I have a large collection of json documents whose structure is in the form:
{
"id": "00000000-0000-0000-0000-000000001122",
"typeId": 0,
"projectId": "p001",
"properties": [
{
"id": "a6fdd321-562c-4a40-97c7-4a34c097033d",
"name": "projectName",
"value": "contoso",
},
{
"id": "d3b5d3b6-66de-47b5-894b-cdecfc8afc40",
"name": "status",
"value": "open",
},
.....{etc}
]
}
There may be a lot of properties in the collection, all identified by the value of name. The fields in properties are pretty consistent -- there may be some variability, but they will all have the fields that I care about. There's an Id, some labels, etc
I'm wanting to combine these with some other data in PowerBI using the projectId to create some very valuable reports.
I think what I want to do it 'normalize' this data into a table, like:
| ProjectId | projectName | status | openDate | closeDate | manager |
|---|---|---|---|---|---|
| p001 | contoso | open | 20200101 | me | |
| etc |
ā Where I'm at...
I can go:
SELECT c["value"] AS ProjectName
FROM c in t.Properties
WHERE c["name"] = "projectName"
... this will give me each projectName
I can do that a heap of times to get the 'values' (status, openDate, manager, etc)
If I want to combine them together then I would need to combine all those sub-queries together with 'id'. But 'id' in not in the scope of the SELECT, so how do I get it?? If I were to do this, it sounds like something that would be very expensive (RU's) to execute.
I think I'm overcomplicating this, but I cant quite get my head around the Cosmos syntax.
Help??