I'm new to building SSIS packages, in fact this is my first package. I need to pull data from one DB view on Azure managed instance to an SQL on prem. I have built out the data flow and all. I'm moving data from a database view into a another database table but the destination table has a column that the source doesn't have hence my destination mapping view looks like (See attached image) How do I fix this or what are my options?
If this columns needs to stay empty in the source and you don't have it in source your best and only option is leave it like this. It basically needs to ignore it so no information will be fed. That will work.
In case you need information as current date you can add derivied column box in between your source and destination in your Data Flow where you can add current date or more columns that come from variable for example.
Its self explanatory that ignore(optional) means mapping for those columns can be ignored and if you want columns to be mapped with any calculated column you can do it by using derived column SSIS component Reference
As per your use case,try to use OLD DB component instead of ADO.NET component
to optimize performance for a relatively large data set
Related
I am using Data flow in my Azure Data factory pipeline in order to copy data from one cosmos db collection to another cosmos db collection. I am using cosmos SQL Api as the source and sink datasets.
Problem is when copying the documents from one collection to other,I would like to add an additional column whose value will be same as one of the existing key in json. I am trying with Additional column thing in Source settings but i am not able to figure out how can I add an existing column value in there. anyone with any help on this_
In case of copy activity, you can assign the existing column value to new column under Additional column by specifying value as $$COLUMN and add the column name to be assigned.
If you are adding new column in data flow, you can achieve this using derived column
I am using VS2019 for SSAS Tabular Model development. Have imported a table from a CSV. The source CSV has undergone a change(new column has been added). When I process my table in VS2019, it gets processed successfully. However I am unable to see the new column introduced in source CSV. I went to Table properties and did a Refresh Preview but was not able to see the new column. Closed and re-started solution, re-processed the table but no luck! I remember in VS2017 we used to add the column by going into table properties and selecting the new column but things seem to be different in VS2019. Any help would be appreciated.
I'm assuming you used Get Data / Power Query to import the CSV. This unfortunately generates a Power Query Csv.Document function call that includes the number of columns when the query was generated. This parameter isn't exposed through the usual Power Query UI.
If you use the Advanced Editor or turn on the Formula Bar (view menu), you will see a parameter like Columns=10, was generated, usually in your Source step.
It currently seems safe to delete that parameter by editing the code - it will then always pull back all columns presented. Or if you prefer, you can edit the number of columns, as described in this blog post:
https://prathy.com/2016/08/how-to-add-extra-columns-to-an-existing-power-bi-file-which-using-csv-data-source/
I wanted to get rid off one data source in Tableau, that's why instead of using 2 different data source for one dashboard, I wanted to copy all relevant fields from one data source to other. Is there any way in Tableau, by which I can copy-paste tos field from one to other data source?
In the attached screenshot, I wanted to copy the advisor sales field in data source biadvisorSalesmonth24 to bitransactionPartnerDay365:
You cannot make schema or structure changes to a table / datasource from within Tableau. If advisor sales is not in the bitransactionPartnerDay365 data source, then you will have to keep both data sources in the workbook and join them together.
Now, if you are familiar with the datasets and know the necessary table layout, you could write a custom SQL command and use that SQL command to retrieve the desired data as a single data source.
I work in a sales based environment and our data consists of 'leads'.
Let's say we record CompanyName, PhoneNumber, Address1 & PostCode(ZIP). These rows a seeded with a unique ID in the schema.
The leads come in from various sources and are compiled onto a spread sheet and then imported into SQL 2012 using SSIS.
After a validation check to see if a file exists we then use a simple data flow which consists of an Excel source, Derived Column, Data Conversion and finally an OLE DB Destination.
My requirement I'm sure has a relatively simple solution. I understand what I need to achieve is the first step. I need to take a sample of data from the last rolling two months, if 2 or more fields in the source excel file match the corresponding field in the destination sql table then I want to redirect to another table.
I am unsure of which combination of components I could use to achieve this. I believe that Fuzzy lookup may not be what I am looking for as I am looking to find exact field matches, I have looked at the lookup component but I am unsure if this is the way to go.
