Redis Hash Examples

This notebook demonstrates how to work with Redis Hashes using redis-py. Hashes are maps between string fields and string values, making them perfect for representing objects (e.g., a user profile).

import redis

r = redis.Redis(host='localhost', port=6379, decode_responses=True)

Set and get a single field

r.hset('user:1', 'name', 'Alice')
print(r.hget('user:1', 'name'))  # Alice

Alice

Set multiple fields at once

r.hset('user:1', mapping={
    'name': 'Alice',
    'age': '30',
    'email': 'alice@example.com'
})
print(r.hgetall('user:1'))

{'name': 'Alice', 'age': '30', 'email': 'alice@example.com'}

Check if a field exists

print(r.hexists('user:1', 'email'))   # True
print(r.hexists('user:1', 'phone'))   # False

True
False

Get all fields and values

Note that Redis does not guarantee any particular order for hash fields, so don’t rely on the order of the hkeys() and hvals() results.

print(r.hkeys('user:1'))
print(r.hvals('user:1'))
print(r.hlen('user:1'))     # 3

['name', 'age', 'email']
['Alice', '30', 'alice@example.com']
3

Increment a numeric field

r.hset('user:1', 'age', '30')
r.hincrby('user:1', 'age', 1)
print(r.hget('user:1', 'age'))  # 31

31

Delete a field

r.hdel('user:1', 'email')
print(r.hgetall('user:1'))  # email is gone

{'name': 'Alice', 'age': '31'}

Cleanup

r.delete('user:1')

1