How to use dot in field name ?
I see error in example:
db.test2.insert({ "a.a" : "b" })
can't have . in field names [a.a]
You can replace dot symbols of your field name to Unicode equivalent of \uff0E
db.test.insert({"field\uff0ename": "test"})
db.test.find({"field\uff0ename": "test"}).forEach(printjson)
{ "_id" : ObjectId("5193c053e1cc0fd8a5ea413d"), "field.name" : "test" }
See more:
http://docs.mongodb.org/manual/faq/developers/#faq-dollar-sign-escaping
http://docs.mongodb.org/manual/core/document/#dot-notation
Actualy you may use dots in queries. See: http://www.mongodb.org/display/DOCS/Dot+Notation+%28Reaching+into+Objects%29
Because of this special dot symbol mean you cannot use it in field names. Like you cannot use dot symbol in identifiers in most of programming languages.
You may write query db.test2.find({ "a.a" : "b" }) but if you want to be able to write such a query you need to insert your object like so: db.test2.insert({"a": {"a": "b"}}). This will create document with the field named "a" with the value of embeded document containing the field named "a" (again) with the value "b".
You can also write a SONManipulator using the pymongo library that transforms the data going to and back out of mongodb. There are downsides; there is a performance hit (impact depends on your use case) and you have to transform your keys when you do searches using find.
Here's code with an example of how to use it in the comment for the KeyTransform class:
from pymongo.son_manipulator import SONManipulator
class KeyTransform(SONManipulator):
"""Transforms keys going to database and restores them coming out.
This allows keys with dots in them to be used (but does break searching on
them unless the find command also uses the transform).
Example & test:
# To allow `.` (dots) in keys
import pymongo
client = pymongo.MongoClient("mongodb://localhost")
db = client['delete_me']
db.add_son_manipulator(KeyTransform(".", "_dot_"))
db['mycol'].remove()
db['mycol'].update({'_id': 1}, {'127.0.0.1': 'localhost'}, upsert=True,
manipulate=True)
print db['mycol'].find().next()
print db['mycol'].find({'127_dot_0_dot_0_dot_1': 'localhost'}).next()
Note: transformation could be easily extended to be more complex.
"""
def __init__(self, replace, replacement):
self.replace = replace
self.replacement = replacement
def transform_key(self, key):
"""Transform key for saving to database."""
return key.replace(self.replace, self.replacement)
def revert_key(self, key):
"""Restore transformed key returning from database."""
return key.replace(self.replacement, self.replace)
def transform_incoming(self, son, collection):
"""Recursively replace all keys that need transforming."""
for (key, value) in son.items():
if self.replace in key:
if isinstance(value, dict):
son[self.transform_key(key)] = self.transform_incoming(
son.pop(key), collection)
else:
son[self.transform_key(key)] = son.pop(key)
elif isinstance(value, dict): # recurse into sub-docs
son[key] = self.transform_incoming(value, collection)
return son
def transform_outgoing(self, son, collection):
"""Recursively restore all transformed keys."""
for (key, value) in son.items():
if self.replacement in key:
if isinstance(value, dict):
son[self.revert_key(key)] = self.transform_outgoing(
son.pop(key), collection)
else:
son[self.revert_key(key)] = son.pop(key)
elif isinstance(value, dict): # recurse into sub-docs
son[key] = self.transform_outgoing(value, collection)
return son
def remove_dots(data):
for key in data.keys():
if type(data[key]) is dict: data[key] = remove_dots(data[key])
if '.' in key:
data[key.replace('.', '\uff0E')] = data[key]
del data[key]
return data
this recursive method replaces all dot characters from keys of a dict with \uff0E
as suggested by Fisk
I replaced the key value using myString.replace(".","\u2024") before inserting it into the JsonObject.
Initially I used a simple recursion to replace all "." characters with its unicode equivalent but figured it out that even the dots in the values was getting replaced. So I thought that we should replace the dots only from keys and made the changes accordingly in case "if isinstance(input, dict)".
I thought it should be a sufficient condition to do the magic but I forgot that dict value can also be a dict or a list and then I finally added that check that if value of a dict was not string then, go inside recursively and was finally able to come up with this solution which eventually did the trick.
def remove_dots(data):
if isinstance(data, dict):
return {remove_dots(key): value if isinstance(value, str) else remove_dots(value) for key,value in data.iteritems()}
elif isinstance(data, list):
return [remove_dots(element) for element in data]
elif isinstance(data, str):
return data.replace('.','\u002e')
else:
return data
I've only really come across this problem when trying to serialize Dictionaries and such where the offending dot can appear as a key name.
