We need to automate the SQL row count, as of now we are using an Excel formula to fill count(*) query to all tables and copying it and pasting in Oracle SQL Developer and running all at once.
So, what I am looking for: is there any way to get automated by using Python or any programming language which directly connects to a database by asking necessary inputs and get all the process done by itself and get me row count for each table without involving me or any process said above.
Related
I am looking to see if the capability is there to have a custom SSMS sql query imported in SPSS (Statistical Package for the Social Sciences). I would want to build syntax that generates this query as my new dataset that I can then continue my scripted analysis. I see the basic query capability of one table from a Sql Server but I would like to create a query that joins to many tables. I anticipate the query to be a bit complex with many joins and perhaps data transformations.
Has anybody had experience or a solution to this situation?
I know I could take the query and make a table of it that SPSS can then connect to but my data changes daily and I would need a job in another application to refresh this table before my SPSS syntax would pull it and I would like to eliminate that first step by just having the query that grabs the data at the beginning of my syntax.
Ultimately I am looking to build out my SPSS syntax and schedule it in the Production Facility to run daily.
Currently We have developed a system for a manual work they have been doing using many excel files.
Is there a best practice for data migration? because I wanted to use backend language like .net to do the validation and insert into tables rather than using SQL to do migration.
Total record in excel is around 12K rows but for many tables so its not needed consider a lot about performance and it is only one time.
I would add a few calculated columns in Excel that would generate SQL Insert / Update scripts. Something like ="INSERT INTO table (column) VALUES ('"&A1&"');"
Then just copy calculated column and run it through SQL client. I used to have a macros to run it directly from Excel through OLEDB that would highlight failed expressions and store SQL Exceptions next to them.
That way the data can be easily tidied, corrected and SQL re-run as needed.
I've got my query that pulls data from sql server 2012 into excel using power query. However, when I change the date range in my query I'd like to pull the new data into my table and store it below the previously pulled data without deleting it. So far all I've found is the refresh button, which will rerun my query with the new dates but replace the old. Is there a way to accomplish this? I'm using it to build an automated QA testing program that will compare this period to last. Thank you.
This sounds like incremental load. If your table doesn't exceed 1,1 Mio rows, you can use the technique described here: http://www.thebiccountant.com/2016/02/09/how-to-create-a-load-history-or-load-log-in-power-query-or-power-bi/
I need users to insert excel data into a sql table on a continuous basis.
They are not sql users, they are barely excel users.
The sprreatsheet is simple, 5 columns, less than 500 rows at a time and all into a single sql table.
In a perfect world they open and update excel and in one or two clicks get a message that says Success.
I am open to any approach.
I have used the import wizard with success, i can write vba code and some sql.
What I don't know how to do is to get a user to inseert excel into a sql table without risking the entire database to complete distruction.
stay well,
michael
you should build a small interface program that the users would update. You can then control it all you want, and update the database as desired, based on their input. Add a single "SAVE" button to save their input.
I have had an odd error I cannot explain. Basically, I am running a query to my SQL database using excel and am having non-existent data pop up when it comes to a very particular order in my database.
Here is a simple query surrounding this order:
select * from OR200100 where OR200100.OR20001='0000793605'
Here is the output in EXCEL
And here is the same output in SQL
what is happening here? How could the same query generate 2 different results?
Run SQL Server Profiler against the database if you can, then compare the output to the sql query that you are running in ssms.
OK, so it's SQL Server then, that's important because different SQL products can have very different idiosyncrasies and controls.
The next things to check are these:
Is OR200100 a Table or a View? If it's a view then post it's code.
Are you using the same Login/account from both Excel and SSMS?
Are you sure that you are connecting to the same Server and Database? SSMS tells you what you are connected to, but client apps like Excel do not and it is very common for this type of problem to be caused by the app connecting to a Dev or QA version of the database. See here for some of the different ways that this can happen:
So I had a very similar problem, my query was grouping by week numbers. What I found was that one of the queries had set datefirst 5 set whilst the other didn't. I guess the key thing here is make sure, if you are using any SET operations in your ssms queries, these are identical to those in the Excel query string.