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Ho can I calculate column differences when column names are unknown?

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My datasource is a json structure which will include the following on each record: { "metrics": [ {"name":"MetricName1", "value":"1", "units": "s"}, {"name":"MetricName2", "value":"1", "units": "s"}, {"name":"MetricName3", "value":"2", "units": "s"} ] } The initial search will produce 2 records with different timestamps My SPL is expanding the metrics field, then recombining the data to give the metric names as rows, the timestamps as columns so that I can chart how the vlaues change between the two events. SPL:- | eval name=strftime('_time',"%d/%m/%Y %H:%M:%S") |spath path=metrics{} output=X | mvexpand X | fields name, X |fields - _raw, _time | spath input=X | fields - X, units | rename type as Metric | eval {Metric}='value' | fields name Metric value | xyseries Metric, name, value Output:- | Metric | Event1Date | Event2Date| | MetricName1 | 1 | 2 | | MetricName2 | 2 | 4 | | MetricName3 | 2 | 5 | I would like to add a 3rd column containing the differences between the two values: | Metric | Event1Date | Event2Date| Difference | | MetricName1 | 1 | 2 | 1 | | MetricName2 | 2 | 4 | 2 | | MetricName3 | 2 | 5 | 3 | But I do not know what the column names "Event1Date" and "Event2Date" will be Can I access the fields by an index number? eg eval diff = columns[2] - columns[1] or similar NB The actual Metric Names are also unknown (ie they could be anything)

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