TS.REVRANGE key fromTimestamp toTimestamp [FILTER_BY_TS Timestamp [Timestamp ...]] [ FILTER_BY_VALUE min max] [COUNT count] [ [ALIGN value] AGGREGATION AVG | FIRST | LAST | MIN | MAX | SUM | RANGE | COUNT | STD.P | STD.S | VAR.P | VAR.S | TWA bucketDuration [BUCKETTIMESTAMP] [EMPTY]]

TS.REVRANGE

Query a range in reverse direction.

TS.REVRANGE key fromTimestamp toTimestamp
         [FILTER_BY_TS TS...]
         [FILTER_BY_VALUE min max]
         [COUNT count]
         [[ALIGN value] AGGREGATION aggregator bucketDuration [BUCKETTIMESTAMP bt] [EMPTY]]

• key - Key name for timeseries
• fromTimestamp - Start timestamp for the range query. - can be used to express the minimum possible timestamp (0).
• toTimestamp - End timestamp for range query, + can be used to express the maximum possible timestamp.

Optional parameters:

• FILTER_BY_TS ts... - a list of timestamps to filter the result by specific timestamps

• FILTER_BY_VALUE min max - Filter result by value using minimum and maximum.

• COUNT count - Maximum number of returned samples.

• ALIGN value - Time bucket alignment control for AGGREGATION. This will control the time bucket timestamps by changing the reference timestamp on which a bucket is defined. Possible values:
  • start or -: The reference timestamp will be the query start interval time (fromTimestamp)which can't be -
  • end or +: The reference timestamp will be the query end interval time (toTimestamp) which can't be +
  • A specific timestamp: align the reference timestamp to a specific time
  • Note: when not provided, alignment is set to 0

• AGGREGATION aggregator bucketDuration

  Aggregate results into time buckets.

  • aggregator - Aggregation type: One of the following:

    aggregator	description
    avg	arithmetic mean of all values
    sum	sum of all values
    min	minimum value
    max	maximum value
    range	difference between the highest and the lowest value
    count	number of values
    first	the value with the lowest timestamp in the bucket
    last	the value with the highest timestamp in the bucket
    std.p	population standard deviation of the values
    std.s	sample standard deviation of the values
    var.p	population variance of the values
    var.s	sample variance of the values
    twa	time-weighted average of all values

  • bucketDuration - duration of each bucket, in milliseconds

  The alignment of time buckets is 0.

Complexity

TS.REVRANGE complexity is O(n/m+k).

n = Number of data points m = Chunk size (data points per chunk) k = Number of data points that are in the requested range

This can be improved in the future by using binary search to find the start of the range, which makes this O(Log(n/m)+k*m). But because m is pretty small, we can neglect it and look at the operation as O(Log(n) + k).

Aggregated Query Example

127.0.0.1:6379> TS.RANGE temperature:3:32 1548149180000 1548149210000 AGGREGATION avg 5000
1) 1) (integer) 1548149180000
   2) "26.199999999999999"
2) 1) (integer) 1548149185000
   2) "27.399999999999999"
3) 1) (integer) 1548149190000
   2) "24.800000000000001"
4) 1) (integer) 1548149195000
   2) "23.199999999999999"
5) 1) (integer) 1548149200000
   2) "25.199999999999999"
6) 1) (integer) 1548149205000
   2) "28"
7) 1) (integer) 1548149210000
   2) "20"