Github user ahmed-mahran commented on a diff in the pull request:

    https://github.com/apache/spark/pull/14234#discussion_r71080656
  
    --- Diff: docs/structured-streaming-programming-guide.md ---
    @@ -14,29 +14,13 @@ Structured Streaming is a scalable and fault-tolerant 
stream processing engine b
     
     # Quick Example
     Let’s say you want to maintain a running word count of text data 
received from a data server listening on a TCP socket. Let’s see how you can 
express this using Structured Streaming. You can see the full code in 
    
-[Scala]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/scala/org/apache/spark/examples/sql/streaming/StructuredNetworkWordCount.scala)/
    
-[Java]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/java/org/apache/spark/examples/sql/streaming/JavaStructuredNetworkWordCount.java)/
    
-[Python]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/python/sql/streaming/structured_network_wordcount.py).
 And if you 
    -[download Spark](http://spark.apache.org/downloads.html), you can directly 
run the example. In any case, let’s walk through the example step-by-step and 
understand how it works. First, we have to import the necessary classes and 
create a local SparkSession, the starting point of all functionalities related 
to Spark.
    
+[Scala]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/scala/org/apache/spark/examples/sql/streaming/StructuredNetworkWordCount.scala)/[Java]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/java/org/apache/spark/examples/sql/streaming/JavaStructuredNetworkWordCount.java)/[Python]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/python/sql/streaming/structured_network_wordcount.py).
 And if you 
    +[download Spark](http://spark.apache.org/downloads.html), you can directly 
run the example. In any case, let’s walk through the example step-by-step and 
understand how it works.
     
     <div class="codetabs">
     <div data-lang="scala"  markdown="1">
     
    -
    --- End diff --
    
    It renders like this, is it okay?
    
    
![image](https://cloud.githubusercontent.com/assets/8685962/16900231/447f728a-4c1f-11e6-8d2d-2b3e4a06cc44.png)



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