From 42384d85e7153a2aff780d3781ed2c46a66fe0c0 Mon Sep 17 00:00:00 2001 From: arvindanugula Date: Sat, 15 Oct 2022 04:45:46 +0530 Subject: [PATCH] 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 397d248ecce..447bd617c3a 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. Review the release notes and this page to stay up to date with changes. +> 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. Review the release notes and this page to stay up to date with changes. Apache Druid supports directly storing nested data structures in `COMPLEX` columns. `COMPLEX` columns store a copy of the structured data in JSON format and specialized internal columns and indexes for nested literal values—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.