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This repository was archived by the owner on May 25, 2023. It is now read-only.
The API docs for `kafka-streams-scala` is available [here](https://developer.lightbend.com/docs/api/kafka-streams-scala/0.1.2/com/lightbend/kafka/scala/streams) for Scala 2.12 and [here](https://developer.lightbend.com/docs/api/kafka-streams-scala_2.11/0.1.2/#package) for Scala 2.11.
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The API docs for `kafka-streams-scala` is available [here](https://developer.lightbend.com/docs/api/kafka-streams-scala/0.2.0/com/lightbend/kafka/scala/streams) for Scala 2.12 and [here](https://developer.lightbend.com/docs/api/kafka-streams-scala_2.11/0.2.0/#package) for Scala 2.11.
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## Running the Tests
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The library comes with an embedded Kafka server. To run the tests, simply run `sbt testOnly` and all tests will run on the local embedded server.
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> The embedded server is started and stopped for every test and takes quite a bit of resources. Hence it's recommended that you allocate more heap space to `sbt` when running the tests. e.g. `sbt -mem 1500`.
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> The embedded server is started and stopped for every test and takes quite a bit of resources. Hence it's recommended that you allocate more heap space to `sbt` when running the tests. e.g. `sbt -mem 2000`.
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```bash
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$ sbt -mem 1500
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$ sbt -mem 2000
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> +clean
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> +test
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```
@@ -135,4 +135,4 @@ val clicksPerRegion: KTableS[String, Long] =
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// Write the (continuously updating) results to the output topic.
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