From ba84c84b925c37829fb6848730f1ab0c4eb7213e Mon Sep 17 00:00:00 2001
From: Jagadisha V <129049263+JV0812@users.noreply.github.com>
Date: Fri, 12 Dec 2025 13:55:50 +0530
Subject: [PATCH] Update best practices for Scheduled View queries

Clarified the importance of using a timeslice operator in Scheduled View queries, including details on default behavior and implications for data backfilling.
---
 docs/manage/scheduled-views/scheduled-views-best-practices.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/manage/scheduled-views/scheduled-views-best-practices.md b/docs/manage/scheduled-views/scheduled-views-best-practices.md
index efecbeab8b..6334b1f449 100644
--- a/docs/manage/scheduled-views/scheduled-views-best-practices.md
+++ b/docs/manage/scheduled-views/scheduled-views-best-practices.md
@@ -11,8 +11,8 @@ A Scheduled View reduces aggregate data down to the bare minimum, so they conta
 These items are required in Scheduled View queries:
 
 * **Always use an [aggregate](/docs/search/search-query-language/group-aggregate-operators) operator**. This will allow you to avoid duplicating data.
-* **Always run an aggregation by a [timeslice](/docs/search/search-query-language/search-operators/timeslice) operator.** If you do not, [Receipt Time](/docs/search/get-started-with-search/build-search/use-receipt-time) will be used.
-
+* **Always run an aggregation with a [timeslice](/docs/search/search-query-language/search-operators/timeslice) operator.** If you do not specify one, [Receipt Time](/docs/search/get-started-with-search/build-search/use-receipt-time) will be used by default. Without timeslice or any other timestamp related field, Scheduled Views will not backfill the data. Instead it will begin populating data from the date the Scheduled View is created.
+  
 Also, keep the following things in mind when you're creating Scheduled View queries:
 
 * **Avoid using queries that are likely to change.** A key benefit of using Scheduled Views is that they can index historical data, allowing you to identify long-term trends. If a query changes, you may lose some of the historical perspective.