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2 results found

  1. Add pipeline stage for "downsampling" data

    Down sampling is an extremely common operation used when plotting time-series data on graphs when there is too much data to get a good looking/meaningful graph. This would pick and choose "important" data points based on an algorithm such as "Largest-Triangle-Three-Buckets" (https://skemman.is/bitstream/1946/15343/3/SS_MSthesis.pdf) instead of returning the entire data set.

    Not only would this make prettier graph but it will also reduce the overall payload returned from the data thus reducing network related latency.

    This would be an awesome addition to timeseries!

    1 vote

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  2. Tiered TTL for time series collection based on granularity

    Currently time series collections have a single TTL across all inherent granularities. It would be great to specify a TTL for each granularity. For example:

    For seconds: 1 week
    For hours: 1 month
    Others: never

    Course information should be held longer than finer information in some cases - currently they all fall under the main TTL specified.

    2 votes

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