# @redis/time-series
This package provides support for the [RedisTimeSeries](https://redistimeseries.io) module, which adds a time series data structure to Redis. It extends the [Node Redis client](https://github.com/redis/node-redis) to include functions for each of the RedisTimeSeries commands.
To use these extra commands, your Redis server must have the RedisTimeSeries module installed.
## Usage
For a complete example, see [`time-series.js`](https://github.com/redis/node-redis/blob/master/examples/time-series.js) in the Node Redis examples folder.
### Creating Time Series data structure in Redis
The [`TS.CREATE`](https://oss.redis.com/redistimeseries/commands/#tscreate) command creates a new time series.
Here, we'll create a new time series "`temperature`":
```javascript
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`](https://redis.io/commands/ts.add/) command and if we would like to add multiple values we can use the [`TS.MADD`](https://redis.io/commands/ts.madd/) command.
```javascript
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`](https://redis.io/commands/ts.range/) command by passing the criteria as follows:
```javascript
// 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`](https://redis.io/commands/ts.alter/) command, we can update time series retention like this:
```javascript
// 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`](https://redis.io/commands/ts.info/) command, we can view timeseries information like this:
```javascript
// 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: []
// }
```