μts2 
μts is a miniature time-series database utility suitable for embedded or frontend web applications, weighing in at about 1.5 KB minified and gzipped.
This was originally written at Mixer.
Installation
npm install --save uts
Usage
Reading the source and the tests are the best way to see what it can do.
μts is schemaless, data is arranged in points, which contain one more columns, within series. Aggregations can be run which operate on points or columns. Currently supported aggregations are:
-
db.max(column: string)extracts the maximum value for the column -
db.minimum(column: string)extracts the minimum value for the column -
db.mean(column: string)calculates the mean for the column -
db.top(column: string)returns the most recent value in the column -
db.derivative(column: string)calculates the change in a column -
db.map(column: string)extracts a list of column values from points in the series -
db.map(iterator: (pt: Point) => any)can extract any data you want from points in the series! -
db.reduce(iterator: (current: T, pt: Point) => T, initial: T)can reduce a column to a single data point.
import { TSDB } from "uts";
const db = new TSDB();
db.series('bandwidth').query({
metrics: {
mean: db.mean('bits'),
},
where: {
time: { is: '>', than: Date.now() - 5 * 60 * 100 }
},
group: db.interval(30 * 1000, true),
});
// returns =>
[
{
group: { start: 1459513952592, end: 1459513982592 },
results: {
mean: 3511
}
}
]Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.