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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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* See the License for the specific language governing permissions and
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package org.apache.carbondata.examples
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{DataFrame, SaveMode, SparkSession}
import org.apache.carbondata.examples.util.ExampleUtils
case class People(name: String, occupation: String, id: Int)
object CaseClassDataFrameAPIExample {
def main(args: Array[String]) {
val spark = ExampleUtils.createCarbonSession("CaseClassDataFrameAPIExample")
exampleBody(spark)
spark.close()
}
def exampleBody(spark : SparkSession): Unit = {
val people = List(People("sangeeta", "engineer", 1), People("pallavi", "consultant", 2))
val peopleRDD: RDD[People] = spark.sparkContext.parallelize(people)
import spark.implicits._
val peopleDF: DataFrame = peopleRDD.toDF("name", "occupation", "id")
// writing data to carbon table
peopleDF.write
.format("carbondata")
.option("tableName", "caseclass_table")
.option("compress", "true")
.mode(SaveMode.Overwrite)
.save()
spark.sql("SELECT * FROM caseclass_table").show()
spark.sql("DROP TABLE IF EXISTS caseclass_table")
}
}