com.intel.analytics.bigdl.ppml.examples.tpch.Q09.scala Maven / Gradle / Ivy
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// scalastyle:off
/*
* This file is copied from:
* https://github.com/ssavvides/tpch-spark/blob/master/src/main/scala/Q09.scala
*
* Copyright (c) 2015 Savvas Savvides, [email protected], [email protected]
*
* Licensed under the The MIT License:
*
* Permission is hereby granted, free of charge, to any person
* obtaining a copy of this software and associated documentation
* files (the "Software"), to deal in the Software without
* restriction, including without limitation the rights to use,
* copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following
* conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
* OTHER DEALINGS IN THE SOFTWARE.
*/
// scalastyle:on
package com.intel.analytics.bigdl.ppml.examples.tpch
import org.apache.spark.sql.DataFrame
import org.apache.spark.SparkContext
import org.apache.spark.sql.functions.sum
import org.apache.spark.sql.functions.udf
import com.intel.analytics.bigdl.ppml.PPMLContext
/**
* TPC-H Query 9
* Savvas Savvides
*
*/
class Q09 extends TpchQuery {
override def execute(sc: PPMLContext, schemaProvider: TpchSchemaProvider): DataFrame = {
// this is used to implicitly convert an RDD to a DataFrame.
val sqlContext = sc.getSparkSession.sqlContext
import sqlContext.implicits._
import schemaProvider._
val getYear = udf { (x: String) => x.substring(0, 4) }
val expr = udf { (x: Double, y: Double, v: Double, w: Double) => x * (1 - y) - (v * w) }
val linePart = part.filter($"p_name".contains("green"))
.join(lineitem, $"p_partkey" === lineitem("l_partkey"))
val natSup = nation.join(supplier, $"n_nationkey" === supplier("s_nationkey"))
linePart.join(natSup, $"l_suppkey" === natSup("s_suppkey"))
.join(partsupp, $"l_suppkey" === partsupp("ps_suppkey")
&& $"l_partkey" === partsupp("ps_partkey"))
.join(order, $"l_orderkey" === order("o_orderkey"))
.select($"n_name", getYear($"o_orderdate").as("o_year"),
expr($"l_extendedprice", $"l_discount", $"ps_supplycost", $"l_quantity").as("amount"))
.groupBy($"n_name", $"o_year")
.agg(sum($"amount"))
.sort($"n_name", $"o_year".desc)
}
}
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