time-series

@redis/time-series

This package provides support for the RedisTimeSeries module, which adds a time series data structure to Redis.

Should be used with redis/@redis/client.

⚠️ To use these extra commands, your Redis server must have the RedisTimeSeries module installed.

Usage

For a complete example, see time-series.js in the Node Redis examples folder.

Creating Time Series data structure in Redis

The TS.CREATE command creates a new time series.

Here, we'll create a new time series "temperature":

import { createClient } from 'redis';
import { TimeSeriesDuplicatePolicies, TimeSeriesEncoding, TimeSeriesAggregationType } from '@redis/time-series';

...
const created = await client.ts.create('temperature', {
  RETENTION: 86400000, // 1 day in milliseconds
  ENCODING: TimeSeriesEncoding.UNCOMPRESSED, // No compression - When not specified, the option is set to COMPRESSED
  DUPLICATE_POLICY: TimeSeriesDuplicatePolicies.BLOCK, // No duplicates - When not specified: set to the global DUPLICATE_POLICY configuration of the database (which by default, is BLOCK).
});

if (created === 'OK') {
  console.log('Created timeseries.');
} else {
  console.log('Error creating timeseries :(');
  process.exit(1);
}

Adding new value to a Time Series data structure in Redis

With RedisTimeSeries, we can add a single value to time series data structure using the TS.ADD command and if we would like to add multiple values we can use the TS.MADD command.

let value = Math.floor(Math.random() * 1000) + 1; // Random data point value
let currentTimestamp = 1640995200000; // Jan 1 2022 00:00:00
let num = 0;

while (num < 10000) {
  // Add a new value to the timeseries, providing our own timestamp:
  // https://redis.io/commands/ts.add/
  await client.ts.add('temperature', currentTimestamp, value);
  console.log(`Added timestamp ${currentTimestamp}, value ${value}.`);

  num += 1;
  value = Math.floor(Math.random() * 1000) + 1; // Get another random value
  currentTimestamp += 1000; // Move on one second.
}

// Add multiple values to the timeseries in round trip to the server:
// https://redis.io/commands/ts.madd/
const response = await client.ts.mAdd([{
  key: 'temperature',
  timestamp: currentTimestamp + 60000,
  value: Math.floor(Math.random() * 1000) + 1
}, {
  key: 'temperature',
  timestamp: currentTimestamp + 120000,
  value: Math.floor(Math.random() * 1000) + 1
}]);

Retrieving Time Series data from Redis

With RedisTimeSeries, we can retrieve the time series data using the TS.RANGE command by passing the criteria as follows:

// Query the timeseries with TS.RANGE:
// https://redis.io/commands/ts.range/
const fromTimestamp = 1640995200000; // Jan 1 2022 00:00:00
const toTimestamp = 1640995260000; // Jan 1 2022 00:01:00
const rangeResponse = await client.ts.range('temperature', fromTimestamp, toTimestamp, {
  // Group into 10 second averages.
  AGGREGATION: {
    type: TimeSeriesAggregationType.AVERAGE,
    timeBucket: 10000
  }
});

console.log('RANGE RESPONSE:');
// rangeResponse looks like:
// [
//   { timestamp: 1640995200000, value: 356.8 },
//   { timestamp: 1640995210000, value: 534.8 },
//   { timestamp: 1640995220000, value: 481.3 },
//   { timestamp: 1640995230000, value: 437 },
//   { timestamp: 1640995240000, value: 507.3 },
//   { timestamp: 1640995250000, value: 581.2 },
//   { timestamp: 1640995260000, value: 600 }
// ]

Altering Time Series data Stored in Redis

RedisTimeSeries includes commands that can update values in a time series data structure.

Using the TS.ALTER command, we can update time series retention like this:

// https://redis.io/commands/ts.alter/
const alterResponse = await client.ts.alter('temperature', {
  RETENTION: 0 // Keep the entries forever
});

Retrieving Information about the timeseries Stored in Redis

RedisTimeSeries also includes commands that can help to view the information on the state of a time series.

Using the TS.INFO command, we can view timeseries information like this:

// Get some information about the state of the timeseries.
// https://redis.io/commands/ts.info/
const tsInfo = await client.ts.info('temperature');

// tsInfo looks like this:
// {
//   totalSamples: 1440,
//   memoryUsage: 28904,
//   firstTimestamp: 1641508920000,
//   lastTimestamp: 1641595320000,
//   retentionTime: 86400000,
//   chunkCount: 7,
//   chunkSize: 4096,
//   chunkType: 'uncompressed',
//   duplicatePolicy: 'block',
//   labels: [],
//   sourceKey: null,
//   rules: []
// }