DuckDB Redis Client Extension
June 13, 2025 ยท View on GitHub
DuckDB Redis Client Extension
This extension provides Redis client functionality for DuckDB, allowing you to interact with a Redis server directly from SQL queries.
Usage
INSTALL redis FROM community;
LOAD redis;
Experimental: USE AT YOUR OWN RISK!
Features
Currently supported Redis operations:
- String operations:
GET,SET,MGET - Hash operations:
HGET,HSET,HGETALL,HSCAN,HSCAN_OVER_SCAN - List operations:
LPUSH,LRANGE,LRANGE_TABLE - Key operations:
DEL,EXISTS,TYPE,SCAN,KEYS - Batch and discovery operations:
SCAN,HSCAN_OVER_SCAN,KEYS
Quick Reference: Available Functions
| Function | Type | Description |
|---|---|---|
redis_get(key, secret) | Scalar | Get value of a string key |
redis_set(key, value, secret) | Scalar | Set value of a string key |
redis_mget(keys_csv, secret) | Scalar | Get values for multiple keys (comma-separated) |
redis_hget(key, field, secret) | Scalar | Get value of a hash field |
redis_hset(key, field, value, secret) | Scalar | Set value of a hash field |
redis_lpush(key, value, secret) | Scalar | Push value to a list |
redis_lrange(key, start, stop, secret) | Scalar | Get range from a list (comma-separated) |
redis_del(key, secret) | Scalar | Delete a key (returns TRUE if deleted) |
redis_exists(key, secret) | Scalar | Check if a key exists (returns TRUE if exists) |
redis_type(key, secret) | Scalar | Get the type of a key |
redis_scan(cursor, pattern, count, secret) | Scalar | Scan keys (returns cursor:keys_csv) |
redis_hscan(key, cursor, pattern, count, secret) | Scalar | Scan fields in a hash |
redis_keys(pattern, secret) | Table | List all keys matching a pattern |
redis_hgetall(key, secret) | Table | List all fields and values in a hash |
redis_lrange_table(key, start, stop, secret) | Table | List elements in a list as rows |
redis_hscan_over_scan(scan_pattern, hscan_pattern, count, secret) | Table | For all keys matching scan_pattern, HSCAN with hscan_pattern, return (key, field, value) rows |
Installation
INSTALL redis FROM community;
LOAD redis;
Usage
Setting up Redis Connection
First, create a secret to store your Redis connection details:
-- Create a Redis connection secret
CREATE SECRET IF NOT EXISTS redis (
TYPE redis,
PROVIDER config,
host 'localhost',
port '6379',
password 'optional_password'
);
-- Create a Redis cloud connection secret
CREATE SECRET IF NOT EXISTS redis (
TYPE redis,
PROVIDER config,
host 'redis-1234.ec2.redns.redis-cloud.com',
port '16959',
password 'xxxxxx'
);
String Operations
-- Set a value
SELECT redis_set('user:1', 'John Doe', 'redis') as result;
-- Get a value
SELECT redis_get('user:1', 'redis') as user_name;
-- Set multiple values in a query
INSERT INTO users (id, name)
SELECT id, redis_set(
'user:' || id::VARCHAR,
name,
'my_redis'
)
FROM new_users;
Hash Operations
-- Set hash fields
SELECT redis_hset('user:1', 'email', 'john@example.com', 'redis');
SELECT redis_hset('user:1', 'age', '30', 'redis');
-- Get hash field
SELECT redis_hget('user:1', 'email', 'redis') as email;
-- Get all fields and values in a hash (table)
SELECT * FROM redis_hgetall('user:1', 'redis');
-- HSCAN a hash (pattern match fields)
SELECT redis_hscan('user:1', '0', 'email*', 100, 'redis');
-- HSCAN over SCAN: for all keys matching a pattern, get all hash fields matching a pattern
SELECT * FROM redis_hscan_over_scan('user:*', 'email*', 100, 'redis');
-- Store user profile as hash
WITH profile(id, field, value) AS (
VALUES
(1, 'name', 'John Doe'),
(1, 'email', 'john@example.com'),
(1, 'age', '30')
)
SELECT redis_hset(
'user:' || id::VARCHAR,
field,
value,
'redis'
)
FROM profile;
List Operations
-- Push items to list
SELECT redis_lpush('mylist', 'first_item', 'redis');
SELECT redis_lpush('mylist', 'second_item', 'redis');
-- Get range from list (returns comma-separated values)
SELECT redis_lrange('mylist', 0, -1, 'redis') as items;
-- Get all items in a list as rows (table)
SELECT * FROM redis_lrange_table('mylist', 0, -1, 'redis');
-- Push multiple items
WITH items(value) AS (
VALUES ('item1'), ('item2'), ('item3')
)
SELECT redis_lpush('mylist', value, 'redis')
FROM items;
Key Operations
-- List all keys matching a pattern (table)
SELECT * FROM redis_keys('user:*', 'redis');
-- Delete a key
SELECT redis_del('user:1', 'redis');
-- Check if a key exists
SELECT redis_exists('user:1', 'redis');
-- Get the type of a key
SELECT redis_type('user:1', 'redis');
Batch and Discovery Operations
-- Get multiple keys at once
SELECT redis_mget('key1,key2,key3', 'redis') as values;
-- Scan keys matching a pattern
SELECT redis_scan('0', 'user:*', 10, 'redis') as result;
-- Scan all keys matching a pattern (recursive)
WITH RECURSIVE scan(cursor, keys) AS (
SELECT split_part(redis_scan('0', 'user:*', 10, 'redis'), ':', 1),
split_part(redis_scan('0', 'user:*', 10, 'redis'), ':', 2)
UNION ALL
SELECT split_part(redis_scan(cursor, 'user:*', 10, 'redis'), ':', 1),
split_part(redis_scan(cursor, 'user:*', 10, 'redis'), ':', 2)
FROM scan
WHERE cursor != '0'
)
SELECT keys FROM scan;
Error Handling
The extension functions will throw exceptions with descriptive error messages when:
- Redis secret is not found or invalid
- Unable to connect to Redis server
- Network communication errors occur
- Invalid Redis protocol responses are received
Building from Source
Follow the standard DuckDB extension build process:
# Install vcpkg dependencies
./vcpkg/vcpkg install boost-asio
# Build the extension
make
Future Enhancements
Planned features include:
- Table functions for scanning Redis keys
- Additional Redis commands (SADD, SMEMBERS, etc.)
- Batch operations using Redis pipelines
- Connection timeout handling