TS.MADD {key timestamp value}...
Available in:
Redis Stack / TimeSeries 1.0.0
Time complexity:
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

Append new samples to one or more time series


Required arguments


is the key name for the time series.


is (integer) UNIX sample timestamp in milliseconds or * to set the timestamp according to the server clock.


is numeric data value of the sample (double). The double number should follow RFC 7159 (a JSON standard). The parser rejects overly large values that would not fit in binary64. It does not accept NaN or infinite values.


  • If timestamp is older than the retention period compared to the maximum existing timestamp, the sample is discarded and an error is returned.
  • Explicitly adding samples to a compacted time series (using TS.ADD, TS.MADD, TS.INCRBY, or TS.DECRBY) may result in inconsistencies between the raw and the compacted data. The compaction process may override such samples.


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


Add stock prices at different timestamps

Create two stocks and add their prices at three different timestamps.> TS.CREATE stock:A LABELS type stock name A
OK> TS.CREATE stock:B LABELS type stock name B
OK> TS.MADD stock:A 1000 100 stock:A 1010 110 stock:A 1020 120 stock:B 1000 120 stock:B 1010 110 stock:B 1020 100
1) (integer) 1000
2) (integer) 1010
3) (integer) 1020
4) (integer) 1000
5) (integer) 1010
6) (integer) 1020

See also



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