monquey

The No}}}); MongoDB Shell Syntax

Dependencies

cabal install regex-posix
pip install termcolor (for testing)

Usage

make
echo 'some query here' | ./monquey

Testing

python test.py

Syntactic features

Pipe separated arguments
Semicolon separated arrays
Non-bracketed objects
No ":" for key-value pairs
Support for comparison operator identifiers
Singleton object expansion (e.g., a b c 1 becomes a: {b: {c: 1}})
=> operator absorbs everything up until the next separator into an object

Examples

Create

db people insert | name "Julian", age 19

db.people.insert({"name": "Julian", "age": 19});

db people insert | age 19, name => first "Julian", last "Rosenblum"

db.people.insert({"age": 19, "name": {"first": "Julian", "last": "Rosenblum"}});

db people insert | [ name "Julian", age 19 ; name "Glenna", age 21 ]

db.people.insert([{"name": "Julian", "age": 19}, {"name": "Glenna", "age": 21}]);

Read

db.people.find

db.people.find();

db inventory find | $or [ qty > 100 ; price < 9.95 ]

db.inventory.find({"$or": [{"qty": {"$gt": 100}}, {"price": {"$lt": 9.95}}]});

db inventory find | type $in ['food' ; 'snacks']

db.inventory.find({"type": {"$in": ["food", "snacks"]}});

db inventory find | ratings => $elemMatch => > 5, < 9

db.inventory.find({"ratings": {"$elemMatch": {"$gt": 5, "$lt": 9}}});

Update

db inventory update | manufacturer "XYZ Company" | $set details.model "14Q2" | multi true

db.inventory.update({"manufacturer": "XYZ Company"}, {"$set": {"details.model": "14Q2"}}, {"multi": true});

db inventory update | item "MNO2" | $set { category "apparel", details => model "14Q3", manufacturer "XYZ Company" }, $currentDate lastModified true

db.inventory.update({"item": "MNO2"}, {"$set": {"category": "apparel", "details": {"model": "14Q3", "manufacturer": "XYZ Company"}}, "$currentDate": {"lastModified": true}});

Delete

db people remove |

db.people.remove({});

db inventory remove | type "food" | 1

db.inventory.remove({"type": "food"}, 1);

Aggregation

db users aggregate | [ $project => name $toUpper "$_id", _id 0 ; $sort name 1 ]

db.users.aggregate([{"$project": {"name": {"$toUpper": "$_id"}, "_id": 0}}, {"$sort": {"name": 1}}]);

db users aggregate | [ $project month_joined $month "$joined" ; $group => _id month_joined "$month_joined", number $sum 1 ; $sort _id.month_joined 1 ]

db.users.aggregate([{"$project": {"month_joined": {"$month": "$joined"}}}, {"$group": {"_id": {"month_joined": "$month_joined"}, "number": {"$sum": 1}}}, {"$sort": {"_id.month_joined": 1}}]);

db zipcodes aggregate | [ $group => _id "$state", totalPop $sum "$pop" ; $match totalPop >= 10000000 ]

db.zipcodes.aggregate([{"$group": {"_id": "$state", "totalPop": {"$sum": "$pop"}}}, {"$match": {"totalPop": {"$gte": 10000000}}}]);

db zipcodes aggregate | [ $group => pop $sum "$pop", _id => state "$state", city "$city" ; $sort pop 1 ; $group => _id "$_id.state", biggestCity $last "$_id.city", biggestPop $last "$pop" ; $project => _id 0, state "$_id", biggestCity => name "$biggestCity", pop "$biggestPop" ]

db.zipcodes.aggregate([{"$group": {"pop": {"$sum": "$pop"}, "_id": {"state": "$state", "city": "$city"}}}, {"$sort": {"pop": 1}}, {"$group": {"_id": "$_id.state", "biggestCity": {"$last": "$_id.city"}, "biggestPop": {"$last": "$pop"}}}, {"$project": {"_id": 0, "state": "$_id", "biggestCity": {"name": "$biggestCity", "pop": "$biggestPop"}}}]);

jsrmath / monquey