How can i Load two files(csv) the same shemas into my sqlDatabase with AzureDatafactory flow?
I've created one flow with two input and the same output but i get just the one table data the other one (NULL) .
As you said, the two csv file have the same schema, you could put them in same folder or container, make sure the container or folder only have the two files.
Then you could follow my steps:
My Container :
Data and file schema:
Data FLOW Source dataset settings:
Just choose the container or folder, all the csv files in it will be chosen. When we preview data, the data of the two csv files will be merged together
Sink dataset settings and data preview(the data will be inserted to the Sink table):
Run the pipeline:
Check the data in Sink table:
Hope this helps.
Related
I have a copy activity that takes a bunch of JSON files and merges them into a singe JSON.
I would now like to copy the merged single JSON to Azure SQL DB. Is that possible?
Ok, it appears to be working however the output in SQL is just countryCode and CompanyId
However, I need to retrieve all the financial information in the JSON as well
Azure Data Factory Copy Activity for JSON to Table in Azure SQL DB
I repro'd the same and below are the steps.
Two json files are taken as source.
Those files are merged into single file using copy activity.
Then Merged Json data is taken as source dataset in another copy activity.
In sink, dataset for Azure SQL db is created and Auto create table option is selected.
In sink dataset, edit checkbox is selected and sink table name is given.
Once the pipeline is run, data is copied to table.
Does any one have an example of appending data to a file stored in azure datalake from source using Data Factory and the rest API here
Can I use a copy activity with REST dataset on the sink side ?
Bellow is my pipeline, it consists of a copy activity inside a foreach loop. My requirement is : if the file already exists on the sink then append data to the same file. (the copy activity here overwrite the existing file with just the new data)
Sink :
Currently, the append data to a file in Azure Data Lake is not supported in the Azure Data Factory.
As a workaround,
Load multiple files using ForEach activity into data lake.
Merge the individual files to get a single file (final file) using copy data activity.
Delete the individual files after merging.
Please refer this SO thread for similar process.
I have a Data Flow which reads multiple CSV files from Azure Data Lake and writes them into Azure Blob Storage as a single file. I need to get the url of the file written to the blob.
This data flow is a part of a pipeline and I need to give the Blob url as the output of the pipeline. Is there any way achieve this? Thanks in advance for your help.
To create a new column name in your data stream that is the source
file name and path utilize "Column to store file name" field under
Source transformation --> Source Options.
Source Options settings
Data Preview
You can also have a parameter inside your data flow to hold file name or file path and add that parameter value as new column using derived column transformation.
Please Note: You need supply value in to your data flow parameter from data flow activity.
Environment:
MS Azure:
Blob Container, multiple csv files saved in a folder. This is my source.
Azure Sql Database. This is my target
Goal:
Use Azure Data Factory and build a pipeline to "copy" all files from the container and store them in their respective tables in the Azure Sql database by automatically creating those tables.
How do I do that? I tried following this but I just end up having tables incorrectly created in the database, where table is created with a single column having same name as the table name.
I believe I followed the instructions from that link pretty must as they are.
My CSV file is as follows, one column contains the table name.
The previous steps will not be repeated,it is the same as the link.
At Step3 inside the Foreach activity, we should add a Lookup activity to query the table name from the source dataset.
We can declare a String type variable tableName pervious, then set the value via expression #activity('Lookup1').output.firstRow.tableName.
At sink setting of the Copy activity, we can key in #variables('tableName').
ADF will auto create the table for us.
The debug result is as follows:
While reading azure sql table data (which actually consists of path of the directories) from azure data factory by using the paths how to dynamically get the files from the datalake.
Can any one tell me what should I give in the dataset
Screenshot
You could use lookup activity to read data from azure sql, and then following it by an foreach activity. And then, pass #item(). to your dataset parameter k1.