DecimalType issue while creating Dataframe

Question

While I am trying to create a dataframe using a decimal type it is throwing me the below error.

I am performing the following steps:

import org.apache.spark.sql.Row;
import org.apache.spark.sql.types.StructField;
import org.apache.spark.sql.types.StructType;
import org.apache.spark.sql.types.StringType;
import org.apache.spark.sql.types.DataTypes._;


//created a DecimalType
val DecimalType = DataTypes.createDecimalType(15,10)

//Created a schema

val sch = StructType(StructField("COL1",StringType,true)::StructField("COL2",**DecimalType**,true)::Nil)

val src = sc.textFile("test_file.txt")
val row = src.map(x=>x.split(",")).map(x=>Row.fromSeq(x))
val df1= sqlContext.createDataFrame(row,sch)

df1 is getting created without any errors.But, when I issue as df1.collect() action, it is giving me the below error:

scala.MatchError: 0 (of class java.lang.String)
    at org.apache.spark.sql.catalyst.CatalystTypeConverters$DecimalConverter.toCatalystImpl(CatalystTypeConverters.scala:326)

test_file.txt content:

test1,0
test2,0.67
test3,10.65
test4,-10.1234567890

Is there any issue with the way that I am creating DecimalType?

DecimalType issue while creating Dataframe

3 Answers