my source is SQLDB
SINK :BLOB
SQL table have columns
in target file which i have creating blob initially no Header right. so customer given some Predefined Names so that data from sql column sholud be mapped those fileds.
in copy activity at mapping i need to map WITH proper data type and name which customer given
defaut its coming but i need ti map as i stated
HoW will i resolve it can some one help me
You can simply edit the sink header names, since its a TSV anyways
For addressing DataType mapping,
See, Data type mapping
Currently such data type conversion is supported when copying between
tabular data. Hierarchical sources/sinks are not supported, which
means there is no system-defined data type conversion between source
and sink interim types.
Related
I need to store/map one or more data flow parameters to my Sink (Azure SQL Table).
I can fetch other data from a REST Api and is able to map these to my Sink columns (see below). I also need to generate some UUID's as key fields and add these to the same table.
I would like my EmployeeId column to contain my Data Flow Input parameter, e.g. named param_test. In addition to this I need to insert UUID's to other columns which are not part of my REST input fields.
How to I acccomplish that?
You need to use a derived column transformation, and there edit the expression to include the parameters.
derived column transformation
expression builder
Adding to #Chen Hirsh, use the same derived column to get uuid values to the columns after REST API Source.
They will come into sink mapping:
Output:
I would like to copy the data from local csv file to sql server in Azure Data Factory. The table in sql server is created already. The local csv file is exported from mysql.
When I use copy data in Azure Data Factory, there is an error "Exception occurred when converting value 'NULL' for column name 'deleted' from type 'String' to type 'DateTime'. The string was not recognized as a valid DateTime.
What I have done:
I checked the original value from column name 'deleted' is NULL, without quotes(i.e. not 'NULL').
I cannot change the data type during file format settings. The data type for all column is preset to string as default.
I tried to create data flow instead of copy data. I can change the data type from source projection. But the sink dataset cannot select sql server.
What can I do to copy data from CSV file to sql server via Azure Data Factory?
Data Flow doesn't support on-premise SQL. We can't create the source and sink.
You can use copy active or copy data tool to do that. I made an example data which delete is NULL:
As you said the delete column data is Null or contains NULL, and ALL will be considered as String. The key is that your Sink SQL Server table schema if it allows NULL.
I tested many times and it all works well.
We are using Azure Data Factory Mapping data flow to read from Common Data Model (model.json).
We use dynamic pattern – where Entity is parameterised and we do not project any columns and we have selected Allow schema drift.
Problem: We are having issue with “Source” in mapping data flow (Source Type is Common Data Model). All the datetime/timestamp columns are read as null in source activity.
We also tried in projection tab Infer drifted column types where we provide a format for timestamp columns, However, it satisfies only certain timestamp columns - since in the source each datetime column has different timestamp format.
11/20/2020 12:45:01 PM
2020-11-20T03:18:45Z
2018-01-03T07:24:20.0000000+00:00
Question: How to prevent datetime columns becoming null? Ideally, we do not want Mapping Data Flow to typecast any columns - is there a way to just read all columns as string?
Some screenshots
In Projection tab - we do not specify schema - to allow schema drift and to dynamically load more than 1 entities.
In Data Preview tab
ModifiedOn, SinkCreatedOn, SinkModifiedOn - all these are system columns and will definitely have values in it.
This is now resolved on a separate conversation with Azure Data Factory team.
Firstly there is no way to 'stringfy' all the columns in Source, because CDM connector gets its metadata from model.json (if needed this file can be manipulated, however not ideal for my scenario).
To solve datetime/timestamp columns becoming null - under Projection tab we need to select Infer drifted column types and then you can add "multiple" time formats that you expect to come from CDM. You can either select from dropdown - if your particular datetime format is not listed in the dropdown (which was my case) then you can edit the code behind the data flow (i.e. data flow script), to add your format (see second screenshot).
I want to use Data Factory to migrate data in the storage account, but data in the original table is a many type ex: some data in column int, String, DateTime.
When I use Data Factory I need to specify the data type, so how I can definite dynamic type and copy column. Because all data migrate parsed to String type, so how can I keep value type of column?
This my data in the original table
enter image description here
Thanks for your help
According my experience in Data factory, Data Factory can not help you keep value type of column in source table. You must specify the data type in sink dataset.
Copy Data:
As you have tried, if you didn't set the sink data type, the column type will passed String in default.
I have an idea is that cope the data twice, each time copy the different entity column. The sink dataset support 'Merge' and 'Replace'.
Hope this helps.
Not sure if I am understanding the question , but let me first put forward my understanding , you want to copy a table lets say sourceT1 to SinkT1 , if that's the case you can always use the copy activity and then map the columns . When you map the columns it does set the data type also .
I have a "Copy" step in my Azure Data Factory pipeline which copies data from CSV file to MSSQL.
Unfortunately, all columns in CSV comes as String data type. How can I change these data types to match the data type in SQL table.
Here is how the data is available in CSV file.
I would like to change data type of WIPStateKey to Integer and ReportDt to Timestamp. I do not seem to find an option to achieve this.
Yes as you said "all columns in CSV comes as String data type".
But when using a copy active, choose the csv file as the source, we can import the schema and change the column data type.
I created a demo.csv file for test:
I copy data from my demo.csv file to my Azure SQL database.
During file format setting, we can change the column data type:
Table mapping:
Column mapping:
Copy completed:
Hope this helps