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add data synchronization test to verification Suite. (#526)
* add data synchronization test to verification suite * review comments * update test and doc strings
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src/main/scala/com/amazon/deequ/analyzers/DataSynchronizationAnalyzer.scala
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| /** | ||
| * Copyright 2024 Amazon.com, Inc. or its affiliates. All Rights Reserved. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"). You may not | ||
| * use this file except in compliance with the License. A copy of the License | ||
| * is located at | ||
| * | ||
| * http://aws.amazon.com/apache2.0/ | ||
| * | ||
| * or in the "license" file accompanying this file. This file 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 limitations under the License. | ||
| * | ||
| */ | ||
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| package com.amazon.deequ.analyzers | ||
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| import com.amazon.deequ.analyzers.Analyzers.metricFromFailure | ||
| import com.amazon.deequ.comparison.DataSynchronization | ||
| import com.amazon.deequ.comparison.DataSynchronizationFailed | ||
| import com.amazon.deequ.comparison.DataSynchronizationSucceeded | ||
| import com.amazon.deequ.metrics.DoubleMetric | ||
| import com.amazon.deequ.metrics.Entity | ||
| import org.apache.spark.sql.DataFrame | ||
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| import scala.util.Failure | ||
| import scala.util.Try | ||
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| /** | ||
| * An Analyzer for Deequ that performs a data synchronization check between two DataFrames. | ||
| * It evaluates the degree of synchronization based on specified column mappings and an assertion function. | ||
| * | ||
| * The analyzer computes a ratio of synchronized data points to the total data points, represented as a DoubleMetric. | ||
| * Refer to [[com.amazon.deequ.comparison.DataSynchronization.columnMatch]] for DataSynchronization implementation | ||
| * | ||
| * @param dfToCompare The DataFrame to compare with the primary DataFrame that is setup | ||
| * during [[com.amazon.deequ.VerificationSuite.onData]] setup. | ||
| * @param columnMappings A map where each key-value pair represents a column in the primary DataFrame | ||
| * and its corresponding column in dfToCompare. | ||
| * @param assertion A function that takes a Double (the match ratio) and returns a Boolean. | ||
| * It defines the condition for successful synchronization. | ||
| * | ||
| * Usage: | ||
| * This analyzer is used in Deequ's VerificationSuite based if `isDataSynchronized` check is defined or could be used | ||
| * manually as well. | ||
| * | ||
| * Example: | ||
| * val analyzer = DataSynchronizationAnalyzer(dfToCompare, Map("col1" -> "col2"), _ > 0.8) | ||
| * val verificationResult = VerificationSuite().onData(df).addAnalyzer(analyzer).run() | ||
| * | ||
| * // or could do something like below | ||
| * val verificationResult = VerificationSuite().onData(df).isDataSynchronized(dfToCompare, Map("col1" -> "col2"), | ||
| * _ > 0.8).run() | ||
| * | ||
| * | ||
| * The computeStateFrom method calculates the synchronization state by comparing the specified columns of the two | ||
| * DataFrames. | ||
| * The computeMetricFrom method then converts this state into a DoubleMetric representing the synchronization ratio. | ||
| * | ||
| */ | ||
| case class DataSynchronizationAnalyzer(dfToCompare: DataFrame, | ||
| columnMappings: Map[String, String], | ||
| assertion: Double => Boolean) | ||
| extends Analyzer[DataSynchronizationState, DoubleMetric] { | ||
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| override def computeStateFrom(data: DataFrame): Option[DataSynchronizationState] = { | ||
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| val result = DataSynchronization.columnMatch(data, dfToCompare, columnMappings, assertion) | ||
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| result match { | ||
| case succeeded: DataSynchronizationSucceeded => | ||
| Some(DataSynchronizationState(succeeded.passedCount, succeeded.totalCount)) | ||
| case failed: DataSynchronizationFailed => | ||
| Some(DataSynchronizationState(failed.passedCount.getOrElse(0), failed.totalCount.getOrElse(0))) | ||
| case _ => None | ||
| } | ||
| } | ||
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| override def computeMetricFrom(state: Option[DataSynchronizationState]): DoubleMetric = { | ||
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| val metric = state match { | ||
| case Some(s) => Try(s.synchronizedDataCount.toDouble / s.totalDataCount.toDouble) | ||
| case _ => Failure(new IllegalStateException("No state available for DataSynchronizationAnalyzer")) | ||
| } | ||
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| DoubleMetric(Entity.Dataset, "DataSynchronization", "", metric, None) | ||
| } | ||
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| override private[deequ] def toFailureMetric(failure: Exception) = | ||
| metricFromFailure(failure, "DataSynchronization", "", Entity.Dataset) | ||
| } | ||
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src/main/scala/com/amazon/deequ/analyzers/DataSynchronizationState.scala
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| /** | ||
| * Copyright 2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"). You may not | ||
| * use this file except in compliance with the License. A copy of the License | ||
| * is located at | ||
| * | ||
| * http://aws.amazon.com/apache2.0/ | ||
| * | ||
| * or in the "license" file accompanying this file. This file 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 limitations under the License. | ||
| * | ||
| */ | ||
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| package com.amazon.deequ.analyzers | ||
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| /** | ||
| * Represents the state of data synchronization between two DataFrames in Deequ. | ||
| * This state keeps track of the count of synchronized record count and the total record count. | ||
| * It is used to calculate a ratio of synchronization, which is a measure of how well the data | ||
| * in the two DataFrames are synchronized. | ||
| * | ||
| * @param synchronizedDataCount The count of records that are considered synchronized between the two DataFrames. | ||
| * @param totalDataCount The total count of records for check. | ||
| * | ||
| * The `sum` method allows for aggregation of this state with another, combining the counts from both states. | ||
| * This is useful in distributed computations where states from different partitions need to be aggregated. | ||
| * | ||
| * The `metricValue` method computes the synchronization ratio. It is the ratio of `synchronizedDataCount` | ||
| * to `dataCount`. | ||
| * If `dataCount` is zero, which means no data points were examined, the method returns `Double.NaN` | ||
| * to indicate the undefined state. | ||
| * | ||
| */ | ||
| case class DataSynchronizationState(synchronizedDataCount: Long, totalDataCount: Long) | ||
| extends DoubleValuedState[DataSynchronizationState] { | ||
| override def sum(other: DataSynchronizationState): DataSynchronizationState = { | ||
| DataSynchronizationState(synchronizedDataCount + other.synchronizedDataCount, totalDataCount + other.totalDataCount) | ||
| } | ||
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| override def metricValue(): Double = { | ||
| if (totalDataCount == 0L) Double.NaN else synchronizedDataCount.toDouble / totalDataCount.toDouble | ||
| } | ||
| } | ||
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| object DataSynchronizationState |
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