Группа :: Development/Python3
Пакет: python3-module-pysyncobj
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Текущая версия: 0.3.12-alt1
Время сборки: 18 марта 2023, 09:03 ( 60.3 недели назад )
Размер архива: 58.22 Kb
Домашняя страница: https://github.com/bakwc/PySyncObj
Лицензия: MIT
О пакете: A library for replicating your python class between multiple servers, based on raft protocol
Описание:
Список всех майнтейнеров, принимавших участие
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ACL:
Время сборки: 18 марта 2023, 09:03 ( 60.3 недели назад )
Размер архива: 58.22 Kb
Домашняя страница: https://github.com/bakwc/PySyncObj
Лицензия: MIT
О пакете: A library for replicating your python class between multiple servers, based on raft protocol
Описание:
PySyncObj is a python library for building fault-tolerant distributed systems.
It provides the ability to replicate your application data between multiple
servers. It has following features:
* raft protocol for leader election and log replication
* Log compaction - it use fork for copy-on-write while serializing data on disk
* Dynamic membership changes - you can do it with syncobj_admin utility
or directly from your code
* Zero downtime deploy - no need to stop cluster to update nodes
* In-memory and on-disk serialization - you can use in-memory mode for small
data and on-disk for big one
* Encryption - you can set password and use it in external network
* Python2 and Python3 on linux, macos and windows - no dependencies required
(only optional one, eg. cryptography)
* Configurable event loop - it can works in separate thread with it's own event
loop - or you can call onTick function inside your own one
* Convenient interface - you can easily transform arbitrary class into a
replicated one (see example below).
Текущий майнтейнер: Andrey Cherepanov It provides the ability to replicate your application data between multiple
servers. It has following features:
* raft protocol for leader election and log replication
* Log compaction - it use fork for copy-on-write while serializing data on disk
* Dynamic membership changes - you can do it with syncobj_admin utility
or directly from your code
* Zero downtime deploy - no need to stop cluster to update nodes
* In-memory and on-disk serialization - you can use in-memory mode for small
data and on-disk for big one
* Encryption - you can set password and use it in external network
* Python2 and Python3 on linux, macos and windows - no dependencies required
(only optional one, eg. cryptography)
* Configurable event loop - it can works in separate thread with it's own event
loop - or you can call onTick function inside your own one
* Convenient interface - you can easily transform arbitrary class into a
replicated one (see example below).
Список всех майнтейнеров, принимавших участие
в данной и/или предыдущих сборках пакета: Список rpm-пакетов, предоставляемый данным srpm-пакетом:
- python3-module-pysyncobj