Table or view not found - Spark Scala - dataframe

Question

I'm beginner with big data and i'm working with spark-scala. I work with dataframes and to make things clear to me I used multiple scala objects to write my code. all the classes have main methods to run the code. The first scala object is used to load files into dataframes and the other scala objects make statistics computations. this is some of the code of the first one
object LoadFiles {
//classes for datasets
case class T(X: Option[String], P: Option[String],Y:Option[String])
println("Load File 1 into dataframe")
def main(args: Array[String]){
val sc = new SparkContext("local[*]", "LoadFiles1")
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
val warehouseLocation = new File("spark-warehouse").getAbsolutePath
val spark = SparkSession
.builder()
.appName("Spark Hive Example")
.config("spark.sql.warehouse.dir", warehouseLocation)
.enableHiveSupport()
.getOrCreate()
import sqlContext.implicits._
import org.apache.spark.sql._
import org.apache.spark.sql.Row;
import org.apache.spark.sql.types.{StructType,StructField,StringType};
val dataframe1 = sc.textFile("file1.ttl").map(_.split(" |\\ . ")).map(p =>
T(Try(p(0).toString()).toOption,Try(p(1).toString()).toOption,Try(p(2).toString()).toOption)).toDF()
dataframe1
.write
.partitionBy("Predicate")
.mode(SaveMode.Overwrite)
.saveAsTable("dataframe1")
}}
The other scala objects are used to make many computations from the loaded dataframes and create other dataframes
this is the second one
object Statistics1 {
def main(args: Array[String]) {
val sc = new SparkContext("local[*]", "LoadFiles1")
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
val warehouseLocation = new File("spark-warehouse").getAbsolutePath
val spark = SparkSession
.builder()
.appName("Spark Hive Example")
.config("spark.sql.warehouse.dir", warehouseLocation)
.enableHiveSupport()
.getOrCreate()
import sqlContext.implicits._
import org.apache.spark.sql._
import org.apache.spark.sql.Row;
import org.apache.spark.sql.types.{StructType,StructField,StringType};
// subject query
val Query1 = spark.sql("SELECT X As Res, P as Pred, COUNT(Y) As nbrFROM dataframe1 GROUP BY X, P")
.write
.mode(SaveMode.Overwrite)
.saveAsTable("stat1") }}
I got the error Exception in thread "main" org.apache.spark.sql.AnalysisException: Table or view not found: dataframe1; line 1 pos 75
How can I fix this ?