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Co-authored-by: shainaraskas <[email protected]>
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leemthompo and shainaraskas authored Jan 29, 2025
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The time series aggregation queries data created using a time series index. This is typically data such as metrics
The time series aggregation queries data created using a <<tsds,Time series data stream (TSDS)>>. This is typically data such as metrics
or other data streams with a time component, and requires creating an index using the time series mode.

[NOTE]
====
When you create a time series index, you must:
* Set `index.mode` to `"time_series"`.
* Specify at least one dimension field by adding `"time_series_dimension": true` in your mapping.
* Provide a `routing_path` array listing the dimension fields.
These fields ensure that documents sharing the same dimensions are routed to the same shard,
and they allow the `time_series` aggregation to produce meaningful bucket results.
Refer to the <<differences-from-regular-data-stream, TSDS documentation>> to learn more about the key differences from regular data streams.
====

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