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Downsampling and data retention | InfluxData Documentation
InfluxDB can handle hundreds of thousands of data points per second. Working with that much data over a long period of time can create storage concerns. A natural solution is to downsample the data; keep the high precision raw data for only a limited time, and store the lower precision, summarized data for much longer or forever.InfluxDB offers two features - Continuous Queries (CQ) and Retention Policies (RP) - that automate the process of downsampling data and expiring old data. This guide describes a practical use case for CQs and RPs and covers how to set up those features in InfluxDB.
28-05-2019
29-05-2019DOWNSAMPLING DATA
InfluxQL functions | InfluxData Documentation
Aggregate, select, transform, and predict data with InfluxQL functions.
29-05-2019