pifpaf | Python fixtures and daemon managing tools for functional testing | Key Value Database library

by jd Python Version: 3.1.5 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pifpaf Summary

pifpaf is a Python library typically used in Database, Key Value Database applications. pifpaf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pifpaf' or download it from GitHub, PyPI.

Python fixtures and daemon managing tools for functional testing

Support

Quality

Security

License

Reuse

Support

pifpaf has a low active ecosystem.

It has 179 star(s) with 32 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 23 have been closed. On average issues are closed in 72 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pifpaf is 3.1.5

Quality

pifpaf has 0 bugs and 0 code smells.

Security

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

pifpaf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pifpaf 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.

Reuse

pifpaf releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

pifpaf saves you 1228 person hours of effort in developing the same functionality from scratch.

It has 2775 lines of code, 158 functions and 38 files.

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

Top functions reviewed by kandi - BETA

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

Setup the Ceph driver
Ensure Xattr is supported
Puts an environment variable
Execute a shell command
Sets up the configuration
Find a configuration file
Setup the driver
Render a template
Setup kafka server
Find an executable
Setup the Redis server
Set up configuration
Set up the mysql connection
Initialize the engine
Setup the Elasticsearch driver
Setup the zoo server
Sets up the connection
Setup the PostgreSQL server
Set up the memcached driver
Setup the qdrouterd
Setup the Aodh driver
Set up CouchDB
Terminate the parent process
Setup RabbitMQ
Start the server
Initialize Keystone

Get all kandi verified functions for this library.

pifpaf Key Features

No Key Features are available at this moment for pifpaf.

pifpaf Examples and Code Snippets

No Code Snippets are available at this moment for pifpaf.

Community Discussions

Trending Discussions on Key Value Database

Laravel how to "properly" store & retrieve models in a Redis hash

Can compacted Kafka topic be used as key-value database?

QUESTION

Laravel how to "properly" store & retrieve models in a Redis hash

Asked 2021-Jul-08 at 17:02

I'm developing a Laravel application & started using Redis as a caching system. I'm thinking of caching the data of all of a specific model I have, as a user may make an API request that this model is involved in quite often. Would a valid solution be storing each model in a hash, where the field is that record's unique ID, and the values are just the unique model's data, or is this use case too complicated for a simple key value database like Redis? I"m also curious as to how I would create model instances from the hash, when I retrieve all the data from it. Replies are appreciated!

...

ANSWER

Answered 2021-Jul-08 at 17:02

Short answer: Yes, you can store a model, or collections, or basically anything in the key-value caching of Redis. As long as the key provided is unique and can be retraced. Redis could even be used as a primary database.

Long answer

Ultimately, I think it depends on the implementation. There is a lot of optimization that can be done before someone can/should consider caching all models. For "simple" records that involve large datasets, I would advise to first optimize your queries and code and check the results. Examples:

Select only data you need, not entire models.
Use the Database Query Builder for interacting with the database when targeting large records, rather than Eloquent (Eloquent is significantly slower due to the Active Record pattern).
Consider using the toBase() method. This retrieves all data but does not create the Eloquent model, saving precious resources.
Use tools like the Laravel debugbar to analyze and discover potential long query loads.

For large datasets that do not change often or optimization is not possible anymore: caching is the way to go!

There is no right answer here, but maybe this helps you on your way! There are plenty of packages that implement similar behaviour.

Source https://stackoverflow.com/questions/68305332

QUESTION

Can compacted Kafka topic be used as key-value database?

Asked 2020-Nov-25 at 01:12

In many articles, I've read that compacted Kafka topics can be used as a database. However, when looking at the Kafka API, I cannot find methods that allow me to query a topic for a value based on a key.

So, can a compacted Kafka topic be used as a (high performance, read-only) key-value database?

In my architecture I want to feed a component with a compacted topic. And I'm wondering whether that component needs to have a replica of that topic in its local database, or whether it can use that compacted topic as a key value database instead.

...

ANSWER

Answered 2020-Nov-25 at 01:12

Compacted kafka topics themselves and basic Consumer/Producer kafka APIs are not suitable for a key-value database. They are, however, widely used as a backstore to persist KV Database/Cache data, i.e: in a write-through approach for instance. If you need to re-warmup your Cache for some reason, just replay the entire topic to repopulate.

In the Kafka world you have the Kafka Streams API which allows you to expose the state of your application, i.e: for your KV use case it could be the latest state of an order, by the means of queriable state stores. A state store is an abstraction of a KV Database and are actually implemented using a fast KV database called RocksDB which, in case of disaster, are fully recoverable because it's full data is persisted in a kafka topic, so it's quite resilient as to be a source of the data for your use case.

Imagine that this is your Kafka Streams Application architecture:

To be able to query these Kafka Streams state stores you need to bundle an HTTP Server and REST API in your Kafka Streams applications to query its local or remote state store (Kafka distributes/shards data across multiple partitions in a topic to enable parallel processing and high availability, and so does Kafka Streams). Because Kafka Streams API provides the metadata for you to know in which instance the key resides, you can surely query any instance and, if the key exists, a response can be returned regardless of the instance where the key lives.

With this approach, you can kill two birds in a shot:

Do stateful stream processing at scale with Kafka Streams
Expose its state to external clients in a KV Database query pattern style

All in a real-time, highly performant, distributed and resilient architecture.

The images were sourced from a wider article by Robert Schmid where you can find additional details and a prototype to implement queriable state stores with Kafka Streams.

Notable mention:

If you are not in the mood to implement all of this using the Kafka Streams API, take a look at ksqlDB from Confluent which provides an even higher level abstraction on top of Kafka Streams just using a cool and simple SQL dialect to achieve the same sort of use case using pull queries. If you want to prototype something really quickly, take a look at this answer by Robin Moffatt or even this blog post to get a grip on its simplicity.

While ksqlDB is not part of the Apache Kafka project, it's open-source, free and is built on top of the Kafka Streams API.

Source https://stackoverflow.com/questions/64996101

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

Vulnerabilities

No vulnerabilities reported

Install pifpaf

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