Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.

Prefect Community

Hey,
We are developing a flow where a lot of JSON records get queried (in a Task). To save on memory resources, I've configured Result Persistence on the Task, but I'm now noticing a build up of memory usage of a serializer object. When are results serialized and when is this memory released?

Build up of memory usage by serializer.py:
```/usr/local/lib/python3.9/site-packages/prefect/serializers.py:147: size=70.3 MiB, count=427649, average=172 B
...
/usr/local/lib/python3.9/site-packages/prefect/serializers.py:147: size=73.4 MiB, count=450775, average=171 B```
Task decorator:
```@task(cache_result_in_memory=False)```

Hey <@U03TARCJ7TK> how did you configure the result persistence on the task? What is the output of your  `PREFECT_RESULTS_PERSIST_BY_DEFAULT`  when you run `prefect config view` ?

Hi Kalise, I've already put up an issue on Github, so it is close to being solved I believe :slightly_smiling_face: <https://github.com/PrefectHQ/prefect/issues/7624>