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[main] Upgrade to latest dependencies #817
[main] Upgrade to latest dependencies #817
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Codecov Report
@@ Coverage Diff @@
## main #817 +/- ##
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Coverage 76.53% 76.53%
Complexity 439 439
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Files 77 77
Lines 2924 2924
Branches 133 133
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Hits 2238 2238
Misses 535 535
Partials 151 151
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bumping knative.dev/eventing e745733...97c0d30: > 97c0d30 upgrade to latest dependencies (# 5263) bumping knative.dev/pkg b51994e...b80a192: > b80a192 Improve state reporting in kube checks (# 2082) Signed-off-by: Knative Automation <automation@knative.team>
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: pierDipi The full list of commands accepted by this bot can be found here. The pull request process is described here
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…ions#817) * Cache init offsets results When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Add autoscaler leader log patch Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> --------- Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> Co-authored-by: Pierangelo Di Pilato <pierdipi@redhat.com>
…ions#817) * Cache init offsets results When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Add autoscaler leader log patch Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> --------- Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> Co-authored-by: Pierangelo Di Pilato <pierdipi@redhat.com>
When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com>
When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com>
When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com>
When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com>
When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com>
* Make SecretSpec field of consumers Auth omitempty (knative-extensions#780) * Expose init offset and schedule metrics for ConsumerGroup reconciler (knative-extensions#790) (knative-extensions#791) Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Fix channel finalizer logic (knative-extensions#3295) (knative-extensions#795) Signed-off-by: Calum Murray <cmurray@redhat.com> Co-authored-by: Calum Murray <cmurray@redhat.com> Co-authored-by: Pierangelo Di Pilato <pierdipi@redhat.com> * [release-v1.10] SRVKE-958: Cache init offsets results (knative-extensions#817) * Cache init offsets results When there is high load and multiple consumer group schedule calls, we get many `dial tcp 10.130.4.8:9092: i/o timeout` errors when trying to connect to Kafka. This leads to increased "time to readiness" for consumer groups. The downside of caching is that, in the case, partitions increase while the result is cached we won't initialize the offsets of the new partitions. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Add autoscaler leader log patch Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> --------- Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> Co-authored-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Scheduler handle overcommitted pods (knative-extensions#820) Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> Co-authored-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Set consumer and consumergroups finalizers when creating them (knative-extensions#823) It is possible that a delete consumer or consumergroup might be reconciled and never finalized when it is deleted before the finalizer is set. This happens because the Knative generated reconciler uses patch (as opposed to using update) for setting the finalizer and patch doesn't have any optimistic concurrency controls. Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> Co-authored-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Clean up reserved from resources that have been scheduled (knative-extensions#830) In a recent testing run, we've noticed we have have a scheduled `ConsumerGroup` [1] (see placements) being considered having reserved replicas in a different pod [2]. That makes the scheduler think that there is no space but the autoscaler says we have enough space to hold every virtual replica. [1] ``` $ k describe consumergroups -n ks-multi-ksvc-0 c9ee3490-5b4b-4d11-87af-8cb2219d9fe3 Name: c9ee3490-5b4b-4d11-87af-8cb2219d9fe3 Namespace: ks-multi-ksvc-0 ... Status: Conditions: Last Transition Time: 2023-09-06T19:58:27Z Reason: Autoscaler is disabled Status: True Type: Autoscaler Last Transition Time: 2023-09-06T21:41:13Z Status: True Type: Consumers Last Transition Time: 2023-09-06T19:58:27Z Status: True Type: ConsumersScheduled Last Transition Time: 2023-09-06T21:41:13Z Status: True Type: Ready Observed Generation: 1 Placements: Pod Name: kafka-source-dispatcher-6 Vreplicas: 4 Pod Name: kafka-source-dispatcher-7 Vreplicas: 4 Replicas: 8 Subscriber Uri: http://receiver5-2.ks-multi-ksvc-0.svc.cluster.local Events: <none> ``` [2] ``` "ks-multi-ksvc-0/c9ee3490-5b4b-4d11-87af-8cb2219d9fe3": { "kafka-source-dispatcher-3": 8 }, ``` Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> Co-authored-by: Pierangelo Di Pilato <pierdipi@redhat.com> * Ignore unknown fields in data plane contract (knative-extensions#3335) (knative-extensions#828) Signed-off-by: Calum Murray <cmurray@redhat.com> --------- Signed-off-by: Pierangelo Di Pilato <pierdipi@redhat.com> Signed-off-by: Calum Murray <cmurray@redhat.com> Co-authored-by: Martin Gencur <mgencur@redhat.com> Co-authored-by: Matthias Wessendorf <mwessend@redhat.com> Co-authored-by: Calum Murray <cmurray@redhat.com> Co-authored-by: OpenShift Cherrypick Robot <openshift-cherrypick-robot@redhat.com>
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