获取Azure数据工厂子文件夹中的所有文件夹名称。

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英文:

Get all folder names in subfolders Azure Data factory

问题

我在Data Lake中有以下的文件夹结构;

datasetname/fullload/year/month/day/hour/min/sec/data

我无法创建Azure函数或Databricks,只能使用简单的ADF活动。

我想要从我的ParentFolder目录(datasetname/fullload)的所有子文件夹中获取最新的文件夹名称。我尝试了使用GetMetadata -> 设置变量然后循环,但仍然不起作用。

我需要获取Blob存储中文件夹的最新路径。

谢谢。

英文:

I have a below Folder Structure in Data Lake;

datasetname/fullload/year/month/day/hour/min/sec/data

获取Azure数据工厂子文件夹中的所有文件夹名称。

I can't create Azure function or databrick. just simple adf activity

I want to get the latest folder names from all subfolders of my ParentFolder directory (datasetname/fullload) . I tried GetMetadata -> set variable then loop but still not working

获取Azure数据工厂子文件夹中的所有文件夹名称。

获取Azure数据工厂子文件夹中的所有文件夹名称。

I need to get the latest path of the folder in the blob storage

Thanks

答案1

得分: 1

以下是翻译好的部分:

  • 由于您需要最新的数据,而文件夹大多是数字,您可以在每个子文件夹中找到最大的数字,以找到最新的数据。

  • 我的文件数据如下图所示:

获取Azure数据工厂子文件夹中的所有文件夹名称。

  • 要找到最大的文件夹,我使用了2个流程。 pipeline1 用于迭代并获取子项,直到子项不存在。 pipeline2 用于查找特定文件夹中子文件夹名称列表的最大数值。

  • 以下是 pipeline1 的管道 JSON:

{
    "name": "pipeline1",
    "properties": {
        "activities": [
            {
                "name": "get path",
                "type": "Until",
                ...
            },
            {
                "name": "Set flag",
                "type": "SetVariable",
                ...
            },
            {
                "name": "Set path",
                "type": "SetVariable",
                ...
            }
        ],
        "variables": {
            "path": {
                "type": "String"
            },
            "flag": {
                "type": "String"
            },
            "values": {
                "type": "Array"
            },
            "max_val": {
                "type": "String"
            },
            "tp": {
                "type": "String"
            }
        },
        "annotations": []
    }
}
  • 以下是 pipeline2 的管道 JSON:
{
    "name": "pipeline2",
    "properties": {
        "activities": [
            {
                "name": "make array of values",
                "type": "ForEach",
                ...
            },
            {
                "name": "return max",
                "type": "SetVariable",
                ...
            }
        ],
        "parameters": {
            "array_to_find_max": {
                "type": "array",
                "defaultValue": [
                    {
                        "name": "2022",
                        "type": "Folder"
                    },
                    {
                        "name": "2023",
                        "type": "Folder"
                    }
                ]
            }
        },
        "variables": {
            "values": {
                "type": "Array"
            },
            "max_val": {
                "type": "String"
            },
            "tp": {
                "type": "String"
            }
        },
        "annotations": []
    }
}
  • 我用于获取元数据活动的数据集配置如下。在我的情况下,path 的初始值为 data/f1/ff1,并且其值将被更新(最大文件夹名称将被连接):

获取Azure数据工厂子文件夹中的所有文件夹名称。

  • 当我运行这个管道时,我得到了所需的结果。在 until 循环停止后,变量 path 包含所需的路径,即最新数据的路径:

获取Azure数据工厂子文件夹中的所有文件夹名称。

英文:
  • Since you need the latest data and the folders are mostly numbers, you can find the greatest number in each sub folder to find the latest data.
  • I have file data as shown in the below image:

获取Azure数据工厂子文件夹中的所有文件夹名称。

  • To find the greatest folder, I have used 2 pipelines. pipeline1 is used to iterate and get child items until child items don't exist. pipeline2 is to find the maximum number for the list of sub-folder names in a particular folder.

