MongoDB mapreduce错误 - BSONObj规范大小无效 - 错误代码10334

Question

我在两个集合上运行mapreduce。当我在我的机器上的单个实例上运行它时，它工作正常，但是当我在分片群集上运行它时，它给出了我的错误，如下图所示：

两个集合都拥有大约10K的文档，文档足够小，只有7-8个字段。

有人可以帮我解决这个问题，为什么我在分片环境中而不是简单的实例中获得此异常。

更新 地图＆amp;减少功能如下：

var mapF1 = function(){
    var output = {};
    var dataToHash = '';
    this.hashCode = function(data) {
      var hash = 0, i, chr, len;
      if (data.length == 0) return hash;
      for (i = 0, len = data.length; i < len; i++) {
        chr   = data.charCodeAt(i);
        hash  = ((hash << 5) - hash) + chr;
        hash |= 0; // Convert to 32bit integer
      }
      return hash;
    };
    for(var record in this.Value){
        output = {};
        dataToHash = '';
        for(var column in this.Value[record]){
            var returnData = '';
            if (Date.parse(this.Value[record][column]) && this.Value[record][column].length >= 8) {
                    var tempDate = new Date(this.Value[record][column]);
                    returnData += tempDate.getDate() + '-' +tempDate.getMonth()+'-'+tempDate.getFullYear();
                    dataToHash += returnData;
            }else if(isNumber(this.Value[record][column])){
               dataToHash += (this.Value[record][column] + '').split('.')[0];
            } else {
                dataToHash += this.Value[record][column];
            }
            output[column] = this.Value[record][column];
        }
        output.hashcolumn = this.hashCode(dataToHash);
        emit(output.hashcolumn + '_S', output);
    };
};

var mapF2 = function(){
    var output = {};
    var dataToHash = '';
    this.hashCode = function(data) {
      var hash = 0, i, chr, len;
      if (data.length == 0) return hash;
      for (i = 0, len = data.length; i < len; i++) {
        chr   = data.charCodeAt(i);
        hash  = ((hash << 5) - hash) + chr;
        hash |= 0; // Convert to 32bit integer
      }
      return hash;
    };
    for(var record in this.Value){
        output = {};
        dataToHash = '';
        for(var column in this.Value[record]){
            var returnData = '';
            if (Date.parse(this.Value[record][column]) && this.Value[record][column].length >= 8) {
                    var tempDate = new Date(this.Value[record][column]);
                    returnData += tempDate.getDate() + '-' +tempDate.getMonth()+'-'+tempDate.getFullYear();
                    dataToHash += returnData;
            }else if(isNumber(this.Value[record][column])){
               dataToHash += (this.Value[record][column] + '').split('.')[0];
            } else {
                dataToHash += this.Value[record][column];
            }
            output[column] = this.Value[record][column];
        }
        output.hashcolumn = this.hashCode(dataToHash);
        emit(output.hashcolumn + '_T', output);
    };
};


var reduceF = function(key, values) {
    return values[0];
};


db.runCommand(
   {
     mapReduce: 'source',
     map: mapF1,
     reduce: reduceF,
     out: { merge: 'map_reduce_results', db: 'mydb' }    
   }
)

db.runCommand(
       {
         mapReduce: 'target',
         map: mapF2,
         reduce: reduceF,
         out: { merge: 'map_reduce_results', db: 'mydb' }
       }
    )

输出存储在名为 map_reduce_results

的集合中