Github user ahmed-mahran commented on a diff in the pull request:
https://github.com/apache/spark/pull/14234#discussion_r71080823
--- 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
--- End diff --
It changes "Scala/ Java/ Python" to "Scala/Java/Python"; when `/` is used
as and/or, it comes with no spaces around.
This is happening everywhere, shall I revert it?
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