mirror of
https://github.com/matrix-org/dendrite
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61963a74ae
* Flesh out structure for handling device list updates for room membership changes * First cut untested algorithm * Add tests for determining changed/left device lists * Linting * Unbreak tests * Sigh.. linting
124 lines
4.7 KiB
Go
124 lines
4.7 KiB
Go
// 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 internal
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import (
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"context"
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"fmt"
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"github.com/Shopify/sarama"
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"github.com/matrix-org/dendrite/internal/sqlutil"
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)
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// A PartitionStorer has the storage APIs needed by the consumer.
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type PartitionStorer interface {
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// PartitionOffsets returns the offsets the consumer has reached for each partition.
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PartitionOffsets(ctx context.Context, topic string) ([]sqlutil.PartitionOffset, error)
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// SetPartitionOffset records where the consumer has reached for a partition.
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SetPartitionOffset(ctx context.Context, topic string, partition int32, offset int64) error
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}
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// A ContinualConsumer continually consumes logs even across restarts. It requires a PartitionStorer to
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// remember the offset it reached.
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type ContinualConsumer struct {
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// The kafkaesque topic to consume events from.
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// This is the name used in kafka to identify the stream to consume events from.
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Topic string
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// A kafkaesque stream consumer providing the APIs for talking to the event source.
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// The interface is taken from a client library for Apache Kafka.
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// But any equivalent event streaming protocol could be made to implement the same interface.
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Consumer sarama.Consumer
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// A thing which can load and save partition offsets for a topic.
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PartitionStore PartitionStorer
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// ProcessMessage is a function which will be called for each message in the log. Return an error to
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// stop processing messages. See ErrShutdown for specific control signals.
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ProcessMessage func(msg *sarama.ConsumerMessage) error
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// ShutdownCallback is called when ProcessMessage returns ErrShutdown, after the partition has been saved.
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// It is optional.
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ShutdownCallback func()
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}
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// ErrShutdown can be returned from ContinualConsumer.ProcessMessage to stop the ContinualConsumer.
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var ErrShutdown = fmt.Errorf("shutdown")
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// Start starts the consumer consuming.
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// Starts up a goroutine for each partition in the kafka stream.
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// Returns nil once all the goroutines are started.
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// Returns an error if it can't start consuming for any of the partitions.
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func (c *ContinualConsumer) Start() error {
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_, err := c.StartOffsets()
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return err
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}
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// StartOffsets is the same as Start but returns the loaded offsets as well.
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func (c *ContinualConsumer) StartOffsets() ([]sqlutil.PartitionOffset, error) {
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offsets := map[int32]int64{}
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partitions, err := c.Consumer.Partitions(c.Topic)
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if err != nil {
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return nil, err
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}
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for _, partition := range partitions {
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// Default all the offsets to the beginning of the stream.
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offsets[partition] = sarama.OffsetOldest
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}
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storedOffsets, err := c.PartitionStore.PartitionOffsets(context.TODO(), c.Topic)
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if err != nil {
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return nil, err
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}
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for _, offset := range storedOffsets {
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// We've already processed events from this partition so advance the offset to where we got to.
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// ConsumePartition will start streaming from the message with the given offset (inclusive),
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// so increment 1 to avoid getting the same message a second time.
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offsets[offset.Partition] = 1 + offset.Offset
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}
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var partitionConsumers []sarama.PartitionConsumer
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for partition, offset := range offsets {
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pc, err := c.Consumer.ConsumePartition(c.Topic, partition, offset)
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if err != nil {
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for _, p := range partitionConsumers {
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p.Close() // nolint: errcheck
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}
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return nil, err
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}
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partitionConsumers = append(partitionConsumers, pc)
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}
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for _, pc := range partitionConsumers {
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go c.consumePartition(pc)
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}
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return storedOffsets, nil
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}
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// consumePartition consumes the room events for a single partition of the kafkaesque stream.
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func (c *ContinualConsumer) consumePartition(pc sarama.PartitionConsumer) {
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defer pc.Close() // nolint: errcheck
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for message := range pc.Messages() {
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msgErr := c.ProcessMessage(message)
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// Advance our position in the stream so that we will start at the right position after a restart.
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if err := c.PartitionStore.SetPartitionOffset(context.TODO(), c.Topic, message.Partition, message.Offset); err != nil {
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panic(fmt.Errorf("the ContinualConsumer failed to SetPartitionOffset: %w", err))
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}
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// Shutdown if we were told to do so.
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if msgErr == ErrShutdown {
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if c.ShutdownCallback != nil {
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c.ShutdownCallback()
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}
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return
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}
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}
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}
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