PynamoDB | A pythonic interface to Amazon 's DynamoDB | AWS library

by pynamodb Python Version: 6.0a0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | PynamoDB Summary

PynamoDB is a Python library typically used in Cloud, AWS, Amazon S3, DynamoDB applications. PynamoDB 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 PynamoDB' or download it from GitHub, PyPI.

A pythonic interface to Amazon's DynamoDB

Support

Quality

Security

License

Reuse

Support

PynamoDB has a medium active ecosystem.

It has 2157 star(s) with 420 fork(s). There are 40 watchers for this library.

There were 3 major release(s) in the last 6 months.

There are 205 open issues and 354 have been closed. On average issues are closed in 233 days. There are 52 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PynamoDB is 6.0a0

Quality

PynamoDB has 0 bugs and 0 code smells.

Security

PynamoDB has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PynamoDB code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PynamoDB is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

PynamoDB releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

PynamoDB saves you 6239 person hours of effort in developing the same functionality from scratch.

It has 13572 lines of code, 836 functions and 58 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed PynamoDB and discovered the below as its top functions. This is intended to give you an instant insight into PynamoDB implemented functionality, and help decide if they suit your requirements.

Make an API call .
Perform a batch get operation .
Commits the batch operations .
Initializes the attributes for the given class .
Queries the given hash table .
Serialize the attributes .
Replace all names in a document path .
Returns a schema for the attributes .
Execute the next operation .
Gets the attribute map .

Get all kandi verified functions for this library.

PynamoDB Key Features

No Key Features are available at this moment for PynamoDB.

PynamoDB Examples and Code Snippets

Graphene-PynamoDB ,Examples

Python

Lines of Code : 45

License : Permissive (MIT)

Copy

from uuid import uuid4
from pynamodb.attributes import UnicodeAttribute
from pynamodb.models import Model


class User(Model):
    class Meta:
        table_name = "my_users"
        host = "http://localhost:8000"

    id = UnicodeAttribute(hash_key=

Falcano,Basic Usage

Python

Lines of Code : 29

License : Permissive (MIT)

Copy

from falcano.model import Model
from falcano.attributes import UnicodeAttribute

class User(Model):
    '''
    A DynamoDB User
    '''
    class Meta(Model.Meta):
        table_name = 'dynamodb-user'
        billing_mode = 'PAY_PER_REQUEST'
    emai

Python Serverless Crawler Demo,Python 크롤링 시작하기,serverless-crawler/requirements.txt

Python

Lines of Code : 6

License : Permissive (MIT)

Copy

beautifulsoup4==4.9.1
pynamodb==4.3.3
python-dateutil==2.6.1
zappa==0.51.0

(venv) ec2-user:~/environment/serverless-crawler $ pip install -r requirements.txt

Community Discussions

Trending Discussions on PynamoDB

PynamoDB Error for Local Secondary Index: ValueError('Table table_4 has no index: key1_index',)

Does the bulk write operation in DynamoDB utilize a multi-threading strategy?

Package built by Poetry is missing runtime dependencies

Error while using Global Secondary index in dynamodb in python

QUESTION

PynamoDB Error for Local Secondary Index: ValueError('Table table_4 has no index: key1_index',)

Asked 2022-Mar-17 at 05:45

I am new to pynamodb and I'm trying to query on LSI (already defined in dynamodb main table) and getting the following Exception.

...

ANSWER

Answered 2022-Mar-17 at 05:45

So basically, when defining LSI Model in pynamodb, please make sure the Meta class attribute names are the same as mentioned in the doc - https://pynamodb.readthedocs.io/en/latest/indexes.html

In the above instance, I did the following mistake due to which I was getting ValueError('table table_4 doesn't have key1_index') Exception.

In MetaClass of LSI_Model Class, I used the wrong attribute name 'index' instead of 'index_name'. I have updated the code and now it works fine.

Source https://stackoverflow.com/questions/71502440

QUESTION

Does the bulk write operation in DynamoDB utilize a multi-threading strategy?

Asked 2021-Dec-11 at 13:34

I'm writing entries into a DynamoDB table:

...

ANSWER

Answered 2021-Dec-11 at 10:32

I suspect this is slow

Correct, you're not taking advantage of the BatchWriteItem API which allows you to write up to 16 MB of data (or a max of 25 creation/delete requests).

It is essentially a bulk of PutItem and/or DeleteItem requests (note that you cannot update an item via BatchWriteItem however). Not using this API means that you are losing out on performance & network improvements that come with AWS combining the update operations in one go.

Does it also use a multi-threading strategy?

No, it doesn't need to particularly - an interface to the bulk API is all that is needed.

The main speed improvement will come from batch processing on AWS's side, not locally.

Is the PynamoDB implementation better than using concurrent.futures to do bulk writes?

Yes because it is important that the bulk API is actually used, not how the data is iterated, for the maximum benefit.

Your concurrent.futures implementation will be faster than your original code but still doesn't take advantage of the BatchWriteItem API. You are speeding up how you're calling AWS but you're still sending a request per item in my_big_map.items() and that is what will be taking up the most time.

PynamoDB seems to be using the bulk API from taking a look at the source code regardless of whether you use context managers or iterators so you will be better off using the PynamoDB implementation which will also handle pagination of items etc. for you under the hood.

The important part is that you use the BatchWriteItem API, which will give you the speed improvement you are looking for.

PynamoDB's batch writing will let you do this (as well as AWS's Boto3).

Source https://stackoverflow.com/questions/70312773

QUESTION

Package built by Poetry is missing runtime dependencies

Asked 2021-Nov-04 at 02:15

I've been working on a project which so far has just involved building some cloud infrastructure, and now I'm trying to add a CLI to simplify running some AWS Lambdas. Unfortunately both the sdist and wheel packages built using poetry build don't seem to include the dependencies, so I have to manually pip install all of them to run the command. Basically I

run poetry build in the project,
cd "$(mktemp --directory)",
python -m venv .venv,
. .venv/bin/activate,
pip install /path/to/result/of/poetry/build/above, and then
run the new .venv/bin/ executable.

At this point the executable fails, because pip did not install any of the package dependencies. If I pip show PACKAGE the Requires line is empty.

The Poetry manual doesn't seem to specify how to link dependencies to the built package, so what do I have to do instead?

I am using some optional dependencies, could that be interfering with the build process? To be clear, even non-optional dependencies do not show up in the package dependencies.

pyproject.toml:

...

ANSWER

Answered 2021-Nov-04 at 02:15

This appears to be a bug in Poetry. Or at least it's not clear from the documentation what the expected behavior would be in a case such as yours.

In your pyproject.toml, you specify two dependencies as required in this section:

Source https://stackoverflow.com/questions/69763090

QUESTION

Error while using Global Secondary index in dynamodb in python

Asked 2020-Jul-24 at 13:40

I have created a global secondary index in AWS dynamodb where In user table in which I am using the phone as GSI. I am getting an error with the message:

'Table UsersTable has no index: PHONE_INDEX'.

Below is the code snippet for the user table and phone as GSI. I am unable to figure out the reason why I am getting this error.

...

ANSWER

Answered 2020-Jul-24 at 13:40

I was getting this error as I have not added global secondary index in my cloudformation template file.

Source https://stackoverflow.com/questions/62892498

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

Vulnerabilities

No vulnerabilities reported

Install PynamoDB

You can install using 'pip install PynamoDB' or download it from GitHub, PyPI.
You can use PynamoDB 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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