111 lines
3.2 KiB
Go
111 lines
3.2 KiB
Go
package kafka
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import (
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"time"
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js "github.com/S7evinK/saramajetstream"
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"github.com/Shopify/sarama"
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"github.com/matrix-org/dendrite/setup/config"
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"github.com/matrix-org/naffka"
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naffkaStorage "github.com/matrix-org/naffka/storage"
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"github.com/nats-io/nats.go"
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"github.com/sirupsen/logrus"
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)
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func SetupConsumerProducer(cfg *config.Kafka) (sarama.Consumer, sarama.SyncProducer) {
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if cfg.UseNaffka {
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return setupNaffka(cfg)
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}
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if cfg.UseNATS {
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return setupNATS(cfg)
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}
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return setupKafka(cfg)
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}
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// setupKafka creates kafka consumer/producer pair from the config.
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func setupKafka(cfg *config.Kafka) (sarama.Consumer, sarama.SyncProducer) {
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sCfg := sarama.NewConfig()
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sCfg.Producer.MaxMessageBytes = *cfg.MaxMessageBytes
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sCfg.Producer.Return.Successes = true
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sCfg.Consumer.Fetch.Default = int32(*cfg.MaxMessageBytes)
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consumer, err := sarama.NewConsumer(cfg.Addresses, sCfg)
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if err != nil {
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logrus.WithError(err).Panic("failed to start kafka consumer")
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}
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producer, err := sarama.NewSyncProducer(cfg.Addresses, sCfg)
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if err != nil {
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logrus.WithError(err).Panic("failed to setup kafka producers")
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}
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return consumer, producer
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}
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// In monolith mode with Naffka, we don't have the same constraints about
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// consuming the same topic from more than one place like we do with Kafka.
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// Therefore, we will only open one Naffka connection in case Naffka is
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// running on SQLite.
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var naffkaInstance *naffka.Naffka
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// setupNaffka creates kafka consumer/producer pair from the config.
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func setupNaffka(cfg *config.Kafka) (sarama.Consumer, sarama.SyncProducer) {
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if naffkaInstance != nil {
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return naffkaInstance, naffkaInstance
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}
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naffkaDB, err := naffkaStorage.NewDatabase(string(cfg.Database.ConnectionString))
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if err != nil {
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logrus.WithError(err).Panic("Failed to setup naffka database")
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}
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naffkaInstance, err = naffka.New(naffkaDB)
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if err != nil {
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logrus.WithError(err).Panic("Failed to setup naffka")
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}
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return naffkaInstance, naffkaInstance
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}
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func setupNATS(cfg *config.Kafka) (sarama.Consumer, sarama.SyncProducer) {
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logrus.WithField("servers", cfg.Addresses).Debug("connecting to nats")
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nc, err := nats.Connect(cfg.Addresses[0])
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if err != nil {
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logrus.WithError(err).Panic("failed to connect to nats")
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return nil, nil
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}
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s, err := nc.JetStream()
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if err != nil {
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logrus.WithError(err).Panic("unable to get jetstream context")
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return nil, nil
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}
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// create a stream for every topic
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for _, topic := range config.KafkaTopics {
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sn := cfg.TopicFor(topic)
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stream, err := s.StreamInfo(sn)
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if err != nil {
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logrus.WithError(err).Warn("unable to get stream info")
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}
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if stream == nil {
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maxLifeTime := time.Second * 0
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// Typing events can be removed from the stream, as they are only relevant for a short time
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if topic == config.TopicOutputTypingEvent {
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maxLifeTime = time.Second * 30
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}
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_, _ = s.AddStream(&nats.StreamConfig{
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Name: sn,
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Subjects: []string{topic},
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MaxBytes: int64(*cfg.MaxMessageBytes),
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MaxMsgSize: int32(*cfg.MaxMessageBytes),
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MaxAge: maxLifeTime,
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Duplicates: maxLifeTime / 2,
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})
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}
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}
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consumer := js.NewJetStreamConsumer(s, cfg.TopicPrefix)
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producer := js.NewJetStreamProducer(s, cfg.TopicPrefix)
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return consumer, producer
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}
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