I would like to know how to create stream and sink operations outside
"main" method - just like another class which I can invoke from main. So
that I can have different implementations for each topic which I subscribed
in a specific class file. Is it a good practice or always the whole
implementations should go inside "main" method?
On Mon, Sep 17, 2018 at 11:35 PM naresh Goud
wrote:
> You can have below statement for multiple topics
>
> val dfStatus = spark.readStream.
> format("kafka").
> option("subscribe", "utility-status, utility-critical").
> option("kafka.bootstrap.servers", "localhost:9092").
> option("startingOffsets", "earliest")
> .load()
>
>
>
>
>
> On Mon, Sep 17, 2018 at 3:28 AM sivaprakash <
> sivaprakashshanmu...@gmail.com> wrote:
>
>> Hi
>>
>> I have integrated Spark Streaming with Kafka in which Im listening 2
>> topics
>>
>> def main(args: Array[String]): Unit = {
>>
>> val schema = StructType(
>> List(
>> StructField("gatewayId", StringType, true),
>> StructField("userId", StringType, true)
>> )
>> )
>>
>> val spark = SparkSession
>> .builder
>> .master("local[4]")
>> .appName("DeviceAutomation")
>> .getOrCreate()
>>
>> val dfStatus = spark.readStream.
>> format("kafka").
>> option("subscribe", "utility-status, utility-critical").
>> option("kafka.bootstrap.servers", "localhost:9092").
>> option("startingOffsets", "earliest")
>> .load()
>>
>>
>> }
>>
>> Since I have few more topics to be listed and perform different
>> operations I
>> would like to move each topics into separate case class for better
>> clarity.
>> Is it possible?
>>
>>
>>
>> --
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>>
>> -
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>>
>> --
> Thanks,
> Naresh
> www.linkedin.com/in/naresh-dulam
> http://hadoopandspark.blogspot.com/
>
>
--
- Prakash.
