Minor - P4 When an index is defined on a path "obj.nested.field", it's supposed to index a document
{ obj: {nested: {field: "value"}}}
However, it also indexes
{obj: {"nested.field": "value"}}
as it looks evident in this testcase
db.geo.createIndex({"obj.inner.geoLegacy": "2d"})
db.geo.insert([ {_id: 17922, "obj": {_id: 17923, "str": "random string"} } ])
db.geo.runCommand( {"update": "geo", "updates": [{"q": {}, "u": [{$set: {"obj": {$setField: {field: "inner.geoLegacy", input: "$obj", value: "$obj"}},}}, ], "upsert": false, "multi": false, }], "ordered": true, })
db.geo.validate({full: true})
where the created document
{
"_id": 17922,
"obj": {
"_id": 17923,
"str": "random string",
"inner.geoLegacy": {
"_id": 17923,
"str": "random string",
}
}
}
is using the content of the "inner.geoLegacy" field as a valid match for the indexed path "obj.inner.geoLegacy", and fails to treat it as a 2D legacy point.
{
...
"valid" : false,
"repaired" : false,
...
"errors" : [
"exception during collection validation: Location13026: geo values must be 'legacy coordinate pairs' for 2d indexes :: caused by :: { _id: 17922.0, obj: { _id: 17923.0, str: \"random string\", inner.geoLegacy: { _id: 17923.0, str: \"random string\" } } }"
],
...
"advice" : "A corrupt namespace has been detected. See http://dochub.mongodb.org/core/data-recovery for recovery steps.",
"ok" : 1
}
Given that we document that fields whose name is starting with "$" or containing "." are not included in indexes or encrypted, we should skip them rather than including them and yield wrong results.
A maybe related issue is that the insertion of a dotted path matching the index key makes a document be excluded when the index is used, compared with when a collection scan is performed:
db.x.insert([{a:1, b:{c:{x: 2, y:2}}}, {a:2, b:{c:{x:2, y:2}}}])
db.x.update({a:2}, [{$replaceWith: {$setField: {field: "b.c", input: "$$ROOT", value: {x: 20, y:20}}}}])
db.x.find()
{ "_id" : ObjectId("6454c87a0f747333893c632f"), "a" : 1, "b" : { "c" : { "x" : 2, "y" : 2 } } }
{ "_id" : ObjectId("6454c87a0f747333893c6330"), "a" : 2, "b" : { "c" : { "x" : 2, "y" : 2 } }, "b.c" : { "x" : 20, "y" : 20 } }
db.x.find({"b.c": {$geoWithin: {$center: [ [2,2], 10]}}})
{ "_id" : ObjectId("6454c87a0f747333893c632f"), "a" : 1, "b" : { "c" : { "x" : 2, "y" : 2 } } }
{ "_id" : ObjectId("6454c87a0f747333893c6330"), "a" : 2, "b" : { "c" : { "x" : 2, "y" : 2 } }, "b.c" : { "x" : 20, "y" : 20 } }
db.x.createIndex({"b.c":"2d"})
db.x.find({"b.c": {$geoWithin: {$center: [ [2,2], 10]}}})
{ "_id" : ObjectId("6454c87a0f747333893c632f"), "a" : 1, "b" : { "c" : { "x" : 2, "y" : 2 } } }
- causes
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SERVER-76542 Geo 2d index update validation differs between 6.0 and 6.3
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- Closed
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- Closed
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- duplicates
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- Closed
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- is related to
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- Closed
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- related to
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SERVER-77113 Exclude fields containing dots from time series indexes
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- Closed
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