【发布时间】:2011-05-27 01:30:42
【问题描述】:
我创建了 map/reduce 函数来将任务结果分组为一个结果对象。我使用 pymongo 库在 python 中写入:
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
}""")
我需要该结果对象与输入任务查询的顺序相同。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})
但这会在 mongodb 中引发异常:
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
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})
它工作得很好。
问题可能出在哪里?
【问题讨论】:
-
将排序放在首位会发生什么?
res = db.tasks.map_reduce(m, r, sort={'position':pymongo.ASCENDING},query={'job_id':job_id})没关系,但如果是,你可能发现了一个错误? -
我会试试这个并告诉你
-
ammm...你是对的,如果改变参数的顺序就可以了。
标签: python mongodb mapreduce pymongo