Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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Adf pipeline activity need to
anonymous user Thanks for using Microsoft Q&A !!
You can use -
Please refer to the below Gif.
Also sharing pipeline code for your reference, if this helps
{
"name": "pl_read_text_trigger_childPipeline",
"properties": {
"activities": [
{
"name": "Lookup1",
"type": "Lookup",
"dependsOn": [],
"policy": {
"timeout": "7.00:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"source": {
"type": "DelimitedTextSource",
"storeSettings": {
"type": "AzureBlobStorageReadSettings",
"recursive": true,
"enablePartitionDiscovery": false
},
"formatSettings": {
"type": "DelimitedTextReadSettings"
}
},
"dataset": {
"referenceName": "txtDestination",
"type": "DatasetReference"
},
"firstRowOnly": false
}
},
{
"name": "ForEach1",
"type": "ForEach",
"dependsOn": [
{
"activity": "Lookup1",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"items": {
"value": "@activity('Lookup1').output.value",
"type": "Expression"
},
"activities": [
{
"name": "If Condition1",
"type": "IfCondition",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"expression": {
"value": "@equals(item().ID,'3')",
"type": "Expression"
},
"ifTrueActivities": [
{
"name": "Execute Pipeline1",
"type": "ExecutePipeline",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"pipeline": {
"referenceName": "pl_childPipeline",
"type": "PipelineReference"
},
"waitOnCompletion": true,
"parameters": {
"waitTime": {
"value": "3",
"type": "Expression"
}
}
}
}
]
}
}
]
}
}
],
"annotations": []
}
}
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