Skip to main content

A GraphQL interface for Redis Database.

Project description

GredisQL

A GraphQL interface for Redis Database.

Version Information

Current Version: 0.0.9

Update History

Version 0.0.9 (Latest)

  • Added support for Redis Sorted Sets operations
  • Added support for Redis Hash operations
  • Improved type handling for GraphQL responses
  • Fixed GraphQL schema type definitions
  • Added comprehensive test suite

Version 0.0.8

  • Added support for Redis List operations
  • Added support for Redis Set operations
  • Improved error handling

Version 0.0.7

  • Initial release with basic Redis operations
  • Support for String operations
  • Basic GraphQL interface implementation

How To Install

pip install gredisql

If you find this project interesting, you can always appreciate it by giving it a Star. :D

A Background of GredisQL

background_image

Motivation

  1. I was bored, been sick for a while, had to lie on the bed. So I needed to create something.
  2. Redis has Web interface ( actually a REST interface), so I urged to build one in GraphQL.
  3. There are some pretty amazing GraphQL libraries around python echo system, I wanted to try them.
  4. Last but not least, jump into quick coding session, engage and nurture the human mind. LOL

Design Philosophy

  1. All the data mutation and query are not separated here by action and most probably all the actions are performed via query operation.
  2. Technically all the requests sent to the GraphQL server was in POST, so I was initially okay with the implementation.
  3. Strawberry-Graphql is kind of server agnostic so either you can use ASGI or WSGI counterpart.
  4. Currently limiting the implementation with WSGI server, but I've plan to adopt ASGI in the journey, to support subscription.
  5. Not all Redis commands are found in the implementation, I'll try to cover it in the process.

Inspiration and Tools I used

  1. redis==5.0.0 is used to communicate with the Redis database.
  2. strawberry-graphql is used to do the heavy lifting. Also, I tried ariadne which is also another cool tool to try with.

Features and Future Plans

  1. String Commands

    • GET, SET, MSET, MGET
    • INCRBY, DECRBY, INCRBYFLOAT
    • APPEND, GETEX, GETDEL
    • EXPIRE, EXPIREAT
    • KEYS, EXISTS, DELETE
  2. List Commands

    • LPUSH, RPUSH
    • LPOP, RPOP
    • LRANGE
    • LLEN
  3. Set Commands

    • SADD, SCARD
    • SDIFF, SDIFFSTORE
    • SINTER, SINTERSTORE
    • SISMEMBER, SMEMBERS
    • SMOVE, SPOP
  4. Hash Commands

    • HSET, HGET
    • HGETALL
    • HDEL
    • HLEN
    • HKEYS, HVALS
  5. Sorted Set Commands

    • ZADD
    • ZRANGE, ZREVRANGE
    • ZCARD
    • ZSCORE
    • ZREM
    • ZCOUNT

And many more to come in the future iteration.

Example GraphQL Queries

String Operations

query {
  set(name: "mykey", value: "myvalue")
  get(name: "mykey")
  mset(
    mappings: [
      { key: "key1", value: "value1" }
      { key: "key2", value: "value2" }
    ]
  )
  mget(keys: ["key1", "key2"])
}

List Operations

query {
  lpush(name: "mylist", values: ["one", "two", "three"])
  lrange(name: "mylist", start: 0, end: -1)
  llen(name: "mylist")
}

Hash Operations

query {
  hset(name: "myhash", key: "field1", value: "value1")
  hget(name: "myhash", key: "field1")
  hgetall(name: "myhash")
}

Sorted Set Operations

query {
  zadd(name: "myset", mapping: {"member1": 1.0, "member2": 2.0})
  zrange(name: "myset", start: 0, end: -1, withscores: true)
  zcard(name: "myset")
}

Quick Starting the GraphQL Server

if __name__ == "__main__":
    from gredisql.core import Server

    server = Server()
    server.run()

You can specify the host, port and debug mode in while instantiating the GraphQL server. Simply write,

if __name__ == "__main__":

    REDIS_HOST = 'redis-4343.c8.us-east-1-4.ec2.cloud.redislabs.com'
    REDIS_PORT = 16292
    REDIS_PASSWORD = 'your-secret-password'

    from gredisql.core import Server

    server = Server(
         REDIS_HOST=REDIS_HOST,
         REDIS_PORT=REDIS_PORT,
         REDIS_PASSWORD=REDIS_PASSWORD
    )
    server.run()

Now navigate to http://localhost:5055/graphql and voilà.

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

gredisql-0.0.11.tar.gz (6.6 kB view details)

Uploaded Source

Built Distribution

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

gredisql-0.0.11-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file gredisql-0.0.11.tar.gz.

File metadata

  • Download URL: gredisql-0.0.11.tar.gz
  • Upload date:
  • Size: 6.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for gredisql-0.0.11.tar.gz
Algorithm Hash digest
SHA256 3b288dadcaf25a96895f6f19f6a73bf1c05ee057322d69ec6a43c41352c6e5d5
MD5 da89ffbf7034aa0b7a7dd97e8351ef5a
BLAKE2b-256 6f1eaff49f5fee361daf695b1c89f67558449ca7fbac5d14e5624fdd065a3bf0

See more details on using hashes here.

File details

Details for the file gredisql-0.0.11-py3-none-any.whl.

File metadata

  • Download URL: gredisql-0.0.11-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.10

File hashes

Hashes for gredisql-0.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 04f9aad50011783533c7920285750e27bca4edf3f8f6907106058ed32a5fba23
MD5 70655b3bae6626c5a73d89e6dfea6060
BLAKE2b-256 e98dc32d65f098bf361ab00c0cf558593831e1b9fc385e87159950a1bc44a0ea

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