raftos | Asynchronous replication framework for distributed Python | Key Value Database library

by zhebrak Python Version: 0.2.6 License: MIT

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

kandi X-RAY | raftos Summary

raftos is a Python library typically used in Database, Key Value Database applications. raftos 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 raftos' or download it from GitHub, PyPI.

Asynchronous replication framework based on Raft Algorithm for fault-tolerant distributed systems. Whenever the leader falls, someone takes its place.

Support

Quality

Security

License

Reuse

Support

raftos has a low active ecosystem.

It has 292 star(s) with 32 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 7 have been closed. On average issues are closed in 6 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of raftos is 0.2.6

Quality

raftos has 0 bugs and 0 code smells.

Security

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

raftos code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

raftos 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

raftos 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.

Installation instructions are not available. Examples and code snippets are available.

raftos saves you 394 person hours of effort in developing the same functionality from scratch.

It has 937 lines of code, 138 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Receive an append entry request
Erase from the cache
Get the leader object
Set the leader
Decorator to validate that a term is less than the given term
Change the leader state to follower
Change the state of the process
Validate that the commit index is applied
Apply the given command to the pipeline
Receive a vote response
Set the leader to the leader
Decorator to ensure that the leader is in the leader
Block until the leader is received
Called when an append entry is received
Calculate the commit index
Register new nodes
Start the connection
Update the object with the given kwargs
Send data to destination
Run the callback
The main loop
Delete a key from the cache
Wait until the leader is met
Configure the instance
Add entries to follower

Get all kandi verified functions for this library.

raftos Key Features

No Key Features are available at this moment for raftos.

raftos Examples and Code Snippets

No Code Snippets are available at this moment for raftos.

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 raftos

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