The overall aim of the pipeline is to copy from XML to Oracle.
One of the source columns is a datetime that needs formatting, so I'm using an intermediate copy activity to copy from XML to CSV as instructed in this answer
From the CSV to the table is simple mapping except for the need for an additional target column with a fixed value of '365Response'
I've tried adding this as an additional column as shown below:
However, on the mapping tab, I'm not able to select the new additional column:
What did I do wrong?
Your process to add an Additional column in the copy activity looks correct. If the Additional column is not showing in the mapping, you can clear the mapping and import schema again to refresh the mapping.
Related
I have a sample file like this . Using data factory Where I need to create another text file with output where I can remove the 1st two columns. Is there any query where I can generate a file like as below.
Source file:
Output file :
Core Data Factory (ie not including Mapping Data Flows) is not gifted with many abilities to do data transformation (which this is) however it can do some things. It can change formats (eg .csv to JSON), it can add some metadata columns (like $$FILENAME) and it can remove columns, simply by using the mapping in the Copy activity.
Add a Copy activity to your pipeline and set the source to your main file
Set the Sink to your target file name. It can be the same name as your original file but I would make it different for audit trail purposes.
Import the schema of your file, make sure the separator in the dataset is set to semi-colon ';'
4. Now press the Trash can button to delete the mappings for columns 1 and 2.
5. Run your pipeline. The output file should not have the two columns.
My results:
You can accomplish this task by using Select transformation in mapping data flow in Azure Data Factory (ADF). You can delete any unwanted columns from your delimited text file in data flow transformation.
I tested the same in my environment and it is working fine.
Please follow the below steps:
Create the Azure Data factory using Azure Portal
Upload the data at the source (eg: Blob Container)
Create a linked service to connect the blob storage with ADF as shown below
Then, create DelimitedText datasets using the above linked service for source and sink files. In the source dataset, mark Column delimiter as Semicolon(;). Also, in the Schema tab, select Import Schema From connection/store.
Create a data flow. Select the Source dataset from your datasets list. Click on + symbol to add Select from options as shown below.
**In the settings, select the columns you want to delete and then click on delete option.
Add the sink at the end. In the Sink tab use the sink dataset you created earlier in step 4. In the Settings tab, for File name option select Output to single file and give the filename in below option.
Now create a pipeline and use the Data flow activity. Select the data flow you created. Click on Trigger Now option to run the pipeline.
Check the output file at the sink location. You can see my input and output files below.
Am using Azure DataFlow - DerivedColumn to create some new columns.
Ex:
this is my source and can preview the data.
But from DerivedColumn1 i cannot see these column or even in Expression Editor
Expression Editor:
Is something changed in ADF or am I doing something wrong.
According you screenshot, the column name is set as the row. Or you will get the error in Sink column mapping. Please set "first row as header" in the excel dataset.
If you don't check it, the column name will be considered as first row:
For your issue, you could try bellow workarounds:
import the source schema in Projection and Delete the Derived column
active and add again.
Drop the data flow and create a new one. Some time data flow may
have bugs, we refresh the browser or just recreate the data flow, it
will be solved.
I have a dataset based on a csv file. This exposes a data as follows:
Name,Age
John,23
I have an Azure SQL Server instance with a table named: [People]
This has columns
Name, Age
I am using the Copy Data task activity and trying to copy data from the csv data set into the azure table.
There is no option to indicate the table name as a source. Instead I have a space to input a Stored Procedure name?
How does this work? Where do I put the target table name in the image below?
You should DEFINITELY have a table name to write to. If you don't have a table, something is wrong with your setup. Anyway, make sure you have a table to write to; make sure the field names in your table match the fields in the CSV file. Then, follow the steps outlined in the description below. There are several steps to click through, but all are pretty intuitive, so just follow the instructions step by step and you should be fine.
http://normalian.hatenablog.com/entry/2017/09/04/233320
You can add records into the SQL Database table directly without stored procedures, by configuring the table value on the Sink Dataset rather than the Copy Activity which is what is happening.
Have a look at the below screenshot which shows the Table field within my dataset.
I am coping data from a rest api to an azure SQL database. The copy is working find but there is a column which isn't being return within the api.
What I want to do is to add this column to the source. I've got a variable called symbol which I want to use as the source column. However, this isn't working:
Mapping
Any ideas?
This functionality is available using the "Additional Columns" feature of the Copy Activity.
If you navigate to the "Source" area, the bottom of the page will show you an area where you can add Additional Columns. Clicking the "New" button will let you enter a name and a value (which can be dynamic), which will be added to the output.
Source(s):
https://learn.microsoft.com/en-us/azure/data-factory/copy-activity-overview#add-additional-columns-during-copy
Per my knowledge, the copy activity may can't meet your requirements.Please see the error conditions in the link:
Source data store query result does not have a column name that is
specified in the input dataset "structure" section.
Sink data store (if with pre-defined schema) does not have a column
name that is specified in the output dataset "structure" section.
Either fewer columns or more columns in the "structure" of sink
dataset than specified in the mapping.
Duplicate mapping.
I think Mapping Data Flow is your choice.You could add a derived column before the sink dataset and create a parameter named Symbol.
Then set the derived column as the value of Symbol.
You can use the Copy Activity with a stored proc sink to do that. See my answer here for more info.
I'm designing a Copy Data task where the Sink SQL Server table contains an Identity column. The Copy Data task always wants me to map that column when, in my opinion, it should just not include the column in the list of columns to map. Does anyone know how I can get the ADF Copy Data task to ignore Sink Identity columns?
If you are using copy data tool, and in your sql server, the ID is set as auto-increment, then it should not show out at the mapping step. Please tell us if it is not the case.
If you are using the create pipeline/dataset, you could just go to the sink dataset schema tab, remove the id column. And then go to the copy activity mapping tab, click import schemes again. ID column should has disappeared now.
You could include a SET_IDENTITY_INSERT_ON statement for the given table before executing the copy step. After completed, set it to OFF.