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MINOR: Add missing imports to 'Hello Kafka Streams' examples (#4535) 

Reviewers: Matthias J. Sax <matthias@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
This commit is contained in:
Daniel Wojda 2018-02-08 17:53:57 +00:00 committed by Guozhang Wang
parent ac267dc5ce
commit d8eddc6e16
1 changed files with 25 additions and 20 deletions
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17
docs/streams/index.html
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@ -153,10 +153,12 @@
<div class="code-example__snippet b-java-8 selected">
<pre class="brush: java;">
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.common.utils.Bytes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.Topology;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.KTable;
import org.apache.kafka.streams.kstream.Materialized;
import org.apache.kafka.streams.kstream.Produced;
import org.apache.kafka.streams.state.KeyValueStore;
@ -192,14 +194,16 @@
<div class="code-example__snippet b-java-7">
<pre class="brush: java;">
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.common.utils.Bytes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.Topology;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.KTable;
import org.apache.kafka.streams.kstream.ValueMapper;
import org.apache.kafka.streams.kstream.KeyValueMapper;
import org.apache.kafka.streams.kstream.Materialized;
import org.apache.kafka.streams.kstream.Produced;
import org.apache.kafka.streams.kstream.ValueMapper;
import org.apache.kafka.streams.state.KeyValueStore;
import java.util.Arrays;
@ -249,9 +253,10 @@
import java.util.concurrent.TimeUnit
import org.apache.kafka.common.serialization._
import org.apache.kafka.common.utils.Bytes
import org.apache.kafka.streams._
import org.apache.kafka.streams.kstream.{KeyValueMapper, Materialized, Produced, ValueMapper}
import org.apache.kafka.streams.state.KeyValueStore;
import org.apache.kafka.streams.kstream.{KStream, KTable, Materialized, Produced}
import org.apache.kafka.streams.state.KeyValueStore
import scala.collection.JavaConverters.asJavaIterableConverter
@ -273,7 +278,7 @@
.flatMapValues(textLine => textLine.toLowerCase.split("\\W+").toIterable.asJava)
.groupBy((_, word) => word)
.count(Materialized.as("counts-store").asInstanceOf[Materialized[String, Long, KeyValueStore[Bytes, Array[Byte]]]])
wordCounts.toStream().to("WordsWithCountsTopic", Produced.with(Serdes.String(), Serdes.Long()))
wordCounts.toStream().to("WordsWithCountsTopic", Produced.`with`(Serdes.String(), Serdes.Long()))
val streams: KafkaStreams = new KafkaStreams(builder.build(), config)
streams.start()