mirror of
https://github.com/go-gitea/gitea
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68731c07c5
In profiling integration tests, I found a couple places where per-test overhead could be reduced: * Avoiding disk IO by synchronizing instead of deleting & copying test Git repository data. This saves ~100ms per test on my machine * When flushing queues in `PrintCurrentTest`, invoke `FlushWithContext` in a parallel. --------- Co-authored-by: wxiaoguang <wxiaoguang@gmail.com>
116 lines
3.4 KiB
Go
116 lines
3.4 KiB
Go
// Copyright 2019 The Gitea Authors. All rights reserved.
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// SPDX-License-Identifier: MIT
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package queue
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import (
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"context"
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"errors"
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"sync"
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"time"
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"code.gitea.io/gitea/modules/log"
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"code.gitea.io/gitea/modules/setting"
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)
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// Manager is a manager for the queues created by "CreateXxxQueue" functions, these queues are called "managed queues".
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type Manager struct {
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mu sync.Mutex
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qidCounter int64
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Queues map[int64]ManagedWorkerPoolQueue
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}
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type ManagedWorkerPoolQueue interface {
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GetName() string
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GetType() string
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GetItemTypeName() string
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GetWorkerNumber() int
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GetWorkerActiveNumber() int
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GetWorkerMaxNumber() int
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SetWorkerMaxNumber(num int)
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GetQueueItemNumber() int
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// FlushWithContext tries to make the handler process all items in the queue synchronously.
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// It is for testing purpose only. It's not designed to be used in a cluster.
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// Negative timeout means discarding all items in the queue.
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FlushWithContext(ctx context.Context, timeout time.Duration) error
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// RemoveAllItems removes all items in the base queue (on-the-fly items are not affected)
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RemoveAllItems(ctx context.Context) error
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}
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var manager *Manager
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func init() {
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manager = &Manager{
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Queues: make(map[int64]ManagedWorkerPoolQueue),
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}
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}
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func GetManager() *Manager {
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return manager
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}
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func (m *Manager) AddManagedQueue(managed ManagedWorkerPoolQueue) {
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m.mu.Lock()
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defer m.mu.Unlock()
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m.qidCounter++
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m.Queues[m.qidCounter] = managed
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}
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func (m *Manager) GetManagedQueue(qid int64) ManagedWorkerPoolQueue {
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m.mu.Lock()
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defer m.mu.Unlock()
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return m.Queues[qid]
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}
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func (m *Manager) ManagedQueues() map[int64]ManagedWorkerPoolQueue {
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m.mu.Lock()
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defer m.mu.Unlock()
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queues := make(map[int64]ManagedWorkerPoolQueue, len(m.Queues))
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for k, v := range m.Queues {
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queues[k] = v
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}
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return queues
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}
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// FlushAll tries to make all managed queues process all items synchronously, until timeout or the queue is empty.
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// It is for testing purpose only. It's not designed to be used in a cluster.
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// Negative timeout means discarding all items in the queue.
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func (m *Manager) FlushAll(ctx context.Context, timeout time.Duration) error {
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var finalErrors []error
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qs := m.ManagedQueues()
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for _, q := range qs {
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if err := q.FlushWithContext(ctx, timeout); err != nil {
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finalErrors = append(finalErrors, err)
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}
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}
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return errors.Join(finalErrors...)
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}
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// CreateSimpleQueue creates a simple queue from global setting config provider by name
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func CreateSimpleQueue[T any](ctx context.Context, name string, handler HandlerFuncT[T]) *WorkerPoolQueue[T] {
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return createWorkerPoolQueue(ctx, name, setting.CfgProvider, handler, false)
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}
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// CreateUniqueQueue creates a unique queue from global setting config provider by name
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func CreateUniqueQueue[T any](ctx context.Context, name string, handler HandlerFuncT[T]) *WorkerPoolQueue[T] {
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return createWorkerPoolQueue(ctx, name, setting.CfgProvider, handler, true)
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}
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func createWorkerPoolQueue[T any](ctx context.Context, name string, cfgProvider setting.ConfigProvider, handler HandlerFuncT[T], unique bool) *WorkerPoolQueue[T] {
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queueSetting, err := setting.GetQueueSettings(cfgProvider, name)
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if err != nil {
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log.Error("Failed to get queue settings for %q: %v", name, err)
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return nil
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}
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w, err := NewWorkerPoolQueueWithContext(ctx, name, queueSetting, handler, unique)
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if err != nil {
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log.Error("Failed to create queue %q: %v", name, err)
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return nil
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}
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GetManager().AddManagedQueue(w)
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return w
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}
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