TiDB 和 Java 的简单 CRUD 应用程序
本文档将展示如何使用 TiDB 和 Java 来构造一个简单的 CRUD 应用程序。
注意:
推荐使用 Java 8 及以上版本进行 TiDB 的应用程序的编写。
建议:
如果你希望使用 Spring Boot 进行 TiDB 应用程序的编写,可以查看 Build the TiDB Application using Spring Boot。
第 1 步:启动你的 TiDB 集群
本节将介绍 TiDB 集群的启动方法。
使用 TiDB Cloud 免费集群
使用本地集群
此处将简要叙述启动一个测试集群的过程,若需查看正式环境集群部署,或查看更详细的部署内容,请查阅本地启动 TiDB。
部署本地测试集群
适用场景:利用本地 macOS 或者单机 Linux 环境快速部署 TiDB 测试集群,体验 TiDB 集群的基本架构,以及 TiDB、TiKV、PD、监控等基础组件的运行
下载并安装 TiUP。
{{< copyable "shell-regular" >}}
curl --proto '=https' --tlsv1.2 -sSf https://tiup-mirrors.pingcap.com/install.sh | sh
声明全局环境变量。
注意:
TiUP 安装完成后会提示对应 profile 文件的绝对路径。在执行以下 source 命令前,需要根据 profile 文件的实际位置修改命令。
{{< copyable "shell-regular" >}}
source .bash_profile
在当前 session 执行以下命令启动集群。
直接执行
tiup playground
命令会运行最新版本的 TiDB 集群,其中 TiDB、TiKV、PD 和 TiFlash 实例各 1 个:{{< copyable "shell-regular" >}}
tiup playground
也可以指定 TiDB 版本以及各组件实例个数,命令类似于:
{{< copyable "shell-regular" >}}
tiup playground v5.4.0 --db 2 --pd 3 --kv 3
上述命令会在本地下载并启动某个版本的集群(例如 v5.4.0)。最新版本可以通过执行
tiup list tidb
来查看。运行结果将显示集群的访问方式:CLUSTER START SUCCESSFULLY, Enjoy it ^-^
To connect TiDB: mysql --comments --host 127.0.0.1 --port 4001 -u root -p (no password)
To connect TiDB: mysql --comments --host 127.0.0.1 --port 4000 -u root -p (no password)
To view the dashboard: http://127.0.0.1:2379/dashboard
PD client endpoints: [127.0.0.1:2379 127.0.0.1:2382 127.0.0.1:2384]
To view the Prometheus: http://127.0.0.1:9090
To view the Grafana: http://127.0.0.1:3000
注意:
- 支持 v5.2.0 及以上版本的 TiDB 在 Apple M1 芯片的机器上运行
tiup playground
。- 以这种方式执行的 playground,在结束部署测试后 TiUP 会清理掉原集群数据,重新执行该命令后会得到一个全新的集群。
- 若希望持久化数据,可以执行 TiUP 的
--tag
参数:tiup --tag <your-tag> playground ...
,详情参考 TiUP 参考手册。
使用云原生开发环境
基于 Git 的预配置的开发环境: 现在就试试
该环境会自动克隆代码,并通过 TiUP 部署测试集群。
第 2 步:获取代码
git clone https://github.com/pingcap-inc/tidb-example-java.git
- 使用 JDBC
- 使用 Mybatis(推荐)
- 使用 Hibernate(推荐)
进入目录 plain-java-jdbc
:
cd plain-java-jdbc
目录结构如下所示:
.
├── Makefile
├── plain-java-jdbc.iml
├── pom.xml
└── src
└── main
├── java
│ └── com
│ └── pingcap
│ └── JDBCExample.java
└── resources
└── dbinit.sql
其中,dbinit.sql
为数据表初始化语句:
USE test;
DROP TABLE IF EXISTS player;
CREATE TABLE player (
`id` VARCHAR(36),
`coins` INTEGER,
`goods` INTEGER,
PRIMARY KEY (`id`)
);
JDBCExample.java
是 plain-java-jdbc
这个示例程序的主体。因为 TiDB 与 MySQL 协议兼容,因此,需要初始化一个 MySQL 协议的数据源 MysqlDataSource
,以此连接到 TiDB。并在其后,初始化 PlayerDAO
,用来管理数据对象,进行增删改查等操作。
PlayerDAO
是程序用来管理数据对象的类。其中 DAO
是 Data Access Object 的缩写。在其中定义了一系列数据的操作方法,用来对提供数据的写入能力。
PlayerBean
是数据实体类,为数据库表在程序内的映射。PlayerBean
的每个属性都对应着 player
表的一个字段。
package com.pingcap;
import com.mysql.cj.jdbc.MysqlDataSource;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.*;
/**
* Main class for the basic JDBC example.
**/
public class JDBCExample
{
public static class PlayerBean {
private String id;
private Integer coins;
private Integer goods;
public PlayerBean() {
}
public PlayerBean(String id, Integer coins, Integer goods) {
this.id = id;
this.coins = coins;
this.goods = goods;
}
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public Integer getCoins() {
return coins;
}
public void setCoins(Integer coins) {
this.coins = coins;
}
public Integer getGoods() {
return goods;
}
public void setGoods(Integer goods) {
this.goods = goods;
}
@Override
public String toString() {
return String.format(" %-8s => %10s\n %-8s => %10s\n %-8s => %10s\n",
"id", this.id, "coins", this.coins, "goods", this.goods);
}
}
/**
* Data access object used by 'ExampleDataSource'.
