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This transformation will perform a simple merge operation. The picture below shows the functionality of a merge operation. First the most important time series is evaluated, if a value exists at a time in this series then this value will be used. If this is not the case, the second time series (series 2 in the example), will be evaluated. This procedure will continue until a valid value is found in one of the time series or until all time series are evaluated. If no valid value exists at time x in all of the input time series then a missing value will be returned unless the user has specified a default value with the fillGapConstant option.
The hierarchy of the input will be determined by the order in which in input time series are listed in the
configuration. In the configuration example inputA would be evaluated first before inputB. The fillGapConstant function can be used to fill missing values which are present inthe output time series after the merge operation with a predefined constant value.
Configuration example
