Skip to content

RedisTimeSeries Commands

Create

TS.CREATE

Create a new time-series.

TS.CREATE key [RETENTION retentionTime] [LABELS field value..]
  • key - Key name for timeseries

Optional args:

  • retentionTime - Maximum age for samples compared to last event time (in milliseconds)
    • Default: The global retention secs configuration of the database (by default, 0)
    • When set to 0, the series is not trimmed at all
  • labels - Set of key-value pairs that represent metadata labels of the key

Create Example

TS.CREATE temperature RETENTION 60000 LABELS sensor_id 2 area_id 32

Update

TS.ALTER

Update the retention, labels of an existing key. The parameters are the same as TS.CREATE.

TS.ALTER key [RETENTION retentionTime] [LABELS field value..]

Alter Example

TS.ALTER temperature LABELS sensor_id 2 area_id 32 sub_area_id 15

Notes

  • The command only alters the fields that are given, e.g. if labels are given but retention isn't, then only the retention is altered.
  • If the labels are altered, the given label-list is applied, i.e. labels that are not present in the given list are removed implicitly.
  • Supplying the labels keyword without any fields will remove all existing labels.

TS.ADD

Append (or create and append) a new value to the series.

TS.ADD key timestamp value [RETENTION retentionTime] [LABELS field value..]
  • timestamp - UNIX timestamp (in milliseconds) or * for automatic timestamp (using the system clock)
  • value - Sample numeric data value (double)

These arguments are optional because they can be set by TS.CREATE:

  • retentionTime - Maximum age for samples compared to last event time (in milliseconds)
    • Default: The global retention secs configuration of the database (by default, 0)
    • When set to 0, the series is not trimmed at all
  • labels - Set of key-value pairs that represent metadata labels of the key

If this command is used to add data to an existing timeseries, retentionTime and labels are ignored.

Examples

127.0.0.1:6379>TS.ADD temperature:2:32 1548149180000 26 LABELS sensor_id 2 area_id 32
(integer) 1548149180000
127.0.0.1:6379>TS.ADD temperature:3:11 1548149183000 27 RETENTION 3600
(integer) 1548149183000
127.0.0.1:6379>TS.ADD temperature:3:11 * 30
(integer) 1559718352000

Complexity

If a compaction rule exits on a timeseries, TS.ADD performance might be reduced. The complexity of TS.ADD is always O(M) when M is the amount of compaction rules or O(1) with no compaction.

Notes

  • You can use this command to add data to an non existing timeseries in a single command. This is the reason why labels and retentionTime are optional arguments.
  • When specified and the key doesn't exist, RedisTimeSeries will create the key with the specified labels and or retentionTime. Setting the labels and retentionTime introduces additional time complexity.

TS.MADD

Append new values to a list of series.

TS.ADD key timestamp value [key timestamp value ...]
  • timestamp - UNIX timestamp or * for automatic timestamp (using the system clock)
  • value - Sample numeric data value (double)

Examples

127.0.0.1:6379>TS.MADD temperature:2:32 1548149180000 26 cpu:2:32 1548149183000 54
1) (integer) 1548149180000
2) (integer) 1548149183000
127.0.0.1:6379>TS.MADD temperature:2:32 1548149181000 45 cpu:2:32 1548149180000 30
1) (integer) 1548149181000
2) (error) TSDB: timestamp is too old

Complexity

If a compaction rule exits on a timeseries, TS.MADD performance might be reduced. The complexity of TS.MADD is always O(N*M) when N is the amount of series updated and M is the amount of compaction rules or O(N) with no compaction.

TS.INCRBY/TS.DECRBY

Increment the latest value.

TS.INCRBY key value [RESET time-bucket] [RETENTION retentionTime] [LABELS field value..]

or

TS.DECRBY key value [RESET time-bucket] [RETENTION retentionTime] [LABELS field value..]

This command can be used as a counter or gauge that automatically gets history as a time series.

  • key - Key name for timeseries
  • value - Sample numeric data value (double)

Optional args:

  • time-bucket - Time bucket for resetting the current counter in milliseconds
  • retentionTime - Maximum age for samples compared to last event time (in milliseconds)
    • Default: The global retention secs configuration of the database (by default, 0)
    • When set to 0, the series is not trimmed at all
  • labels - Set of key-value pairs that represent metadata labels of the key

If this command is used to add data to an existing timeseries, retentionTime and labels are ignored.

Notes

  • You can use this command to add data to an non existing timeseries in a single command. This is the reason why labels and retentionTime are optional arguments.
  • When specified and the key doesn't exist, RedisTimeSeries will create the key with the specified labels and or retentionTime. Setting the labels and retentionTime introduces additional time complexity.

