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Each time series is designed to hold measurements of a single metric - e.g. the temperature reported by a given sensor, the price of a given stock, or the number of vehicles passing a given road each hour. The phenomena being measured has only one value at any given timestamp (which can represent a time instance or a period).
You can, of course, create multiple time series (e.g., a temperature series for each sensor, a price series for each stock, number of vehicles for each road).
If you need to hold several measurements (e.g., temperatures measured by two sensors, buy and sell prices for a stock, number of vehicles on each direction) - you should create more than once time series. Note that RedisTimeSeries supports secondary indexes - each time series has labels (name-value pairs) which will allows to query multiple time series by label filter expressions, which allow you the receive multiple values.
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