After 28 years working with relational databases (SQL Server, MySQL, Oracle, Informix) I have moved to MongoDB. It has been slow going over the last two weeks. I would like to submit a couple of questions to confirm my thoughts.
My document looks like the following (ignore groupings for this question):
{
"_id": "xyz-800",
"site": "xyz",
"user": 800,
"timepoints": [
{"timepoint": 0, "a": 1500, "b": 700},
{"timepoint": 2, "a": 1000, "b": 200},
{"timepoint": 4, "a": 3500, "b": 1500}
],
"groupings": [
{"type": "MNO", "group": "<10%", "raw": "1"},
{"type": "IJK", "group": "Moderate", "raw": "23"}
]
}
I would like to flatten the timepoints nested array. The following works, but is there a way to wildcard the attributes in timepoints instead of listing each one? The reason could be if a new attribute (e.g., 'c') is added to the subdocument I then have to modify the code or if this subdocument had a lot of attributes I would need to list each one instead of using a wildcard, if possible.
db.records.aggregate( {$unwind : "$timepoints"},
{$project: {_id: 1, site: 1, user: 1,
'timepoint': '$timepoints.timepoint',
'a': '$timepoints.a',
'b': '$timepoints.b'}})
Result:
{"id":"xyz-800", "site":"xyz", "user":800, "timepoint": 0, "a":1500, "b":700}
{"id":"xyz-800", "site":"xyz", "user":800, "timepoint": 2, "a":1000, "b":200}
{"id":"xyz-800", "site":"xyz", "user":800, "timepoint": 4, "a":3500, "b":1500}
I am currently using MongoDB 3.2