Définition du flux de données

Cet article fournit une répartition de la structure de définition pour les éléments de flux de données.

Parties de définition

ContentDetails de métadonnées

Décrit le contenu de la charge utile

Contenu ComputeEngineSettings

Contenu de QueryGroups

Contenu de QueriesMetadata

Contenu de la connexion

Exemple ContentDetails de métadonnées

{
  "formatVersion": "202502",
  "computeEngineSettings": {
    "allowFastCopy": true,
    "maxConcurrency": 1
  },
  "name": "SampleDataflowGen",
  "queryGroups": [
    
  ],
  "documentLocale": "en-US",
  "gatewayObjectId": null,
  "queriesMetadata": {
    "publicholidays": {
      "queryId": "a0a0a0a0-bbbb-cccc-dddd-e1e1e1e1e1e1",
      "queryName": "publicholidays",
      "queryGroupId": null,
      "isHidden": false,
      "loadEnabled": true
    },
    "MDF transform": {
      "queryId": "9c6d7c87-83db-4718-b382-c0c1aa1636d7",
      "queryName": "MDF transform",
      "loadEnabled": false
    }
  },
  "connections": [
    {
      "path": "Lakehouse",
      "kind": "Lakehouse",
      "connectionId": "{\"ClusterId\":\"b1b1b1b1-cccc-dddd-eeee-f2f2f2f2f2f2\",\"DatasourceId\":\"c2c2c2c2-dddd-eeee-ffff-a3a3a3a3a3a3\"}"
    }
  ],
  "fastCombine": false,
  "allowNativeQueries": true,
  "skipAutomaticTypeAndHeaderDetection": false
}

Exemple Mashup ContentDetails

[StagingDefinition = [Kind = "FastCopy"]]
section Section1;
shared publicholidays = 
let  Source = Lakehouse.Contents([]),  
#"Navigation 1" = Source{[workspaceId = "d3d3d3d3-eeee-ffff-aaaa-b4b4b4b4b4b4"]}[Data],  
#"Navigation 2" = #"Navigation 1"{[lakehouseId = "e4e4e4e4-ffff-aaaa-bbbb-c5c5c5c5c5c5"]}[Data],  
#"Navigation 3" = #"Navigation 2"{[Id = "publicholidays", ItemKind = "Table"]}[Data],  
#"Changed column type" = Table.TransformColumnTypes(#"Navigation 3", {{"normalizeHolidayName", type text}}),  
#"Lowercased text" = Table.TransformColumns(#"Changed column type", {{"countryRegionCode", each Text.Lower(_), type nullable text}}),  
#"Uppercased text" = Table.TransformColumns(#"Lowercased text", {{"normalizeHolidayName", each Text.Upper(_), type nullable text}}),  
#"Calculated text length" = Table.TransformColumns(#"Uppercased text", {{"countryOrRegion", each Text.Length(_), type nullable Int64.Type}})in  #"Calculated text length";
[ItemType = "MDF"]
shared #"MDF transform" = "___ExternalResource-Placeholder___";

MDFTransform ContentDetails

Décrit le contenu d’une charge utile de mappage Data Flow.

Contenu des propriétés MDFTransform

Contenu MDFTransform TypeProperties

Contenu de la source MDFTransform

Contenu du récepteur MDFTransform

Contenu de la transformation MDFTransform

Contenu de MDFTransform ExternalReferences

Exemple MDFTransform ContentDetails

{
  "name": "MDF",
  "properties": {
    "type": "MappingDataFlow",
    "typeProperties": {
      "sources": [
        {
          "name": "source1",
          "externalReferences": {
            "connection": "<source1ConnectionId>"
          }
        }
      ],
      "sinks": [
        {
          "name": "sink1",
          "externalReferences": {
            "connection": "<sink1ConnectionId>"
          }
        }
      ],
      "transformations": [
        {
          "name": "derivedColumn1"
        }
      ],
      "scriptLines": [
        "source(output(",
        "          Column1 as short,",
        "          Column2 as string,",
        "          Column3 as date,",
        "          Column4 as boolean,",
        "          Column5 as string,",
        "          Column6 as double",
        "     ),",
        "     useSchema: false,",
        "     allowSchemaDrift: true,",
        "     validateSchema: false,",
        "     ignoreNoFilesFound: false,",
        "     format: 'delimited',",
        "     fileSystem: 'folder1',",
        "     fileName: 'file1.csv',",
        "     columnDelimiter: ',',",
        "     escapeChar: '\\\\',",
        "     quoteChar: '\\\"',",
        "     columnNamesAsHeader: true) ~> source1",
        "source1 derive(isColumn6GreaterThan10 = Column6>10) ~> derivedColumn1",
        "derivedColumn1 sink(allowSchemaDrift: true,",
        "     validateSchema: false,",
        "     format: 'json',",
        "     fileSystem: 'output1',",
        "     umask: 0022,",
        "     preCommands: [],",
        "     postCommands: [],",
        "     skipDuplicateMapInputs: true,",
        "     skipDuplicateMapOutputs: true) ~> sink1"
      ]
    }
  }
}