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Type:
Question
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Resolution: Done
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Priority:
Major - P3
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None
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Affects Version/s: None
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Component/s: None
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None
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Server Triage
My documents are like this below:
{
"_id": ObjectId("63bd85a644552d73f36c366e"),
"ts": datetime.datetime(2023, 1, 10, 15, 35, 2, 374000),
"dt": datetime.datetime(2023, 1, 10, 15, 34, 10),
"aff": 2,
"src": 2,
"st": 2
}
I have more than 50M documents, and $searchMeta saved my life with its faceting speed! But, it's not complete. Please help me to achieve it.
I wanna count documents based on aff and src grouping. And ts and st as filters. And getting the maximum date for every group.
I developed this aggregation pipeline below:
[
{
"$searchMeta": {
"index": "MsgAtlasIndex",
"count": {"type": "total"},
"facet": {
"operator": {
"compound": {
"must": [
{
"range": {
"path": "ts",
"gte": datetime.now() - timedelta(hours=24)
}
},
{"equals": {"path": "st", "value": 2}},
]
}
},
"facets": {
"src": {
"type": "number",
"path": "src",
"boundaries": [1, 2, 3, 4, 5, 6, 7, 10, 11]
},
"aff": {
"type": "number",
"path": "aff",
"boundaries": [1,2,3,4,5,7,8,9,10,11,12,14,17,18,19,20,21]
},
},
},
}
},
]
The output of this is like below:
[
{
"count": {"total": 35},
"facet": {
"aff": {
"buckets": [
{"_id": 1, "count": 1},
{"_id": 2, "count": 34},
{"_id": 3, "count": 0},
{"_id": 4, "count": 0},
{"_id": 5, "count": 0},
{"_id": 7, "count": 0},
{"_id": 8, "count": 0},
{"_id": 9, "count": 0},
{"_id": 10, "count": 0},
{"_id": 11, "count": 0},
{"_id": 12, "count": 0},
{"_id": 14, "count": 0},
{"_id": 17, "count": 0},
{"_id": 18, "count": 0},
{"_id": 19, "count": 0},
{"_id": 20, "count": 0},
]
},
"src": {
"buckets": [
{"_id": 1, "count": 0},
{"_id": 2, "count": 34},
{"_id": 3, "count": 0},
{"_id": 4, "count": 0},
{"_id": 5, "count": 0},
{"_id": 6, "count": 0},
{"_id": 7, "count": 1},
{"_id": 10, "count": 0},
]
},
},
}
]
I don't want aff and src separated. I want them to be grouped.
Wanted result:
[
{
"_id": {"aff": 1, "src": 7},
"count": 1,
"last_message_datetime": datetime.datetime(2023, 7, 24, 13, 8, 3, 488000),
},
{
"_id": {"aff": 2, "src": 2},
"count": 34,
"last_message_datetime": datetime.datetime(2023, 7, 24, 22, 25, 23),
},
]
Please help me!