docs: remove experimental note from query from deep storage docs (#15132

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apache · Oct 12, 2023 · 265c811 · 265c811
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diff --git a/docs/api-reference/sql-api.md b/docs/api-reference/sql-api.md
@@ -367,8 +367,6 @@ The following table shows examples of how Druid returns the column names and dat
 
 ## Query from deep storage
 
-> Query from deep storage is an [experimental feature](../development/experimental.md).
-
 You can use the `sql/statements` endpoint to query segments that exist only in deep storage and are not loaded onto your Historical processes as determined by your load rules.
 
 Note that at least one segment of a datasource must be available on a Historical process so that the Broker can plan your query. A quick way to check if this is true is whether or not a datasource is visible in the Druid console.

diff --git a/docs/querying/query-from-deep-storage.md b/docs/querying/query-from-deep-storage.md
@@ -22,8 +22,6 @@ title: "Query from deep storage"
   ~ under the License.
   -->
 
-> Query from deep storage is an [experimental feature](../development/experimental.md).
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 Druid can query segments that are only stored in deep storage. Running a query from deep storage is slower than running queries from segments that are loaded on Historical processes, but it's a great tool for data that you either access infrequently or where the low latency results that typical Druid queries provide is not necessary. Queries from deep storage can increase the surface area of data available to query without requiring you to scale your Historical processes to accommodate more segments.
 
 ## Keep segments in deep storage only

diff --git a/docs/tutorials/tutorial-query-deep-storage.md b/docs/tutorials/tutorial-query-deep-storage.md
@@ -23,9 +23,6 @@ sidebar_label: "Query from deep storage"
   ~ under the License.
   -->
 
-
-> Query from deep storage is an [experimental feature](../development/experimental.md).
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 Query from deep storage allows you to query segments that are stored only in deep storage, which provides lower costs than if you were to load everything onto Historical processes. The tradeoff is that queries from deep storage may take longer to complete. 
 
 This tutorial walks you through loading example data, configuring load rules so that not all the segments get loaded onto Historical processes, and querying data from deep storage.