* Example for CURD and bulk insert.
*/
public static class PlayerDAO {
private final MysqlDataSource ds;
private final Random rand = new Random();
PlayerDAO(MysqlDataSource ds) {
this.ds = ds;
}
/**
* Create players by passing in a List of PlayerBean.
*
* @param players Will create players list
* @return The number of create accounts
*/
public int createPlayers(List<PlayerBean> players){
int rows = 0;
Connection connection = null;
PreparedStatement preparedStatement = null;
try {
connection = ds.getConnection();
preparedStatement = connection.prepareStatement("INSERT INTO player (id, coins, goods) VALUES (?, ?, ?)");
} catch (SQLException e) {
System.out.printf("[createPlayers] ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
e.printStackTrace();
return -1;
}
try {
for (PlayerBean player : players) {
preparedStatement.setString(1, player.getId());
preparedStatement.setInt(2, player.getCoins());
preparedStatement.setInt(3, player.getGoods());
preparedStatement.execute();
rows += preparedStatement.getUpdateCount();
}
} catch (SQLException e) {
System.out.printf("[createPlayers] ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
e.printStackTrace();
} finally {
try {
connection.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
System.out.printf("\n[createPlayers]:\n '%s'\n", preparedStatement);
return rows;
}
/**
* Buy goods and transfer funds between one player and another in one transaction.
* @param sellId Sell player id.
* @param buyId Buy player id.
* @param amount Goods amount, if sell player has not enough goods, the trade will break.
* @param price Price should pay, if buy player has not enough coins, the trade will break.
*
* @return The number of effected players.
*/
public int buyGoods(String sellId, String buyId, Integer amount, Integer price) {
int effectPlayers = 0;
Connection connection = null;
try {
connection = ds.getConnection();
} catch (SQLException e) {
System.out.printf("[buyGoods] ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
e.printStackTrace();
return effectPlayers;
}
try {
connection.setAutoCommit(false);
PreparedStatement playerQuery = connection.prepareStatement("SELECT * FROM player WHERE id=? OR id=? FOR UPDATE");
playerQuery.setString(1, sellId);
playerQuery.setString(2, buyId);
playerQuery.execute();
PlayerBean sellPlayer = null;
PlayerBean buyPlayer = null;
ResultSet playerQueryResultSet = playerQuery.getResultSet();
while (playerQueryResultSet.next()) {
PlayerBean player = new PlayerBean(
playerQueryResultSet.getString("id"),
playerQueryResultSet.getInt("coins"),
playerQueryResultSet.getInt("goods")
);
System.out.println("\n[buyGoods]:\n 'check goods and coins enough'");
System.out.println(player);
if (sellId.equals(player.getId())) {
sellPlayer = player;
} else {
buyPlayer = player;
}
}
if (sellPlayer == null || buyPlayer == null) {
throw new SQLException("player not exist.");
}
if (sellPlayer.getGoods().compareTo(amount) < 0) {
throw new SQLException(String.format("sell player %s goods not enough.", sellId));
}
if (buyPlayer.getCoins().compareTo(price) < 0) {
throw new SQLException(String.format("buy player %s coins not enough.", buyId));
}
PreparedStatement transfer = connection.prepareStatement("UPDATE player set goods = goods + ?, coins = coins + ? WHERE id=?");
transfer.setInt(1, -amount);
transfer.setInt(2, price);
transfer.setString(3, sellId);
transfer.execute();
effectPlayers += transfer.getUpdateCount();
transfer.setInt(1, amount);
transfer.setInt(2, -price);
transfer.setString(3, buyId);
transfer.execute();
effectPlayers += transfer.getUpdateCount();
connection.commit();
System.out.println("\n[buyGoods]:\n 'trade success'");
} catch (SQLException e) {
System.out.printf("[buyGoods] ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
try {
System.out.println("[buyGoods] Rollback");
connection.rollback();
} catch (SQLException ex) {
// do nothing
}
} finally {
try {
connection.close();
} catch (SQLException e) {
// do nothing
}
}
return effectPlayers;
}
/**
* Get the player info by id.
*
* @param id Player id.
* @return The player of this id.
*/
public PlayerBean getPlayer(String id) {
PlayerBean player = null;
try (Connection connection = ds.getConnection()) {
PreparedStatement preparedStatement = connection.prepareStatement("SELECT * FROM player WHERE id = ?");
preparedStatement.setString(1, id);
preparedStatement.execute();
ResultSet res = preparedStatement.executeQuery();
if(!res.next()) {
System.out.printf("No players in the table with id %s", id);
} else {
player = new PlayerBean(res.getString("id"), res.getInt("coins"), res.getInt("goods"));
}
} catch (SQLException e) {
System.out.printf("PlayerDAO.getPlayer ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
}
return player;
}
/**
* Insert randomized account data (id, coins, goods) using the JDBC fast path for
* bulk inserts. The fastest way to get data into TiDB is using the
* TiDB Lightning(https://docs.pingcap.com/tidb/stable/tidb-lightning-overview).
* However, if you must bulk insert from the application using INSERT SQL, the best
* option is the method shown here. It will require the following:
*
* Add `rewriteBatchedStatements=true` to your JDBC connection settings.
* Setting rewriteBatchedStatements to true now causes CallableStatements
* with batched arguments to be re-written in the form "CALL (...); CALL (...); ..."
* to send the batch in as few client/server round trips as possible.