Edited to show the references.
The quick and dirty C# approach:
using MongoDB.Bson;
using Newtonsoft.Json.Linq;
using System.Text.RegularExpressions;
public static T Sanitize<T>(T obj)
{
var str = JObject.FromObject(obj).ToJson();
var parsed = Regex.Replace(str, #"\.(?=[^""]*"":)", "_"); //i.e. replace dot with underscore when found as a json property name { "property.name": "don't.care.what.the.value.is" }
return JObject.Parse(parsed).ToObject<T>();
}
Related
So I execute a POST call and get a few objects in return.
I would like to extract and create a key value pair and save it in the session for later use.
My current code looks as follows:
.exec(http(“Rest call“)
.post("/api")
.body(ElFileBody("json/api.json")).asJson
.check(jsonPath("$.result.objects[*].files[?(#.type == ‘FILE1’)].id").findAll.saveAs(“id”))
.check(jsonPath("$.result.objects[*].files[?(#.type == ‘FILE1’)].name”).findAll.saveAs(“name”))
Here I end up with two lists(Vectors) in my session, "id" and "name".
What I would like to do is create one list of key/value pairs of id/name instead. Obviously the pairs should correlate to the same jsonpath hit.
the easiest way to do this is using scala's collection zipping in a session function
.exec(http(“Rest call“)
.post("/api")
.body(ElFileBody("json/api.json")).asJson
.check(jsonPath("$.result.objects[*].files[?(#.type == ‘FILE1’)].id").findAll.saveAs(“id”))
.check(jsonPath("$.result.objects[*].files[?(#.type == ‘FILE1’)].name”).findAll.saveAs(“name”)
)
.exec(session => {
var ids = session("id").as[Seq[String]]
var names = session("name").as[Seq[String]]
session.set("pairs", ids zip names)
})
this will set a session variable called "pairs", with the contents being a List of Tuple2
check out https://alvinalexander.com/scala/how-to-merge-sequential-collection-pairs-zip-unzip-scala-cookbook
StructKeyList() will give me list of struct key with comma delimited. Now I need to get struct value with comma delimited. Right now this is what I'm doing to get value
<cfloop collection="#form#" item="key" >
#form[key]#,
</cfloop>
How can I get list of value from struct without loop? Thanks in advance.
I go through your problem. As per my knowledge is not possible to get list of value in structure within single functions. We have to loop the key and get the value of each. But I can give a solution for to get struct value with comma delimited.
<cfset strNew = {"a":"10","b":20,"c":30}>
Here strNew is my sample structure.
<cfset myList = ''>
<cfloop collection="#strNew#" item="key" >
<cfset myList = listappend(myList,structfind(strNew,key))>
</cfloop>
<cfdump var="#myList#" />
Here I've loop over the structure keys and find the value of an particular key and append that in to and list by using listappend and structfind functions.
So you no need to put like #structure[key]#,In your end of comma(,) is also added the last value of key too. For example your code should return 10,20,30,.
So you no need to do like that. use structfind and listappend you can avoid end of the comma also. Hope it's help you.
Since you're using CF2016, if you want to avoid a loop, you can always use one of the higher-order functions like reduce().
fields = formScope.reduce( function(result, key, value) {
result.append(value) ;
return result ;
}, [] ) ;
This takes the struct of your form scope (formscope) and uses reduce() to step through it and take it down to a single value (which is the struct values turned into an array). Then we make the returned array into a list.
writeDump( fields.toList() )
My full test code is at https://trycf.com/gist/f00cc62cd4631f44070faf8008e6788f/acf2016?theme=monokai
<cfscript>
formScope = {
empty1 : "" ,
fieldl : "text1" ,
field2 : "text2" ,
empty2 : "" ,
field3 : "text3" ,
field4 : "text4" ,
empty3 : ""
} ;
fields = formScope?.reduce( function(result, key, value) {
len(value) ? result.append(value) : "" ;
return result ;
}, [] ) ;
writeDump( fields?.toList() ?: "Form doesn't exist." ) ;
</cfscript>
Giving us: text2,text3,text4,text1.
formScope is my simulated version of the form fields that would be passed to this page. I use mostly the member function versions of StructReduce, ArrayAppend and ArrayToList. I also use the initialVal optional parameter to initialize the reduction's result value as an array. I check that the value has a length (I could also trim if needed) before I insert a row in the array, allowing me to remove empty elements from my final list. I also use the safe navigation operator (?.) to do some basic validation to make sure the elements exist (like if the form didn't pass or the reduction produced invalid results) and to make it more error-resistant.
