From 968fa536a3e3483961f74ab18707c64d04779a30 Mon Sep 17 00:00:00 2001
From: IrisWan <150207222+WanYixian@users.noreply.github.com>
Date: Mon, 16 Dec 2024 14:18:01 +0800
Subject: [PATCH] Improve the wording of note (#131)

* wording

* update
---
 delivery/overview.mdx  | 2 +-
 ingestion/overview.mdx | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/delivery/overview.mdx b/delivery/overview.mdx
index b402ec1e..29d9efc3 100644
--- a/delivery/overview.mdx
+++ b/delivery/overview.mdx
@@ -134,7 +134,7 @@ 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.
+Batching strategy for file sink is available since 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. 
diff --git a/ingestion/overview.mdx b/ingestion/overview.mdx
index 20d15db2..93175770 100644
--- a/ingestion/overview.mdx
+++ b/ingestion/overview.mdx
@@ -133,7 +133,7 @@ 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.
+Batch reading from file source is available since 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.