I am trying load the CSV file from source blob storage and option selected for first row as a header but while doing multiple time debug trigger, the header keep changing, so that i could not able to insert the data to target SQL DB.
kindly suggest and how do we handle this scenario. i am expecting static header needs to configure from source or else existing column i would have to rename into adf side.
Thanks
In Source settings "Allow Schema drift" needs to be ticked.
Allow Schema Drift should be turned-on in the sink as well.
Related
I use data flow in Azure data factory And I set as source dataset files with the same name. The files have named “name_date1.csv” end “name_date2.csv”. I set path “name_*.csv”. I want that data flow load in sink db only data of “name_date1”. How is it possible?
I have reproduced the above and able to get the desired file to sink using Column to store file name option in source options.
These are my source files in storage.
I have given name_*.csv in wild card of source as same as you to read multiple files.
In source options, go to Column to store file name and give a name and this will store the file name of every row in new column.
Then use filter transformation to get the row only from a particular file.
notEquals(instr(filename,'name_date1'),0)
After this give your sink and you can get the rows from your desired file only.
I have an ADF with a copy activity which copies a json blob to kusto.
I have did the following:
Created a json mapping in the kusto table.
In the "Sink" section of the copy activity: I set the Ingestion mapping name field the name of #1.
In the mapping section of the copy activity, I mapped all the fields.
When I run the copy activity, I get the following error:
"Failure happened on 'Sink' side. ErrorCode=UserErrorKustoWriteFailed,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Failure status of the first blob that failed: Mapping reference wasn't found.,Source=Microsoft.DataTransfer.Runtime.KustoConnector,'"
I looked in kusto for ingestion failures and I see this:
Mapping reference 'mapping1' of type 'mappingReference' in database '' could not be found.
Why am I seeing those errors even though I have an ingestion mapping on the table and what do I need to do to correct it?
It might be that the ingestion format specified in the ADF is not json.
Well, After I removed the mapping name in the sink section, it works.
Looks like the docs are not updated because it states that you can define both:
"ingestionMappingName Name of a pre-created mapping on a Kusto table. To map the columns from source to Azure Data Explorer (which applies to all supported source stores and formats, including CSV/JSON/Avro formats), you can use the copy activity column mapping (implicitly by name or explicitly as configured) and/or Azure Data Explorer mappings."
I am reading an SQL DB as source and it outputs the following table.
My intention is to use data flow to save each unique type into a data lake folder partition probably named as specific type.
I somehow manage to create individual folders but my data flow saves the entire table with all types into each of the folders.
my data flow
Source
Window
Sink
Any ideas?
I create a same csv source and it works well, please ref my example.
Windows settings:
Sink settings: choose the file name option like this
Note, please don't set optmize again in sink side.
The output folder schema we can get:
Just for now, Data Factory Data Flow doesn't support custom the output file name.
HTH.
You can also try "Name folder as column data" using the OpType column instead of using partitioning. This is a property in the Sink settings.
I want to update the Target csv file (Located in Azure Data Lake Store) with delta records updated every day (delta file sit in blob). If existed record updated, then I want to update the same in Target file or if the delta records is new one, then want to append that records to Target CSV file in azure data lake store. I want to implement this using Azure Data Factory, preferably using ADF Data flow.
I am trying to do this using Azure Data Factory Data Flow Task, but I observed it is possible to create new target file post the merge but couldn't able to update the existed file.
Please let me know if any powershell or any other way if we can update the target file
We have a sample template that shows you how to update an existing file from a new file using ADF Data Flows. The file type is Parquet, but will work for CSV as well.
Go to New > Pipeline from Template and look for "Parquet CRUD Operations". You can open up that Data Flow to see how it's done.
I want to create a ADF pipeline which needs to access an API and using some filter parameter it will get data from there and write the output in JSON format in DataLake. How can I do that??
After the JSON available in Lake it needs to be converted to CSV file. How to do?
You can create a pipeline with copy activity from HTTP connector to Datalake connector. Use HTTP as the copy source to access the API (https://learn.microsoft.com/en-us/azure/data-factory/connector-http), specify the format in dataset as JSON. Reference https://learn.microsoft.com/en-us/azure/data-factory/supported-file-formats-and-compression-codecs#json-format on how to define the schema. Use Datalake connector as the copy sink, specify the format as Text format, and do some modification like row delimiter and column delimiter according to your need.
the below work follow may meet your requirement:
Involve a Copy activity in ADFv2, where the source dataset is HTTP data store and the destination is the Azure Data lake store, HTTP source data store allows you to fetch data by calling API and Copy activity will copy data into your destination data lake.
Chain an U-SQL activity after Copy activity, once the Copy activity succeeds, it'll run the U-SQL script to convert json file to CSV file.