Github user ahmed-mahran commented on a diff in the pull request: https://github.com/apache/spark/pull/14234#discussion_r71073691 --- 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 Letâs say you want to maintain a running word count of text data received from a data server listening on a TCP socket. Letâs 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, letâs 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, letâs walk through the example step-by-step and understand how it works. <div class="codetabs"> <div data-lang="scala" markdown="1"> - --- End diff -- Removing empty `<div>` elements
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