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uncleGen wants to merge 3 commits into from
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[SPARK-20021][PySpark] Miss backslash in python code #17352

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d0a1c9f
fix python example in doc
uncleGen Mar 13, 2017
965dce3
Merge branch 'master' into python-example-doc
uncleGen Mar 20, 2017
1dfd3ee
Merge branch 'master' into python-example-doc
uncleGen Mar 21, 2017
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30 changes: 15 additions & 15 deletions docs/structured-streaming-kafka-integration.md
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Original file line number Diff line number Diff line change
Expand Up @@ -89,29 +89,29 @@ ds3.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
{% highlight python %}

# Subscribe to 1 topic
ds1 = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
.option("subscribe", "topic1")
ds1 = spark \
.readStream \
.format("kafka") \
.option("kafka.bootstrap.servers", "host1:port1,host2:port2") \
.option("subscribe", "topic1") \
.load()
ds1.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")

# Subscribe to multiple topics
ds2 = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
.option("subscribe", "topic1,topic2")
ds2 = spark \
.readStream \
.format("kafka") \
.option("kafka.bootstrap.servers", "host1:port1,host2:port2") \
.option("subscribe", "topic1,topic2") \
.load()
ds2.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")

# Subscribe to a pattern
ds3 = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
.option("subscribePattern", "topic.*")
ds3 = spark \
.readStream \
.format("kafka") \
.option("kafka.bootstrap.servers", "host1:port1,host2:port2") \
.option("subscribePattern", "topic.*") \
.load()
ds3.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")

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6 changes: 3 additions & 3 deletions docs/structured-streaming-programming-guide.md
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Expand Up @@ -764,11 +764,11 @@ Dataset<Row> windowedCounts = words
words = ... # streaming DataFrame of schema { timestamp: Timestamp, word: String }

# Group the data by window and word and compute the count of each group
windowedCounts = words
.withWatermark("timestamp", "10 minutes")
windowedCounts = words \
.withWatermark("timestamp", "10 minutes") \
.groupBy(
window(words.timestamp, "10 minutes", "5 minutes"),
words.word)
words.word) \
.count()
{% endhighlight %}

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