本文會說明使用 Flow Service API 匯出 資料集 從Adobe Experience Platform到您偏好的雲端儲存位置,例如 Amazon S3、 SFTP位置或 Google Cloud Storage.
您也可以使用Experience Platform使用者介面來匯出資料集。 閱讀 匯出資料集UI教學課程 以取得詳細資訊。
目前,您可以將資料集匯出至熒幕擷取畫面中反白顯示及以下列出的雲端儲存空間目的地。
本指南需要您實際瞭解下列Adobe Experience Platform元件:
以下小節提供將資料集匯出至Platform中的雲端儲存空間目的地所需的其他資訊。
若要匯出資料集,您需要 管理目的地, 檢視目的地, 啟用目的地、和 管理和啟用資料集目的地 存取控制許可權. 閱讀 存取控制總覽 或聯絡您的產品管理員以取得必要許可權。
為確保您擁有匯出資料集的必要許可權,且目的地支援匯出資料集,請瀏覽目的地目錄。 如果目的地有 啟動 或 匯出資料集 控制項,則表示您擁有適當的許可權。
本教學課程提供範例API呼叫,示範如何格式化您的請求。 這些包括路徑、必要的標頭,以及正確格式化的請求裝載。 此外,也提供API回應中傳回的範例JSON。 如需檔案中用於範例API呼叫的慣例相關資訊,請參閱以下章節: 如何讀取範例API呼叫 在 Experience Platform 疑難排解指南。
為了呼叫 Platform API,您必須先完成 Experience Platform驗證教學課程. 完成驗證教學課程後,會在所有標題中提供每個必要標題的值 Experience Platform API呼叫,如下所示:
{ACCESS_TOKEN}
{API_KEY}
{ORG_ID}
中的資源 Experience Platform 可隔離至特定的虛擬沙箱。 在請求中 Platform API中,您可以指定在其中執行作業的沙箱名稱和ID。 這些是選用引數。
{SANDBOX_NAME}
如需中沙箱的詳細資訊 Experience Platform,請參閱 沙箱概述檔案.
包含裝載(POST、PUT、PATCH)的所有請求都需要額外的媒體型別標頭:
application/json
在本教學課程中,您可以找到所有API操作的隨附參考檔案。 請參閱 Flow Service - Adobe Developer網站上的目的地API檔案. 建議您同時使用本教學課程和API參考檔案。
如需在此API教學課程中會遇到的辭彙說明,請參閱 字彙表區段 API參考檔案的底稿。
在開始匯出資料集的工作流程之前,請確定您要將資料集匯出到的目的地的連線規格和流程規格ID。 請參考下表。
目标 | 連線規格 | 流量規格 |
---|---|---|
Amazon S3 | 4fce964d-3f37-408f-9778-e597338a21ee |
269ba276-16fc-47db-92b0-c1049a3c131f |
Azure Blob Storage | 6d6b59bf-fb58-4107-9064-4d246c0e5bb2 |
95bd8965-fc8a-4119-b9c3-944c2c2df6d2 |
Azure Data Lake Gen 2(ADLS Gen2) | be2c3209-53bc-47e7-ab25-145db8b873e1 |
17be2013-2549-41ce-96e7-a70363bec293 |
Data Landing Zone(DLZ) | 10440537-2a7b-4583-ac39-ed38d4b848e8 |
cd2fc47e-e838-4f38-a581-8fff2f99b63a |
Google Cloud Storage | c5d93acb-ea8b-4b14-8f53-02138444ae99 |
585c15c4-6cbf-4126-8f87-e26bff78b657 |
SFTP | 36965a81-b1c6-401b-99f8-22508f1e6a26 |
354d6aad-4754-46e4-a576-1b384561c440 |
您需要這些ID來建構各種 Flow Service 實體。 您亦需參考 Connection Spec 自身來設定特定圖元,以便您擷取 Connection Spec 從 Flow Service APIs. 請參閱以下範例,擷取表格中所有目的地的連線規格:
请求
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs/4fce964d-3f37-408f-9778-e597338a21ee' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'
响应
{
"items": [
{
"id": "4fce964d-3f37-408f-9778-e597338a21ee",
"name": "Amazon S3",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
//...
请求
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs/6d6b59bf-fb58-4107-9064-4d246c0e5bb2' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'
响应
{
"items": [
{
"id": "6d6b59bf-fb58-4107-9064-4d246c0e5bb2",
"name": "Azure Blob Storage",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
//...
请求
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs/be2c3209-53bc-47e7-ab25-145db8b873e1' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'
响应
{
"items": [
{
"id": "be2c3209-53bc-47e7-ab25-145db8b873e1",
"name": "Azure Data Lake Gen2",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
//...
请求
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs/10440537-2a7b-4583-ac39-ed38d4b848e8' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'
响应
{
"items": [
{
"id": "10440537-2a7b-4583-ac39-ed38d4b848e8",
"name": "Data Landing Zone",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
//...
请求
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs/c5d93acb-ea8b-4b14-8f53-02138444ae99' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'
响应
{
"items": [
{
"id": "c5d93acb-ea8b-4b14-8f53-02138444ae99",
"name": "Google Cloud Storage",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
//...
