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Retry scheduling on StorageClass events
**What this PR does / why we need it**:
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes#56163
**Special notes for your reviewer**:
I have taken over #60006.
It's hard to test in e2e, because we cannot know reschedule of pod is triggered by which event (periodically service/node events will move pods to active queue too). ~~I'll add integration tests for this functionality after [this PR](https://github.com/kubernetes/kubernetes/pull/65296) get merged.~~ (already added)
**Release note**:
```release-note
NONE
```
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remove unused code in pkg/scheduler/algorithm/scheduler_interface_test.go
**What this PR does / why we need it**:
remove unused code in pkg/scheduler/algorithm/scheduler_interface_test.go
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes #
**Special notes for your reviewer**:
**Release note**:
```release-note
NONE
```
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Invalidate CheckVolumeBinding predicate only when VolumeScheduling feature is enabled
**What this PR does / why we need it**:
Invalidate CheckVolumeBinding predicate only when VolumeScheduling feature is enabled.
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes #
**Special notes for your reviewer**:
**Release note**:
```release-note
NONE
```
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replace predicates string with corresponding const in TestDefaultPredicates
**What this PR does / why we need it**:
replace predicates string with corresponding const in TestDefaultPredicates. Unify with the const in func defaultPredicates().
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes #
**Special notes for your reviewer**:
**Release note**:
```release-note
NONE
```
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Improve unit test TestZeroRequest
**What this PR does / why we need it**:
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes#66468
**Special notes for your reviewer**:
**Release note**:
```release-note
NONE
```
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Extender preemption should respect IsInterested()
**What this PR does / why we need it**:
Extender preemption should respect IsInterested()
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes#66289
**Special notes for your reviewer**:
The bug is reported and the first commit is co-authored by: @chenchun
**Release note**:
```release-note
Extender preemption should respect IsInterested()
```
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use subtest for table units (pkg/scheduler/core)
**What this PR does / why we need it**: Update scheduler's unit table tests to use subtest
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
**Special notes for your reviewer**:
breaks up PR: https://github.com/kubernetes/kubernetes/pull/63281
/ref #63267
**Release note**:
```release-note
This PR will leverage subtests on the existing table tests for the scheduler units.
Some refactoring of error/status messages and functions to align with new approach.
```
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Fix volume limit for EBS on m5 and c5 instances
This is a fix for lower volume limits on m5 and c5 instance types while we wait for https://github.com/kubernetes/features/issues/554 to land GA.
This problem became urgent because many of our users are trying to migrate to those instance types in light of spectre/meltdown vulnerability but lower volume limit on those instance types often causes cluster instability. Yes they can workaround by configuring the scheduler with lower limit but often this becomes somewhat difficult to do when cluster is mixed.
The newer default limits were picked from https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/volume_limits.html
Text about spectre/meltdown is available on - https://community.bitnami.com/t/spectre-variant-2/54961/5
/sig storage
/sig scheduling
```release-note
Fix volume limit for EBS on m5 and c5 instance types
```
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Re-design equivalence class cache to two level cache
**What this PR does / why we need it**:
The current ecache introduced a global lock across all the nodes, and this patch tried to assign ecache per node to eliminate that global lock. The improvement of scheduling performance and throughput are both significant.
**CPU Profile Result**
Machine: 32-core 60GB GCE VM
1k nodes 10k pods bench test (we've highlighted the critical function):
1. Current default scheduler with ecache enabled:
![equivlance class cache bench test 001](https://user-images.githubusercontent.com/1701782/42196992-51b0a32a-7eb3-11e8-89ee-f13383091a00.jpeg)
2. Current default scheduler with ecache disabled:
![equivlance class cache bench test 002](https://user-images.githubusercontent.com/1701782/42196993-51eb0c68-7eb3-11e8-9326-1a7762072863.jpeg)
3. Current default scheduler with this patch and ecache enabled:
![equivlance class cache bench test 003](https://user-images.githubusercontent.com/1701782/42196994-52280ed8-7eb3-11e8-8100-690e2af2cf2f.jpeg)
**Throughput Test Result**
1k nodes 3k pods `scheduler_perf` test:
Current default scheduler, ecache is disabled:
```bash
Minimal observed throughput for 3k pod test: 200
PASS
ok k8s.io/kubernetes/test/integration/scheduler_perf 30.091s
```
With this patch, ecache is enabled:
```bash
Minimal observed throughput for 3k pod test: 556
PASS
ok k8s.io/kubernetes/test/integration/scheduler_perf 11.119s
```
**Design and implementation:**
The idea is: we re-designed ecache into a "two level cache".
The first level cache holds the global lock across nodes and sync is needed only when node is added or deleted, which is of much lower frequency.
The second level cache is assigned per node and its lock is restricted to per node level, thus there's no need to bother the global lock during whole predicate process cycle. For more detail, please check [the original discussion](https://github.com/kubernetes/kubernetes/issues/63784#issuecomment-399848349).
