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What is RedisTimeSeries, and what kind of data is it specifically designed to handle? How do you add a new data point to a Redis time series, and how do you query a range of recent data? How do you configure a retention period for a Redis time series so old data is automatically removed after a certain amount of time? What aggregation functions are available when querying a range of data from a Redis time series, and how do you apply one during a query? How would you design a monitoring system architecture using RedisTimeSeries that efficiently handles both high frequency raw data ingestion and long term historical trend analysis? How does RedisTimeSeries handle labels and how can you use them to query across multiple related time series at once?
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How do you configure automatic downsampling in RedisTimeSeries, where detailed recent data is aggregated into coarser summaries over time?

Intermediate

Answer

You create a compaction rule using TS.CREATERULE, specifying a source time series, a destination time series, an aggregation type like average or maximum, and a bucket duration, which automatically creates aggregated data points in the destination series as new raw data arrives in the source, letting you keep detailed recent data while automatically summarizing older data into less granular form.
TS.CREATE temperature_hourly_avg
TS.CREATERULE temperature_sensor1 temperature_hourly_avg AGGREGATION avg 3600000
Real-world example A sensor monitoring system keeps detailed second by second readings for the past day, while automatically maintaining an hourly average time series for long term historical trend analysis, without needing to manually calculate and store these aggregates.

Common follow-ups: What aggregation types are available besides average, such as sum or maximum?;Does downsampling automatically delete the original detailed data?

RedisTimeSeries;Redis Modules Overview
All 7 RedisTimeSeries questions