请求
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs/36965a81-b1c6-401b-99f8-22508f1e6a26' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'
响应
{
"items": [
{
"id": "36965a81-b1c6-401b-99f8-22508f1e6a26",
"name": "SFTP",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
//...
請依照下列步驟,將資料集資料流設定為雲端儲存空間目的地。 對於某些步驟,不同雲端儲存目的地的請求和回應會有所不同。 在這些情況下,請使用頁面上的索引標籤,擷取您要連線及匯出資料集的目標的特定請求和回應。 請務必使用正確的 connection spec 和 flow spec ,以取得您正在設定的目的地。
若要擷取符合啟用資格的資料集清單,請從對以下端點進行API呼叫開始。
请求
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs/23598e46-f560-407b-88d5-ea6207e49db0/configs?outputType=activationDatasets&outputField=datasets&start=0&limit=20&properties=name,state' \
--header 'accept: application/json' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'
請注意,若要擷取合格的資料集,請 connection spec 請求URL中使用的ID必須是資料湖來源連線規格ID, 23598e46-f560-407b-88d5-ea6207e49db0
,以及兩個查詢引數 outputField=datasets
和 outputType=activationDatasets
必須指定。 所有其他查詢引數均為 目錄服務API.
响应
{
"items": [
{
"id": "5ef3e324052581191aa6a466",
"name": "AAM Authenticated Profiles Meta Data",
"description": "Activation profile export dataset",
"fileDescription": {
"persisted": true,
"containerFormat": "parquet",
"format": "parquet"
},
"aspect": "production",
"state": "DRAFT"
},
{
"id": "5ef3e3259ad2a1191ab7dd7d",
"name": "AAM Devices Data",
"description": "Activation profile export dataset",
"fileDescription": {
"persisted": true,
"containerFormat": "parquet",
"format": "parquet"
},
"aspect": "production",
"state": "DRAFT"
},
{
"id": "5ef3e325582424191b1beb42",
"name": "AAM Devices Profile Meta Data",
"description": "Activation profile export dataset",
"fileDescription": {
"persisted": true,
"containerFormat": "parquet",
"format": "parquet"
},
"aspect": "production",
"state": "DRAFT"
},
{
"id": "5ef3e328582424191b1beb44",
"name": "AAM Realtime",
"description": "Activation profile export dataset",
"fileDescription": {
"persisted": true,
"containerFormat": "parquet",
"format": "parquet"
},
"aspect": "production",
"state": "DRAFT"
},
{
"id": "5ef3e328fe742a191b2b3ea5",
"name": "AAM Realtime Profile Updates",
"description": "Activation profile export dataset",
"fileDescription": {
"persisted": true,
"containerFormat": "parquet",
"format": "parquet"
},
"aspect": "production",
"state": "DRAFT"
}
],
"pageInfo": {
"start": 0,
"end": 4,
"total": 149,
"hasNext": true
}
}
成功的回應包含符合啟用條件的資料集清單。 這些資料集可在下一個步驟中建構來源連線時使用。
如需每個傳回資料集的不同回應引數相關資訊,請參閱 資料集API開發人員檔案.
擷取您要匯出的資料集清單後,您可以使用這些資料集ID建立來源連線。
请求
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/sourceConnections' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Connecting to Data Lake",
"description": "Data Lake source connection to export datasets",
"connectionSpec": {
"id": "23598e46-f560-407b-88d5-ea6207e49db0", // this connection spec ID is always the same for Source Connections
"version": "1.0"
},
"params": {
"datasets": [ // datasets to activate
{
"dataSetId": "5ef3e3259ad2a1191ab7dd7d",
"name": "AAM Devices Data"
}
]
}
}'
响应
{
"id": "900df191-b983-45cd-90d5-4c7a0326d650",
"etag": "\"0500ebe1-0000-0200-0000-63e28d060000\""
}
成功的回應會傳回ID (id
)的來源連線,以及 etag
. 記下來源連線ID,因為稍後建立資料流時會需要它。
另請記住:
基礎連線會將認證安全地儲存到您的目的地。 根據目的地型別,針對該目的地進行驗證所需的認證可能會有所不同。 若要尋找這些驗證引數,請先擷取 connection spec 區段中說明的所需目的地 收集連線規格和流程規格 然後檢視 authSpec
回應。 請參考下列標籤 authSpec
所有支援目的地的屬性。
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例提供「 」中驗證引數的位置的其他資訊 connection spec.
{
"items": [
{
"id": "4fce964d-3f37-408f-9778-e597338a21ee",
"name": "Amazon S3",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [ // describes the authentication parameters
{
"name": "Access Key",
"type": "KeyBased",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "Defines auth params required for connecting to amazon-s3",
"type": "object",
"properties": {
"s3AccessKey": {
"description": "Access key id",
"type": "string",
"pattern": "^[A-Z2-7]{20}$"
},
"s3SecretKey": {
"description": "Secret access key for the user account",
"type": "string",
"format": "password",
"pattern": "^[A-Za-z0-9\/\\+]{40}$"
}
},
"required": [
"s3SecretKey",
"s3AccessKey"
]
}
}
],
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例提供「 」中驗證引數的位置的其他資訊 connection spec.
