An Azure service for ingesting, preparing, and transforming data at scale.
Hello again,
Thank you for your previous reply.
We didn't approach your recommended approach.
Unfortunately now we have a serious problem with parameters limit 256. We exceeded this value to 297.
The problem is with the datasets. We have 37 parquet datasets but only one of them uses a different a different linked on production env, that's why we have to parametrize the parquet datasets. At the moment this is the current configuration of parquet datasets:
"Microsoft.DataFactory/factories/datasets": {
"*": {
"properties": {}
},
"Parquet": {
"properties": {
"linkedServiceName": {
"referenceName": "=",
"type": "LinkedServiceReference"
}
}
},
"Json": {
"properties": {
"linkedServiceName": {
"referenceName": "=",
"type": "LinkedServiceReference"
}
}
}
},
As you can see the above approach parametrizes all the parquet type datasets. Is there a way to parametrize only the 1 datasets that changes its value from dev to prod? Can you please provide all the required steps? Is there a way to group all the other datasets that use a specific linked service?