Python captures redis exception

Scenario recurrence

Use python's redis package to connect to redis and deliberately set a wrong password, but found that it did not raise an exception

Environment

System: win 10

Python version: 3.6.8

Initial code

import redis
host = "127.0.0.1"
port = 6379
password = "123456"
redis_conn = redis.Redis(host=host,port=port,password)

After testing, we found that after creating the connection object, we When querying through the conn object, it threw a password error exception

Capture the redis connection exception code

import redis
host = "127.0.0.1"
port = 6379
password = "123456"
try:
    redis_conn = redis.Redis(host=host,port=port,password)
    # 在创建连接后执行一个查询操作
    redis_conn.client_list()
except redis.ConnectError as err:
    print(str(err))

The above is the detailed content of How to catch redis exception in Python. For more information, please follow other related articles on the PHP Chinese website!

Statement

This article is reproduced at:亿速云. If there is any infringement, please contact admin@php.cn delete

Redis: Improving Application Performance and ScalabilityApr 17, 2025 am 12:16 AM

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis: Exploring Its Data Model and StructureApr 16, 2025 am 12:09 AM

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis: Classifying Its Database ApproachApr 15, 2025 am 12:06 AM

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.

Why Use Redis? Benefits and AdvantagesApr 14, 2025 am 12:07 AM

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Understanding NoSQL: Key Features of RedisApr 13, 2025 am 12:17 AM

Key features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.

Redis: Identifying Its Primary FunctionApr 12, 2025 am 12:01 AM

The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

Redis: A Guide to Popular Data StructuresApr 11, 2025 am 12:04 AM

Redis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.

How to implement redis counterApr 10, 2025 pm 10:21 PM

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

See all articles