{
"items": [
{
"id": "6d6b59bf-fb58-4107-9064-4d246c0e5bb2",
"name": "Azure Blob Storage",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [ // describes the authentication parameters
{
"name": "ConnectionString",
"type": "ConnectionString",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "Connection String for Azure Blob based destinations",
"type": "object",
"properties": {
"connectionString": {
"description": "connection string for login",
"type": "string",
"format": "password"
}
},
"required": [
"connectionString"
]
}
}
],
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例提供「 」中驗證引數的位置的其他資訊 connection spec.
{
"items": [
{
"id": "be2c3209-53bc-47e7-ab25-145db8b873e1",
"name": "Azure Data Lake Gen2",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [ // describes the authentication parameters
{
"name": "Azure Service Principal Auth",
"type": "AzureServicePrincipal",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "defines auth params required for connecting to adlsgen2 using service principal",
"type": "object",
"properties": {
"url": {
"description": "Endpoint for Azure Data Lake Storage Gen2.",
"type": "string"
},
"servicePrincipalId": {
"description": "Service Principal Id to connect to ADLSGen2.",
"type": "string"
},
"servicePrincipalKey": {
"description": "Service Principal Key to connect to ADLSGen2.",
"type": "string",
"format": "password"
},
"tenant": {
"description": "Tenant information(domain name or tenant ID).",
"type": "string"
}
},
"required": [
"servicePrincipalKey",
"url",
"tenant",
"servicePrincipalId"
]
}
}
],
//...
資料登陸區域目的地不需要 auth spec.
{
"items": [
{
"id": "10440537-2a7b-4583-ac39-ed38d4b848e8",
"name": "Data Landing Zone",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [],
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例提供「 」中驗證引數的位置的其他資訊 connection spec.
{
"items": [
{
"id": "c5d93acb-ea8b-4b14-8f53-02138444ae99",
"name": "Google Cloud Storage",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [ // describes the authentication parameters
{
"name": "Google Cloud Storage authentication credentials",
"type": "GoogleCloudStorageAuth",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "defines auth params required for connecting to google cloud storage connector.",
"type": "object",
"properties": {
"accessKeyId": {
"description": "Access Key Id for the user account",
"type": "string"
},
"secretAccessKey": {
"description": "Secret Access Key for the user account",
"type": "string",
"format": "password"
}
},
"required": [
"accessKeyId",
"secretAccessKey"
]
}
}
],
//...
SFTP目的地在 auth spec,因為它同時支援密碼和SSH金鑰驗證。
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例提供「 」中驗證引數的位置的其他資訊 connection spec.
{
"items": [
{
"id": "36965a81-b1c6-401b-99f8-22508f1e6a26",
"name": "SFTP",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [ // describes the authentication parameters
{
"name": "SFTP with Password",
"type": "SFTP",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "defines auth params required for connecting to sftp locations with a password",
"type": "object",
"properties": {
"domain": {
"description": "Domain of server",
"type": "string"
},
"username": {
"description": "Username",
"type": "string"
},
"password": {
"description": "Password",
"type": "string",
"format": "password"
}
},
"required": [
"password",
"domain",
"username"
]
}
},
{
"name": "SFTP with SSH Key",
"type": "SFTP",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"description": "defines auth params required for connecting to sftp locations using SSH Key",
"type": "object",
"properties": {
"domain": {
"description": "Domain of server",
"type": "string"
},
"username": {
"description": "Username",
"type": "string"
},
"sshKey": {
"description": "Base64 string of the private SSH key",
"type": "string",
"format": "password",
"contentEncoding": "base64",
"uiAttributes": {
"tooltip": {
"id": "platform_destinations_connect_sftp_ssh",
"fallbackUrl": "http://www.adobe.com/go/destinations-sftp-connection-parameters-en "
}
}
}
},
"required": [
"sshKey",
"domain",
"username"
]
}
}
],
//...
