Commit 2b89178
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## Summary of changes
In Exception Replay, the exception could be in one of several phases.
Two of these phases are `Done` and `Invalidated`.
- `Done`: The exception has already been captured and is waiting for the
next epoch to be wakened up.
- `Invalidated`: None of the frames could be captured, reporting tags
that tend to assist in understanding the reasoning for troubleshooting.
To be able to capture those phases as quick as possible, a cache is used
for a lookup before performing intensive calculation on the
`System.Exception` object itself, since the execution path is hot and
run as part of unwinding the request with an exception. The lookup key
used to be simply **Fnv1a** hashing of `exception.ToString()` of the
exception reaching the service root span.
Basing the hashing on `exception.ToString()` lead to scenarios where two
identical exceptions seemed different based on one of various factors;
non-deterministic participating frame, exception messages, PDB info
(file path + line number), etc.
To be able to determine quickly in which phase the exception is in
without performing costly computations, a new way of hashing is required
that should cleanse the exceptions in a way that two _similar_ exception
should fall into the same case, even though their stack traces are not
identical. Also, the new algorithm should be as performant as possible
with as little temporal allocations as possible - they play part every
time a service root span is finalized with an exception.
## Reason for change
Improve the experience of Exception Replay where we failed to report an
exception due to failure in determining if the exception is in `Done` /
`Invalidated` phases, as a result of it's previous occurrence looking a
bit different.
## Implementation details
A new class, `ExceptionNormalizer`, has been added that takes as input
the string representation of the exception alongside it's outermost
exception type, and one level deep of inner exception. It cleanses the
exception from the aforementioned attributes, and performs a more
fine-grained hash that shall have a better distribution based on the
actual exception, leaving out all the non-relevant bits that might
differ.
## Test coverage
[ExceptionNormalizerTests](https://github.com/DataDog/dd-trace-dotnet/blob/821e4860632a8fcb258bbbe74506249cb6865659/tracer/test/Datadog.Trace.Debugger.IntegrationTests/ExceptionNormalizerTests.cs)
with approvals on the hash + string representing the cleansed stack
trace.
## Other details
Fixes #DEBUG-2674
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- Datadog.Tracer.Native
- Datadog.Trace/Debugger/ExceptionAutoInstrumentation
- test/Datadog.Trace.Debugger.IntegrationTests
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