Redis XPENDING in Python (Detailed Guide w/ Code Examples)

Use Case(s)

The XPENDING command in Redis is commonly used to obtain information about pending messages in a stream. This is especially useful in a scenario where you are implementing a messaging system using Redis Streams and you want to track unacknowledged messages.

Code Examples

Let's consider an example where we have a stream 'mystream' and a consumer group 'mygroup'. We'll use the redis-py, a Redis client for Python.

import redis r = redis.Redis(host='localhost', port=6379, db=0) # Create a stream and add a message to it r.xadd('mystream', {'message': 'Hello'}) # Create a consumer group r.xgroup_create('mystream', 'mygroup') # Read from the stream as a specific consumer in the group r.xreadgroup('mygroup', 'consumer1', {'mystream': '>'}, count=1) # Check for pending messages pending_messages = r.xpending('mystream', 'mygroup') print(pending_messages)

In this example, we first establish a connection to our Redis server. Then, we create a stream named 'mystream' and add a message to it. We create a consumer group 'mygroup' and read once from the stream as a consumer. The xreadgroup operation will leave a message as unacknowledged (or "pending") since we didn't acknowledge it using xack. Finally, we call xpending on our stream and group, which will return information about the pending messages.

Best Practices

  • Always acknowledge messages after processing them to prevent them from staying in the pending entries list.
  • Use XPENDING regularly to monitor your system. It gives you insights about potential issues like a high number of unacknowledged messages which might be due to slow consumers or errors in message processing.

Common Mistakes

  • Neglecting to monitor pending messages can lead to issues as unacknowledged messages might pile up and consume increasing memory.


Q: Can I get detailed information about each pending message?
A: Yes, XPENDING can also return detailed information about every pending message when it's called with additional arguments: name of consumer group, start, end, and count.

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