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new 99b3ad99044 Refactor XAShardingSphereTransactionManagerTest (#23036)
99b3ad99044 is described below
commit 99b3ad990446d54f2b86c6e822442bafd096674d
Author: Liang Zhang <[email protected]>
AuthorDate: Thu Dec 22 18:33:29 2022 +0800
Refactor XAShardingSphereTransactionManagerTest (#23036)
---
.../Jul_26_An_introduction_to_DistSQL.en.md | 268 ++++++++++-----------
.../fonts/libre-baskerville-v7-latin-700.eot | Bin 31987 -> 31986 bytes
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.../xa/XAShardingSphereTransactionManagerTest.java | 14 +-
53 files changed, 139 insertions(+), 143 deletions(-)
diff --git a/docs/blog/content/material/Jul_26_An_introduction_to_DistSQL.en.md
b/docs/blog/content/material/Jul_26_An_introduction_to_DistSQL.en.md
index d8991a66a0f..151ba2efe26 100644
--- a/docs/blog/content/material/Jul_26_An_introduction_to_DistSQL.en.md
+++ b/docs/blog/content/material/Jul_26_An_introduction_to_DistSQL.en.md
@@ -1,134 +1,134 @@
-+++
-
-title = "An Introduction to DistSQL"
-weight = 16
-chapter = true
-
-+++
-
-We believe that if you’re reading this then you’re familiar with SQL
(Structured Query Language), the data query and programming language. It’s also
used as the standard language of relational database management systems for
accessing data, querying, updating and managing relational database systems.
-
-Similar to standard SQL, DistSQL, or Distributed SQL, is a built-in SQL
language unique to ShardingSphere that provides incremental functional
capabilities beyond standard SQL. Leveraging ShardingSphere's powerful SQL
parsing engine, DistSQL provides a syntax structure and syntax validation
system like that of standard SQL - making DistSQL more flexible while
maintaining regularity.
-
-ShardingSphere's Database Plus concept aims at creating an Open-Source
distributed database system that is both functional and relevant to the actual
database business. DistSQL is built on top of the traditional database to
provide SQL capabilities that are both standards-compliant and feature
ShardingSphere's functionality to better energize the traditional database.
-
-## Original Design Intention of DistSQL
-
-Over its rapid development years, ShardingSphere has become unique in the
database middleware space as the kernel has gradually stabilized, and the core
functionality has continuously been honed. As an Open-Source leader in Asia and
China in particular, ShardingSphere did not stop in its exploration of a
distributed database ecosystem.
-
-Redefining the boundary between middleware and database and allowing
developers to leverage Apache ShardingSphere as if they were using a database
natively is DistSQL's design goal. It is also an integral part of
ShardingSphere's ability to transform from a developer-oriented framework and
middleware to an operations-oriented infrastructure product.
-
-## DistSQL Syntax System
-
-DistSQL has been designed from the outset to be standards-oriented,
considering the habits of both database developers and operators. The syntax of
DistSQL is based on the standard SQL language, considering readability and ease
of use, while retaining the maximum amount of ShardingSphere's own features and
providing the highest possible number of customization options for users to
cope with different business scenarios. Developers familiar with SQL and
ShardingSphere can get started quickly.
-
-While standard SQL provides different types of syntaxes such as DQL, DDL, DML,
DCL etc. to define different functional SQL statements, DistSQL defines a
syntax system of its own as well.
-
-In ShardingSphere, the DistSQL syntax is currently divided into three main
types: RDL, RQL and RAL.
-
-RDL (Resource & Rule Definition Language): Resource rule definition language
for creating, modifying and deleting resources and rules.
-
-RQL (Resource & Rule Query Language): resource rule query language for
querying and presenting resources and rules.
-
-RAL (Resource & Rule Administration Language): resource rule administration
language for incremental functional operations such as Hint, transaction type
switching, and query of sharding execution plan.
-
-DistSQL's syntax builds a bridge for ShardingSphere to move towards a
distributed database, and while it is still being improved as more ideas are
implemented, DistSQL is bound to get more powerful. Developers who are
interested are welcome to join ShardingSphere and contribute ideas and code to
DistSQL.
-
-For more detailed syntax rules, please refer to the official documentation:
[https://[shardingsphere.apache.org/document/current/cn/features/dist-sql/syntax/]()]()
-
-For the project’s community, please refer to the official Slack channel:
-[https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg]()
-
-## DistSQL in Practice
-
-Having understood the design concept and syntax system of DistSQL, let’s take
data sharding as an example to demonstrate how to build a data sharding service
based on ShardingSphere.
