Samuel Chow
2018-12-07 21:06:26 UTC
So I've been doing some research on creating the correct data model for my
application.
Something I noticed in examples has been that when data is denormalized it
is usually nested in the data record.
Example:
{ // Build Info
_id : ObjectID("M"),
date : "2018-12-07",
buildVersion : "0.1.0.0"
}
{ // Test Data
_id : ObjectID("A"),
buildRef : {
_id : ObjectID("M"),
buildVersion : "0.1.0.0"
},
data1 : 1.0
data2 : 2.0
}
buildRef key is used contains another key/pair.
I was thinking if I was to search Test Data using a Build Info
ObjectID("M") wouldn't querying be inefficient since mongodb needs to go
one layer deeper into the nested record?
Could this be a bit more efficient?
{
_id : ObjectID("A"),
buildRef_id : ObjectID("M"),
buildRefBuildVersion : "0.1.0.0",
data1 : 1.0
data2 : 2.0
}
I'm sure there is a reason the examples are written this way. Maybe mongodb
doesn't care and its just as efficient. Any enlightenment would be great.
Thanks!
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application.
Something I noticed in examples has been that when data is denormalized it
is usually nested in the data record.
Example:
{ // Build Info
_id : ObjectID("M"),
date : "2018-12-07",
buildVersion : "0.1.0.0"
}
{ // Test Data
_id : ObjectID("A"),
buildRef : {
_id : ObjectID("M"),
buildVersion : "0.1.0.0"
},
data1 : 1.0
data2 : 2.0
}
buildRef key is used contains another key/pair.
I was thinking if I was to search Test Data using a Build Info
ObjectID("M") wouldn't querying be inefficient since mongodb needs to go
one layer deeper into the nested record?
Could this be a bit more efficient?
{
_id : ObjectID("A"),
buildRef_id : ObjectID("M"),
buildRefBuildVersion : "0.1.0.0",
data1 : 1.0
data2 : 2.0
}
I'm sure there is a reason the examples are written this way. Maybe mongodb
doesn't care and its just as efficient. Any enlightenment would be great.
Thanks!
--
You received this message because you are subscribed to the Google Groups "mongodb-user"
group.
For other MongoDB technical support options, see: https://docs.mongodb.com/manual/support/
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To view this discussion on the web visit https://groups.google.com/d/msgid/mongodb-user/ad3483c2-6f68-44ac-b8cc-5378e5dc6df9%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.