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-rw-r--r--docs/streaming-programming-guide.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index d7eafff38f..6550fcc052 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -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