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     new 42384d85e7 Update nested-columns.md (#13227)
42384d85e7 is described below

commit 42384d85e7153a2aff780d3781ed2c46a66fe0c0
Author: arvindanugula <[email protected]>
AuthorDate: Sat Oct 15 04:45:46 2022 +0530

    Update nested-columns.md (#13227)
    
    typo error corrected.
---
 docs/querying/nested-columns.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/querying/nested-columns.md b/docs/querying/nested-columns.md
index 397d248ecc..447bd617c3 100644
--- a/docs/querying/nested-columns.md
+++ b/docs/querying/nested-columns.md
@@ -23,7 +23,7 @@ sidebar_label: Nested columns
   ~ under the License.
   -->
 
-> Nested columns is an experimental feature available starting in Apache Druid 
24.0. Like most experimental features, functionality documented on this page is 
subject to change in future releases. However, the COMPLEX column type includes 
versioning to provide backward compatible support in future releases. We 
strongly encourage you you experiment with nested columns in your development 
environment to evaluate that they meet your use case. If so, you can use them 
in production scenarios. [...]
+> Nested columns is an experimental feature available starting in Apache Druid 
24.0. Like most experimental features, functionality documented on this page is 
subject to change in future releases. However, the COMPLEX column type includes 
versioning to provide backward compatible support in future releases. We 
strongly encourage you to experiment with nested columns in your development 
environment to evaluate that they meet your use case. If so, you can use them 
in production scenarios.  [...]
 
 Apache Druid supports directly storing nested data structures in 
`COMPLEX<json>` columns. `COMPLEX<json>` columns store a copy of the structured 
data in JSON format and specialized internal columns and indexes for nested 
literal values&mdash;STRING, LONG, and DOUBLE types. An optimized [virtual 
column](./virtual-columns.md#nested-field-virtual-column) allows Druid to read 
and filter these values at speeds consistent with standard Druid LONG, DOUBLE, 
and STRING columns.
 


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