Created
April 20, 2021 18:58
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Split dataset and process the parts before reducing to union
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| dfAggregated | |
| .randomSplit(equallyWeightedParts(5)) | |
| .map((dataset: Dataset[Models.AggregatedDataSet]) => methodName( | |
| allMeasurementsOnAssets = assetAggregatedMeasurements, | |
| allMeasurementsOnScorecards = dataset, | |
| broadcastFactorWeights = broadcastFactorWeights, | |
| broadcastInterpolationFunctions = broadcastInterpolationFunctions, | |
| spark = spark | |
| )) | |
| .reduce(_ union _) |
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