Skip to main content

distributed, rpc

Project description

Python Hydra

Hydra is a Python implementation of various capabilities used for multi-proces sand multi-host distributed processing and logic. It is design to encompass more and more functionality over time, as new common use cases are identified.

Hydra Distributed Queues

Hydra distribute queues are queues that can be accessed across multiple hosts. There are two types of queues. First, a source queue, where a single host serves a queue that allows a client to populate a common queue on one host, and allow other processes and hosts to get (pull) from this common queue. Secondly, a sink queue, where a single host serves a queue that allows other remote clients to put (push) items into the common queue. These are essentially mirrors of each other.

Motivation

Hydra distributed queues were motivated for use in multi-host, distributed Python testing. A single queue is created and populated with tests to be executed. Remote clients then pull from this queue to get the next test. Only one test is served to one client -- the one that happens to request the next item in the queue.

Likewise, the remote clients can push results to a single sink-queue for the main process to read and collate test results in a single place.

This type of set up allows for very efficient execution. As each client completes one test, it simply pulls the next available test for execution with minimal delay. The queues are joinable queues and the source-queue is a task-based queue that allows signaling start and end of each test executed.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_hydra-1.0.17.tar.gz (25.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

py_hydra-1.0.17-py3-none-any.whl (30.0 kB view details)

Uploaded Python 3

File details

Details for the file py_hydra-1.0.17.tar.gz.

File metadata

  • Download URL: py_hydra-1.0.17.tar.gz
  • Upload date:
  • Size: 25.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for py_hydra-1.0.17.tar.gz
Algorithm Hash digest
SHA256 cc14a9b6027ee87f90520482d5a0e24d1fbc09e85f497b320576ba4deda69e1e
MD5 409976a3fe913381cc3d2c1c3ef42dc7
BLAKE2b-256 73cd9bac207d9ae092eb4d73fbd9e3fda7be032f05f36db09e5881e1ed333942

See more details on using hashes here.

File details

Details for the file py_hydra-1.0.17-py3-none-any.whl.

File metadata

  • Download URL: py_hydra-1.0.17-py3-none-any.whl
  • Upload date:
  • Size: 30.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for py_hydra-1.0.17-py3-none-any.whl
Algorithm Hash digest
SHA256 e20eceedb667c7d00b17931947f6934fb47aac4ae024b2216353c66d7d015873
MD5 b22d95c0e22aff94b095e43898fee5f8
BLAKE2b-256 5793ef10108748217d21a0a5a3a845144181ed9bb97214d82d256000843e502d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page