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Damien Grisonnet 55ec09d377 tools/events: fix data race when emitting series
There was a data race in the recordToSink function that caused changes
to the events cache to be overriden if events were emitted
simultaneously via Eventf calls.

The race lies in the fact that when recording an Event, there might be
multiple calls updating the cache simultaneously. The lock period is
optimized so that after updating the cache with the new Event, the lock
is unlocked until the Event is recorded on the apiserver side and then
the cache is locked again to be updated with the new value returned by
the apiserver.

The are a few problem with the approach:

1. If two identical Events are emitted successively the changes of the
   second Event will override the first one. In code the following
   happen:
   1. Eventf(ev1)
   2. Eventf(ev2)
   3. Lock cache
   4. Set cache[getKey(ev1)] = &ev1
   5. Unlock cache
   6. Lock cache
   7. Update cache[getKey(ev2)] = &ev1 + Series{Count: 1}
   8. Unlock cache
   9. Start attempting to record the first event &ev1 on the apiserver side.

   This can be mitigated by recording a copy of the Event stored in
   cache instead of reusing the pointer from the cache.

2. When the Event has been recorded on the apiserver the cache is
   updated again with the value of the Event returned by the server.
   This update will override any changes made to the cache entry when
   attempting to record the new Event since the cache was unlocked at
   that time. This might lead to some inconsistencies when dealing with
   EventSeries since the count may be overriden or the client might even
   try to record the first isomorphic Event multiple time.

   This could be mitigated with a lock that has a larger scope, but we
   shouldn't want to reflect Event returned by the apiserver in the
   cache in the first place since mutation could mess with the
   aggregation by either allowing users to manipulate values to update
   a different cache entry or even having two cache entries for the same
   Events.

Signed-off-by: Damien Grisonnet <dgrisonn@redhat.com>
2022-12-02 16:36:09 +01:00
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Kubernetes, also known as K8s, is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.

Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg, combined with best-of-breed ideas and practices from the community.

Kubernetes is hosted by the Cloud Native Computing Foundation (CNCF). If your company wants to help shape the evolution of technologies that are container-packaged, dynamically scheduled, and microservices-oriented, consider joining the CNCF. For details about who's involved and how Kubernetes plays a role, read the CNCF announcement.


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See our documentation on kubernetes.io.

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If you want to build Kubernetes right away there are two options:

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