Could anyone please provide some advice on how I can best achieve this as simply as possible.
You can use the Lookup to check for matches in your existing table. However, it will be fairly complicated to implement the requirement of checking for any two or more fields matching. Your expression would be long and complex basically consisting of:
(using pseudo code for readability)
IIF((a=a AND b=b) OR (a=a AND c=c) OR (b=b AND c=c) OR ...and so on
for every combination of two columns you want to test
I would do this by importing the entire spreadsheet to a staging table, and doing the existing rows check in a SQL stored proc that moves the data to the desired destination table.
We get weekly data files (flat files) from our vendor to import into SQL, and at times the column names change or new columns are added.
What we have currently is an SSIS package to import columns that have been defined. Since we've assigned the mapping, SSIS only throws up an error when a column is absent. However when a new column is added (apart from the existing ones), it doesn't get imported at all, as it is not named. This is a concern for us.
What we'd like is to get the list of all the columns present in the flat file so that we can check whether any new columns are present before we import the file.
I am relatively new to SSIS, so a detailed help would be much appreciated.
Thanks!
Exactly how to code this will depend on the rules for the flat file layout, but I would approach this by writing a script task that reads the flat file using the file system object and a StreamReader object, and looks at the columns, which are hopefully named in the first line of the file.
However, about all you can do if the columns have changed is send an alert. I know of no way to dynamically change your data transformation task to accomodate new columns. It will have to be edited to handle them. And frankly, if all you're going to do is send an alert, you might as well just use the error handler to do it, and save yourself the trouble of pre-reading the column list.
I agree with the answer provided by #TabAlleman. SSIS can't natively handle dynamic columns (and niether can your SQL destination).
May I propose an alternative? You can detect a change in headers without using a C# Script Tasks. One way to do this would be to create a flafile connection that reads the entire row as a single column. Use a Conditional Split to discard anything other than the header row. Save that row to a RecordSet object. Any change? Send Email.
The "Get Header Row" DataFlow would look like this. Row Number if needed.
The Control Flow level would look like this. Use a ForEach ADO RecordSet object to assign the header row value to an SSIS variable CurrentHeader..
Above, the precedent constraints (fx icons ) of
[#ExpectedHeader] == [#CurrentHeader]
[#ExpectedHeader] != [#CurrentHeader]
determine whether you load data or send email.
Hope this helps!
i have worked for banking clients. And for banks to randomly add columns to a db is not possible due to fed requirements and rules. That said I get your not fed regulated bizz. So here are some steps
This is not a code issue but more of soft skills and working with other teams(yours and your vendors).
Steps you can take are:
(1) reach a solid columns structure that you always require. Because for newer columns older data rows will carry NULL.
(2) if a new column is going to be sent by the vendor. You or your team needs to make the DDL/DML changes to the table were data will be inserted. Ofcouse of correct data type.
(3) document this change in data dictanary as over time you or another member will do analysis on this data and would like to know what is the use of each attribute or column.
(4) long-term you do not wish to keep changing table structure monthly because one of your many vendors decided to change the style the send you data. Some clients push back very aggresively other not so much.
If a third-party tool is an option for you, check out CozyRoc's Data Flow Task Plus. It handles variable columns in sources.
SSIS cannot make the columns dynamic,
one thing, i always do, is use a script task to read the first and last lines of a file.
if it is not an expected list of csv columns i mark file as errored and continue/fail as required.
Headers are obviously important, but so are footers. Files can through any unknown issue be partially built. Requesting the header be placed at the rear of the file it is a double check.
I also do not know if SSIS can do this dynamically, but it never ceases to amaze me how people add/change order of columns and assume things will still work.
1-SSIS Does not provide dynamic source and destination mapping.But some third party component such as Data flow task plus , supporting this feature
2-We can achieve this using ssis script task.
3-If the Header is correct process further for migration else fail the package before DFT execute.
4-Read the line from the header using script task and store in array or list object
5-Then compare those array values to user defined variables declare earlier contained default value as column name.
6-If values are matching exactly then progress further else fail it.