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MINOR: Escape '<' and '>' symbols in quickstart streams code snippet 

This was missing from [an earlier PR](https://github.com/apache/kafka/pull/2247) that escaped these symbols in another section of the doc.

Author: Vahid Hashemian <vahidhashemian@us.ibm.com>

Reviewers: Ewen Cheslack-Postava <ewen@confluent.io>

Closes #2453 from vahidhashemian/doc/escape_lt_gt_in_streams_code
This commit is contained in:
Vahid Hashemian 2017-01-26 15:04:35 -08:00 committed by Ewen Cheslack-Postava
parent 3171659045
commit 0c83eddcda
1 changed files with 2 additions and 2 deletions
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docs/quickstart.html
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@ -282,7 +282,7 @@ This quickstart example will demonstrate how to run a streaming application code
of the <code>WordCountDemo</code> example code (converted to use Java 8 lambda expressions for easy reading). of the <code>WordCountDemo</code> example code (converted to use Java 8 lambda expressions for easy reading).
</p> </p>
<pre> <pre>
KTable<String, Long> wordCounts = textLines KTable&lt;String, Long&gt; wordCounts = textLines
// Split each text line, by whitespace, into words. // Split each text line, by whitespace, into words.
.flatMapValues(value -> Arrays.asList(value.toLowerCase().split("\\W+"))) .flatMapValues(value -> Arrays.asList(value.toLowerCase().split("\\W+")))
@ -389,7 +389,7 @@ summit 1
</pre> </pre>
<p> <p>
Here, the first column is the Kafka message key, and the second column is the message value, both in in <code>java.lang.String</code> format. Here, the first column is the Kafka message key, and the second column is the message value, both in <code>java.lang.String</code> format.
Note that the output is actually a continuous stream of updates, where each data record (i.e. each line in the original output above) is Note that the output is actually a continuous stream of updates, where each data record (i.e. each line in the original output above) is
an updated count of a single word, aka record key such as "kafka". For multiple records with the same key, each later record is an update of the previous one. an updated count of a single word, aka record key such as "kafka". For multiple records with the same key, each later record is an update of the previous one.
</p> </p>