* https://dev.mysql.com/doc/relnotes/connector-j/5.1/en/news-5-1-3.html
*
* You can see the `rewriteBatchedStatements` param effect logic at
* implement function: `com.mysql.cj.jdbc.StatementImpl.executeBatchUsingMultiQueries`
*
* @param total Add players amount.
* @param batchSize Bulk insert size for per batch.
*
* @return The number of new accounts inserted.
*/
public int bulkInsertRandomPlayers(Integer total, Integer batchSize) {
int totalNewPlayers = 0;
try (Connection connection = ds.getConnection()) {
// We're managing the commit lifecycle ourselves, so we can
// control the size of our batch inserts.
connection.setAutoCommit(false);
// In this example we are adding 500 rows to the database,
// but it could be any number. What's important is that
// the batch size is 128.
try (PreparedStatement pstmt = connection.prepareStatement("INSERT INTO player (id, coins, goods) VALUES (?, ?, ?)")) {
for (int i=0; i<=(total/batchSize);i++) {
for (int j=0; j<batchSize; j++) {
String id = UUID.randomUUID().toString();
pstmt.setString(1, id);
pstmt.setInt(2, rand.nextInt(10000));
pstmt.setInt(3, rand.nextInt(10000));
pstmt.addBatch();
}
int[] count = pstmt.executeBatch();
totalNewPlayers += count.length;
System.out.printf("\nPlayerDAO.bulkInsertRandomPlayers:\n '%s'\n", pstmt);
System.out.printf(" => %s row(s) updated in this batch\n", count.length);
}
connection.commit();
} catch (SQLException e) {
System.out.printf("PlayerDAO.bulkInsertRandomPlayers ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
}
} catch (SQLException e) {
System.out.printf("PlayerDAO.bulkInsertRandomPlayers ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
}
return totalNewPlayers;
}
/**
* Print a subset of players from the data store by limit.
*
* @param limit Print max size.
*/
public void printPlayers(Integer limit) {
try (Connection connection = ds.getConnection()) {
PreparedStatement preparedStatement = connection.prepareStatement("SELECT * FROM player LIMIT ?");
preparedStatement.setInt(1, limit);
preparedStatement.execute();
ResultSet res = preparedStatement.executeQuery();
while (!res.next()) {
PlayerBean player = new PlayerBean(res.getString("id"),
res.getInt("coins"), res.getInt("goods"));
System.out.println("\n[printPlayers]:\n" + player);
}
} catch (SQLException e) {
System.out.printf("PlayerDAO.printPlayers ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
}
}
/**
* Count players from the data store.
*
* @return All players count
*/
public int countPlayers() {
int count = 0;
try (Connection connection = ds.getConnection()) {
PreparedStatement preparedStatement = connection.prepareStatement("SELECT count(*) FROM player");
preparedStatement.execute();
ResultSet res = preparedStatement.executeQuery();
if(res.next()) {
count = res.getInt(1);
}
} catch (SQLException e) {
System.out.printf("PlayerDAO.countPlayers ERROR: { state => %s, cause => %s, message => %s }\n",
e.getSQLState(), e.getCause(), e.getMessage());
}
return count;
}
}
public static void main(String[] args) {
// 1. Configure the example database connection.
// 1.1 Create a mysql data source instance.
MysqlDataSource mysqlDataSource = new MysqlDataSource();
// 1.2 Set server name, port, database name, username and password.
mysqlDataSource.setServerName("localhost");
mysqlDataSource.setPortNumber(4000);
mysqlDataSource.setDatabaseName("test");
mysqlDataSource.setUser("root");
mysqlDataSource.setPassword("");
// Or you can use jdbc string instead.
// mysqlDataSource.setURL("jdbc:mysql://{host}:{port}/test?user={user}&password={password}");
// 2. And then, create DAO to manager your data.
PlayerDAO dao = new PlayerDAO(mysqlDataSource);
// 3. Run some simple examples.
// Create a player, who has a coin and a goods..
dao.createPlayers(Collections.singletonList(new PlayerBean("test", 1, 1)));
// Get a player.
PlayerBean testPlayer = dao.getPlayer("test");
System.out.printf("PlayerDAO.getPlayer:\n => id: %s\n => coins: %s\n => goods: %s\n",
testPlayer.getId(), testPlayer.getCoins(), testPlayer.getGoods());
// Create players with bulk inserts. Insert 1919 players totally, with 114 players per batch.
int addedCount = dao.bulkInsertRandomPlayers(1919, 114);
System.out.printf("PlayerDAO.bulkInsertRandomPlayers:\n => %d total inserted players\n", addedCount);
// Count players amount.
int count = dao.countPlayers();
System.out.printf("PlayerDAO.countPlayers:\n => %d total players\n", count);
// Print 3 players.
dao.printPlayers(3);
// 4. Explore more.
// Player 1: id is "1", has only 100 coins.
// Player 2: id is "2", has 114514 coins, and 20 goods.
PlayerBean player1 = new PlayerBean("1", 100, 0);
PlayerBean player2 = new PlayerBean("2", 114514, 20);
// Create two players "by hand", using the INSERT statement on the backend.
addedCount = dao.createPlayers(Arrays.asList(player1, player2));
System.out.printf("PlayerDAO.createPlayers:\n => %d total inserted players\n", addedCount);
// Player 1 wants to buy 10 goods from player 2.
// It will cost 500 coins, but player 1 cannot afford it.
