redis-timeseries

Manage timeseries data storage in Redis with ease

Node.js API for storing and querying time series in Redis

Convenient module for storing and querying time series statistics in Redis using Node.js.

The design (and even parts of the implementation) were picked from the ApiAxle project.

You can find basic usage examples in examples. This module also powers a real-time dashboard written in Node.js. Check the sources out for more insight.

redis-timeseries has no dependencies, and will work along the redis module you'll install in your own project. redis@~0.9.0 versions are compatible.

    var TimeSeries = require('redis-timeseries'),
        redis = require('redis').createClient();
        
    // Create the TimeSeries client 
    // 
    // "stats" is the Redis namespace which will be used 
    // for storing all the TimeSeries related keys 
    // 
    // "granularities" encodes the granularities at which 
    // you want to store statistics. More on that in the next section 
    // 
    var ts = new TimeSeries(redis, "stats", granularities);
    
    // Recording hits 
    // 
    // This increments the counters for the 
    // stats keys you provide 
    // 
    // "timestamp" defaults to the current time 
    // "increment" defaults to 1 
    // 
    ts.recordHit('your_stats_key')
      .recordHit('another_stats_key', timestamp)
      .recordHit('another_stats_key', timestamp2, increment)
      …
      .exec();
 
    // Removing hits 
    // 
    // It's also possible to decrement the hits counter for 
    // some key 
    ts.removeHit('your_stats_key', [timestamp]).exec();
      
    // Querying statistics 
    // 
    // Returns "count" chunks of counters at the precision described by 
    // "granularity_label" 
    //  
    ts.getHits('your_stats_key', granularity_label, count, function(errdata) {
        // data.length == count 
        // data = [ [ts1, count1], [ts2, count2]... ] 
    });

For each key, TimeSeries stores statistics at different granularities. For further information about this, please refer to the detailed blog post from the ApiAxle project.

The default granularities are:

{
    '1second'  : { ttl: this.minutes(5), duration: 1 },
    '1minute'  : { ttl: this.hours(1)  , duration: this.minutes(1) },
    '5minutes' : { ttl: this.days(1)   , duration: this.minutes(5) },
    '10minutes': { ttl: this.days(1)   , duration: this.minutes(10) },
    '1hour'    : { ttl: this.days(7)   , duration: this.hours(1) },
    '1day'     : { ttl: this.weeks(52) , duration: this.days(1) }
}

This means that the number of hits per second will be stored for 5 minutes, and the corresponding hashset will expire afterwards. Likewise, the number of hits per minute for a given key will be kept for an hour. Daily counters on the other hand are kept for a full year.

When querying for statistics, a granularity label is expected:

    // Give me the hits/second for the last 3 minutes 
    ts.getHits('your_stats_key', '1second', ts.minutes(3), callback);
    
    // Give me the number of hits per day for the last 2 weeks 
    ts.getHits('your_stats_key', '1day', 14, callback);
    
    // And so on 

When creating the TimeSeries client, you can override the default granularities with your own.