NOTE: I believe that can be taken back to be compatible with CF11, when ArrayReduce was introduced.
https://helpx.adobe.com/coldfusion/cfml-reference/coldfusion-functions/functions-s/structreduce.html
http://ryanguill.com/functional/higher-order-functions/2016/05/18/higher-order-functions.html
https://helpx.adobe.com/coldfusion/cfml-reference/coldfusion-functions/functions-a-b/arraytolist.html
i have a collection of financial data stored in mongodb. each company symbol has its data. the question is how to iterate over the collection and change the value of the key which is the symbol company to print out the whole collection and this is my list of companies ['TSLA','TYO','C','LULU','DTV','SHS',' ZNGA'] and this is my cod which return the data of one company:
from pymongo import MongoClient
import csv
host = "localhost"
port = 27017
databaseName = "finance000"
collection_name = "income"
client = MongoClient(host, port)
database = client[databaseName]
collection = database[collection_name]
def finance_data(symbol):
Earnings_BeforeInterestAndTaxes = symbol['statement'[0]EarningsBeforeInterestAndTaxes']['content']
Total_Revenue = symbol['statement'][0]['TotalRevenue']['content']
return Earnings_BeforeInterestAndTaxes,Total_Revenue
i =collection.find({'symbol':'C'})
with open('D:/INCOMEdata.csv', "w") as output:
writer = csv.writer(output, lineterminator='\n')
for key in i :
print finance_data(key)
writer.writerow(finance_data(key))
If I understood you correctly. You want to retrieve the document/data for a given company. The company is denoted by a symbol example 'TYSLA'.
If that is what you need. Here is how you do it (assuming each symbol is unique)
company_data = collection.find({'symbol':'TYSLA'})
The above will return a dictionary. To access an element within the document you just use:
company_data['profit'] #profit is an example of an attribute name. You can use any attribute you like.
Assuming you have multiple companies with the same symbol. If you used the above command. you will get a cursor. to get each company just do a for loop example:
company_data = collection.find({'symbol':'TYSLA'})
Now to loop:
for one in company_date:
print one['profit'] #python 2.7
Now to edit the say for example the profit attribute use $set
collection.update_one({'symbol':'TYSLA'},{'profit':100})
the above will change TYSLA's company profit to 100
Update
Assuming you have a collection with the symbol being any value of ['TSLA','TYO','C','LULU','DTV','SHS',' ZNGA']. to get the data for any of the symbols you use (assuming symbol contains any of the names (only one name)):
you use the $or as:
collection.find({"$or":[ {'symbol':'TSLA},{'symbol':'TYO},... ]},{}) #the ... are the rest of the names you need
The above returns the whole data for a given symbol. To return the specifics Total_Revenue and Earnings_BeforeInterestAndTaxes you use the following:
collection.find({"$or":[ {'symbol':'TSLA},{'symbol':'TYO},... ]},{'Total_Revenue ':1,'Earnings_BeforeInterestAndTaxes ':1, _id:0 }) #if you remove _id it will always be returned
I hope that helps.
I'm trying to execute a query from java against a Map/Reduce view I have created on the CouchDB.
My map function looks like the following:
function(doc) {
if(doc.type == 'SPECIFIC_DOC_TYPE_NAME' && doc.userID){
for(var g in doc.groupList){
emit([doc.userID,doc.groupList[g].name],1);
}
}
}
and Reduce function:
function (key, values, rereduce) {
return sum(values);
}
The view seems to be working when executed from the Futon interface (without keys specified though).
What I'm trying to do is to count number of some doc types belonging to a single group. I want to query that view using 'userID' and name of the group as a keys.
I'm using Ektorp library for managing CouchDB data, if I execute this query without keys it returns the scalar value, otherwise it just prints an error saying that for reduce query group=true must be specified.
I have tried the following:
ViewQuery query = createQuery("some_doc_name");
List<String> keys = new ArrayList<String>();
keys.add(grupaName);
keys.add(uzytkownikID);
query.group(true);
query.groupLevel(2);
query.dbPath(db.path());
query.designDocId(stdDesignDocumentId);
query.keys(keys);
ViewResult r = db.queryView(query);
return r.getRows().get(0).getValueAsInt();
above example works without 'keys' specified.
I have other queries working with ComplexKey like eg:
ComplexKey key = ComplexKey.of(userID);
return queryView("list_by_userID",key);
but this returns only a list of type T (List) - using CouchDbRepositorySupport of course - and cannot be used with reduce type queries (from what I know).
