using 2 different result sets in mongodb - mongodb

Question

I'm using groovy with mongodb. I have a result set but need a value from a different grouping of documents. How do I pull that value into the result set I need?
MAIN:Network data
"resource_metadata" : {
"name" : "tapd2e75adf-71",
"parameters" : { },
"fref" : null,
"instance_id" : "9f170531-79d0-48ee-b0f7-9bd2788b1cc5"}
I need the display_name for the network data result set which is contained in the compute data.
CPU data
"resource_id" : "9f170531-79d0-48ee-b0f7-9bd2788b1cc5",
"resource_metadata" : {
"ramdisk_id" : "",
"display_name" : "testinstance0001"}
You can see the resource_id and the Instance_id are the same values. I know there is no relationship I can do but trying to reach to see if anyone has come across this. I'm using the table model to retrieve data for reporting. Hashtable has been suggested to me but I'm not seeing that working. Somehow in the hasNext I need to include the display_name value. in the networking data so GUID number doesn't only valid name shows from compute data.
def docs = meter.find(query).sort(sort).limit(50)\
while (docs.hasNext()) { def doc = docs.next()\
model.addRow([ doc.get("counter_name"),doc.get("counter_volume"),doc.get("timestamp"),\
doc.get("resource_metadata").getString("mac"),\
doc.get("resource_metadata").getString("instance_id"),\
doc.get("counter_unit")]
as Object[]);}
Full document:
1st set where I need the network data measure with no name only id {resource_metadata.instance_id}
{
"_id" : ObjectId("528812f8be09a32281e137d0"),
"counter_name" : "network.outgoing.packets",
"user_id" : "4d4e43ec79c5497491b23b13644c2a3b",
"timestamp" : ISODate("2013-11-17T00:51:00Z"),
"resource_metadata" : {
"name" : "tap6baab24e-8f",
"parameters" : { },
"fref" : null,
"instance_id" : "a8727a1d-4661-4565-9c0a-511279024a97",
"instance_type" : "50",
"mac" : "fa:16:3e:a3:bf:fc"
},
"source" : "openstack",
"counter_unit" : "packet",
"counter_volume" : 4611911,
"project_id" : "97dc4ca962b040608e7e707dd03f2574",
"message_id" : "54039238-4f22-11e3-8e68-e4115b99a59d",
"counter_type" : "cumulative"
}
2nd set where I want to grab the name as I get the values {resource_id}:
"_id" : ObjectId("5287bc3ebe09a32281dd2594"),
"counter_name" : "cpu",
"user_id" : "4d4e43ec79c5497491b23b13644c2a3b",
"message_signature" :
"timestamp" : ISODate("2013-11-16T18:40:58Z"),
"resource_id" : "a8727a1d-4661-4565-9c0a-511279024a97",
"resource_metadata" : {
"ramdisk_id" : "",
"display_name" : "vmsapng01",
"name" : "instance-000014d4",
"disk_gb" : "",
"availability_zone" : "",
"kernel_id" : "",
"ephemeral_gb" : "",
"host" : "3746d148a76f4e1a8203d7e2378ef48ccad8a714a47e7481ab37bcb6",
"memory_mb" : "",
"instance_type" : "50",
"vcpus" : "",
"root_gb" : "",
"image_ref" : "869be2c0-9480-4239-97ad-df383c6d09bf",
"architecture" : "",
"os_type" : "",
"reservation_id" : ""
},
"source" : "openstack",
"counter_unit" : "ns",
"counter_volume" : NumberLong("724574640000000"),
"project_id" : "97dc4ca962b040608e7e707dd03f2574",
"message_id" : "a240fa5a-4eee-11e3-8e68-e4115b99a59d",
"counter_type" : "cumulative"
}
This is another collection that contains the same value but just thought it would be easier to grab from same collection:
"_id" : "a8727a1d-4661-4565-9c0a-511279024a97",
"metadata" : {
"ramdisk_id" : "",
"display_name" : "vmsapng01",
"name" : "instance-000014d4",
"disk_gb" : "",
"availability_zone" : "",
"kernel_id" : "",
"ephemeral_gb" : "",
"host" : "3746d148a76f4e1a8203d7e2378ef48ccad8a714a47e7481ab37bcb6",
"memory_mb" : "",
"instance_type" : "50",
"vcpus" : "",
"root_gb" : "",
"image_ref" : "869be2c0-9480-4239-97ad-df383c6d09bf",
"architecture" : "",
"os_type" : "",
"reservation_id" : "",
}
Mike

Answer 1

It looks like these data are in 2 different collections, is this correct?
Would you be able to query CPU data for each "instance_id" ("resource_id")?
Or if this would cause too many queries to the database (looks like you limit to 50...) you could use $in with the list of all "Instance_id"s
http://docs.mongodb.org/manual/reference/operator/query/in/
Either way, you will need to query each collection separately.