TS.CREATERULE
TS.CREATERULE sourceKey destKey AGGREGATION aggregator bucketDuration [alignTimestamp]
- Available in:
- Redis Stack / TimeSeries 1.0.0
- Time complexity:
- O(1)
Create a compaction rule
Required arguments
sourceKey
is key name for the source time series.
destKey
is key name for destination (compacted) time series. It must be created before TS.CREATERULE
is called.
AGGREGATION aggregator bucketDuration
aggregates results into time buckets.
-
aggregator
takes one of the following aggregation types: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
Value with lowest timestamp in the bucket last
Value with 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 over the bucket's timeframe (since RedisTimeSeries v1.8) -
bucketDuration
is duration of each bucket, in milliseconds.
- Only new samples that are added into the source series after the creation of the rule will be aggregated.
- Calling
TS.CREATERULE
with a nonemptydestKey
may result in inconsistencies between the raw and the compacted data. - Explicitly adding samples to a compacted time series (using
TS.ADD
,TS.MADD
,TS.INCRBY
, orTS.DECRBY
) may result in inconsistencies between the raw and the compacted data. The compaction process may override such samples. - If no samples are added to the source time series during a bucket period. no compacted sample is added to the destination time series.
- The timestamp of a compacted sample added to the destination time series is set to the start timestamp the appropriate compaction bucket. For example, for a 10-minute compaction bucket with no alignment, the compacted samples timestamps are
x:00
,x:10
,x:20
, and so on. - Deleting
destKey
will cause the compaction rule to be deleted as well. - On a clustered environment, hash tags should be used to force
sourceKey
anddestKey
to be stored in the same hash slot.
Optional arguments
alignTimestamp
(since RedisTimeSeries v1.8)
ensures that there is a bucket that starts exactly at alignTimestamp
and aligns all other buckets accordingly. It is expressed in milliseconds. The default value is 0: aligned with the Unix epoch.
For example, if bucketDuration
is 24 hours (24 * 3600 * 1000
), setting alignTimestamp
to 6 hours after the Unix epoch (6 * 3600 * 1000
) ensures that each bucket’s timeframe is [06:00 .. 06:00)
.
Return value
Returns one of these replies:
- Simple string reply -
OK
if executed correctly - [] on error (invalid arguments, wrong key type, etc.), when
sourceKey
does not exist, whendestKey
does not exist, whensourceKey
is already a destination of a compaction rule, whendestKey
is already a source or a destination of a compaction rule, or whensourceKey
anddestKey
are identical
Examples
Create a compaction rule
Create a time series to store the temperatures measured in Tel Aviv.
127.0.0.1:6379> TS.CREATE temp:TLV LABELS type temp location TLV
OK
Next, create a compacted time series named dailyAvgTemp containing one compacted sample per 24 hours: the time-weighted average of all measurements taken from midnight to next midnight.
127.0.0.1:6379> TS.CREATE dailyAvgTemp:TLV LABELS type temp location TLV
127.0.0.1:6379> TS.CREATERULE temp:TLV dailyAvgTemp:TLV AGGREGATION twa 86400000
Now, also create a compacted time series named dailyDiffTemp. This time series will contain one compacted sample per 24 hours: the difference between the minimum and the maximum temperature measured between 06:00 and 06:00 next day. Here, 86400000 is the number of milliseconds in 24 hours, 21600000 is the number of milliseconds in 6 hours.
127.0.0.1:6379> TS.CREATE dailyDiffTemp:TLV LABELS type temp location TLV
127.0.0.1:6379> TS.CREATERULE temp:TLV dailyDiffTemp:TLV AGGREGATION range 86400000 21600000