使用驗證規格中指定的屬性(即 authSpec
(從回應),您可以使用每個目的地型別特有的必要認證來建立基本連線,如下列範例所示:
请求
有關如何取得所需驗證認證的資訊,請參閱 驗證至目的地 Amazon S3目的地檔案頁面的區段。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'accept: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: <API-KEY>' \
--header 'x-gw-ims-org-id: <IMS-ORG-ID>' \
--header 'x-sandbox-name: <SANDBOX-NAME>' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "Amazon S3 Base Connection",
"auth": {
"specName": "Access Key",
"params": {
"s3SecretKey": "<Add secret key>",
"s3AccessKey": "<Add access key>"
}
},
"connectionSpec": {
"id": "4fce964d-3f37-408f-9778-e597338a21ee", // Amazon S3 connection spec
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需驗證認證的資訊,請參閱 驗證至目的地 Azure Blob儲存體目的地檔案頁面的區段。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'accept: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: <API-KEY>' \
--header 'x-gw-ims-org-id: <IMS-ORG-ID>' \
--header 'x-sandbox-name: <SANDBOX-NAME>' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "Azure Blob Storage Base Connection",
"auth": {
"specName": "ConnectionString",
"params": {
"connectionString": "<Add Azure Blob connection string>"
}
},
"connectionSpec": {
"id": "6d6b59bf-fb58-4107-9064-4d246c0e5bb2", // Azure Blob Storage connection spec
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需驗證認證的資訊,請參閱 驗證至目的地 Azure Data Lake Gen 2 (ADLS Gen2)目的地檔案頁面的區段。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'accept: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: <API-KEY>' \
--header 'x-gw-ims-org-id: <IMS-ORG-ID>' \
--header 'x-sandbox-name: <SANDBOX-NAME>' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "Azure Data Lake Gen 2(ADLS Gen2) Base Connection",
"auth": {
"specName": "Azure Service Principal Auth",
"params": {
"servicePrincipalKey": "<Add servicePrincipalKey>",
"url": "<Add url>",
"tenant": "<Add tenant>",
"servicePrincipalId": "<Add servicePrincipalId>"
}
},
"connectionSpec": {
"id": "be2c3209-53bc-47e7-ab25-145db8b873e1", // Azure Data Lake Gen 2(ADLS Gen2) connection spec
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
資料登陸區域目的地不需要驗證認證。 如需詳細資訊,請參閱 驗證至目的地 資料登陸區目的地檔案頁面的區段。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'accept: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: <API-KEY>' \
--header 'x-gw-ims-org-id: <IMS-ORG-ID>' \
--header 'x-sandbox-name: <SANDBOX-NAME>' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "Data Landing Zone(DLZ) Base Connection"
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需驗證認證的資訊,請參閱 驗證至目的地 Google雲端儲存空間目的地檔案頁面的區段。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'accept: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: <API-KEY>' \
--header 'x-gw-ims-org-id: <IMS-ORG-ID>' \
--header 'x-sandbox-name: <SANDBOX-NAME>' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "Google Cloud Storage Base Connection",
"auth": {
"specName": "Google Cloud Storage authentication credentials",
"params": {
"accessKeyId": "<Add accessKeyId>",
"secretAccessKey": "<Add secret Access Key>"
}
},
"connectionSpec": {
"id": "c5d93acb-ea8b-4b14-8f53-02138444ae99", // Google Cloud Storage connection spec
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需驗證認證的資訊,請參閱 驗證至目的地 SFTP目的地檔案頁面的區段。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'accept: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: <API-KEY>' \
--header 'x-gw-ims-org-id: <IMS-ORG-ID>' \
--header 'x-sandbox-name: <SANDBOX-NAME>' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "SFTP with password Base Connection",
"auth": {
"specName": "SFTP with Password",
"params": {
"domain": "<Add domain>",
"username": "<Add username>",
"password": "<Add password>"
}
},
"connectionSpec": {
"id": "36965a81-b1c6-401b-99f8-22508f1e6a26", // SFTP connection spec
"version": "1.0"
}
}'
有關如何取得所需驗證認證的資訊,請參閱 驗證至目的地 SFTP目的地檔案頁面的區段。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'accept: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: <API-KEY>' \
--header 'x-gw-ims-org-id: <IMS-ORG-ID>' \
--header 'x-sandbox-name: <SANDBOX-NAME>' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "SFTP with SSH key Base Connection",
"auth": {
"specName": "SFTP with SSH Key",
"params": {
"domain": "<Add domain>",
"username": "<Add username>",
"sshKey": "<Add SSH key>"
}
},
"connectionSpec": {
"id": "36965a81-b1c6-401b-99f8-22508f1e6a26", // SFTP connection spec
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
記下回應中的連線ID。 建立目標連線時,下個步驟將需要此ID。
接下來,您需要建立目標連線,以儲存資料集的匯出引數。 匯出引數包括位置、檔案格式、壓縮和其他細節。 請參閱 targetSpec
目的地的連線規格中提供的屬性,以瞭解每個目的地型別的支援屬性。 請參考下列標籤 targetSpec
所有支援目的地的屬性。
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例中,提供在何處尋找 target spec 連線規格中的引數。 您也可以在以下範例中看到目標引數為 not 適用於資料集匯出目的地。
{
"items": [
{
"id": "4fce964d-3f37-408f-9778-e597338a21ee",
"name": "Amazon S3",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [...],
"encryptionSpecs": [...],
"targetSpec": { // describes the target connection parameters
"name": "User based target",
"type": "UserNamespace",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"bucketName": {
"title": "Bucket name",
"description": "Bucket name",
"type": "string",
"pattern": "(?=^.{3,63}$)(?!^(\\d+\\.)+\\d+$)(^(([a-z0-9]|[a-z0-9][a-z0-9\\-]*[a-z0-9])\\.)*([a-z0-9]|[a-z0-9][a-z0-9\\-]*[a-z0-9])$)",
"uiAttributes": {
"tooltip": {
"id": "platform_destinations_connect_s3_bucket",
"fallbackUrl": "http://www.adobe.com/go/destinations-amazon-s3-connection-parameters-en"
}
}
},
"path": {
"title": "Folder path",
"description": "Output path for copying files",
"type": "string",
"pattern": "^[0-9a-zA-Z\/\\!\\-_\\.\\*\\''\\(\\)]*((\\%SEGMENT_(NAME|ID)\\%)?\/?)+$",
"uiAttributes": {
"tooltip": {
"id": "platform_destinations_connect_s3_folderpath",
"fallbackUrl": "http://www.adobe.com/go/destinations-amazon-s3-connection-parameters-en"
}
}
},
"fileType": {...}, // not applicable to dataset destinations
"datasetFileType": {
"conditional": {
"field": "flowSpec.attributes._workflow",
