-
Notifications
You must be signed in to change notification settings - Fork 100
/
KafkaProducerConnection.scala
167 lines (145 loc) · 4.97 KB
/
KafkaProducerConnection.scala
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
/*
* Copyright 2018-2024 OVO Energy Limited
*
* SPDX-License-Identifier: Apache-2.0
*/
package fs2.kafka
import scala.annotation.nowarn
import cats.effect.*
import cats.syntax.all.*
import fs2.*
import fs2.kafka.internal.*
import fs2.kafka.internal.converters.collection.*
import fs2.kafka.producer.MkProducer
import org.apache.kafka.common.Metric
import org.apache.kafka.common.MetricName
import org.apache.kafka.common.PartitionInfo
/**
* [[KafkaProducerConnection]] represents a connection to a Kafka broker that can be used to create
* [[KafkaProducer]] instances. All [[KafkaProducer]] instances created from an given
* [[KafkaProducerConnection]] share a single underlying connection.
*/
sealed abstract class KafkaProducerConnection[F[_]] {
def produce[K: KeySerializer[F, *], V: ValueSerializer[F, *]](
records: ProducerRecords[K, V]
): F[F[ProducerResult[K, V]]]
def metrics: F[Map[MetricName, Metric]]
/**
* Creates a new [[KafkaProducer]] using the provided serializers.
*
* {{{
* KafkaProducerConnection.stream[F].using(settings).map(_.withSerializers(keySerializer, valueSerializer))
* }}}
*/
def withSerializers[K, V](
keySerializer: KeySerializer[F, K],
valueSerializer: ValueSerializer[F, V]
): KafkaProducer.PartitionsFor[F, K, V]
/**
* Creates a new [[KafkaProducer]] in the `F` context, using serializers from the specified
* [[ProducerSettings]].
*
* {{{
* KafkaProducerConnection.stream[F].using(settings).evalMap(_.withSerializersFrom(settings))
* }}}
*/
def withSerializersFrom[K, V](
settings: ProducerSettings[F, K, V]
): Resource[F, KafkaProducer.PartitionsFor[F, K, V]]
def partitionsFor(
topic: String
): F[List[PartitionInfo]]
}
object KafkaProducerConnection {
/**
* Creates a new [[KafkaProducerConnection]] in the `Stream` context, using the specified
* [[ProducerSettings]].
*
* {{{
* KafkaProducerConnection.stream[F](settings)
* }}}
*/
def stream[F[_]](
settings: ProducerSettings[F, ?, ?]
)(implicit
F: Async[F],
mk: MkProducer[F]
): Stream[F, KafkaProducerConnection[F]] = streamIn(settings)(F, F, mk)
/**
* Like [[stream]], but allows use of different effect types for the allocating `Stream` and the
* allocated `KafkaProducerConnection`.
*/
def streamIn[F[_], G[_]](
settings: ProducerSettings[G, ?, ?]
)(implicit
F: Async[F],
G: Async[G],
mk: MkProducer[F]
): Stream[F, KafkaProducerConnection[G]] = Stream.resource(resourceIn(settings)(F, G, mk))
/**
* Creates a new [[KafkaProducerConnection]] in the `Resource` context, using the specified
* [[ProducerSettings]].
*
* {{{
* KafkaProducerConnection.resource[F](settings)
* }}}
*/
def resource[F[_]](
settings: ProducerSettings[F, ?, ?]
)(implicit
F: Async[F],
mk: MkProducer[F]
): Resource[F, KafkaProducerConnection[F]] =
resourceIn(settings)(F, F, mk)
/**
* Like [[resource]], but allows use of different effect types for the allocating `Resource` and
* the allocated `KafkaProducerConnection`.
*/
def resourceIn[F[_], G[_]](
settings: ProducerSettings[G, ?, ?]
)(implicit
F: Async[F],
G: Async[G],
mk: MkProducer[F]
): Resource[F, KafkaProducerConnection[G]] =
WithProducer(mk, settings).map { withProducer =>
new KafkaProducerConnection[G] {
override def produce[K, V](
records: ProducerRecords[K, V]
)(implicit
keySerializer: KeySerializer[G, K],
valueSerializer: ValueSerializer[G, V]
): G[G[ProducerResult[K, V]]] =
KafkaProducer.produce[G, K, V](
withProducer,
keySerializer,
valueSerializer,
records
)
override def metrics: G[Map[MetricName, Metric]] =
withProducer.blocking(_.metrics().asScala.toMap)
override def withSerializers[K, V](
keySerializer: KeySerializer[G, K],
valueSerializer: ValueSerializer[G, V]
): KafkaProducer.PartitionsFor[G, K, V] =
KafkaProducer.from(this, keySerializer, valueSerializer)
override def withSerializersFrom[K, V](
settings: ProducerSettings[G, K, V]
): Resource[G, KafkaProducer.PartitionsFor[G, K, V]] =
(settings.keySerializer, settings.valueSerializer).mapN(withSerializers)
override def partitionsFor(topic: String): G[List[PartitionInfo]] =
withProducer.blocking(_.partitionsFor(topic).asScala.toList)
}
}
/*
* Prevents the default `MkProducer` instance from being implicitly available
* to code defined in this object, ensuring factory methods require an instance
* to be provided at the call site.
*/
@nowarn("msg=never used")
implicit private def mkAmbig1[F[_]]: MkProducer[F] =
throw new AssertionError("should not be used")
@nowarn("msg=never used")
implicit private def mkAmbig2[F[_]]: MkProducer[F] =
throw new AssertionError("should not be used")
}