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RedisTimeSeries

RedisTimeSeries is a Redis Module adding a Time Series data structure to Redis.

Features

Read more about the v1.0 GA features here.

  • High volume inserts, low latency reads
  • Query by start time and end-time
  • Aggregated queries (Min, Max, Avg, Sum, Range, Count, First, Last) for any time bucket
  • Configurable maximum retention period
  • Downsampling/Compaction - automatically updated aggregated timeseries
  • Secondary index - each time series has labels (field value pairs) which will allows to query by labels

Using with other tools metrics tools

In the RedisTimeSeries organization you can find projects that help you integrate RedisTimeSeries with other tools, including:

  1. Prometheus - read/write adapter to use RedisTimeSeries as backend db.
  2. Grafana - using a SimpleJson datasource.
  3. Telegraph
  4. StatsD, Graphite exports using graphite protocol.

Memory model

A time series is a linked list of memory chunks. Each chunk has a predefined size of samples. Each sample is a tuple of the time and the value of 128 bits, 64 bits for the timestamp and 64 bits for the value.

Setup

You can either get RedisTimeSeries setup in a Docker container or on your own machine.

Docker

To quickly try out RedisTimeSeries, launch an instance using docker:

docker run -p 6379:6379 -it --rm redislabs/redistimeseries

Build and Run it yourself

You can also build and run RedisTimeSeries on your own machine.

Requirements

  • build-essential
  • The RedisTimeSeries repository: git clone https://github.com/RedisTimeSeries/RedisTimeSeries.git

Build

cd RedisTimeSeries
git submodule init
git submodule update
cd src
make all

Run

In your redis-server run: loadmodule redistimeseries.so

For more information about modules, go to the redis official documentation.

Give it a try

After you setup RedisTimeSeries, you can interact with it using redis-cli.

Here we'll create a time series representing sensor temperature measurements. After you create the time series, you can send temperature measurements. Then you can query the data for a time range on some aggregation rule.

With redis-cli

$ redis-cli
127.0.0.1:6379> TS.CREATE temperature RETENTION 60 LABELS sensor_id 2 area_id 32
OK
127.0.0.1:6379> TS.ADD temperature:3:11 1548149181 30
OK
127.0.0.1:6379> TS.ADD temperature:3:11 1548149191 42
OK
127.0.0.1:6379>  TS.RANGE temperature:3:11 1548149180 1548149210 AGGREGATION avg 5
1) 1) (integer) 1548149180
   2) "30"
2) 1) (integer) 1548149190
   2) "42"

Client libraries

Some languages have client libraries that provide support for RedisTimeSeries commands:

Project Language License Author URL
JRedisTimeSeries Java BSD-3 RedisLabs Github
redistimeseries-go Go Apache-2 RedisLabs Github
redistimeseries-py Python BSD-3 RedisLabs Github

Tests

Tests are written in python using the rmtest library.

$ cd src
$ pip install -r tests/requirements.txt # optional, use virtualenv
$ make tests

Documentation

Read the docs at http://redistimeseries.io

Mailing List / Forum

Got questions? Feel free to ask at the RedisTimeSeries mailing list.

License

Redis Source Available License Agreement, see LICENSE

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Time Series data structure for Redis

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