First thing first, learn basics of Recurring integration from below URL:
Download data [Dequeue]
Setup recurring integration export project
- In the System administration workspace (not the System administration module), select the Data Management IT workspace.
- In the work space, on the Recurring data job tab, select the recurring job to view the details. The Manage scheduled data jobs page contains a grid that lists any messages that are waiting in the queue. Therefore, you can monitor messages and the processing status.
In code snippets below GUID for recurring integration means:
Activity ID, on the Manage scheduled data jobs page, ID field [GUID]
Export data
GET [Dynamics URI with https]/api/connector/dequeue/[GUID for recurring integration] HTTP/1.1
OData-Version: 4.0
OData-MaxVersion: 4.0
Content-Type: application/json;odata.metadata=minimal
Accept: application/json;odata.metadata=minimal
Accpet-Charset: UTF-8
Authorization: Bearer [access token]
Host: [Dynamics URI without https]
Download data package
GET [URI return from dequeue request] HTTP/1.1
OData-Version: 4.0
OData-MaxVersion: 4.0
Content-Type: application/json;odata.metadata=minimal
Accept: application/json;odata.metadata=minimal
Accpet-Charset: UTF-8
Authorization: Bearer [access token]
Host: [Dynamics URI without https]
Acknowledge data package download
POST [Dynamics URI with https]
/api/connector/ack/[GUID for recurring integration] HTTP/1.1
OData-Version: 4.0
OData-MaxVersion: 4.0
Content-Type: application/json;odata.metadata=minimal
Accept: application/json;odata.metadata=minimal
Accpet-Charset: UTF-8
Authorization: Bearer [access token]
Host: [Dynamics URI without https]
{
"CorrelationId": "[return from dequeue]",
"PopReceipt": "[return from dequeue]",
"DownloadLocation": "[location from dequeue]"
}
Upload data [Enqueue]
POST [Dynamics URI with https]/api/connector/enqueue/[guid for recurring integration]?entity=General%20journal&company=usmf HTTP/1.1
OData-Version: 4.0
OData-MaxVersion: 4.0
Accept: application/json;odata.metadata=minimal
Accpet-Charset: UTF-8
Authorization: Bearer [access token]
Host: [Dynamics URI without https]
Request body {xml data}
Get message status
POST /data/DataManagementDefinitionGroups/Microsoft.Dynamics.DataEntities.GetMessageStatus
BODY
{
"messageId":""
}
Best Dissertation Writing Services Uk
ReplyDeleteManuscript writing help
Research proposal writing help
Dissertation Statistical Analysis Help
Assignment writing Services
Research Methodology writing Help
Best Essay writing Help
MBA Finance Dissertation Writing Help
MBA Management Dissertation Writing Help
Computer Science Dissertation Writing Help
ReplyDeleteWe provide Classroom training on IBM Certified Data Science Course in Hyderabad at Hyderabad for the individuals who believe hand-held training. We teach as per the Indian Standard Time (IST) with In-depth practical Knowledge on each topic in classroom training, 80 – 90 Hrs of Real-time practical training classes. There are different slots available on weekends or weekdays according to your choices. We are also available over the call or mail or direct interaction with the trainer for active learning.
ReplyDeleteFor any queries feel free to Call/WhatsApp us on +91-9951666670 or mail at info@innomatics.in
Become a Data science expert with Innomatics where you get a great experience and better knowledge.
ReplyDeletedata science course in hyderabad
Im obliged for the blog article.Thanks Again. Awesome.
ReplyDelete. net online training
dot net online training hydarabad
Become a data science expert by joining AI Patasala’s Data Science Course in Hyderabad, where you can learn more about data science concepts with practical Knowledge.
ReplyDeleteOnline Data Science Training in Hyderabad
Online Data Science Course in Hyderabad