mongo db aggregation output

gistfile1.txt

command: { aggregate: "activemq_berylcoral", pipeline: [ { $match: { _id: { $gte: 1346281200000 } } }, { $group: { _id: { $divide: [ "$_id", 86400000 ] }, aggregation: { $avg: "$jvmThreadCount" } } } ] } ntoreturn:1 keyUpdates:0 numYields: 1 locks(micros) r:2162903 reslen:246035 1379ms


command: { mapreduce: "activemq_berylcoral", map: "function() { emit(this._id - (this._id % 86400000), { aggregate:0, count:1, sum: this['jvmThreadCount'] } );}", reduce: "
    function (name, values) {
      var result = { aggregate:0, count:0, sum:0 };
      values.forEach(function(f) {
        result.sum += f.sum;
        ...", verbose: false, out: { inline: true }, query: { _id: { $gte: 1346281200000 } }, finalize: "
    function (who, res) {
      if (res.count > 0) res.aggregate = res.sum / res.count;
      return res;
    }
    " } ntoreturn:1 keyUpdates:0 numYields: 54 locks(micros) r:518920 reslen:285 315ms