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Home > SQL Server 2016, SQL Server Questions > Parsing nested JSON in customized SQL Tabular format – MSDN TSQL forum

Parsing nested JSON in customized SQL Tabular format – MSDN TSQL forum


 
–> Question:

Basically I have a JSON file output that I want to put into a SQL table, but no matter what syntax I try it doesn’t seem to be working.

This is my sample JSON file contents:

{
   "destination_addresses":[
      "Orlando, FL, USA"
   ],
   "origin_addresses":[
      "New York, NY, USA"
   ],
   "rows":[
      {
         "elements":[
            {
               "distance":{
                  "text":"1,072 mi",
                  "value":1725756
               },
               "duration":{
                  "text":"15 hours 40 mins",
                  "value":56405
               },
               "status":"OK"
            }
         ]
      }
   ],
   "status":"OK"
}

What I want is a SQL table that has 2 columns, column 1 will be item names (Destination Address,Origin Address, Distance Text, Distance Value, Duration Text & Duration Value) and column 1 will be the actual data.

I can get OPENJSON to do what I want for destination address & origin address but when I try and using OPENJSON to read the nested items that exist in ‘rows – > elements’ I can’t seem to pick them up. Can anyone help with the right syntax?
 

–> Answer:

declare @str varchar(4000) = 
N'{
   "destination_addresses":[
      "Orlando, FL, USA"
   ],
   "origin_addresses":[
      "New York, NY, USA"
   ],
   "rows":[
      {
         "elements":[
            {
               "distance":{
                  "text":"1,072 mi",
                  "value":1725756
               },
               "duration":{
                  "text":"15 hours 40 mins",
                  "value":56405
               },
               "status":"OK"
            }
         ]
      }
   ],
   "status":"OK"
}'

SELECT 
	CONCAT_WS(' ',Destination_Addresses, Origin_Addresses,Distance_Text,
		Distance_Value,Duration_Text,Duration_Value) as Col1
	,@str as Col2
FROM OPENJSON (@str)
WITH (
    Destination_Addresses    VARCHAR(1000) '$.destination_addresses[0]',
    Origin_Addresses   VARCHAR(1000) '$.origin_addresses[0]',
    Distance_Text    VARCHAR(1000) '$.rows[0].elements[0].distance.text',
    Distance_Value   VARCHAR(1000) '$.rows[0].elements[0].distance.value',
    Duration_Text    VARCHAR(1000) '$.rows[0].elements[0].duration.text',
    Duration_Value   VARCHAR(1000) '$.rows[0].elements[0].duration.value'
) AS Orders

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