-
-### Environment preparation:
-1. Start MySQL Services
-2. Create a MySQL database for sharding
-3. Start the Zookeeper service
-4. Turn on the distributed governance configuration and start
ShardingSphere-Proxy
[(https://shardingsphere.apache.org/document/current/cn/quick-start/shardingsphere-proxy-quick-start/)]()
-
-### Practical demonstration:
-* Connect to the launched ShardingSphere-Proxy using the MySQL command line
-* Create and query the distributed database `sharding_db`
-
-
-
-* Use the newly created database
-
-
-
-* Execute RDL to configure 2 data source resources `ds_1` and `ds_2` for
sharding
-
-
-
-* Execute RQL to query the newly added data source resources
-
-
-
-* Execute RDL to create a sharding rule for the `t_order` table
-
-
-
-* Execute RQL to query the sharding rules
-
-
-
-In addition to querying all sharding rules under the current database, RQL can
also query individual tables for sharding rules with the following statement
-`SHOW SHARDING TABLE RULE t_order FROM sharding_db`
-
-* Creating and querying the `t_order` sharding table
-
-
-
-* After successfully creating the sharding table `t_order` on the
ShardingSphere-Proxy side, ShardingSphere automatically creates the sharding
table based on the sharding rules of the `t_order` table by connecting to the
underlying databases `ds_1` and `ds_2` via the client side.
-
-
-
-
-
-* Once the sharding table is created, continue to execute the SQL statement on
the ShardingSphere-Proxy side to insert the data
-
-
-
-* Query the execution plan via RAL
-
-
-
-This completes the ShardingSphere data sharding service using DistSQL.
Compared to the previous version of the ShardingSphere proxy, which was
profile-driven, DistSQL is more developer-friendly and more flexible in
managing resources and rules. Moreover, the SQL-driven approach enables
seamless interfacing between DistSQL and standard SQL.
-
-
-
-In the above example, only a small part of the DistSQL syntax is demonstrated.
In addition to creating and querying resources and rules via `CREATE` and
`SHOW` statements, DistSQL also provides additional operations such as `ALTRE
DROP`, and supports configuration control of data sharding’s core functions,
read and write separation, data encryption and database discovery.
-
-## Conclusion
-
-As one of the new features released in Apache ShardingSphere’s 5.0.0-beta,
DistSQL will continue to build on this release to provide improve syntax and
increasingly powerful functions.
-
-DistSQL has opened up endless possibilities for ShardingSphere to explore in
the distributed database space, and in the future DistSQL will be used as a
link to connect more functions and provide one-click operations. For example,
we will analyze the overall database status with one click, connect with
elastic migration, provide one-click data expansion and shrinkage, and connect
with control to realize one-click master-slave switch and change database
status.
-
-We warmly welcome Open-Source and Java script enthusiasts to join our Slack
community or check our GitHub to learn more about ShardingSphere’s latest
developments.
-
-### Author
-
-**Meng Haoran**
-
-SphereEx Senior Java Engineer
-
-Apache ShardingSphere Committer
-
-Previously responsible for the database products R&D at JingDong Technology,
he is about Open-Source passionate and database ecosystems.
-Currently, he focuses on the development of the ShardingSphere database
middleware ecosystem and Open-Source community building.
-
-
-
-ShardingSphere Github: <https://github.com/apache/shardingsphere>
-
-ShardingSphere Twitter: <https://twitter.com/ShardingSphere>
-
-ShardingSphere Slack Channel: <https://bit.ly/3qB2GGc>
-
-Haoran's Github: <https://github.com/menghaoranss>
-
-Haoran's Twitter: <https://twitter.com/HaoranMeng2>
++++
+
+title = "An Introduction to DistSQL"
+weight = 16
+chapter = true
+
++++
+
+We believe that if you’re reading this then you’re familiar with SQL
(Structured Query Language), the data query and programming language. It’s also
used as the standard language of relational database management systems for
accessing data, querying, updating and managing relational database systems.
+
+Similar to standard SQL, DistSQL, or Distributed SQL, is a built-in SQL
language unique to ShardingSphere that provides incremental functional
capabilities beyond standard SQL. Leveraging ShardingSphere's powerful SQL
parsing engine, DistSQL provides a syntax structure and syntax validation
system like that of standard SQL - making DistSQL more flexible while
maintaining regularity.