System.out.println("\nPlayerDAO.buyGoods:\n => this trade will fail");
int updatedCount = dao.buyGoods(player2.getId(), player1.getId(), 10, 500);
System.out.printf("PlayerDAO.buyGoods:\n => %d total update players\n", updatedCount);
// So player 1 has to reduce the incoming quantity to two.
System.out.println("\nPlayerDAO.buyGoods:\n => this trade will success");
updatedCount = dao.buyGoods(player2.getId(), player1.getId(), 2, 100);
System.out.printf("PlayerDAO.buyGoods:\n => %d total update players\n", updatedCount);
}
}
可以看到,JDBC 实现的代码略显冗余,需要自己管控错误处理逻辑,且不能很好的复用代码,并非最佳实践。
Mybatis 是当前比较流行的开源 Java 应用持久层框架,本文将以 Maven 插件的方式使用 MyBatis Generator 生成部分持久层代码。
进入目录 plain-java-mybatis
:
cd plain-java-mybatis
目录结构如下所示:
.
├── Makefile
├── pom.xml
└── src
└── main
├── java
│ └── com
│ └── pingcap
│ ├── MybatisExample.java
│ ├── dao
│ │ └── PlayerDAO.java
│ └── model
│ ├── Player.java
│ ├── PlayerMapper.java
│ └── PlayerMapperEx.java
└── resources
├── dbinit.sql
├── log4j.properties
├── mapper
│ ├── PlayerMapper.xml
│ └── PlayerMapperEx.xml
├── mybatis-config.xml
└── mybatis-generator.xml
其中,自动生成的文件有:
src/main/java/com/pingcap/model/Player.java
:Player 实体类文件src/main/java/com/pingcap/model/PlayerMapper.java
:Player Mapper 的接口文件src/main/resources/mapper/PlayerMapper.xml
:Player Mapper 的 XML 映射,它是 Mybatis 用于生成 Player Mapper 接口的实现类的配置
这些文件的生成策略被写在了 mybatis-generator.xml
配置文件内,它是 Mybatis Generator 的配置文件,下面配置文件中添加了使用方法的说明:
<!DOCTYPE generatorConfiguration PUBLIC
"-//mybatis.org//DTD MyBatis Generator Configuration 1.0//EN"
"http://mybatis.org/dtd/mybatis-generator-config_1_0.dtd">
<generatorConfiguration>
<!--
<context/> entire document: https://mybatis.org/generator/configreference/context.html
context.id: A unique identifier you like
context.targetRuntime: Used to specify the runtime target for generated code.
It has MyBatis3DynamicSql / MyBatis3Kotlin / MyBatis3 / MyBatis3Simple 4 selection to choice.
-->
<context id="simple" targetRuntime="MyBatis3">
<!--
<commentGenerator/> entire document: https://mybatis.org/generator/configreference/commentGenerator.html
commentGenerator:
- property(suppressDate): remove timestamp in comments
- property(suppressAllComments): remove all comments
-->
<commentGenerator>
<property name="suppressDate" value="true"/>
<property name="suppressAllComments" value="true" />
</commentGenerator>
<!--
<jdbcConnection/> entire document: https://mybatis.org/generator/configreference/jdbcConnection.html
jdbcConnection.driverClass: The fully qualified class name for the JDBC driver used to access the database.
Used mysql-connector-java:5.1.49, should specify JDBC is com.mysql.jdbc.Driver
jdbcConnection.connectionURL: The JDBC connection URL used to access the database.
-->
<jdbcConnection driverClass="com.mysql.jdbc.Driver"
connectionURL="jdbc:mysql://localhost:4000/test?user=root" />
<!--
<javaModelGenerator/> entire document: https://mybatis.org/generator/configreference/javaModelGenerator.html
Model code file will be generated at ${targetProject}/${targetPackage}
javaModelGenerator:
- property(constructorBased): If it's true, generator will create constructor function in model
-->
<javaModelGenerator targetPackage="com.pingcap.model" targetProject="src/main/java">
<property name="constructorBased" value="true"/>
</javaModelGenerator>
<!--
<sqlMapGenerator/> entire document: https://mybatis.org/generator/configreference/sqlMapGenerator.html
XML SQL mapper file will be generated at ${targetProject}/${targetPackage}
-->
<sqlMapGenerator targetPackage="." targetProject="src/main/resources/mapper"/>
<!--
<javaClientGenerator/> entire document: https://mybatis.org/generator/configreference/javaClientGenerator.html
Java code mapper interface file will be generated at ${targetProject}/${targetPackage}
javaClientGenerator.type (context.targetRuntime is MyBatis3):
This attribute indicated Mybatis how to implement interface.
It has ANNOTATEDMAPPER / MIXEDMAPPER / XMLMAPPER 3 selection to choice.
-->
<javaClientGenerator type="XMLMAPPER" targetPackage="com.pingcap.model" targetProject="src/main/java"/>
<!--
<table/> entire document: https://mybatis.org/generator/configreference/table.html
table.tableName: The name of the database table.
table.domainObjectName: The base name from which generated object names will be generated. If not specified, MBG will generate a name automatically based on the tableName.
table.enableCountByExample: Signifies whether a count by example statement should be generated.
table.enableUpdateByExample: Signifies whether an update by example statement should be generated.
table.enableDeleteByExample: Signifies whether a delete by example statement should be generated.
table.enableSelectByExample: Signifies whether a select by example statement should be generated.
table.selectByExampleQueryId: This value will be added to the select list of the select by example statement in this form: "'<value>' as QUERYID".
