MongoDB Map/Reduce 报错:失败,数据库断言失败
我写了一个map/reduce的功能,用来把任务的结果整合到一个结果对象里。我是用Python和pymongo库来实现的:
m = Code("""function() {
data = {};
res = ''
if(this.result_id) {
res={'objectid':this.result_id.toString()};
} else {
res=this.result;
}
emit(this.data, res);
}""")
r = Code("""function(k,values) {
data={};
for(var i=0; i<values.length; i++ ) {
for(attr in values[i])
data[attr]=values[i][attr];
}
return data
}""")
我希望这个结果对象的顺序和输入的任务查询顺序是一样的。但是当我在请求中使用排序参数时:
res = db.tasks.map_reduce(m, r, query={'job_id':job_id},sort={'position':pymongo.ASCENDING})
这在mongodb中会引发异常:
Traceback (most recent call last):
File "/usr/local/lib/python2.6/dist-packages/gevent/greenlet.py", line 403, in run
result = self._run(*self.args, **self.kwargs)
File "/data/www/public/app/seotools/daemon/scripts/mainconverter.py", line 129, in work
res = autoreconnect(self.db.tasks.map_reduce,m, r, query={'job_id':job_id},sort={'position':1})
File "/data/www/public/app/seotools/daemon/lib/db/mongo.py", line 95, in autoreconnect
result = func(*args,**kwargs)
File "/usr/local/lib/python2.6/dist-packages/pymongo-1.8.1-py2.6-linux-x86_64.egg/pymongo/collection.py", line 945, in map_reduce
map=map, reduce=reduce, **kwargs)
File "/usr/local/lib/python2.6/dist-packages/pymongo-1.8.1-py2.6-linux-x86_64.egg/pymongo/database.py", line 294, in command
(command, result["errmsg"]))
OperationFailure: command SON([('mapreduce', u'tasks'), ('sort', {'position': 1}), ('query', {'job_id': ObjectId('4d0b30909c7684b60e000000')}), ('reduce', Code('function(k,values) {
data={};
for(var i=0; i<values.length; i++ ) {
for(attr in values[i])
data[attr]=values[i][attr];
}
return data
}', {})), ('map', Code("function() {
data = {};
res = ''
if(this.result_id) {
res={'objectid':this.result_id.toString()};
} else {
res=this.result;
}
emit(this.data, res);
}", {}))]) failed: db assertion failure
但当我使用没有排序参数的相同查询时:
res = db.tasks.map_reduce(m, r, query={'job_id':job_id})
这个就能正常工作。
那问题可能出在哪里呢?
1 个回答
2
我找到了我的问题。正如一位开发者所说的,我们不能在没有索引的情况下进行排序。所以如果你想要排序,首先必须为这个排序创建一个索引。