Is there any way to execute the query with reduce function specified and a complex key with 2 or more values using Ektorp library? Any examples highly appreciated.
Ok, I've found the solution using trial and error approach:
public int getNumberOfDocsAssigned(String userID, String groupName) {
ViewQuery query = createQuery("list_by_userID")
.group(true)
.dbPath(db.path())
.designDocId(stdDesignDocumentId)
.key(new String[]{userID,groupName});
ViewResult r = db.queryView(query);
return r.getRows().get(0).getValueAsInt();
}
So, the point is to send the complex key (not keys) actually as a single (but complex) key containing the String array, for some reason method '.keys(...)' didn't work for me (it takes a Collection as an argument). (for explanation on difference between .key() and .keys() see Hendy's answer)
This method counts all documents assigned to the specific user (specified by 'userID') and specific group (specified by 'groupName').
Hope that helps anybody executing map/reduce queries for retrieving scalar values from CouchDB using Ektorp query.
Addition to Kris's answer:
Note that ViewQuery.keys() is used when you want to query for documents matching a set of keys, not for finding document(s) with a complex key.
Like Kris's answer, the following samples will get document(s) matching the specified key (not "keys")
viewQuery.key("hello"); // simple key
viewQuery.key(documentSlug); // simple key
viewQuery.key(new String[] { userID, groupName }); // complex key, using array
viewQuery.key(ComplexKey.of(userID, groupName)); // complex key, using ComplexKey
The following samples, on the other hand, will get document(s) matching the specified keys, where each key may be either a simple key or a complex key:
// simple key: in essence, same as using .key()
viewQuery.keys(ImmutableSet.of("hello"));
viewQuery.keys(ImmutableSet.of(documentSlug1));
// simple keys
viewQuery.keys(ImmutableSet.of("hello", "world"));
viewQuery.keys(ImmutableSet.of(documentSlug1, documentSlug2));
// complex key: in essence, same as using .key()
viewQuery.keys(ImmutableSet.of(
new String[] { "hello", "world" } ));
viewQuery.keys(ImmutableSet.of(
new String[] { userID1, groupName1 } ));
// complex keys
viewQuery.keys(ImmutableSet.of(
new String[] { "hello", "world" },
new String[] { "Mary", "Jane" } ));
viewQuery.keys(ImmutableSet.of(
new String[] { userID1, groupName1 },
new String[] { userID2, groupName2 } ));
// a simple key and a complex key. while technically possible,
// I don't think anybody actually does this
viewQuery.keys(ImmutableSet.of(
"hello",
new String[] { "Mary", "Jane" } ));
Note: ImmutableSet.of() is from guava library.
new Object[] { ... } seems to have same behavior as ComplexKey.of( ... )
Also, there are startKey() and endKey() for querying using partial key.
To send an empty object {}, use ComplexKey.emptyObject(). (only useful for partial key querying)
My web application runs on MongoDB, using python and pyMongo. I get this scenario a lot - code that reads something like:
from pymongo import Connnection
users = Connection().db.users
def findUsers(firstName=None, lastName=None, age=None):
criteria = {}
if firstName:
criteria['firstName'] = firstName
if lastName:
criteria['lastName'] = lastName
if age:
criteria['age'] = age
query = users.find(criteria)
return query
I find that kind of messy how I need an if statement for every value that's optional to figure out if it's needs to go into the search criteria. If only there were a special query value that mongo ignored in queries. Then my code could look like this:
def findUsers(firstName=<ignored by mongo>, lastName=<ignored by mongo>, age=<ignored by mongo>):
query = users.find({'firstName':firstName, 'lastName':lastName, 'age':age})
return query
Now isn't that so much cleaner than before, especially if you have many more optional parameters. Any parameters that aren't specified default to something mongo just ignores. Is there any way to do this? Or at-least something more concise than what I currently have?
You're probably better off filtering your empty values in Python. You don't need a separate if-statement for each of your values. The local variables can be accessed by locals(), so you can create a dictionary by filtering out all keys with None value.
def findUsers(firstName=None, lastName=None, age=None):
loc = locals()
criteria = {k:loc[k] for k in loc if loc[k] != None}
query = users.find(criteria)
Note that this syntax uses dictionary comprehensions, introduced in Python 2.7. If you're running an earlier version of Python, you need to replace that one line with
criteria = dict((k, loc[k]) for k in loc if loc[k] != None)