-->
<table tableName="player" domainObjectName="Player"
enableCountByExample="false" enableUpdateByExample="false"
enableDeleteByExample="false" enableSelectByExample="false"
selectByExampleQueryId="false"/>
</context>
</generatorConfiguration>
mybatis-generator.xml
在 pom.xml
中,以 mybatis-generator-maven-plugin
插件配置的方式被引入:
<plugin>
<groupId>org.mybatis.generator</groupId>
<artifactId>mybatis-generator-maven-plugin</artifactId>
<version>1.4.1</version>
<configuration>
<configurationFile>src/main/resources/mybatis-generator.xml</configurationFile>
<verbose>true</verbose>
<overwrite>true</overwrite>
</configuration>
<dependencies>
<!-- https://mvnrepository.com/artifact/mysql/mysql-connector-java -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.49</version>
</dependency>
</dependencies>
</plugin>
在 Maven 插件内引入后,可删除旧的生成文件后,通过命令 mvn mybatis-generate
生成新的文件。或者你也可以使用已经编写好的 make
命令,通过 make gen
来同时删除旧文件,并生成新文件。
注意:
mybatis-generator.xml
中的属性configuration.overwrite
仅可控制新生成的 Java 代码文件使用覆盖方式被写入,但 XML 映射文件仍会以追加方式写入。因此,推荐在 Mybaits Generator 生成新的文件前,先删除掉旧的文件。
Player.java
是使用 Mybatis Generator 生成出的数据实体类文件,为数据库表在程序内的映射。Player
类的每个属性都对应着 player
表的一个字段。
package com.pingcap.model;
public class Player {
private String id;
private Integer coins;
private Integer goods;
public Player(String id, Integer coins, Integer goods) {
this.id = id;
this.coins = coins;
this.goods = goods;
}
public Player() {
super();
}
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public Integer getCoins() {
return coins;
}
public void setCoins(Integer coins) {
this.coins = coins;
}
public Integer getGoods() {
return goods;
}
public void setGoods(Integer goods) {
this.goods = goods;
}
}
PlayerMapper.java
是使用 Mybatis Generator 生成出的映射接口文件,它仅规定了接口,接口的实现类是由 Mybatis 来通过 XML 或注解自动生成的:
package com.pingcap.model;
import com.pingcap.model.Player;
public interface PlayerMapper {
int deleteByPrimaryKey(String id);
int insert(Player row);
int insertSelective(Player row);
Player selectByPrimaryKey(String id);
int updateByPrimaryKeySelective(Player row);
int updateByPrimaryKey(Player row);
}
PlayerMapper.xml
是使用 Mybatis Generator 生成出的映射 XML 文件,Mybatis 将使用这个文件自动生成 PlayerMapper
接口的实现类:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.pingcap.model.PlayerMapper">
<resultMap id="BaseResultMap" type="com.pingcap.model.Player">
<constructor>
<idArg column="id" javaType="java.lang.String" jdbcType="VARCHAR" />
<arg column="coins" javaType="java.lang.Integer" jdbcType="INTEGER" />
<arg column="goods" javaType="java.lang.Integer" jdbcType="INTEGER" />
</constructor>
</resultMap>
<sql id="Base_Column_List">
id, coins, goods
</sql>
<select id="selectByPrimaryKey" parameterType="java.lang.String" resultMap="BaseResultMap">
select
<include refid="Base_Column_List" />
from player
where id = #{id,jdbcType=VARCHAR}
</select>
<delete id="deleteByPrimaryKey" parameterType="java.lang.String">
delete from player
where id = #{id,jdbcType=VARCHAR}
</delete>
<insert id="insert" parameterType="com.pingcap.model.Player">
insert into player (id, coins, goods
)
values (#{id,jdbcType=VARCHAR}, #{coins,jdbcType=INTEGER}, #{goods,jdbcType=INTEGER}
)
</insert>
<insert id="insertSelective" parameterType="com.pingcap.model.Player">
insert into player
<trim prefix="(" suffix=")" suffixOverrides=",">
<if test="id != null">
id,
</if>
<if test="coins != null">
coins,
</if>
<if test="goods != null">
goods,
</if>
</trim>
<trim prefix="values (" suffix=")" suffixOverrides=",">
<if test="id != null">
#{id,jdbcType=VARCHAR},
</if>
<if test="coins != null">
#{coins,jdbcType=INTEGER},
</if>
<if test="goods != null">
#{goods,jdbcType=INTEGER},
</if>
</trim>
</insert>
<update id="updateByPrimaryKeySelective" parameterType="com.pingcap.model.Player">
update player
<set>
<if test="coins != null">
coins = #{coins,jdbcType=INTEGER},
</if>
<if test="goods != null">
goods = #{goods,jdbcType=INTEGER},
</if>
</set>
where id = #{id,jdbcType=VARCHAR}
</update>
<update id="updateByPrimaryKey" parameterType="com.pingcap.model.Player">
update player
set coins = #{coins,jdbcType=INTEGER},
goods = #{goods,jdbcType=INTEGER}
where id = #{id,jdbcType=VARCHAR}
</update>
</mapper>
由于 Mybatis Generator 需要逆向生成源码,因此,数据库中需先行有此表结构,可使用 dbinit.sql
生成表结构:
USE test;
DROP TABLE IF EXISTS player;
CREATE TABLE player (
`id` VARCHAR(36),
`coins` INTEGER,
`goods` INTEGER,
PRIMARY KEY (`id`)
);
额外拆分接口 PlayerMapperEx
继承 PlayerMapper
,并且编写与之匹配的 PlayerMapperEx.xml
。避免直接更改 PlayerMapper.java
和 PlayerMapper.xml
。这是为了规避 Mybatis Generator 的反复生成,影响到自行编写的代码。
在 PlayerMapperEx.java
中定义自行增加的接口:
package com.pingcap.model;
import java.util.List;
public interface PlayerMapperEx extends PlayerMapper {
Player selectByPrimaryKeyWithLock(String id);
List<Player> selectByLimit(Integer limit);
Integer count();
}
在 PlayerMapperEx.xml
