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     new 1f7aee6e04b [doc] Typo + Grammar fix | High-Concurrency Point Query 
Optimization (#2946)
1f7aee6e04b is described below

commit 1f7aee6e04b65ec017584eb35efca61f38408d7c
Author: Hari Krishnan U <[email protected]>
AuthorDate: Sat Oct 11 14:13:13 2025 +0530

    [doc] Typo + Grammar fix | High-Concurrency Point Query Optimization (#2946)
    
    ## Versions
    
    - [ ] dev
    - [ ] 3.0
    - [ ] 2.1
    - [x] 2.0
    
    ## Languages
    
    - [ ] Chinese
    - [x] English
    
    ## Docs Checklist
    
    - [x] Checked by AI
    - [x] Test Cases Built
---
 .../version-3.0/query-acceleration/high-concurrent-point-query.md       | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git 
a/versioned_docs/version-3.0/query-acceleration/high-concurrent-point-query.md 
b/versioned_docs/version-3.0/query-acceleration/high-concurrent-point-query.md
index b7b88bf07b4..9e89010661c 100644
--- 
a/versioned_docs/version-3.0/query-acceleration/high-concurrent-point-query.md
+++ 
b/versioned_docs/version-3.0/query-acceleration/high-concurrent-point-query.md
@@ -87,7 +87,7 @@ PROPERTIES (
 
 ## Using `PreparedStatement`
 
-In order to reduce CPU cost for parsing query SQL and SQL expressions, we 
provide `PreparedStatement` feature in FE fully compatible with mysql protocol 
(currently only support point queries like above mentioned).Enable it will pre 
calculate PreparedStatement SQL and expressions and caches it in a session 
level memory buffer and will be reused later on.We could improve 4x+ 
performance by using `PreparedStatement` when CPU became bottleneck doing such 
queries.Bellow is an JDBC example of  [...]
+In order to reduce CPU cost for parsing query SQL and SQL expressions, we 
provide `PreparedStatement` feature in FE fully compatible with mysql protocol 
(currently only support point queries like above mentioned).Enable it will pre 
calculate PreparedStatement SQL and expressions and caches it in a session 
level memory buffer and will be reused later on.We could improve 4x+ 
performance by using `PreparedStatement` when CPU became bottleneck doing such 
queries. Below is a JDBC example of u [...]
 
 1. Setup JDBC url and enable server side prepared statement
 


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