我的问题是,是否可以将Mongo数据保存到多个文档中并将它们链接在一起?我有非常大的json文件,因此我想将它们拆分为多个文件并以这种方式保存,每个文档文件的大小会变小吗?
这是我的代码,它创建了很大的JSON文件和子数组,我想使每个文档的尺寸尽可能小。
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/_libs/index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1601, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1608, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: ('col1', 'col2')
答案 0 :(得分:0)
这里您可以在for循环中更新文档。
在我的示例中,根据您的数据库更改必要的关键字,
userController.signUp = async function(req,res){
req.body.installation = [
{
"phase":"abc",
"phase" : "driveOne",
"text" : "Drive One",
"textKey" : "",
"index" : "1.0",
"subjects":[{
"id":"1.1.1",
"text":"test",
"textKey":"",
}]
},
{
"phase":"abc",
"phase" : "driveOne",
"text" : "Drive One",
"textKey" : "",
"index" : "1.0",
"subjects":[{
"id":"1.1.1",
"text":"test",
"textKey":"",
}]
},
{
"phase":"abc",
"phase" : "driveOne",
"text" : "Drive One",
"textKey" : "",
"index" : "1.0",
"subjects":[{
"id":"1.1.1",
"text":"test",
"textKey":"",
}]
},
{
"phase":"abc",
"phase" : "driveOne",
"text" : "Drive One",
"textKey" : "",
"index" : "1.0",
"subjects":[{
"id":"1.1.1",
"text":"test",
"textKey":"",
}]
},
]
//Your DB name instead of userModel
userModel.findOne({_id: "5d1d9691019db61515450574"})
.exec(async (err , found)=>{
if(err){
res.send(err);
}else{
for(var i = 0; i< req.body.installation.length; i++){
var hey = req.body.installation[i];
found.installation[i] = req.body.installation[i];
console.log("=============================+>" ,found.installation)
await userModel.findOneAndUpdate({_id: found._id} , found, {upsert: true , new: true});
}
res.send(found);
}
});
}
我尝试使用20万条记录,但没有给出错误。