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Update Parent and Child

The example below demonstrates how the Deep Save API can be used to update both the parent and the child objects in the database. The sample retrieves a Product and the related Manufacturer objects then it changes property values in both objects and saves the changes with a single Deep Save API call. The objects before the code runs are:

The Product object:

product-with-manuf-before-deepsave

The Manufacturer object:

manuf-before-deepsave

curl \  
-H Content-Type:application/json \  
-X PUT  \  
-d "{  
  \"objectId\":"748471BF-F2E7-4AF0-A60C-68291B52999F\",  
  \"price\":1300,  
  \"manufacturer\" : {  
     \"objectId\":\"8494BFCC-964E-4F7F-95E3-2497C5D34011\",  
     \"industry\":\"Computer Hardware, Software and Consumer Electronics\"   
  }  
}" \  
-v https://xxxx.backendless.app/api/data/Product/deep-save

Server response:

{
  "price": 1300,
  "created": 1624090691000,
  "name": "iPhone X",
  "___class": "Product",
  "ownerId": null,
  "updated": 1624094140000,
  "objectId": "748471BF-F2E7-4AF0-A60C-68291B52999F",
  "manufacturer": {
    "created": 1624090692000,
    "name": "Apple",
    "___class": "Manufacturer",
    "industry": "Computer Hardware, Software and Consumer Electronics",
    "ownerId": null,
    "updated": 1624094140000,
    "objectId": "8494BFCC-964E-4F7F-95E3-2497C5D34011"
  }
}

After the sample code runs, the objects in the database will appear as shown below:

The Product object:

product-after-deepsave

The Manufacturer object:

manuf-after-deepsave

Codeless Reference

data_api_deep_save_1

where:

Argument                Description
table name Specify the name of the data table where you want to update an existing record.
object An object to update in the database. Object properties must match the names of the table columns.
return result Optional parameter. When this box is checked, the operation returns the updated object.

The Deep Save API can be used to update both the parent and the child objects in the database.

Returns the updated object.

Consider the structure of the data table called Product. This table contains three columns: manufacturer, name and price. Values in the first column are associated with the Manufacturer data table where the manufacturer object with the corresponding information is stored, values in the second column represent the name of the product, while the third column stores the price of the product.

data_service_update_parent_and_child_1

Below you can find the structure of the Manufacturer data table where the manufacturer information is stored.

data_service_update_parent_and_child_2

The example below sets the new value 1300 in the "price" column of the parent object which is stored in the "Product" data table, and also it updates the value in the "industry" column of the related child object which is stored in the "Manufacturer" data table. The updated value for the "industry" column is: "Computer Hardware, Software and Consumer Electronics".

data_service_update_parent_and_child_3

After the Codeless logic runs, the value in the price column of the parent object gets updated to 1300.

data_service_update_parent_and_child_4

The value stored in the industry column of the related child object also gets updated.

data_service_update_parent_and_child_5

The result of this operation will look as shown below after the Codeless logic runs:

data_service_update_parent_and_child_6