"operator": "CONTAINS",
"value": "DATASETS"
},
"title": "File Type",
"description": "Select file format",
"type": "string",
"enum": [
"JSON",
"PARQUET"
]
},
"csvOptions": {...}, // not applicable to dataset destinations
"compression": {
"title": "Compression format",
"description": "Select the desired file compression format.",
"type": "string",
"enum": [
"NONE",
"GZIP"
]
}
},
"required": [
"bucketName",
"path",
"datasetFileType",
"compression",
"fileType"
]
}
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例中,提供在何處尋找 target spec 連線規格中的引數。 您也可以在以下範例中看到目標引數為 not 適用於資料集匯出目的地。
{
"items": [
{
"id": "6d6b59bf-fb58-4107-9064-4d246c0e5bb2",
"name": "Azure Blob Storage",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [...],
"encryptionSpecs": [...],
"targetSpec": { // describes the target connection parameters
"name": "User based target",
"type": "UserNamespace",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"path": {
"title": "Folder path",
"description": "Output path (relative) indicating where to upload the data",
"type": "string",
"pattern": "^[0-9a-zA-Z\/\\!\\-_\\.\\*\\'\\(\\)]+$"
},
"container": {
"title": "Container",
"description": "Container within the storage where to upload the data",
"type": "string",
"pattern": "^[a-z0-9](?!.*--)[a-z0-9-]{1,61}[a-z0-9]$"
},
"fileType": {...}, // not applicable to dataset destinations
"datasetFileType": {
"conditional": {
"field": "flowSpec.attributes._workflow",
"operator": "CONTAINS",
"value": "DATASETS"
},
"title": "File Type",
"description": "Select file format",
"type": "string",
"enum": [
"JSON",
"PARQUET"
]
},
"csvOptions": {...}, // not applicable to dataset destinations
"compression": {
"title": "Compression format",
"description": "Select the desired file compression format.",
"type": "string",
"enum": [
"NONE",
"GZIP"
]
}
},
"required": [
"container",
"path",
"datasetFileType",
"compression",
"fileType"
]
}
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例中,提供在何處尋找 target spec 連線規格中的引數。 您也可以在以下範例中看到目標引數為 not 適用於資料集匯出目的地。
{
"items": [
{
"id": "be2c3209-53bc-47e7-ab25-145db8b873e1",
"name": "Azure Data Lake Gen2",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [...],
"encryptionSpecs": [...],
"targetSpec": { // describes the target connection parameters
"name": "User based target",
"type": "UserNamespace",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"path": {
"title": "Folder path",
"description": "Enter the path to your Azure Data Lake Storage folder",
"type": "string"
},
"fileType": {...}, // not applicable to dataset destinations
"datasetFileType": {
"conditional": {
"field": "flowSpec.attributes._workflow",
"operator": "CONTAINS",
"value": "DATASETS"
},
"title": "File Type",
"description": "Select file format",
"type": "string",
"enum": [
"JSON",
"PARQUET"
]
},
"csvOptions":{...}, // not applicable to dataset destinations
"compression": {
"title": "Compression format",
"description": "Select the desired file compression format.",
"type": "string",
"enum": [
"NONE",
"GZIP"
]
}
},
"required": [
"path",
"datasetFileType",
"compression",
"fileType"
]
}
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例中,提供在何處尋找 target spec 連線規格中的引數。 您也可以在以下範例中看到目標引數為 not 適用於資料集匯出目的地。
"items": [
{
"id": "10440537-2a7b-4583-ac39-ed38d4b848e8",
"name": "Data Landing Zone",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [],
"encryptionSpecs": [],
"targetSpec": { // describes the target connection parameters
"name": "User based target",
"type": "UserNamespace",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"path": {
"title": "Folder path",
"description": "Enter the path to your Azure Data Lake Storage folder",
"type": "string"
},
"fileType": {...}, // not applicable to dataset destinations
"datasetFileType": {
"conditional": {
"field": "flowSpec.attributes._workflow",
"operator": "CONTAINS",
"value": "DATASETS"
},
"title": "File Type",
"description": "Select file format",
"type": "string",
"enum": [
"JSON",
"PARQUET"
]
},
"csvOptions": {...}, // not applicable to dataset destinations
"compression": {
"title": "Compression format",
"description": "Select the desired file compression format.",
"type": "string",
"enum": [
"NONE",
"GZIP"
]
}
},
"required": [
"path",
"datasetFileType",
"compression",
"fileType"
]
}
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例中,提供在何處尋找 target spec 連線規格中的引數。 您也可以在以下範例中看到目標引數為 not 適用於資料集匯出目的地。
{
"items": [
{
"id": "c5d93acb-ea8b-4b14-8f53-02138444ae99",
"name": "Google Cloud Storage",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [...],
"encryptionSpecs": [...],
"targetSpec": { // describes the target connection parameters
"name": "User based target",
"type": "UserNamespace",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"bucketName": {
"title": "Bucket name",
"description": "Bucket name",
"type": "string",
"pattern": "(?!^goog.*$)(?!^.*g(o|0)(o|0)gle.*$)(((?=^.{3,63}$)(^([a-z0-9]|[a-z0-9][a-z0-9\\-_]*)[a-z0-9]$))|((?=^.{3,222}$)(?!^(\\d+\\.)+\\d+$)(^(([a-z0-9]{1,63}|[a-z0-9][a-z0-9\\-_]{1,61}[a-z0-9])\\.)*([a-z0-9]{1,63}|[a-z0-9][a-z0-9\\-_]{1,61}[a-z0-9])$)))"
},
"path": {
"title": "Folder path",
"description": "Output path for copying files",
"type": "string",
"pattern": "^[0-9a-zA-Z\/\\!\\-_\\.\\*\\''\\(\\)]*((\\%SEGMENT_(NAME|ID)\\%)?\/?)+$"
},
"fileType": {...}, // not applicable to dataset destinations
"datasetFileType": {
"conditional": {
"field": "flowSpec.attributes._workflow",
"operator": "CONTAINS",
"value": "DATASETS"
},
"title": "File Type",
"description": "Select file format",
"type": "string",
"enum": [
"JSON",
"PARQUET"
]
},
"csvOptions": {...}, // not applicable to dataset destinations
"compression": {
"title": "Compression format",
"description": "Select the desired file compression format.",
"type": "string",
"enum": [
"NONE",
"GZIP"
]
}
},
"required": [
"bucketName",
"path",
"datasetFileType",
"compression",
"fileType"
]
}
//...
