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AggregateScalaTest.scala
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AggregateScalaTest.scala
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/*
* Copyright Confluent Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.confluent.examples.streams
import java.util.Properties
import org.apache.kafka.streams.scala.StreamsBuilder
import org.apache.kafka.streams.scala.kstream.{KStream, KTable}
import org.apache.kafka.streams.{StreamsConfig, TopologyTestDriver}
import org.apache.kafka.test.TestUtils
import org.junit._
import org.scalatestplus.junit.AssertionsForJUnit
/**
* End-to-end integration test that shows how to aggregate messages via `groupBy()` and `aggregate()`.
*
* See [[AggregateTest]] for the equivalent Java example.
*/
class AggregateScalaTest extends AssertionsForJUnit {
import org.apache.kafka.streams.scala.ImplicitConversions._
import org.apache.kafka.streams.scala.serialization.Serdes._
private val inputTopic = "inputTopic"
private val outputTopic = "output-topic"
@Test
def shouldAggregate(): Unit = {
val inputValues: Seq[String] =
Seq("stream", "all", "the", "things", "hi", "world", "kafka", "streams", "streaming")
// We want to compute the sum of the length of words (values) by the first letter (new key) of words.
val expectedOutput: Map[String, Long] = Map(
"a" -> 3L,
"t" -> 9L,
"h" -> 2L,
"w" -> 5L,
"k" -> 5L,
"s" -> 22L,
)
// Step 1: Create the topology and its configuration
val builder: StreamsBuilder = createTopology()
val streamsConfiguration = createTopologyConfiguration()
val topologyTestDriver: TopologyTestDriver = new TopologyTestDriver(builder.build(), streamsConfiguration)
try {
// Step 2: Write the input
import IntegrationTestScalaUtils._
IntegrationTestScalaUtils.produceValuesSynchronously(inputTopic, inputValues, topologyTestDriver)
// Step 3: Validate the output
val actualOutput = IntegrationTestScalaUtils.drainTableOutput[String, Long](outputTopic, topologyTestDriver)
assert(actualOutput === expectedOutput)
} finally {
topologyTestDriver.close()
}
}
def createTopology(): StreamsBuilder = {
val builder = new StreamsBuilder
val input: KStream[Array[Byte], String] = builder.stream[Array[Byte], String](inputTopic)
val aggregated: KTable[String, Long] = input
// We set the new key of a word (value) to the word's first letter.
.groupBy(
(key: Array[Byte], value: String) => Option(value) match {
case Some(s) if s.nonEmpty => s.head.toString
case _ => ""
})
// For each first letter (key), we compute the sum of the word lengths.
.aggregate(0L)((aggKey: String, newValue: String, aggValue: Long) => aggValue + newValue.length)
aggregated.toStream.to(outputTopic)
builder
}
def createTopologyConfiguration(): Properties = {
val p = new Properties()
p.put(StreamsConfig.APPLICATION_ID_CONFIG, "aggregate-scala-test")
p.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "dummy-config")
// Use a temporary directory for storing state, which will be automatically removed after the test.
p.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory.getAbsolutePath)
p
}
}