Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/15102#discussion_r81648834
--- Diff: docs/structured-streaming-kafka-integration.md ---
@@ -0,0 +1,185 @@
+---
+layout: global
+title: Structured Streaming + Kafka Integration Guide (Kafka broker
version 0.10.0 or higher)
+---
+
+Structured Streaming integration for Kafka 0.10 to poll data from Kafka.
It provides simple parallelism,
+1:1 correspondence between Kafka partitions and Spark partitions.
+
+### Linking
+For Scala/Java applications using SBT/Maven project definitions, link your
application with the following artifact:
+
+ groupId = org.apache.spark
+ artifactId = spark-sql-kafka-0-10_{{site.SCALA_BINARY_VERSION}}
+ version = {{site.SPARK_VERSION_SHORT}}
+
+For Python applications, you need to add this above library and its
dependencies when deploying your
+application. See the [Deploying](#deploying) subsection below.
+
+### Creating a Kafka Source Stream
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+
+ // Subscribe to 1 topic
+ spark
+ .readStream
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribe", "topic1")
+ .load()
+
+ // Subscribe to multiple topics
+ spark
+ .readStream
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribe", "topic1,topic2")
+ .load()
+
+ // Subscribe to a pattern
+ spark
+ .readStream
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribePattern", "topic.*")
+ .load()
+
+</div>
+<div data-lang="java" markdown="1">
+
+ // Subscribe to 1 topic
+ spark
+ .readStream()
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribe", "topic1")
+ .load()
+
+ // Subscribe to multiple topics
+ spark
+ .readStream()
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribe", "topic1,topic2")
+ .load()
+
+ // Subscribe to a pattern
+ spark
+ .readStream()
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribePattern", "topic.*")
+ .load()
+
+</div>
+<div data-lang="python" markdown="1">
+
+ # Subscribe to 1 topic
+ spark
+ .readStream()
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribe", "topic1")
+ .load()
+
+ # Subscribe to multiple topics
+ spark
+ .readStream
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribe", "topic1,topic2")
+ .load()
+
+ # Subscribe to a pattern
+ spark
+ .readStream()
+ .format("kafka")
+ .option("kafka.bootstrap.servers", "host1:port1,host2:port2")
+ .option("subscribePattern", "topic.*")
+ .load()
+
+</div>
+</div>
+
+Each row in the source has the following schema:
+<table class="table">
+<tr><th>Column</th><th>Type</th></tr>
+<tr>
+ <td>key</td>
+ <td>binary</td>
+</tr>
+<tr>
+ <td>value</td>
+ <td>binary</td>
--- End diff --
Added an example to convert key/value to strings.
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