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[Docs] fix example code issues in documentation #13388

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[Docs] fix example code issues in documentation #13388

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2 changes: 1 addition & 1 deletion docs/streaming-kafka-integration.md
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Expand Up @@ -111,7 +111,7 @@ Next, we discuss how to use this approach in your streaming application.
<div data-lang="java" markdown="1">
import org.apache.spark.streaming.kafka.*;

JavaPairReceiverInputDStream<String, String> directKafkaStream =
JavaPairInputDStream<String, String> directKafkaStream =
KafkaUtils.createDirectStream(streamingContext,
[key class], [value class], [key decoder class], [value decoder class],
[map of Kafka parameters], [set of topics to consume]);
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4 changes: 2 additions & 2 deletions docs/streaming-programming-guide.md
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Expand Up @@ -145,8 +145,8 @@ import org.apache.spark.streaming.api.java.*;
import scala.Tuple2;

// Create a local StreamingContext with two working thread and batch interval of 1 second
SparkConf conf = new SparkConf().setMaster("local[2]").setAppName("NetworkWordCount")
JavaStreamingContext jssc = new JavaStreamingContext(conf, Durations.seconds(1))
SparkConf conf = new SparkConf().setMaster("local[2]").setAppName("NetworkWordCount");
JavaStreamingContext jssc = new JavaStreamingContext(conf, Durations.seconds(1));
{% endhighlight %}

Using this context, we can create a DStream that represents streaming data from a TCP
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