Importing JSON data into SQL Server; losing decimal precision and scale - json

Question

I'm importing an array of JSON documents, like the following:
{
"_id": {
"$oid": "6092e24247f3024d478902c2"
},
"startSearch": "2021-05-05T18:20:50.132Z",
"Inst_ID": 856,
"hostname": "localhost",
"searchpath": "/Account/Main/_LookupOptimize",
"Params": {
"AccountStatusDisplay": [
"Active",
"Out For Repo",
"Repossessed"
]
},
"endSearch": "2021-05-05T18:20:53.993Z",
"elapsedTime": 3.861,
"totalRecordsFound": 1988
}
I'm importing them into a local instance of SQL Server 2019 like so:
Declare #JSON nvarchar(max)
SELECT #JSON=BulkColumn
FROM OPENROWSET (BULK 'C:\temp\QueueSearch.JSON', SINGLE_CLOB) import
INSERT INTO myJSON
SELECT *
FROM OPENJSON (#JSON)
WITH
(
[_id] nvarchar(max),
[startSearch] datetime,
[Inst_ID] int,
[hostname] nvarchar(80),
[searchpath] nvarchar(50),
[Params] nvarchar(max),
[endSearch] datetime,
[elapsedTime] NUMERIC(10,4),
[totalRecordsFound] int
)
My problem is that the elapsedTime values are being rounded off to integers. (The _id values aren't getting imported either, but first things first.) I'm probably missing something really simple, but how can I preserve the accuracy of my elapsedTime values? Thanks in advance!

Answer 1

Verify the data type of elapsedTime is numeric(10,4) and explicitly map the columns in INSERT to make sure that you're inserting elapsedTime from the JSON into the elapsedTime column.
INSERT INTO myJSON([_id],startSearch,Inst_ID,hostname,searchpath,Params,endSearch,elapsedTime,totalRecordsFound)
SELECT *
FROM OPENJSON (#JSON)
WITH
(
[_id] nvarchar(max),
[startSearch] datetime,
[Inst_ID] int,
[hostname] nvarchar(80),
[searchpath] nvarchar(50),
[Params] nvarchar(max),
[endSearch] datetime,
[elapsedTime] NUMERIC(10,4),
[totalRecordsFound] int
)