redpanda-data / redpanda-data/benthos

Metrics remain after Stream deletion

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Go
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2d 1h
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Description

We are building an application using Redpanda connect.
When running in streams mode, if we delete the file corresponding to a specific stream, that stream is removed, but the associated metrics remain.

As we repeatedly create and delete streams with different names, the unused metrics accumulate, causing the heap to grow. This results in monotonically increasing memory usage.

Is it possible to have the corresponding metrics removed automatically when a stream is deleted?

## log of removing stream 
{"@service":"benthos","level":"info","msg":"Stream trigger-g config deleted, attempting to remove stream."}
{"@service":"benthos","level":"info","msg":"Removed stream trigger-g."}

## trigger-g metrics remain after stream deletion
processor_latency_ns{label="",path="root.pipeline.processors.2.catch.1",stream="trigger-g",quantile="0.5"} NaN
processor_latency_ns{label="",path="root.pipeline.processors.2.catch.1",stream="trigger-g",quantile="0.9"} NaN
processor_latency_ns{label="",path="root.pipeline.processors.2.catch.1",stream="trigger-g",quantile="0.99"} NaN
processor_latency_ns_sum{label="",path="root.pipeline.processors.2.catch.1",stream="trigger-g"} 0
processor_latency_ns_count{label="",path="root.pipeline.processors.2.catch.1",stream="trigger-g"} 0

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  4. Open a pull request that references the issue number.

Research direction

No source file or test is named in the report. Start by reproducing the issue in streams mode, delete a stream configuration, and trace the removal path alongside the metrics registry. Done means metrics for the deleted stream disappear and repeatedly creating and deleting streams no longer causes unused metrics or monotonic heap growth.

Written by the indexing model from the issue text.

Assessment

Tech stack
go
Domain
observability
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
50/100

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