中定义映射规则:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.pingcap.model.PlayerMapperEx">
<resultMap id="BaseResultMap" type="com.pingcap.model.Player">
<constructor>
<idArg column="id" javaType="java.lang.String" jdbcType="VARCHAR" />
<arg column="coins" javaType="java.lang.Integer" jdbcType="INTEGER" />
<arg column="goods" javaType="java.lang.Integer" jdbcType="INTEGER" />
</constructor>
</resultMap>
<sql id="Base_Column_List">
id, coins, goods
</sql>
<select id="selectByPrimaryKeyWithLock" parameterType="java.lang.String" resultMap="BaseResultMap">
select
<include refid="Base_Column_List" />
from player
where `id` = #{id,jdbcType=VARCHAR}
for update
</select>
<select id="selectByLimit" parameterType="java.lang.Integer" resultMap="BaseResultMap">
select
<include refid="Base_Column_List" />
from player
limit #{id,jdbcType=INTEGER}
</select>
<select id="count" resultType="java.lang.Integer">
select count(*) from player
</select>
</mapper>
PlayerDAO.java
是程序用来管理数据对象的类。其中 DAO
是 Data Access Object 的缩写。在其中定义了一系列数据的操作方法,用于数据的写入。
package com.pingcap.dao;
import com.pingcap.model.Player;
import com.pingcap.model.PlayerMapperEx;
import org.apache.ibatis.session.SqlSession;
import org.apache.ibatis.session.SqlSessionFactory;
import java.util.List;
import java.util.function.Function;
public class PlayerDAO {
public static class NotEnoughException extends RuntimeException {
public NotEnoughException(String message) {
super(message);
}
}
// Run SQL code in a way that automatically handles the
// transaction retry logic, so we don't have to duplicate it in
// various places.
public Object runTransaction(SqlSessionFactory sessionFactory, Function<PlayerMapperEx, Object> fn) {
Object resultObject = null;
SqlSession session = null;
try {
// open a session with autoCommit is false
session = sessionFactory.openSession(false);
// get player mapper
PlayerMapperEx playerMapperEx = session.getMapper(PlayerMapperEx.class);
resultObject = fn.apply(playerMapperEx);
session.commit();
System.out.println("APP: COMMIT;");
} catch (Exception e) {
if (e instanceof NotEnoughException) {
System.out.printf("APP: ROLLBACK BY LOGIC; \n%s\n", e.getMessage());
} else {
System.out.printf("APP: ROLLBACK BY ERROR; \n%s\n", e.getMessage());
}
if (session != null) {
session.rollback();
}
} finally {
if (session != null) {
session.close();
}
}
return resultObject;
}
public Function<PlayerMapperEx, Object> createPlayers(List<Player> players) {
return playerMapperEx -> {
Integer addedPlayerAmount = 0;
for (Player player: players) {
playerMapperEx.insert(player);
addedPlayerAmount ++;
}
System.out.printf("APP: createPlayers() --> %d\n", addedPlayerAmount);
return addedPlayerAmount;
};
}
public Function<PlayerMapperEx, Object> buyGoods(String sellId, String buyId, Integer amount, Integer price) {
return playerMapperEx -> {
Player sellPlayer = playerMapperEx.selectByPrimaryKeyWithLock(sellId);
Player buyPlayer = playerMapperEx.selectByPrimaryKeyWithLock(buyId);
if (buyPlayer == null || sellPlayer == null) {
throw new NotEnoughException("sell or buy player not exist");
}
if (buyPlayer.getCoins() < price || sellPlayer.getGoods() < amount) {
throw new NotEnoughException("coins or goods not enough, rollback");
}
int affectRows = 0;
buyPlayer.setGoods(buyPlayer.getGoods() + amount);
buyPlayer.setCoins(buyPlayer.getCoins() - price);
affectRows += playerMapperEx.updateByPrimaryKey(buyPlayer);
sellPlayer.setGoods(sellPlayer.getGoods() - amount);
sellPlayer.setCoins(sellPlayer.getCoins() + price);
affectRows += playerMapperEx.updateByPrimaryKey(sellPlayer);
System.out.printf("APP: buyGoods --> sell: %s, buy: %s, amount: %d, price: %d\n", sellId, buyId, amount, price);
return affectRows;
};
}
public Function<PlayerMapperEx, Object> getPlayerByID(String id) {
return playerMapperEx -> playerMapperEx.selectByPrimaryKey(id);
}
public Function<PlayerMapperEx, Object> printPlayers(Integer limit) {
return playerMapperEx -> {
List<Player> players = playerMapperEx.selectByLimit(limit);
for (Player player: players) {
System.out.println("\n[printPlayers]:\n" + player);
}
return 0;
};
}
public Function<PlayerMapperEx, Object> countPlayers() {
return PlayerMapperEx::count;
}
}
MybatisExample
是 plain-java-mybatis
这个示例程序的主类。其中定义了入口函数:
package com.pingcap;
import com.pingcap.dao.PlayerDAO;
import com.pingcap.model.Player;
import org.apache.ibatis.io.Resources;
import org.apache.ibatis.session.SqlSessionFactory;
import org.apache.ibatis.session.SqlSessionFactoryBuilder;
import java.io.IOException;
import java.io.InputStream;
import java.util.Arrays;
import java.util.Collections;
public class MybatisExample {
public static void main( String[] args ) throws IOException {
// 1. Create a SqlSessionFactory based on our mybatis-config.xml configuration
// file, which defines how to connect to the database.
