mongo-python-driver | PyMongo - the Official MongoDB Python driver | Database library

 by   mongodb Python Version: 4.4.0b0 License: Apache-2.0

kandi X-RAY | mongo-python-driver Summary

kandi X-RAY | mongo-python-driver Summary

mongo-python-driver is a Python library typically used in Database, MongoDB applications. mongo-python-driver has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install mongo-python-driver' or download it from GitHub, PyPI.

PyMongo - the Official MongoDB Python driver
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            kandi-support Support

              mongo-python-driver has a medium active ecosystem.
              It has 3857 star(s) with 1113 fork(s). There are 239 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              mongo-python-driver has no issues reported. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mongo-python-driver is 4.4.0b0

            kandi-Quality Quality

              mongo-python-driver has 0 bugs and 0 code smells.

            kandi-Security Security

              mongo-python-driver has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mongo-python-driver code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mongo-python-driver is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              mongo-python-driver releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 49525 lines of code, 4463 functions and 194 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mongo-python-driver and discovered the below as its top functions. This is intended to give you an instant insight into mongo-python-driver implemented functionality, and help decide if they suit your requirements.
            • Parse a URI
            • Parse the response and return the address tuple
            • Update the dictionary with the values from other
            • Resolve the URV
            • Run an operation
            • Convert a sequence of elements to a dictionary
            • Decode the given data
            • Convert data to a dict
            • Execute a pipeline
            • Count the number of documents in this collection
            • Insert multiple documents
            • Returns a list of distinct values
            • Delete multiple documents
            • Get a cursor for this aggregation target
            • Delete a single document
            • Inserts a document into the database
            • Renames this collection
            • Aggregate documents using a pipeline
            • Handle the OCSP packet
            • Remove stale sockets from the pool
            • Fetch a single message from the server
            • Update a single document
            • Authenticate using GSSAPI authentication
            • Replace one document matching the filter
            • Update multiple documents
            • Bulk write operations
            Get all kandi verified functions for this library.

            mongo-python-driver Key Features

            No Key Features are available at this moment for mongo-python-driver.

            mongo-python-driver Examples and Code Snippets

            twitterstream-to-mongodb,REQUIREMENTS,mongo-python-driver
            Pythondot img1Lines of Code : 4dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            pip install pymongo
            
            git clone git://github.com/mongodb/mongo-python-driver.git pymongo
            cd pymongo/
            python setup.py install
              
            Configuration Directives-MongoDB backend settings
            Pythondot img2Lines of Code : 0dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            The MongoDB backend requires the :mod:`pymongo` library:
            http://github.com/mongodb/mongo-python-driver/tree/master
            Additional keyword arguments to pass to the mongodb connection
            constructor.  See the :mod:`pymongo` docs to see a list of arguments
            sup  
            Import specific data from mongo to pandas dataframe
            Pythondot img3Lines of Code : 13dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            df = json_normalize(list(
                collection.aggregate([
                    {
                        "$match": query
                    },
                    {
                        "$replaceRoot": {
                            "newRoot": "$statement"
                        }
                    }
                ])
            )
            
            How to create new collection datatabase after each scraping execution?
            Pythondot img4Lines of Code : 25dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            client = MongoClient("mongodb://localhost:27017/")    
            
            # use variable db and collection names
            collection_name = subject
            collection = client["db2"][collection_name]     
            
            data = df.to_dict(orient = 'records')     
            collection.insert_many(da
            Fetching Data based on conditions using pymongo
            Pythondot img5Lines of Code : 2dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            find({"hum_pred": "null","ml_pred": {"$in": ["Valid", "Invalid"]}})
            
            Fetching Data based on conditions using pymongo
            Pythondot img6Lines of Code : 2dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            myData = list(crawlcol.find({"$and": [{"ml_pred": {"$ne": "null"}},{"hum_pred": {"$eq": "null"}}]}))
            
            Combining regex with $in operator in mongodb
            Pythondot img7Lines of Code : 6dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            query: dict = resumes_collection.find({
                        "first_name": {
                            "$regex": re.compile("|".join(s_list), re.I)
                        },
                    })
            
            copy iconCopy
            @client.command()
            async def makenotes(ctx, *, args):
                try:
                    check = await db.NoteBoyNotes.find_one({'_id':ctx.author.id})
                    if (check is None):
                        NotesUpdateDict = {'_id':ctx.author.id, 'notes':[]}
                        Not
            How can I get only a single value back in MongoDB (Pymongo)
            Pythondot img9Lines of Code : 33dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            db.collection.aggregate([
             {
              $match: {
                 Name: "The Team" , "Members.User": NumberLong("699724278526580847")
              }
             },
            {
            "$addFields": {
              "Members": {
                "$filter": {
                  "input": "$Members",
                  "as": "m",
                  "cond": {
                   
            How to transfer list from Python to Julia?
            Pythondot img10Lines of Code : 21dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import pickle
            with open("a.pkl","wb") as f:
                pickle.dump(a,f)
            
            julia> using Pickle
            
            julia> Pickle.load("a.pkl")
            2-element Vector{Any}:
             Any[Any[0, 1]]
             Any[Any[1, 0.5], Any[2, 0.5]]
            

            Community Discussions

            Trending Discussions on mongo-python-driver

            QUESTION

            allow_disk_use not working on cursor in PyMongo
            Asked 2020-Nov-18 at 21:30
            >>> from pymongo import MongoClient
            >>> client = MongoClient()
            >>> db = client['cvedb']
            >>> db.list_collection_names()
            ['cpeother', 'mgmt_blacklist', 'via4', 'capec', 'cves', 'mgmt_whitelist', 'ranking', 'cwe', 'info', 'cpe']
            >>> colCVE = db["cves"]
            
            >>> cve = colCVE.find().sort("Modified", -1) # this works
            
            >>> cve_ = colCVE.find().allow_disk_use(True).sort("Modified", -1) # this doesn't work
            AttributeError: 'Cursor' object has no attribute 'allow_disk_use'
            >>> cve_ = colCVE.find().sort("Modified", -1).allow_disk_use(True) # this doesn't work
            AttributeError: 'Cursor' object has no attribute 'allow_disk_use'
            >>> cve.allow_disk_use(True) # this doesn't work
            AttributeError: 'Cursor' object has no attribute 'allow_disk_use'
            >>>
            
            ...

            ANSWER

            Answered 2020-Oct-20 at 08:57

            In pymongo, you can use allowDiskUse in combination with aggregate:

            Source https://stackoverflow.com/questions/64425310

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mongo-python-driver

            You can install using 'pip install mongo-python-driver' or download it from GitHub, PyPI.
            You can use mongo-python-driver like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/mongodb/mongo-python-driver.git

          • CLI

            gh repo clone mongodb/mongo-python-driver

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            git@github.com:mongodb/mongo-python-driver.git

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