I have a collection in MongoDB, which is like following:
{
"_id" : "5327010328645530500",
"members" : [
{
"participationCoeff" : 1,
"tweetID" : "5327010328645530500"
},
{
"participationCoeff" : 1,
"tweetID" : "2820402625046999289"
},
{
"participationCoeff" : 0.6666666666666666,
"tweetID" : "6122060484520699114"
},
{
"participationCoeff" : 1,
"tweetID" : "4656669980325872747"
}
]
}
{
"_id" : "2646953848367646922",
"members" : [
{
"participationCoeff" : 1,
"tweetID" : "2646953848367646922"
},
{
"participationCoeff" : 0.75,
"tweetID" : "7750833069621794130"
},
{
"participationCoeff" : 0.5,
"tweetID" : "6271782334664128453"
}
]
}
Basically, collection have clusters, where a cluster has an _id
field and a members
field. Members field is an array of documents, having following format.
{
"participationCoeff" : 1,
"tweetID" : "5327010328645530500"
}
Now, from time to time, I have to delete these sub-documents in members attribute of cluster document, by matching tweetID.
However, I'm not able to find a query to achieve this effect. Basically, a tweetID will participate in many clusters, and hence will appear in multiple sub-documents of 'members' attribute of various clusters. I want to supply a bulk $pull operation, where I can remove all the sub-documents in all the clusters (i.e. their members attribute) which match on a particular tweetID.
Some help and intuition will be really helpful.