請注意醒目提示的行,其中含有內嵌註解 connection spec 以下範例中,提供在何處尋找 target spec 連線規格中的引數。 您也可以在以下範例中看到目標引數為 not 適用於資料集匯出目的地。
{
"items": [
{
"id": "36965a81-b1c6-401b-99f8-22508f1e6a26",
"name": "SFTP",
"providerId": "14e34fac-d307-11e9-bb65-2a2ae2dbcce4",
"version": "1.0",
"authSpec": [...],
"encryptionSpecs": [...],
"targetSpec": { // describes the target connection parameters
"name": "User based target",
"type": "UserNamespace",
"spec": {
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"remotePath": {
"title": "Folder path",
"description": "Enter your folder path",
"type": "string"
},
"fileType": {...}, // not applicable to dataset destinations
"datasetFileType": {
"conditional": {
"field": "flowSpec.attributes._workflow",
"operator": "CONTAINS",
"value": "DATASETS"
},
"title": "File Type",
"description": "Select file format",
"type": "string",
"enum": [
"JSON",
"PARQUET"
]
},
"csvOptions": {...}, // not applicable to dataset destinations
"compression": {
"title": "Compression format",
"description": "Select the desired file compression format.",
"type": "string",
"enum": [
"GZIP",
"NONE"
]
}
},
"required": [
"remotePath",
"datasetFileType",
"compression",
"fileType"
]
},
//...
透過使用上述規格,您可以建構特定於您所需雲端儲存空間目的地的目標連線請求,如下方標籤所示。
请求
有關如何取得所需目標引數的資訊,請參閱 填寫目的地詳細資料 部分 Amazon S3 目的地檔案頁面。
對於其他支援的值 datasetFileType
,請參閱API參考檔案。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Amazon S3 Beta Target Connection",
"baseConnectionId": "<FROM_STEP_CREATE_TARGET_BASE_CONNECTION>",
"params": {
"mode": "Server-to-server",
"bucketName": "your-bucket-name",
"path": "folder/subfolder",
"compression": "NONE",
"datasetFileType": "JSON"
},
"connectionSpec": {
"id": "4fce964d-3f37-408f-9778-e597338a21ee", // Amazon S3 connection spec id
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需目標引數的資訊,請參閱 填寫目的地詳細資料 部分 Azure Blob Storage 目的地檔案頁面。
對於其他支援的值 datasetFileType
,請參閱API參考檔案。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Azure Blob Storage Beta Target Connection",
"baseConnectionId": "<FROM_STEP_CREATE_TARGET_BASE_CONNECTION>",
"params": {
"mode": "Server-to-server",
"container": "your-container-name",
"path": "folder/subfolder",
"compression": "NONE",
"datasetFileType": "JSON"
},
"connectionSpec": {
"id": "6d6b59bf-fb58-4107-9064-4d246c0e5bb2", // Azure Blob Storage connection spec id
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需目標引數的資訊,請參閱 填寫目的地詳細資料 Azure的部分 Data Lake Gen 2(ADLS Gen2) 目的地檔案頁面。
對於其他支援的值 datasetFileType
,請參閱API參考檔案。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Azure Data Lake Gen 2(ADLS Gen2) Target Connection",
"baseConnectionId": "<FROM_STEP_CREATE_TARGET_BASE_CONNECTION>",
"params": {
"mode": "Server-to-server",
"path": "folder/subfolder",
"compression": "NONE",
"datasetFileType": "JSON"
},
"connectionSpec": {
"id": "be2c3209-53bc-47e7-ab25-145db8b873e1", // Azure Data Lake Gen 2(ADLS Gen2) connection spec id
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需目標引數的資訊,請參閱 填寫目的地詳細資料 部分 Data Landing Zone 目的地檔案頁面。
對於其他支援的值 datasetFileType
,請參閱API參考檔案。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Data Landing Zone Target Connection",
"baseConnectionId": "<FROM_STEP_CREATE_TARGET_BASE_CONNECTION>",
"params": {
"mode": "Server-to-server",
"path": "folder/subfolder",
"compression": "NONE",
"datasetFileType": "JSON"
},
"connectionSpec": {
"id": "10440537-2a7b-4583-ac39-ed38d4b848e8", // Data Landing Zone connection spec id
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需目標引數的資訊,請參閱 填寫目的地詳細資料 部分 Google Cloud Storage 目的地檔案頁面。
對於其他支援的值 datasetFileType
,請參閱API參考檔案。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Google Cloud Storage Target Connection",
"baseConnectionId": "<FROM_STEP_CREATE_TARGET_BASE_CONNECTION>",
"params": {
"mode": "Server-to-server",
"bucketName": "your-bucket-name",
"path": "folder/subfolder",
"compression": "NONE",
"datasetFileType": "JSON"
