May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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How to do it...
- Start the Spark shell with the Kafka integration package:
$ spark-shell --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.1.1
- Create a stream to listen to messages for the oscars topic:
scala> val data = spark.readStream.format("kafka").option("kafka.bootstrap.servers","localhost:9092").option("subscribe","oscars").load()
- To find out if it is really a streaming DataFrame or not:
scala> data.isStreaming
- Get the schema of data DataFrame:
scala> data.printSchema
- Create a stream to listen to messages for the oscars topic:
scala> val data = spark.readStream.format("kafka").option("kafka.bootstrap.servers","localhost:9092").option("subscribe","oscars").load()
- Cast the stream to String datatype:
scala> ...
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