The i have is to create a view on a separate database and then from there i can pull the information from both servers. I am having a little bit of trouble with the syntax for connecting the two servers to run the View. We are running ms SQL. If you need any more information or clarification please let me know.
Please read this about Linked Servers.
Alternatively you can make a Data Warehouse - which would be a reporting data base. You can feed this by either making procs with linked servers or use SSIS packages if they're not linked.
It all depends on a project size and complexity, but in many cases it is difficult to aggregate data from multiple sources with Views. The reason is that the source data structure is modeled for the source application and not optimized for reporting.
In that case, I would suggest going with an ETL process, where you would create a set of Extract, Transform and Load jobs to get data from multiple sources (databases) into a target database where data will be stored in the format optimized for reporting.
Ralph Kimball has many great books on the subject, for example:
1) The Data Warehouse ETL Toolkit
2) The Data Warehouse Toolkit
They are truly worth the read if you are dealing with data

Methods of maintaining sample data in a database

Firstly, let me apologize for the title, as it probably isn't as clear as I think it is.
What I'm looking for is a way to keep sample data in a database (SQL, 2005 2008 and Express) that get modified every so often. At present I have a handful of scripts to populate the database with a specific set of data, but every time the database is changed all the scripts have to be more or less rewritten and I was looking for some alternatives.
I've seen a number of tools and other software for creating sample data in a database, some free and some not. Are there any other methods I haven’t considered?
Thanks in advance for any input.
Edit: Also, if anyone has any advice at all in dealing with keeping data in sync with a changing application or database, that would be of some help as well.
If you are looking for tools for SQL server, go visit Red Gate Software, they have the best tools. They have a data compare tool that you can use to keep lookup type tables up-to-date and a SQL compare tool that you can use to keep the tables synched up between two datbases. So using SQL data compare, create a datbase with all the sample data you want. Then periodically refresh your testing db (or your prod db if these are strictly lookup type tables) using the compare tool.
I also like the alternative of having a script (you can use Red Gate's tool to create scripts) because that means you can store this info in your source control and use it as part of a deployment package to other servers.
You could save them in another database or the same db in different tables distinguished by the name, like employee_test
Joseph,
Do you need to keep just the data in sync, or the schema as well?
One solution to the data question would be SQL Server snapshots. You create a snapshot of your initial configuration, so any changes to the "real" database don't show up in the snapshot. Then, when you need to reset the table, select from the snapshot into a new table. I'm not sure how it will work if the schema changes, but it might be worth a try.
For generation of sample data, the Database project in Visual Studio has functionality that will create fake/random data.
Let me know if this make sense.
Erick

Queries for migrating data in live database?

I am writing code to migrate data from our live Access database to a new Sql Server database which has a different schema with a reorganized structure. This Sql Server database will be used with a new version of our application in development.
I've been writing migrating code in C# that calls Sql Server and Access and transforms the data as required. I migrated for the first time a table which has entries related to new entries of another table that I have not updated recently, and that caused an error because the record in the corresponding table in SQL Server could not be found
So, my SqlServer productions table has data only up to 1/14/09, and I'm continuing to migrate more tables from Access. So I want to write an update method that can figure out what the new stuff is in Access that hasn't been reflected in Sql Server.
My current idea is to write a query on the SQL side which does SELECT Max(RunDate) FROM ProductionRuns, to give me the latest date in that field in the table. On the Access side, I would write a query that does SELECT * FROM ProductionRuns WHERE RunDate > ?, where the parameter is that max date found in SQL Server, and perform my translation step in code, and then insert the new data in Sql Server.
What I'm wondering is, do I have the syntax right for getting the latest date in that Sql Server table? And is there a better way to do this kind of migration of a live database?
Edit: What I've done is make a copy of the current live database. Which I can then migrate without worrying about changes, then use that to test during development, and then I can migrate the latest data whenever the new database and application go live.
I personally would divide the process into two steps.
I would create an exact copy of Access DB in SQLServer and copy all the data
Copy the data from this temporary SQLServer DB to your destination database
In that way you can write set of SQL code to accomplish second step task
Alternatively use SSIS
Generally when you convert data to a new database that will take it's place in porduction, you shut out all users of the database for a period of time, run the migration and turn on the new database. This ensures no changes to the data are made while doing the conversion. Of course I never would have done this using c# either. Data migration is a database task and should have been done in SSIS (or DTS if you have an older version of SQL Server).
If the databse you are converting to is just in development, I would create a backup of the Access database and load the data from there to test the data loading process and to get the data in so you can do the application development. Then when it is time to do the real load, you just close down the real database to users and use it to load from. If you are trying to keep both in synch wile you develop, well I wouldn't do that but if you must, make a nightly backup of the file and load first thing in the morning using your process.
You may want to look at investing in a tool like SQL Data Compare.
I believe it has support for access databases too, and you can download a trial.
I you are happy with you C# code, but it fails because of the constraints in your destination database you temporarily can disable them and then enable after you copy the whole lot.
I am assuming that your destination database is brand new DB with no data, and not used by anyone when the transfer happens
It sounds like you have two problems:
You're migrating data from one database to another.
You're changing your schema.
Doing either of these things is tricky if you are trying to migrate the data while people are using the data.
The simplest approach is to migrate the data based on a static copy of the data, and also to queue updates to that data from the moment you captured the static copy. I don't know how easy this is in Access, but in SQLServer or Oracle you can use the redo logs for this or a manual solution using triggers. The poor-man's way of doing this is to make triggers for all the relevant tables that log the primary key of the records that have changed. Then after the old database is shut off you can iterate over those keys and get those records from the old database and put them into the new database. Just copy the whole record; if the record was deleted then delete it from the new database.
Your problem is compounded by the fact that you can't simply copy the data, you have to transform it. This means you probably have to shut down both databases and re-migrate the records based on the change list. It will take a lot of planning to ensure you get things right and I'd recommend writing a testing script that can validate that the resulting data is correct.
Also I'd ensure that the code for the migration runs inside one of the databases if possible. Otherwise you are copying the data twice and this will significantly harm the performance.