2017-07-13 10:41:30 +00:00
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// Copyright 2017 Vector Creations Ltd
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Package input contains the code processes new room events
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2020-09-02 16:13:15 +00:00
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package input
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2017-07-13 10:41:30 +00:00
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import (
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2017-09-13 12:37:50 +00:00
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"context"
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2017-07-13 10:41:30 +00:00
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"encoding/json"
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2020-08-20 15:24:33 +00:00
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"sync"
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2020-09-03 14:22:16 +00:00
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"time"
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2017-07-13 10:41:30 +00:00
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2020-04-22 14:26:56 +00:00
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"github.com/Shopify/sarama"
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2017-07-13 10:41:30 +00:00
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"github.com/matrix-org/dendrite/roomserver/api"
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2020-09-02 16:13:15 +00:00
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"github.com/matrix-org/dendrite/roomserver/storage"
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"github.com/matrix-org/gomatrixserverlib"
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2020-06-12 11:10:08 +00:00
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log "github.com/sirupsen/logrus"
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2020-09-03 14:22:16 +00:00
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"go.uber.org/atomic"
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2017-07-13 10:41:30 +00:00
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)
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2020-09-02 16:13:15 +00:00
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type Inputer struct {
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DB storage.Database
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Producer sarama.SyncProducer
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ServerName gomatrixserverlib.ServerName
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OutputRoomEventTopic string
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2020-09-03 14:22:16 +00:00
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workers sync.Map // room ID -> *inputWorker
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}
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type inputTask struct {
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ctx context.Context
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event *api.InputRoomEvent
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wg *sync.WaitGroup
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err error // written back by worker, only safe to read when all tasks are done
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}
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type inputWorker struct {
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r *Inputer
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running atomic.Bool
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input chan *inputTask
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}
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func (w *inputWorker) start() {
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if !w.running.CAS(false, true) {
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return
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}
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defer w.running.Store(false)
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for {
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select {
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case task := <-w.input:
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_, task.err = w.r.processRoomEvent(task.ctx, task.event)
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task.wg.Done()
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case <-time.After(time.Second * 5):
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return
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}
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}
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2020-09-02 16:13:15 +00:00
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}
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2017-08-08 15:38:03 +00:00
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// WriteOutputEvents implements OutputRoomEventWriter
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func (r *Inputer) WriteOutputEvents(roomID string, updates []api.OutputEvent) error {
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messages := make([]*sarama.ProducerMessage, len(updates))
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for i := range updates {
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value, err := json.Marshal(updates[i])
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if err != nil {
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return err
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}
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2020-06-12 11:10:08 +00:00
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logger := log.WithFields(log.Fields{
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"room_id": roomID,
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"type": updates[i].Type,
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})
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if updates[i].NewRoomEvent != nil {
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logger = logger.WithFields(log.Fields{
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"event_type": updates[i].NewRoomEvent.Event.Type(),
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"event_id": updates[i].NewRoomEvent.Event.EventID(),
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"adds_state": len(updates[i].NewRoomEvent.AddsStateEventIDs),
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"removes_state": len(updates[i].NewRoomEvent.RemovesStateEventIDs),
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"send_as_server": updates[i].NewRoomEvent.SendAsServer,
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"sender": updates[i].NewRoomEvent.Event.Sender(),
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})
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}
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logger.Infof("Producing to topic '%s'", r.OutputRoomEventTopic)
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2017-08-08 15:38:03 +00:00
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messages[i] = &sarama.ProducerMessage{
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Topic: r.OutputRoomEventTopic,
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Key: sarama.StringEncoder(roomID),
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Value: sarama.ByteEncoder(value),
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}
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}
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2017-08-08 15:38:03 +00:00
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return r.Producer.SendMessages(messages)
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}
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2020-05-01 09:48:17 +00:00
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// InputRoomEvents implements api.RoomserverInternalAPI
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2020-09-02 16:13:15 +00:00
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func (r *Inputer) InputRoomEvents(
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ctx context.Context,
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request *api.InputRoomEventsRequest,
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response *api.InputRoomEventsResponse,
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) error {
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// Create a wait group. Each task that we dispatch will call Done on
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// this wait group so that we know when all of our events have been
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// processed.
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wg := &sync.WaitGroup{}
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wg.Add(len(request.InputRoomEvents))
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tasks := make([]*inputTask, len(request.InputRoomEvents))
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2020-08-20 15:24:33 +00:00
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for i, e := range request.InputRoomEvents {
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2020-09-03 14:22:16 +00:00
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// Work out if we are running per-room workers or if we're just doing
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// it on a global basis (e.g. SQLite).
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2020-08-20 15:24:33 +00:00
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roomID := "global"
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if r.DB.SupportsConcurrentRoomInputs() {
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roomID = e.Event.RoomID()
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}
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2020-09-03 14:22:16 +00:00
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// Look up the worker, or create it if it doesn't exist. This channel
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// is buffered to reduce the chance that we'll be blocked by another
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// room - the channel will be quite small as it's just pointer types.
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w, _ := r.workers.LoadOrStore(roomID, &inputWorker{
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r: r,
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input: make(chan *inputTask, 10),
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})
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worker := w.(*inputWorker)
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// Create a task. This contains the input event and a reference to
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// the wait group, so that the worker can notify us when this specific
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// task has been finished.
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tasks[i] = &inputTask{
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ctx: ctx,
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event: &request.InputRoomEvents[i],
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wg: wg,
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}
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// Send the task to the worker.
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go worker.start()
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worker.input <- tasks[i]
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}
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// Wait for all of the workers to return results about our tasks.
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wg.Wait()
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// If any of the tasks returned an error, we should probably report
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// that back to the caller.
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for _, task := range tasks {
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if task.err != nil {
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return task.err
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2017-08-21 15:37:11 +00:00
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}
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}
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2017-07-13 10:41:30 +00:00
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return nil
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}
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