无法将 json 数组导入 azure 数据工厂中的 sql 表

Question

I have a JSON array similar to this.

 {
"first":
    {
    "heading":{
    "row":[
    {
    "@captain" :"dhoni",
    "@runs":"50"
    },
    {
    "@captain" :"Kohli",
    "@runs":"150"
    }
    ]
    }
    }
    }

But I am not sure how to add a sql script to import this JSON to my sql table. Can anyone help on this

Answer 1

You can insert the rows extracted from the json returned by your API call with the help of for each activity and script activity.

• I have taken the given sample json as a parameter (Object type). First create a for each activity. The value of items in for each activity will be as follows:

@pipeline().parameters.my_json['first']['heading']['row']

• When we do this, for each iteration, the current item will be a row extracted from JSON that needs to be inserted into sql table.

• Now inside for each, create a script activity. Here, write a query to insert into the destination SQL table. You can use the following as your query

insert into dbo.player(captain,runs) values ('@{item()['@captain']}','@{item()['@runs']}')

Another approach using stored procedure:

• Create the following stored procedure in your database.

create  or  alter  procedure insert_player @json varchar(max)
as
begin
insert  into player SELECT  *  FROM OPENJSON(@json,'$.first.heading.row') with ([@captain] varchar(30),[@runs] varchar(30))
end

• Create a single stored procedure activity in data factory pipeline. Select the required linked service, the above created stored procedure and click import under stored procedure parameter .

@string(pipeline().parameters.my_json)

• NOTE: For me it is pipeline parameter, in your case it will be the lookup output that produced the above given sample JSON.

• When I debug the pipeline, it runs successfully and inserts the values into the respective table.