Issue: Old data is getting fetched from redis

[S2h5]

Hi Everybody.
We’re experiencing an issue fetching data from Redis. Although we can successfully save new or updated values, our fetch operations continue to return stale data. We’re storing everything under a hash key and using Jedis 4.3.1 with AWS ElastiCache.

Has anyone encountered this before? Any suggestions on how to investigate or resolve ?

Do let me know if any further information is required.

[ggivo]

Hey,

I’m not entirely sure what you mean by “our fetch operations continue to return stale data.” It would be helpful if you could share a small code example showing the actual vs. expected behavior — that would help us get on the same page.

Based on the current information, it’s hard to pinpoint the issue. The first step I’d suggest is isolating the problem and creating a minimal reproducible example.

You may have already tried this, but throwing some ideas I’d recommend checking:
• Can you reproduce the issue against a local Redis instance?
• Have you tested with the latest version of Jedis?

[S2h5]

So I am using below code to save the data:
private RedisTemplate<String,Object> redisTemplate;
redisTemplate.opsForHash().put(HASH_KEY,key,data);

Code to fetch the data:
redisTemplate.opsForHash().get(HASH_KEY,key)

For the key I'm saving Json data which is encrypted.
I accessed the same data through AWS console and was able to fetch the correct data but through code it's picking up the old data and not the updated one.

Yes I have tried reproducing the same in local and uat but it's not reproducible. It's working fine in the lower env. I am facing this issue only in Production env.
I have not tested with latest version of Jedis as this is not feasible for me.

Please suggest if there is any other troubleshooting advice.

[ggivo]

Thanks for the additional details.

Since the correct data appears in the ElastiCache console and the issue isn’t reproducible in other environments, it’s unclear whether this is related to Jedis itself, Spring Data Redis, or the underlying infrastructure.

In this case, the root cause isn’t clearly pointing to Jedis. I’d recommend trying to isolate the behavior by testing with plain Jedis (without Spring) against the same production environment. Try reading directly with a low-level Redis client, such as Jedis, to confirm what is stored under the exact key.

In addition,throwing some ideas worth double-checking:

• Wrong Key Serialization
  • Since you mentioned encryption and JSON, confirm that:
  • You are encrypting/decrypting consistently between write and read.
  • You’re using the exact same key (and serialization) in both operations.
  • There’s no accidental overwrite due to encryption output being the same for different values (unlikely but worth checking).
• Concurrency
  • Is it possible that the read happens before the write operation completes or is flushed? Especially under high load?

Hope it helps

[S2h5]

I verified my code for the issues you suggested but it those are not the cause of the issue.

I will try to test it by using plain Jedi and since it is my production environment I'll try and see which suggestions I can implement and will update accordingly.