Object

org.apache.spark.examples.snappydata.structuredstreaming

CSVKafkaSourceExampleWithSnappySink

Related Doc: package structuredstreaming

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object CSVKafkaSourceExampleWithSnappySink extends internal.Logging

An example of structured streaming depicting processing of JSON coming from kafka source using snappy sink.

Example input data:

Key: USA, Value: Yin,31,Columbus,Ohio Key: USA, Value: John,44,"San Jose",California

Usage: CSVKafkaSourceExampleWithSnappySink <kafka-brokers> <topics> [checkpoint-directory]

<kafka-brokers> Compulsory argument providing comma separate list of kafka brokers <topics> Compulsory argument providing comma separated list of kafka topics to subscribe [checkpoint-directory] Optional argument providing checkpoint directory where the state of the steaming query will be stored. Note that this directory needs to be deleted manually to reset the state of the streaming query. Default: CSVKafkaSourceExampleWithSnappySink directory under working directory.

Example: $ bin/run-example snappydata.structuredstreaming.CSVKafkaSourceExampleWithSnappySink \ "broker-1:9092,broker-2:9092" "topic1,topic2" "checkpoint_dir"

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  1. case class Person(name: String, age: Int, city: String, state: String, country: String) extends Product with Serializable

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