From 640ba397bd28b9ba128f11f0788a6ec158e46479 Mon Sep 17 00:00:00 2001
From: IrisWan <150207222+WanYixian@users.noreply.github.com>
Date: Thu, 12 Dec 2024 19:20:53 +0800
Subject: [PATCH] update (#128)

---
 delivery/overview.mdx  | 4 ++++
 ingestion/overview.mdx | 4 ++++
 2 files changed, 8 insertions(+)

diff --git a/delivery/overview.mdx b/delivery/overview.mdx
index 35017bcb..b402ec1e 100644
--- a/delivery/overview.mdx
+++ b/delivery/overview.mdx
@@ -133,6 +133,10 @@ File sink currently supports only append-only mode, so please change the query t
 
 ## Batching strategy for file sink
 
+<Note>
+Batching strategy for file sink is newly introduced in version 2.1 and is not supported in versions prior to 2.1. If you want to use it, please upgrade to version 2.1.
+</Note>
+
 RisingWave implements batching strategies for file sinks to optimize file management by preventing the generation of numerous small files. The batching strategy is available for Parquet, JSON, and CSV encode. 
 
 ### Category
diff --git a/ingestion/overview.mdx b/ingestion/overview.mdx
index 291457f7..20d15db2 100644
--- a/ingestion/overview.mdx
+++ b/ingestion/overview.mdx
@@ -132,6 +132,10 @@ RisingWave supports reading data from file sources including AWS S3, GCS, and Az
 
 ### Batch reading from file source
 
+<Note>
+Batch reading from file source is newly introduced in version 2.1 and is not supported in versions prior to 2.1. If you want to use it, please upgrade to version 2.1.
+</Note>
+
 To read data in batch from file sources, you need to create a materialized view from the source or create a table with the appropriate connector. You can also directly query the file source. Below are examples using AWS S3.
 
 ```sql