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes#63784
**Special notes for your reviewer**:
~~Tagged as WIP to make sure this does not break existing code and tests, we can start review after CI is happy.~~
**Release note**:
```release-note
Re-design equivalence class cache to two level cache
```
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use subtest for table units (pkg/scheduler/factory)
**What this PR does / why we need it**: Update scheduler's unit table tests to use subtest
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
**Special notes for your reviewer**:
breaks up PR: https://github.com/kubernetes/kubernetes/pull/63281
/ref #63267
**Release note**:
```release-note
This PR will leverage subtests on the existing table tests for the scheduler units.
Some refactoring of error/status messages and functions to align with new approach.
```
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Enable adaptive scoring in ImageLocalityPriority
**What this PR does / why we need it**:
This PR replaces the original, pure image-size based scoring to an adaptive scoring scheme. The new scoring scheme considers not only the image size but also its `"spread" `- the definition of `"spread"` is described in what follows:
> Given an image`i`, `spread_i = num_node_has_i / total_num_nodes`
And the image receives the score: `score_i = size_i * spread_i`, as proposed by @resouer. The final node score is the summation of image scores for all images found existing on the node that are mentioned in the pod spec.
The goal of this heuristic is to better _balance image locality with other scheduling policies_. In particular, it aims to mitigate and prevent the undesirable "node heating problem", _i.e._, pods get assigned to the same or a few nodes due to preferred image locality. Given an image, the larger `spread` it has the more image locality we can consider for it - since we can expect more nodes having this image.
The new image state information in scheduler cache, enabled in this PR, allows other potential heuristics to be explored.
**Special notes for your reviewer**:
@resouer
Additional unit tests are WIP.
**Release note**:
```release-note
NONE
```
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scheduler: update tests to use sub-benchmarks (pkg/scheduler/cache)
**What this PR does / why we need it**:
Go 1.7 added the subtest feature which can make table-driven tests much easier to run and debug. Some tests are not using this feature.
Further reading: [Using Subtests and Sub-benchmarks](https://blog.golang.org/subtests)
/kind cleanup
**Release note**:
```release-note
NONE
```
Automatic merge from submit-queue. If you want to cherry-pick this change to another branch, please follow the instructions <a href="https://github.com/kubernetes/community/blob/master/contributors/devel/cherry-picks.md">here</a>.
Fix scheduler config decoding
Fixes#65413
Implements a custom unmarshaler for a single scheduler config type which did not correctly specify JSON tags until https://github.com/kubernetes/kubernetes/issues/65414 is resolved
Adds missing compatibility tests for scheduler extenders back to 1.7
```release-note
Fixes incompatibility with custom scheduler extender configurations specifying `bindVerb`
```
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Improve scheduler's performance by eliminating sorting of nodes by their score
**What this PR does / why we need it**:
Profiling scheduler, I noticed that scheduler spends a significant amount of time in sorting the nodes after we score them to find nodes with the highest score. Finding nodes with the highest score does not need sorting the array. This PR replaces the sort with a linear scan.
Eliminating the sort results in over 10% improvement in throughput of the scheduler.
Before (3 runs for 5000 nodes, scheduling 1000 pods in a cluster running 2000 pods):
BenchmarkScheduling/5000Nodes/2000Pods-12 1000 20682552 ns/op
BenchmarkScheduling/5000Nodes/2000Pods-12 1000 20464729 ns/op
BenchmarkScheduling/5000Nodes/2000Pods-12 1000 21188906 ns/op
After:
BenchmarkScheduling/5000Nodes/2000Pods-12 1000 18485866 ns/op
BenchmarkScheduling/5000Nodes/2000Pods-12 1000 18457749 ns/op
BenchmarkScheduling/5000Nodes/2000Pods-12 1000 18418200 ns/op
**Release note**:
```release-note
Improve scheduler's performance by eliminating sorting of nodes by their score.
```
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Add more conditions to the list of predicate failures that won't be resolved by preemption
**What this PR does / why we need it**:
Adds more conditions to the list of predicate failures that won't be resolved by preemption. This change can potentially improve performance of preemption by avoiding the nodes that won't be able to schedule the pending pod no matter how many other pods are removed from them.
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes #
**Special notes for your reviewer**:
**Release note**:
```release-note
Add more conditions to the list of predicate failures that won't be resolved by preemption.
```
/sig scheduling
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Fix some typos in code comments.
Signed-off-by: xiechengsheng <XIE1995@whut.edu.cn>
**What this PR does / why we need it**:
Fix some typos in code comments.
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
NONE
**Special notes for your reviewer**:
**Release note**:
```release-note
NONE
```
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Split scheduler latency metric to fine-grained steps
This splits the summary metric we recently added into finer steps. It should be very useful for performance experiments.
/cc @wojtek-t
fyi - @bsalamat @misterikkit
Strictly speaking this is a breaking change, but since this metric was added only ~week ago I think it should fine (we should port this change to 1.11).
```release-note
Split 'scheduling_latency_seconds' metric into finer steps (predicate, priority, premption)
```