measure/src/main/scala/org/apache/griffin/measure/execution/impl/CompletenessMeasure.scala

/*
 * 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,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
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package org.apache.griffin.measure.execution.impl

import io.netty.util.internal.StringUtil
import org.apache.spark.sql.{Column, DataFrame, SparkSession}
import org.apache.spark.sql.functions._

import org.apache.griffin.measure.configuration.dqdefinition.MeasureParam
import org.apache.griffin.measure.execution.Measure

case class CompletenessMeasure(sparkSession: SparkSession, measureParam: MeasureParam)
    extends Measure {

  import Measure._

  final val Complete: String = "complete"
  final val InComplete: String = "incomplete"

  override val supportsRecordWrite: Boolean = true

  override val supportsMetricWrite: Boolean = true

  val exprOpt: Option[String] = Option(getFromConfig[String](Expression, null))

  validate()

  override def impl(): (DataFrame, DataFrame) = {
    val exprStr = exprOpt.get

    val selectCols =
      Seq(Total, Complete, InComplete).flatMap(e => Seq(lit(e), col(e).cast("string")))
    val metricColumn: Column = map(selectCols: _*).as(valueColumn)

    val input = sparkSession.read.table(measureParam.getDataSource)
    val badRecordsDf = input.withColumn(valueColumn, when(expr(exprStr), 1).otherwise(0))

    val metricDf = badRecordsDf
      .withColumn(Total, lit(1))
      .agg(sum(Total).as(Total), sum(valueColumn).as(InComplete))
      .withColumn(Complete, col(Total) - col(InComplete))
      .select(metricColumn)

    (badRecordsDf, metricDf)
  }

  override def validate(): Unit = {
    assert(exprOpt.isDefined, s"'$Expression' must be defined.")
    assert(exprOpt.nonEmpty, s"'$Expression' must not be empty.")

    assert(!StringUtil.isNullOrEmpty(exprOpt.get), s"'$Expression' must not be null or empty.")
  }
}