I don't understand a behavior of spark.
I create an udf wich return an Integer like below
import org.apache.spark.sql.SQLContext
import org.apache.spark.{SparkConf, SparkContext}
object Show {
def main(args: Array[String]): Unit = {
val (sc,sqlContext) = iniSparkConf("test")
val testInt_udf = sqlContext.udf.register("testInt_udf", testInt _)
}
def iniSparkConf(appName: String): (SparkContext, SQLContext) = {
val conf = new SparkConf().setAppName(appName)//.setExecutorEnv("spark.ui.port", "4046")
val sc = new SparkContext(conf)
sc.setLogLevel("WARN")
val sqlContext = new SQLContext(sc)
(sc, sqlContext)
}
def testInt() : Int= {
return 2
}
}
I work perfectly but if I change the return type of method test from Int to String
val testString_udf = sqlContext.udf.register("testString_udf", testString _)
def testString() : String = {
return "myString"
}
I get the following error
Error:(34, 43) No TypeTag available for String
val testString_udf = sqlContext.udf.register("testString_udf", testString _)
Error:(34, 43) not enough arguments for method register: (implicit evidence$1: reflect.runtime.universe.TypeTag[String])org.apache.spark.sql.UserDefinedFunction.
Unspecified value parameter evidence$1.
val testString_udf = sqlContext.udf.register("testString_udf", testString _)
here are my embedded jars:
datanucleus-api-jdo-3.2.6
datanucleus-core-3.2.10
datanucleus-rdbms-3.2.9
spark-1.6.1-yarn-shuffle
spark-assembly-1.6.1-hadoop2.6.0
spark-examples-1.6.1-hadoop2.6.0
I am a little bit lost... Do you have any idea?