Aggregation, Compaction, Downsampling

TS.CREATERULE

Create a compaction rule.

TS.CREATERULE sourceKey destKey AGGREGATION aggType timeBucket
  • sourceKey - Key name for source time series
  • destKey - Key name for destination time series
  • aggType - Aggregation type: avg, sum, min, max, range, count, first, last
  • timeBucket - Time bucket for aggregation in milliseconds

DEST_KEY should be of a timeseries type, and should be created before TS.CREATERULE is called.

TS.DELETERULE

Delete a compaction rule.

TS.DELETERULE sourceKey destKey
  • sourceKey - Key name for source time series
  • destKey - Key name for destination time series

Query

Filtering

For certain read commands a list of filters needs to be applied. This is the list of possible filters: l=v label equals value l!=v label doesn't equal value l= key does not ha * ve the label l l!= key has label l l=(v1, v2, ...) key with label l that equals one of the values in the list l!=(v1, v2, ...) key with label l that doesn't equals to the values in the list

Note: Whenever filters need to be provided, a minimum of one filter should be applied.

TS.RANGE

Query a range.

TS.RANGE key fromTimestamp toTimestamp [AGGREGATION aggregationType timeBucket]
  • key - Key name for timeseries
  • fromTimestamp - Start timestamp for range query
  • toTimestamp - End timestamp for range query

Optional args:

  • aggregationType - Aggregation type: avg, sum, min, max, range, count, first, last
  • timeBucket - Time bucket for aggregation in milliseconds

Complexity

TS.RANGE 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"

TS.MRANGE

Query a range by filters.

TS.MRANGE fromTimestamp toTimestamp [AGGREGATION aggregationType timeBucket] FILTER filter..
  • fromTimestamp - Start timestamp for range query
  • toTimestamp - End timestamp for range query
  • filter - See Filtering

Optional args:

  • aggregationType - Aggregation type: avg, sum, min, max, count, first, last
  • timeBucket - Time bucket for aggregation in milliseconds

Query by Filters Example

127.0.0.1:6379> TS.MRANGE 1548149180000 1548149210000 AGGREGATION avg 5000 FILTER area_id=32 sensor_id!=1
1) 1) "temperature:2:32"
   2) 1) 1) "sensor_id"
         2) "2"
      2) 1) "area_id"
         2) "32"
   3) 1) 1) (integer) 1548149180000
         2) "27.600000000000001"
      2) 1) (integer) 1548149185000
         2) "23.800000000000001"
      3) 1) (integer) 1548149190000
         2) "24.399999999999999"
      4) 1) (integer) 1548149195000
         2) "24"
      5) 1) (integer) 1548149200000
         2) "25.600000000000001"
      6) 1) (integer) 1548149205000
         2) "25.800000000000001"
      7) 1) (integer) 1548149210000
         2) "21"
2) 1) "temperature:3:32"
   2) 1) 1) "sensor_id"
         2) "3"
      2) 1) "area_id"
         2) "32"
   3) 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"

TS.GET

Get the last sample.

TS.GET key
  • key - Key name for timeseries

Get Example

127.0.0.1:6379> TS.GET temperature:2:32
1) (integer) 1548149279
2) "23"

TS.MGET

Get the last samples matching the specific filter.

TS.MGET FILTER filter...

MGET Example

127.0.0.1:6379> TS.MGET FILTER area_id=32
1) 1) "temperature:2:32"
   2) 1) 1) "sensor_id"
         2) "2"
      2) 1) "area_id"
         2) "32"
   3) (integer) 1548149181000
   4) "30"
2) 1) "temperature:3:32"
   2) 1) 1) "sensor_id"
         2) "3"
      2) 1) "area_id"
         2) "32"
   3) (integer) 1548149181000
   4) "29"

General

TS.INFO

Query the series metadata

TS.INFO key
  • key - Key name for timeseries

Info Example

TS.INFO temperature:2:32
 1) lastTimestamp
 2) (integer) 1548149279000
 3) retentionTime
 4) (integer) 0
 5) chunkCount
 6) (integer) 1
 7) maxSamplesPerChunk
 8) (integer) 1024
 9) labels
10) 1) 1) "sensor_id"
       2) "2"
    2) 1) "area_id"
       2) "32"
11) rules
12) (empty list or set)

TS.QUERYINDEX

Get all the keys matching the filter list.

TS.QUERYINDEX filter...

Query index example

127.0.0.1:6379> TS.QUERYINDEX sensor_id=2
1) "temperature:2:32"
2) "temperature:2:33"