Your Spark cluster, spark://192.168.0.38:7077, how is it deployed if you
just include Spark dependency in IntelliJ?
On Fri, Mar 27, 2020 at 1:54 PM Zahid Rahman <zahidr1...@gmail.com> wrote:
> I have configured in IntelliJ as external jars
> spark-3.0.0-preview2-bin-hadoop2.7/jar
>
> not pulling anything from maven.
>
> Backbutton.co.uk
> ¯\_(ツ)_/¯
> ♡۶Java♡۶RMI ♡۶
> Make Use Method {MUM}
> makeuse.org
> <http://www.backbutton.co.uk>
>
>
> On Fri, 27 Mar 2020 at 05:45, Wenchen Fan <cloud0...@gmail.com> wrote:
>
>> Which Spark/Scala version do you use?
>>
>> On Fri, Mar 27, 2020 at 1:24 PM Zahid Rahman <zahidr1...@gmail.com>
>> wrote:
>>
>>>
>>> with the following sparksession configuration
>>>
>>> val spark = SparkSession.builder().master("local[*]").appName("Spark
>>> Session take").getOrCreate();
>>>
>>> this line works
>>>
>>> flights.filter(flight_row => flight_row.ORIGIN_COUNTRY_NAME !=
>>> "Canada").map(flight_row => flight_row).take(5)
>>>
>>>
>>> however if change the master url like so, with the ip address then the
>>> following error is produced by the position of .take(5)
>>>
>>> val spark =
>>> SparkSession.builder().master("spark://192.168.0.38:7077").appName("Spark
>>> Session take").getOrCreate();
>>>
>>>
>>> 20/03/27 05:15:20 WARN TaskSetManager: Lost task 0.0 in stage 1.0 (TID
>>> 1, 192.168.0.38, executor 0): java.lang.ClassCastException: cannot assign
>>> instance of java.lang.invoke.SerializedLambda to field
>>> org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance
>>> of org.apache.spark.rdd.MapPartitionsRDD
>>>
>>> BUT if I remove take(5) or change the position of take(5) or insert an
>>> extra take(5) as illustrated in code then it works. I don't see why the
>>> position of take(5) should cause such an error or be caused by changing the
>>> master url
>>>
>>> flights.take(5).filter(flight_row => flight_row.ORIGIN_COUNTRY_NAME !=
>>> "Canada").map(flight_row => flight_row).take(5)
>>>
>>> flights.take(5)
>>>
>>> flights
>>> .take(5)
>>> .filter(flight_row => flight_row.ORIGIN_COUNTRY_NAME != "Canada")
>>> .map(fr => flight(fr.DEST_COUNTRY_NAME, fr.ORIGIN_COUNTRY_NAME,fr.count +
>>> 5))
>>> flights.show(5)
>>>
>>>
>>> complete code if you wish to replicate it.
>>>
>>> import org.apache.spark.sql.SparkSession
>>>
>>> object sessiontest {
>>>
>>> // define specific data type class then manipulate it using the filter
>>> and map functions
>>> // this is also known as an Encoder
>>> case class flight (DEST_COUNTRY_NAME: String,
>>> ORIGIN_COUNTRY_NAME:String,
>>> count: BigInt)
>>>
>>>
>>> def main(args:Array[String]): Unit ={
>>>
>>> val spark =
>>> SparkSession.builder().master("spark://192.168.0.38:7077").appName("Spark
>>> Session take").getOrCreate();
>>>
>>> import spark.implicits._
>>> val flightDf =
>>> spark.read.parquet("/data/flight-data/parquet/2010-summary.parquet/")
>>> val flights = flightDf.as[flight]
>>>
>>> flights.take(5).filter(flight_row => flight_row.ORIGIN_COUNTRY_NAME !=
>>> "Canada").map(flight_row => flight_row).take(5)
>>>
>>> flights.take(5)
>>>
>>> flights
>>> .take(5)
>>> .filter(flight_row => flight_row.ORIGIN_COUNTRY_NAME != "Canada")
>>> .map(fr => flight(fr.DEST_COUNTRY_NAME,
>>> fr.ORIGIN_COUNTRY_NAME,fr.count + 5))
>>> flights.show(5)
>>>
>>> } // main
>>> }
>>>
>>>
>>>
>>>
>>>
>>> Backbutton.co.uk
>>> ¯\_(ツ)_/¯
>>> ♡۶Java♡۶RMI ♡۶
>>> Make Use Method {MUM}
>>> makeuse.org
>>> <http://www.backbutton.co.uk>
>>>
>>