  • The following is the pipeline JSON for pipeline1:

{
"name": "pipeline1",
"properties": {
"activities": [
{
"name": "get path",
"type": "Until",
"dependsOn": [
{
"activity": "Set flag",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"expression": {
"value": "@equals(variables('flag'),'true')",
"type": "Expression"
},
"activities": [
{
"name": "Get sub folders",
"type": "GetMetadata",
"dependsOn": [],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"dataset": {
"referenceName": "root",
"type": "DatasetReference",
"parameters": {
"path": {
"value": "@variables('path')",
"type": "Expression"
}
}
},
"fieldList": [
"childItems"
],
"storeSettings": {
"type": "AzureBlobFSReadSettings",
"enablePartitionDiscovery": false
},
"formatSettings": {
"type": "DelimitedTextReadSettings"
}
}
},
{
"name": "If Condition1",
"type": "IfCondition",
"dependsOn": [
{
"activity": "Get sub folders",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"expression": {
"value": "@greater(length(activity('Get sub folders').output.childItems),0)",
"type": "Expression"
},
"ifFalseActivities": [
{
"name": "Set variable1",
"type": "SetVariable",
"dependsOn": [],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"variableName": "flag",
"value": {
"value": "true",
"type": "Expression"
}
}
}
],
"ifTrueActivities": [
{
"name": "get latest",
"type": "ExecutePipeline",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"pipeline": {
"referenceName": "pipeline2",
"type": "PipelineReference"
},
"waitOnCompletion": true,
"parameters": {
"array_to_find_max": {
"value": "@activity('Get sub folders').output.childItems",
"type": "Expression"
}
}
}
},
{
"name": "append max to path",
"type": "SetVariable",
"dependsOn": [
{
"activity": "get latest",
"dependencyConditions": [
"Succeeded"
]
}
],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"variableName": "tp",
"value": {
"value": "@{variables('path')}/@{activity('get latest').output.pipelineReturnValue.max_val}",
"type": "Expression"
}
}
},
{
"name": "update path",
"type": "SetVariable",
"dependsOn": [
{
"activity": "append max to path",
"dependencyConditions": [
"Succeeded"
]
}
],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"variableName": "path",
"value": {
"value": "@variables('tp')",
"type": "Expression"
}
}
}
]
}
}
],
"timeout": "0.12:00:00"
}
},
{
"name": "Set flag",
"type": "SetVariable",
"dependsOn": [
{
"activity": "Set path",
"dependencyConditions": [
"Succeeded"
]
}
],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"variableName": "flag",
"value": {
"value": "false",
"type": "Expression"
}
}
},
{
"name": "Set path",
"type": "SetVariable",
"dependsOn": [],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"variableName": "path",
"value": {
"value": "data/f1/ff1",
"type": "Expression"
}
}
}
],
"variables": {
"path": {
"type": "String"
},
"flag": {
"type": "String"
},
"values": {
"type": "Array"
},
"max_val": {
"type": "String"
},
"tp": {
"type": "String"
}
},
"annotations": []
}
}
  • The following is the pipeline JSON for pipeline2:
{
"name": "pipeline2",
"properties": {
"activities": [
{
"name": "make array of values",
"type": "ForEach",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"items": {
"value": "@pipeline().parameters.array_to_find_max",
"type": "Expression"
},
"isSequential": true,
"activities": [
{
"name": "append each value",
"type": "AppendVariable",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"variableName": "values",
"value": {
"value": "@int(item().name)",
"type": "Expression"
}
}
}
]
}
},
{
"name": "return max",
"type": "SetVariable",
"dependsOn": [
{
"activity": "make array of values",
"dependencyConditions": [
"Succeeded"
]
}
],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"variableName": "pipelineReturnValue",
"value": [
{
"key": "max_val",
"value": {
"type": "Expression",
"content": "@if(equals(length(string(max(variables('values')))),1),concat('0',string(max(variables('values')))),string(max(variables('values'))))"
}
}
],
"setSystemVariable": true
}
}
],
"parameters": {
"array_to_find_max": {
"type": "array",
"defaultValue": [
{
"name": "2022",
"type": "Folder"
},
{
"name": "2023",
"type": "Folder"
}
]
}
},
"variables": {
"values": {
"type": "Array"
},
"max_val": {
"type": "String"
},
"tp": {
"type": "String"
}
},
"annotations": []
}
}
  • The following is the dataset configuration that I used for get metadata activity. The initial value of path in my case is data/f1/ff1 and its value would be updated (greatest folder name would be concatenated):

获取Azure数据工厂子文件夹中的所有文件夹名称。

  • When I run this pipeline, I get the desired results. After the until loop stops, the variable path has the required path i.e., the path to latest data:

获取Azure数据工厂子文件夹中的所有文件夹名称。

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  • 本文由 发表于 2023年6月22日 15:23:43
  • 转载请务必保留本文链接:https://go.coder-hub.com/76529469.html
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