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content/develop/use/patterns/indexes/index.md

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## Hashes and JSON indexes
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The Redis query engine provides capabilities to index and query both hash and JSON data using a variety of field types:
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The Redis query engine provides capabilities to index and query both hash and JSON keys using a variety of field types:
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* `TEXT`
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* `TAG`
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* `VECTOR`
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* `GEOSHAPE`
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Once data has been indexed using the [`FT.CREATE`]({{< baseurl >}}/commands/ft.create) command, it can be queried using the [`FT.SEARCH`]({{< baseurl >}}/commands/ft.search) and [`FT.AGGREGATE`]({{< baseurl >}}/commands/ft.aggregate) commands.
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Once hash or JSON keys have been indexed using the [`FT.CREATE`]({{< baseurl >}}/commands/ft.create) command, all keys that use the prefix defined in the index can be queried using the [`FT.SEARCH`]({{< baseurl >}}/commands/ft.search) and [`FT.AGGREGATE`]({{< baseurl >}}/commands/ft.aggregate) commands.
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For more information on creating hash and JSON indexes, see the following pages.
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## Time series indexes
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When you create a new time series using the [`TS.CREATE`]({{< baseurl >}}/commands/ts.create) command, you can associate one or more `LABELS` with it. Each label is a name-value pair, where the value can either be text or numeric. Labels serve as a secondary index that you can query using various time series commands.
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When you create a new time series using the [`TS.CREATE`]({{< baseurl >}}/commands/ts.create) command, you can associate one or more `LABELS` with it. Each label is a name-value pair, where the both name and value are text. Labels serve as a secondary index that allows you to execute queries on groups of time series keys using various time series commands.
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See the [time series quickstart guide]({{< relref "/develop/data-types/timeseries/quickstart#labels" >}}) for an example of creating a time series with a label.
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