mongo-python-driver | PyMongo - the Official MongoDB Python driver | Database library
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
PyMongo - the Official MongoDB Python driver
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Quality
Security
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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.
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
Quality
mongo-python-driver has 0 bugs and 0 code smells.
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.
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.
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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
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pip install pymongo
git clone git://github.com/mongodb/mongo-python-driver.git pymongo
cd pymongo/
python setup.py install
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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
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df = json_normalize(list(
collection.aggregate([
{
"$match": query
},
{
"$replaceRoot": {
"newRoot": "$statement"
}
}
])
)
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client = MongoClient("mongodb://localhost:27017/")
# use variable db and collection names
collection_name = subject
collection = client["db2"][collection_name]
data = df.to_dict(orient = 'records')
collection.insert_many(da
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find({"hum_pred": "null","ml_pred": {"$in": ["Valid", "Invalid"]}})
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myData = list(crawlcol.find({"$and": [{"ml_pred": {"$ne": "null"}},{"hum_pred": {"$eq": "null"}}]}))
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query: dict = resumes_collection.find({
"first_name": {
"$regex": re.compile("|".join(s_list), re.I)
},
})
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@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
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db.collection.aggregate([
{
$match: {
Name: "The Team" , "Members.User": NumberLong("699724278526580847")
}
},
{
"$addFields": {
"Members": {
"$filter": {
"input": "$Members",
"as": "m",
"cond": {
Copy
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 08:57In pymongo, you can use allowDiskUse
in combination with aggregate
:
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.
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 .
Find more information at:
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