},
"connectionSpec": {
"id": "c5d93acb-ea8b-4b14-8f53-02138444ae99", // Google Cloud Storage connection spec id
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
有關如何取得所需目標引數的資訊,請參閱 填寫目的地詳細資料 SFTP目的地檔案頁面的區段。
對於其他支援的值 datasetFileType
,請參閱API參考檔案。
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "SFTP Target Connection",
"baseConnectionId": "<FROM_STEP_CREATE_TARGET_BASE_CONNECTION>",
"params": {
"mode": "Server-to-server",
"remotePath": "folder/subfolder",
"compression": "NONE",
"datasetFileType": "JSON"
},
"connectionSpec": {
"id": "36965a81-b1c6-401b-99f8-22508f1e6a26", // SFTP connection spec id
"version": "1.0"
}
}'
响应
{
"id": "12401496-2573-4ca7-8137-fef1aeb9dd4c",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
記下回應中的目標連線ID。 建立資料流以匯出資料集時,下個步驟將需要此ID。
目的地設定中的最後一個步驟是設定資料流。 資料流會將先前建立的實體連結在一起,並提供設定資料集匯出排程的選項。 若要建立資料流,請根據您需要的雲端儲存目的地,使用下列裝載,並取代先前步驟中的實體ID。
请求
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/flows' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Activate datasets to an Amazon S3 cloud storage destination",
"description": "This operation creates a dataflow to export datasets to an Amazon S3 cloud storage destination",
"flowSpec": {
"id": "269ba276-16fc-47db-92b0-c1049a3c131f", // Amazon S3 flow spec ID
"version": "1.0"
},
"sourceConnectionIds": [
"<FROM_STEP_CREATE_SOURCE_CONNECTION>"
],
"targetConnectionIds": [
"<FROM_STEP_CREATE_TARGET_CONNECTION>"
],
"transformations": [],
"scheduleParams": { // specify the scheduling info
"interval": 3, // also supports 6, 9, 12 hour increments
"timeUnit": "hour", // also supports "day" for daily increments. Use "interval": 1 when you select "timeUnit": "day"
"startTime": 1675901210 // UNIX timestamp start time (in seconds)
}
}'
响应
{
"id": "eb54b3b3-3949-4f12-89c8-64eafaba858f",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/flows' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Activate datasets to an Azure Blob Storage cloud storage destination",
"description": "This operation creates a dataflow to export datasets to an Azure Blob Storage cloud storage destination",
"flowSpec": {
"id": "95bd8965-fc8a-4119-b9c3-944c2c2df6d2", // Azure Blob Storage flow spec ID
"version": "1.0"
},
"sourceConnectionIds": [
"<FROM_STEP_CREATE_SOURCE_CONNECTION>"
],
"targetConnectionIds": [
"<FROM_STEP_CREATE_TARGET_CONNECTION>"
],
"transformations": [],
"scheduleParams": { // specify the scheduling info
"interval": 3, // also supports 6, 9, 12, 24 hour increments
"timeUnit": "hour",
"startTime": 1675901210 // UNIX timestamp start time(in seconds)
}
}'
响应
{
"id": "eb54b3b3-3949-4f12-89c8-64eafaba858f",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/flows' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Activate datasets to an Azure Data Lake Gen 2(ADLS Gen2) cloud storage destination",
"description": "This operation creates a dataflow to export datasets to an Azure Data Lake Gen 2(ADLS Gen2) cloud storage destination",
"flowSpec": {
"id": "17be2013-2549-41ce-96e7-a70363bec293", // Azure Data Lake Gen 2(ADLS Gen2) flow spec ID
"version": "1.0"
},
"sourceConnectionIds": [
"<FROM_STEP_CREATE_SOURCE_CONNECTION>"
],
"targetConnectionIds": [
"<FROM_STEP_CREATE_TARGET_CONNECTION>"
],
"transformations": [],
"scheduleParams": { // specify the scheduling info
"interval": 3, // also supports 6, 9, 12, 24 hour increments
"timeUnit": "hour",
"startTime": 1675901210 // UNIX timestamp start time(in seconds)
}
}'
响应
{
"id": "eb54b3b3-3949-4f12-89c8-64eafaba858f",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/flows' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Activate datasets to a Data Landing Zone cloud storage destination",
"description": "This operation creates a dataflow to export datasets to a Data Landing Zone cloud storage destination",
"flowSpec": {
"id": "cd2fc47e-e838-4f38-a581-8fff2f99b63a", // Data Landing Zone flow spec ID