InputStream inputStream = Resources.getResourceAsStream("mybatis-config.xml");
SqlSessionFactory sessionFactory = new SqlSessionFactoryBuilder().build(inputStream);
// 2. And then, create DAO to manager your data
PlayerDAO playerDAO = new PlayerDAO();
// 3. Run some simple examples.
// Create a player who has 1 coin and 1 goods.
playerDAO.runTransaction(sessionFactory, playerDAO.createPlayers(
Collections.singletonList(new Player("test", 1, 1))));
// Get a player.
Player testPlayer = (Player)playerDAO.runTransaction(sessionFactory, playerDAO.getPlayerByID("test"));
System.out.printf("PlayerDAO.getPlayer:\n => id: %s\n => coins: %s\n => goods: %s\n",
testPlayer.getId(), testPlayer.getCoins(), testPlayer.getGoods());
// Count players amount.
Integer count = (Integer)playerDAO.runTransaction(sessionFactory, playerDAO.countPlayers());
System.out.printf("PlayerDAO.countPlayers:\n => %d total players\n", count);
// Print 3 players.
playerDAO.runTransaction(sessionFactory, playerDAO.printPlayers(3));
// 4. Getting further.
// Player 1: id is "1", has only 100 coins.
// Player 2: id is "2", has 114514 coins, and 20 goods.
Player player1 = new Player("1", 100, 0);
Player player2 = new Player("2", 114514, 20);
// Create two players "by hand", using the INSERT statement on the backend.
int addedCount = (Integer)playerDAO.runTransaction(sessionFactory,
playerDAO.createPlayers(Arrays.asList(player1, player2)));
System.out.printf("PlayerDAO.createPlayers:\n => %d total inserted players\n", addedCount);
// Player 1 wants to buy 10 goods from player 2.
// It will cost 500 coins, but player 1 cannot afford it.
System.out.println("\nPlayerDAO.buyGoods:\n => this trade will fail");
Integer updatedCount = (Integer)playerDAO.runTransaction(sessionFactory,
playerDAO.buyGoods(player2.getId(), player1.getId(), 10, 500));
System.out.printf("PlayerDAO.buyGoods:\n => %d total update players\n", updatedCount);
// So player 1 has to reduce the incoming quantity to two.
System.out.println("\nPlayerDAO.buyGoods:\n => this trade will success");
updatedCount = (Integer)playerDAO.runTransaction(sessionFactory,
playerDAO.buyGoods(player2.getId(), player1.getId(), 2, 100));
System.out.printf("PlayerDAO.buyGoods:\n => %d total update players\n", updatedCount);
}
}
可以看到,JDBC 实现的代码略显冗余,需要自己管控错误处理逻辑,且不能很好的复用代码。并非最佳实践。
当前开源比较流行的 Java ORM 为 Hibernate,且 Hibernate 在版本 6.0.0.Beta2
及以后支持了 TiDB 方言。完美适配了 TiDB 的特性。因此,此处将以 6.0.0.Beta2 + 版本进行说明。
进入目录 plain-java-hibernate
:
cd plain-java-hibernate
目录结构如下所示:
.
├── Makefile
├── plain-java-hibernate.iml
├── pom.xml
└── src
└── main
├── java
│ └── com
│ └── pingcap
│ └── HibernateExample.java
└── resources
└── hibernate.cfg.xml
其中,hibernate.cfg.xml
为 Hibernate 配置文件,定义了:
<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE hibernate-configuration PUBLIC
"-//Hibernate/Hibernate Configuration DTD 3.0//EN"
"http://www.hibernate.org/dtd/hibernate-configuration-3.0.dtd">
<hibernate-configuration>
<session-factory>
<!-- Database connection settings -->
<property name="hibernate.connection.driver_class">com.mysql.cj.jdbc.Driver</property>
<property name="hibernate.dialect">org.hibernate.dialect.TiDBDialect</property>
<property name="hibernate.connection.url">jdbc:mysql://localhost:4000/test</property>
<property name="hibernate.connection.username">root</property>
<property name="hibernate.connection.password"></property>
<property name="hibernate.connection.autocommit">false</property>
<!-- Required so a table can be created from the 'PlayerDAO' class -->
<property name="hibernate.hbm2ddl.auto">create-drop</property>
<!-- Optional: Show SQL output for debugging -->
<property name="hibernate.show_sql">true</property>
<property name="hibernate.format_sql">true</property>
</session-factory>
</hibernate-configuration>
HibernateExample.java
是 plain-java-hibernate
这个示例程序的主体。使用 Hibernate 时,相较于 JDBC,这里仅需写入配置文件地址,Hibernate 屏蔽了创建数据库连接时,不同数据库差异的细节。
PlayerDAO
是程序用来管理数据对象的类。其中 DAO
是 Data Access Object 的缩写。其中定义了一系列数据的操作方法,用来提供数据的写入能力。相较于 JDBC, Hibernate 封装了大量的操作,如对象映射、基本对象的 CRUD 等,极大的简化了代码量。
PlayerBean
是数据实体类,为数据库表在程序内的映射。PlayerBean
的每个属性都对应着 player
表的一个字段。相较于 JDBC,Hibernate 的 PlayerBean
实体类为了给 Hibernate 提供更多的信息,加入了注解,用来指示映射关系。
package com.pingcap;
import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.Id;
import jakarta.persistence.Table;
import org.hibernate.JDBCException;
import org.hibernate.Session;
import org.hibernate.SessionFactory;
import org.hibernate.Transaction;
import org.hibernate.cfg.Configuration;
