Updating nested JSON sub-arrays by various keys - json

Question

I am using SQL Server 2016 version, I can't tell if this is something specific to this version or whether I am missing something. I am trying to update a common property, node_status, inside an array of objects. The SQL update I am running to update node_status where is_node_complete: false is only updating the first index it finds rather than all that fit the query for node_status.
The JSON structure inside column json_doc in some_table
{
"personnel": [
{
"node_id": "FDA64E9F-3BAC-45FA-8819-8A086D96B359",
"node_data": {
"is_approved": null,
"is_node_complete": false,
"node_status": "requested"
}
},
{
"node_id": "AF829232-32F4-464B-8817-50ED24447AA4",
"node_data": {
"is_approved": null,
"is_node_complete": false,
"node_status": "requested"
}
},
{
"node_id": "E18F8197-B16D-4E0B-8EE9-DBF5B23A8EB5",
"node_data": {
"is_approved": true,
"is_node_complete": true,
"node_status": "complete"
}
},
{
"node_id": "286700AE-81C8-4F4F-955D-D8DCE44ED30C",
"node_data": {
"is_approved": false,
"is_node_complete": true,
"node_status": "complete"
}
},
{
"node_id": "BC7BD024-70F1-459B-BDBF-945A3EED666C",
"node_data": {
"is_approved": null,
"is_node_complete": false,
"node_status": "requested"
}
}
]
}
My query to update column
DECLARE #rec_id INT = 1;;
WITH personnel_CTE
AS (
SELECT *
FROM some_table AS acm
CROSS APPLY openjson(json_doc) WITH (personnel_node NVARCHAR(MAX) '$.personnel' AS json)
CROSS APPLY openjson(personnel_node) pn
WHERE id = #rec_id
AND cast(json_value(pn.value, '$.node_data.is_node_complete') AS BIT) = 0
)
UPDATE personnel_CTE
SET json_doc = json_modify(json_doc, '$.personnel[' + personnel_CTE.[key] + '].node_data.node_status', 'reviewer_assigned')
The guids are unique as well as the id for some_table. This is a truncated toy example, but these properties are the key items for the update.

Answer 1

I don't think that you can update the JSON content with this statement (updating one row with values from multiple rows), but you may try with the following approach, which parses the JSON data as a table using OPENJSON(), updates this table and outputs the table's content as JSON using FOR JSON PATH:
JSON:
DECLARE #json nvarchar(max) = N'
{
"personnel": [
{
"node_id": "FDA64E9F-3BAC-45FA-8819-8A086D96B359",
"node_data": {
"is_approved": null,
"is_node_complete": false,
"node_status": "requested"
}
},
{
"node_id": "AF829232-32F4-464B-8817-50ED24447AA4",
"node_data": {
"is_approved": null,
"is_node_complete": false,
"node_status": "requested"
}
},
{
"node_id": "E18F8197-B16D-4E0B-8EE9-DBF5B23A8EB5",
"node_data": {
"is_approved": true,
"is_node_complete": true,
"node_status": "complete"
}
},
{
"node_id": "286700AE-81C8-4F4F-955D-D8DCE44ED30C",
"node_data": {
"is_approved": false,
"is_node_complete": true,
"node_status": "complete"
}
},
{
"node_id": "BC7BD024-70F1-459B-BDBF-945A3EED666C",
"node_data": {
"is_approved": null,
"is_node_complete": false,
"node_status": "requested"
}
}
]
}'
Table and statement:
CREATE TABLE some_table (id int, json_doc nvarchar(max))
INSERT INTO some_table (id, json_doc) VALUES (1, #json)
INSERT INTO some_table (id, json_doc) VALUES (2, #json)
DECLARE #rec_id INT = 1;
UPDATE some_table
SET json_doc = (
SELECT
node_id AS 'node_id',
is_approved AS 'node_data.is_approved',
is_node_complete AS 'node_data.is_node_complete',
CASE
WHEN CONVERT(bit, is_node_complete) = 0 THEN 'reviewer_assigned'
ELSE node_status
END AS 'node_data.node_status'
FROM OPENJSON (json_doc, '$.personnel') WITH (
node_id nvarchar(36) '$.node_id',
is_approved bit '$.node_data.is_approved',
is_node_complete bit '$.node_data.is_node_complete',
node_status nvarchar(50) '$.node_data.node_status'
)
FOR JSON PATH, ROOT ('personnel'), INCLUDE_NULL_VALUES
)
WHERE id = #rec_id