"version": "1.0"
},
"sourceConnectionIds": [
"<FROM_STEP_CREATE_SOURCE_CONNECTION>"
],
"targetConnectionIds": [
"<FROM_STEP_CREATE_TARGET_CONNECTION>"
],
"transformations": [],
"scheduleParams": { // specify the scheduling info
"interval": 3, // also supports 6, 9, 12, 24 hour increments
"timeUnit": "hour",
"startTime": 1675901210 // UNIX timestamp start time(in seconds)
}
}'
响应
{
"id": "eb54b3b3-3949-4f12-89c8-64eafaba858f",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/flows' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Activate datasets to a Google Cloud Storage cloud storage destination",
"description": "This operation creates a dataflow to export datasets to a Google Cloud Storage destination",
"flowSpec": {
"id": "585c15c4-6cbf-4126-8f87-e26bff78b657", // Google Cloud Storage flow spec ID
"version": "1.0"
},
"sourceConnectionIds": [
"<FROM_STEP_CREATE_SOURCE_CONNECTION>"
],
"targetConnectionIds": [
"<FROM_STEP_CREATE_TARGET_CONNECTION>"
],
"transformations": [],
"scheduleParams": { // specify the scheduling info
"interval": 3, // also supports 6, 9, 12, 24 hour increments
"timeUnit": "hour",
"startTime": 1675901210 // UNIX timestamp start time(in seconds)
}
}'
响应
{
"id": "eb54b3b3-3949-4f12-89c8-64eafaba858f",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
请求
請注意請求範例中反白的行,其中包含內嵌註解,可提供額外資訊。 將請求複製貼上您選擇的終端機時,移除請求中的內嵌註解。
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/flows' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--data-raw '{
"name": "Activate datasets to an SFTP cloud storage destination",
"description": "This operation creates a dataflow to export datasets to an SFTP cloud storage destination",
"flowSpec": {
"id": "354d6aad-4754-46e4-a576-1b384561c440", // SFTP flow spec ID
"version": "1.0"
},
"sourceConnectionIds": [
"<FROM_STEP_CREATE_SOURCE_CONNECTION>"
],
"targetConnectionIds": [
"<FROM_STEP_CREATE_TARGET_CONNECTION>"
],
"transformations": [],
"scheduleParams": { // specify the scheduling info
"interval": 3, // also supports 6, 9, 12, 24 hour increments
"timeUnit": "hour",
"startTime": 1675901210 // UNIX timestamp start time(in seconds)
}
}'
响应
{
"id": "eb54b3b3-3949-4f12-89c8-64eafaba858f",
"etag": "\"0000d781-0000-0200-0000-63e29f420000\""
}
記下回應中的資料流ID。 擷取資料流執行以驗證成功的日期集匯出時,下個步驟將需要此ID。
若要檢查資料流的執行,請使用資料流執行API:
请求
在擷取資料流執行的請求中,在建立資料流時,將您在上一步驟中取得的資料流ID新增為查詢引數。
curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/runs?property=flowId==eb54b3b3-3949-4f12-89c8-64eafaba858f' \
--header 'accept: application/json' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
响应
{
"items": [
{
"id": "4b7728dd-83c9-4c38-95a4-24ddab545404",
"createdAt": 1675807718296,
"updatedAt": 1675807731834,
"createdBy": "aep_activation_batch@AdobeID",
"updatedBy": "acp_foundation_connectors@AdobeID",
"createdClient": "aep_activation_batch",
"updatedClient": "acp_foundation_connectors",
"sandboxId": "7dfdcd30-0a09-11ea-8ea6-7bf93ce86c28",
"sandboxName": "sand-1",
"imsOrgId": "5555467B5D8013E50A494220@AdobeOrg",
"flowId": "aae5ec63-b0ac-4808-9a44-abf2ea67bd5a",
"flowSpec": {
"id": "615d3489-36d2-4671-9467-4ae1129facd3",
"version": "1.0"
},
"providerRefId": "ba56f98e0c49b572adb249980c39b1c7",
"etag": "\"08005e9e-0000-0200-0000-63e2cbf30000\"",
"metrics": {
"durationSummary": {
"startedAtUTC": 1675807719411,
"completedAtUTC": 1675807719416
},
"sizeSummary": {
"inputBytes": 0
},
"recordSummary": {
"inputRecordCount": 0,
"skippedRecordCount": 0,
"sourceSummaries": [
{
"id": "ea2b1205-4692-49de-b448-ebf75b1d188a",
"inputRecordCount": 0,
"skippedRecordCount": 0,
"entitySummaries": [
{
//...
您可以找到以下相關資訊: 資料流執行API傳回的各種引數 API參考檔案。
本教學課程中的API端點遵循一般Experience PlatformAPI錯誤訊息原則。 請參閱 API狀態代碼 和 請求標頭錯誤 (位於Platform疑難排解指南中),以取得有關解釋錯誤回應的詳細資訊。
依照本教學課程所述,您已成功將Platform連線至您偏好的批次雲端儲存體目的地之一,並設定資料流至個別目的地以匯出資料集。 如需詳細資訊,請參閱下列頁面,例如如何使用流量服務API編輯現有資料流: