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     new 2320c014bd5 Update 
Jan_28_Blog_PG_Create_a_Distributed_Database_Solution_Based_on_PostgreSQL_&_openGauss.en.md
 (#31654)
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commit 2320c014bd54ee5de278d584861e405239fe42a2
Author: LJ <[email protected]>
AuthorDate: Tue Jun 11 23:57:32 2024 +0800

    Update 
Jan_28_Blog_PG_Create_a_Distributed_Database_Solution_Based_on_PostgreSQL_&_openGauss.en.md
 (#31654)
---
 ..._Solution_Based_on_PostgreSQL_&_openGauss.en.md | 39 ++++++++++++----------
 1 file changed, 22 insertions(+), 17 deletions(-)

diff --git 
a/docs/blog/content/material/Jan_28_Blog_PG_Create_a_Distributed_Database_Solution_Based_on_PostgreSQL_&_openGauss.en.md
 
b/docs/blog/content/material/Jan_28_Blog_PG_Create_a_Distributed_Database_Solution_Based_on_PostgreSQL_&_openGauss.en.md
index ea6be7c3ea6..b0618af5d06 100644
--- 
a/docs/blog/content/material/Jan_28_Blog_PG_Create_a_Distributed_Database_Solution_Based_on_PostgreSQL_&_openGauss.en.md
+++ 
b/docs/blog/content/material/Jan_28_Blog_PG_Create_a_Distributed_Database_Solution_Based_on_PostgreSQL_&_openGauss.en.md
@@ -24,9 +24,9 @@ ShardingSphere-Proxy is an adapter in the ShardingSphere 
ecosystem and is positi
 
 
 |       | ShardingSphere-JDBC | ShardingSphere-Proxy     |
-| :---        |    :----:   |          ---: |
+| :---        |    :----:   |          :---: |
 | Database      | Any       | Databases based on MySQL / PostgreSQL protocol   
|
-| Connected Consumption   | High        | Low      |
+| Connected Consumption   | High        |Low      |
 | Heterogeneous Language   | Support Java among other JVM-based languages      
  | Any      |
 | Performance   | Low loss        | Relatively high loss      |
 | Decentralization   | Yes        | No      |
@@ -46,26 +46,28 @@ However, since ShardingSphere-Proxy has an extra layer of 
network interaction co
 ![Be compatible with PostgreSQL Simple Query and Extended 
Query](https://shardingsphere.apache.org/blog/img/PostgreSQL_openGauss_img_2.png)
 
 Simple Query and Extended Query are the most common protocols for most users 
using PostgreSQL. For instance, when using the following command line tool 
`psql` to connect PostgreSQL for CRUD operation, the Simple Query is often used 
to interact with the database.
-
-`$ psql -h 127.0.0.1 -U postgres
+```
+$ psql -h 127.0.0.1 -U postgres
 psql (14.0 (Debian 14.0-1.pgdg110+1))
 Type "help" for help.
 postgres=# select id, name from person where age < 35;
  id | name 
 ----+------
   1 | Foo
-(1 row)`
+(1 row)
+```
 
 The protocol interaction diagram of Simple Query is as follows:
 
 ![3](https://shardingsphere.apache.org/blog/img/PostgreSQL_openGauss_img_3.png)
 
 When using PostgreSQL JDBC Driver and other drivers, code is as follows 
PreparedStatement, which corresponds to the Extended Query protocol in default.
-
-`String sql = "select id, name from person where age > ?";
+```
+String sql = "select id, name from person where age > ?";
 PreparedStatement ps = connection.prepareStatement(sql);
 ps.setInt(1, 35);
-ResultSet resultSet = ps.executeQuery();`
+ResultSet resultSet = ps.executeQuery();
+```
 
 The protocol interaction diagram of Extended Query is as follows:
 
@@ -85,11 +87,12 @@ openGauss database has a corresponding JDBC Driver. The 
prefix of JDBC URL is `j
 
 For example, when we prepare an insert sentence such as the following:
 
-`insert into person (id, name, age) values (?, ?, ?)`
+```insert into person (id, name, age) values (?, ?, ?)```
 
 Taking JDBC for example, we could use the following method to carry out batch 
insertion:
 
-`String sql = "insert into person (id, name, age) values (?, ?, ?)";
+```
+String sql = "insert into person (id, name, age) values (?, ?, ?)";
 PreparedStatement ps = connection.prepareStatement(sql);
 ps.setLong(1, 1);
 ps.setString(2, "Foo");
@@ -103,7 +106,8 @@ ps.setLong(1, 3);
 ps.setString(2, "Tom");
 ps.setInt(3, 54);
 ps.addBatch();
-ps.executeBatch();`
+ps.executeBatch();
+```
 
 At the PostgreSQL protocol layer, `Bind` can transfer one set of parameters to 
form Portal, and `Execute` can conduct one Portal each time.
 
@@ -117,9 +121,9 @@ Batch insertion could be realized through the repetition of 
`Bind` and `Execute`
 
 ShardingSphere-Proxy openGauss supports Batch Bind protocol, meaning that 
**users could use the openGauss client end or driver to perform batch insertion 
of the ShardingSphere Proxy.**
 
-##Future ShardingSphere-Proxy Developments
+## Future ShardingSphere-Proxy Developments
 
-###Support ShardingSphere PostgreSQL Proxy Logic Query in MetaData
+### Support ShardingSphere PostgreSQL Proxy Logic Query in MetaData
 
 ShardingSphere-Proxy is a transparent database proxy, which means that users 
do not need to think about how Proxy coordinates the databases.
 
@@ -133,7 +137,7 @@ When using `psql` to connect `PostgreSQL`, users could 
query databases and table
 
 However, different from MySQL, `show tables` is a language supported by MySQL, 
while `\d` used in `psql` actually corresponds to a more complicated SQL. 
Currently, when using ShardingSphere PostgreSQL Proxy, logic databases or logic 
tables cannot be queried.
 
-###Describe Prepared Statement Supporting Extended Query
+### Describe Prepared Statement Supporting Extended Query
 
 There are two types of Describe message in PostgreSQL protocol, which are 
Describe Portal and Describe Prepared Statement. Currently, the ShardingSphere 
Proxy only supports Describe Portal.
 
@@ -141,9 +145,10 @@ An example of the practical application of Describe 
Prepared Statement:
 
 Get the MetaData of the result set before executing PreparedStatement.
 
-`PreparedStatement preparedStatement = connection.prepareStatement("select * 
from t_order limit ?");
-ResultSetMetaData metaData = preparedStatement.getMetaData();`
-
+```
+PreparedStatement preparedStatement = connection.prepareStatement("select * 
from t_order limit ?");
+ResultSetMetaData metaData = preparedStatement.getMetaData();
+```
 The ecosystem integration of ShardingSphere and PostgreSQL and openGauss is 
still underway, with some steps left before full completion. If you are 
interested in what we are doing, you’re welcome to join the ShardingSphere 
community on GitHub, Twitter, Slack or through the official mailing list. 
 
 

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