+
+ShardingSphere's Database Plus concept aims at creating an Open-Source
distributed database system that is both functional and relevant to the actual
database business. DistSQL is built on top of the traditional database to
provide SQL capabilities that are both standards-compliant and feature
ShardingSphere's functionality to better energize the traditional database.
+
+## Original Design Intention of DistSQL
+
+Over its rapid development years, ShardingSphere has become unique in the
database middleware space as the kernel has gradually stabilized, and the core
functionality has continuously been honed. As an Open-Source leader in Asia and
China in particular, ShardingSphere did not stop in its exploration of a
distributed database ecosystem.
+
+Redefining the boundary between middleware and database and allowing
developers to leverage Apache ShardingSphere as if they were using a database
natively is DistSQL's design goal. It is also an integral part of
ShardingSphere's ability to transform from a developer-oriented framework and
middleware to an operations-oriented infrastructure product.
+
+## DistSQL Syntax System
+
+DistSQL has been designed from the outset to be standards-oriented,
considering the habits of both database developers and operators. The syntax of
DistSQL is based on the standard SQL language, considering readability and ease
of use, while retaining the maximum amount of ShardingSphere's own features and
providing the highest possible number of customization options for users to
cope with different business scenarios. Developers familiar with SQL and
ShardingSphere can get started quickly.
+
+While standard SQL provides different types of syntaxes such as DQL, DDL, DML,
DCL etc. to define different functional SQL statements, DistSQL defines a
syntax system of its own as well.
+
+In ShardingSphere, the DistSQL syntax is currently divided into three main
types: RDL, RQL and RAL.
+
+RDL (Resource & Rule Definition Language): Resource rule definition language
for creating, modifying and deleting resources and rules.
+
+RQL (Resource & Rule Query Language): resource rule query language for
querying and presenting resources and rules.
+
+RAL (Resource & Rule Administration Language): resource rule administration
language for incremental functional operations such as Hint, transaction type
switching, and query of sharding execution plan.
+
+DistSQL's syntax builds a bridge for ShardingSphere to move towards a
distributed database, and while it is still being improved as more ideas are
implemented, DistSQL is bound to get more powerful. Developers who are
interested are welcome to join ShardingSphere and contribute ideas and code to
DistSQL.
+
+For more detailed syntax rules, please refer to the official documentation:
[https://[shardingsphere.apache.org/document/current/cn/features/dist-sql/syntax/]()]()
+
+For the project’s community, please refer to the official Slack channel:
+[https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg]()
+
+## DistSQL in Practice
+
+Having understood the design concept and syntax system of DistSQL, let’s take
data sharding as an example to demonstrate how to build a data sharding service
based on ShardingSphere.
+
+### Environment preparation:
+1. Start MySQL Services
+2. Create a MySQL database for sharding
+3. Start the Zookeeper service
+4. Turn on the distributed governance configuration and start
ShardingSphere-Proxy
[(https://shardingsphere.apache.org/document/current/cn/quick-start/shardingsphere-proxy-quick-start/)]()
+
+### Practical demonstration:
+* Connect to the launched ShardingSphere-Proxy using the MySQL command line
+* Create and query the distributed database `sharding_db`
+
+
+
+* Use the newly created database
+
+
+
+* Execute RDL to configure 2 data source resources `ds_1` and `ds_2` for
sharding
+
+
+
+* Execute RQL to query the newly added data source resources
+
+
+
+* Execute RDL to create a sharding rule for the `t_order` table
+
+
+
+* Execute RQL to query the sharding rules
+
+
+
+In addition to querying all sharding rules under the current database, RQL can
also query individual tables for sharding rules with the following statement
+`SHOW SHARDING TABLE RULE t_order FROM sharding_db`
+
+* Creating and querying the `t_order` sharding table
+
+
+
+* After successfully creating the sharding table `t_order` on the
ShardingSphere-Proxy side, ShardingSphere automatically creates the sharding
table based on the sharding rules of the `t_order` table by connecting to the
underlying databases `ds_1` and `ds_2` via the client side.
+
+
+
+
+
+* Once the sharding table is created, continue to execute the SQL statement on
the ShardingSphere-Proxy side to insert the data
+
+
+
+* Query the execution plan via RAL
+
+
+
+This completes the ShardingSphere data sharding service using DistSQL.
Compared to the previous version of the ShardingSphere proxy, which was
profile-driven, DistSQL is more developer-friendly and more flexible in
managing resources and rules. Moreover, the SQL-driven approach enables
seamless interfacing between DistSQL and standard SQL.
+
+
+
+In the above example, only a small part of the DistSQL syntax is demonstrated.
In addition to creating and querying resources and rules via `CREATE` and
`SHOW` statements, DistSQL also provides additional operations such as `ALTRE
DROP`, and supports configuration control of data sharding’s core functions,
read and write separation, data encryption and database discovery.
+
+## Conclusion
+
+As one of the new features released in Apache ShardingSphere’s 5.0.0-beta,
DistSQL will continue to build on this release to provide improve syntax and
increasingly powerful functions.
+
+DistSQL has opened up endless possibilities for ShardingSphere to explore in
the distributed database space, and in the future DistSQL will be used as a
link to connect more functions and provide one-click operations. For example,
we will analyze the overall database status with one click, connect with
elastic migration, provide one-click data expansion and shrinkage, and connect
with control to realize one-click master-slave switch and change database
status.
+
+We warmly welcome Open-Source and Java script enthusiasts to join our Slack
community or check our GitHub to learn more about ShardingSphere’s latest
developments.
+
+### Author
+
+**Meng Haoran**
+
+SphereEx Senior Java Engineer
+
+Apache ShardingSphere Committer
+
+Previously responsible for the database products R&D at JingDong Technology,
he is about Open-Source passionate and database ecosystems.
+Currently, he focuses on the development of the ShardingSphere database
middleware ecosystem and Open-Source community building.
+
+
+
+ShardingSphere Github: <https://github.com/apache/shardingsphere>
+
+ShardingSphere Twitter: <https://twitter.com/ShardingSphere>
+
+ShardingSphere Slack Channel: <https://bit.ly/3qB2GGc>
+
+Haoran's Github: <https://github.com/menghaoranss>
+
+Haoran's Twitter: <https://twitter.com/HaoranMeng2>
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diff --git
a/kernel/transaction/type/xa/core/src/test/java/org/apache/shardingsphere/transaction/xa/XAShardingSphereTransactionManagerTest.java
b/kernel/transaction/type/xa/core/src/test/java/org/apache/shardingsphere/transaction/xa/XAShardingSphereTransactionManagerTest.java
index 2842f483db2..b2047d1a50e 100644
---
a/kernel/transaction/type/xa/core/src/test/java/org/apache/shardingsphere/transaction/xa/XAShardingSphereTransactionManagerTest.java
+++
b/kernel/transaction/type/xa/core/src/test/java/org/apache/shardingsphere/transaction/xa/XAShardingSphereTransactionManagerTest.java
@@ -28,10 +28,10 @@ import
org.apache.shardingsphere.transaction.xa.jta.datasource.XATransactionData
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
+import org.mockito.internal.util.reflection.FieldReader;
import javax.sql.DataSource;
import javax.transaction.Transaction;
-import java.lang.reflect.Field;
import java.sql.Connection;
import java.sql.SQLException;
import java.util.LinkedHashMap;
@@ -134,20 +134,16 @@ public final class XAShardingSphereTransactionManagerTest
{
assertFalse(xaTransactionManager.isInTransaction());
}
- @SneakyThrows(ReflectiveOperationException.class)
+ @SneakyThrows(NoSuchFieldException.class)
@SuppressWarnings("unchecked")
private Map<String, XATransactionDataSource> getCachedDataSources() {
- Field field =
xaTransactionManager.getClass().getDeclaredField("cachedDataSources");
- field.setAccessible(true);
- return (Map<String, XATransactionDataSource>)
field.get(xaTransactionManager);
+ return (Map<String, XATransactionDataSource>) new
FieldReader(xaTransactionManager,
xaTransactionManager.getClass().getDeclaredField("cachedDataSources")).read();
}
- @SneakyThrows(ReflectiveOperationException.class)
+ @SneakyThrows(NoSuchFieldException.class)
@SuppressWarnings("unchecked")
private ThreadLocal<Map<Transaction, Connection>>
getEnlistedTransactions(final XATransactionDataSource transactionDataSource) {
- Field field =
transactionDataSource.getClass().getDeclaredField("enlistedTransactions");
- field.setAccessible(true);
- return (ThreadLocal<Map<Transaction, Connection>>)
field.get(transactionDataSource);
+ return (ThreadLocal<Map<Transaction, Connection>>) new
FieldReader(transactionDataSource,
transactionDataSource.getClass().getDeclaredField("enlistedTransactions")).read();
}
private Map<String, DataSource> createDataSources(final DatabaseType
databaseType) {
