I'm trying to count how many records I have located in each zip code.
In my MongoDB, zip code is embedded; using dot notation, it's located at a.res.z (a for address, res for residential, z for zip). For example, this works just fine:
db.NY.count({'a.res.z' : '14120'})
But when I try the map function (in python, because I'm using PyMongo):
map = Code("function () {"
" emit(this.a.res.z, 1);"
"}")
I get this error when I call mapreduce:
pymongo.errors.OperationFailure: db assertion failure, assertion: 'map invoke failed: JS Error: TypeError: this.a has no properties nofile_b:0', assertionCode: 9014
Dot notation works at the top level - e.g. one dot - but I can't get it to work on embeddeds. What's the secret?
This error means that at least one object you're map-reducing is missing the res
field of its a
. See:
> db.NY.find({}, {_id: 0})
{ "a" : { "res" : { "z" : 10011 } }, "name" : "alice" }
{ "a" : { "res" : { "z" : 10011 } }, "name" : "bob" }
{ "a" : { "res" : { "z" : 10012 } }, "name" : "carol" }
> m
function () {
emit(this.a.res.z, 1);
}
> r
function (key, values) {
var v = 0;
values.forEach(function (obj) {v += obj;});
return v;
}
> db.runCommand({mapreduce: "NY", map: m, reduce: r, out: {inline: 1}})
{
"results" : [
{
"_id" : 10011,
"value" : 2
},
{
"_id" : 10012,
"value" : 1
}
],
"timeMillis" : 0,
"counts" : {
"input" : 3,
"emit" : 3,
"output" : 2
},
"ok" : 1
}
> db.NY.insert({a: {}, name: "empty"})
> db.runCommand({mapreduce: "NY", map: m, reduce: r, out: {inline: 1}})
{
"assertion" : "map invoke failed: JS Error: TypeError: this.a.res has no properties nofile_b:1",
"assertionCode" : 9014,
"errmsg" : "db assertion failure",
"ok" : 0
}
You can use a query
argument to map-reduce to operate only on those that have the fields that you want:
> db.runCommand({mapreduce: "NY", map: m, reduce: r, out: {inline: 1},
query: {"a.res.z": {$exists: true}}})
{
"results" : [
{
"_id" : 10011,
"value" : 2
},
{
"_id" : 10012,
"value" : 1
}
],
"timeMillis" : 1,
"counts" : {
"input" : 3,
"emit" : 3,
"output" : 2
},
"ok" : 1
}
To use the query
argument from PyMongo, you can set it as a keyword argument to map_reduce(...)
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