import org.hibernate.query.NativeQuery;
import org.hibernate.query.Query;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.function.Function;
@Entity
@Table(name = "player_hibernate")
class PlayerBean {
@Id
private String id;
@Column(name = "coins")
private Integer coins;
@Column(name = "goods")
private Integer goods;
public PlayerBean() {
}
public PlayerBean(String id, Integer coins, Integer goods) {
this.id = id;
this.coins = coins;
this.goods = goods;
}
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public Integer getCoins() {
return coins;
}
public void setCoins(Integer coins) {
this.coins = coins;
}
public Integer getGoods() {
return goods;
}
public void setGoods(Integer goods) {
this.goods = goods;
}
@Override
public String toString() {
return String.format(" %-8s => %10s\n %-8s => %10s\n %-8s => %10s\n",
"id", this.id, "coins", this.coins, "goods", this.goods);
}
}
/**
* Main class for the basic Hibernate example.
**/
public class HibernateExample
{
public static class PlayerDAO {
public static class NotEnoughException extends RuntimeException {
public NotEnoughException(String message) {
super(message);
}
}
// Run SQL code in a way that automatically handles the
// transaction retry logic so we don't have to duplicate it in
// various places.
public Object runTransaction(Session session, Function<Session, Object> fn) {
Object resultObject = null;
Transaction txn = session.beginTransaction();
try {
resultObject = fn.apply(session);
txn.commit();
System.out.println("APP: COMMIT;");
} catch (JDBCException e) {
System.out.println("APP: ROLLBACK BY JDBC ERROR;");
txn.rollback();
} catch (NotEnoughException e) {
System.out.printf("APP: ROLLBACK BY LOGIC; %s", e.getMessage());
txn.rollback();
}
return resultObject;
}
public Function<Session, Object> createPlayers(List<PlayerBean> players) throws JDBCException {
return session -> {
Integer addedPlayerAmount = 0;
for (PlayerBean player: players) {
session.persist(player);
addedPlayerAmount ++;
}
System.out.printf("APP: createPlayers() --> %d\n", addedPlayerAmount);
return addedPlayerAmount;
};
}
public Function<Session, Object> buyGoods(String sellId, String buyId, Integer amount, Integer price) throws JDBCException {
return session -> {
PlayerBean sellPlayer = session.get(PlayerBean.class, sellId);
PlayerBean buyPlayer = session.get(PlayerBean.class, buyId);
if (buyPlayer == null || sellPlayer == null) {
throw new NotEnoughException("sell or buy player not exist");
}
if (buyPlayer.getCoins() < price || sellPlayer.getGoods() < amount) {
throw new NotEnoughException("coins or goods not enough, rollback");
}
buyPlayer.setGoods(buyPlayer.getGoods() + amount);
buyPlayer.setCoins(buyPlayer.getCoins() - price);
session.persist(buyPlayer);
sellPlayer.setGoods(sellPlayer.getGoods() - amount);
sellPlayer.setCoins(sellPlayer.getCoins() + price);
session.persist(sellPlayer);
System.out.printf("APP: buyGoods --> sell: %s, buy: %s, amount: %d, price: %d\n", sellId, buyId, amount, price);
return 0;
};
}
public Function<Session, Object> getPlayerByID(String id) throws JDBCException {
return session -> session.get(PlayerBean.class, id);
}
public Function<Session, Object> printPlayers(Integer limit) throws JDBCException {
return session -> {
NativeQuery<PlayerBean> limitQuery = session.createNativeQuery("SELECT * FROM player_hibernate LIMIT :limit", PlayerBean.class);
limitQuery.setParameter("limit", limit);
List<PlayerBean> players = limitQuery.getResultList();
for (PlayerBean player: players) {
System.out.println("\n[printPlayers]:\n" + player);
}
return 0;
};
}
public Function<Session, Object> countPlayers() throws JDBCException {
return session -> {
Query<Long> countQuery = session.createQuery("SELECT count(player_hibernate) FROM PlayerBean player_hibernate", Long.class);
return countQuery.getSingleResult();
};
}
}
public static void main(String[] args) {
// 1. Create a SessionFactory based on our hibernate.cfg.xml configuration
// file, which defines how to connect to the database.
SessionFactory sessionFactory
= new Configuration()
.configure("hibernate.cfg.xml")
.addAnnotatedClass(PlayerBean.class)
.buildSessionFactory();
try (Session session = sessionFactory.openSession()) {
// 2. And then, create DAO to manager your data.
PlayerDAO playerDAO = new PlayerDAO();
// 3. Run some simple examples.
// Create a player who has 1 coin and 1 goods.
playerDAO.runTransaction(session, playerDAO.createPlayers(Collections.singletonList(
new PlayerBean("test", 1, 1))));
// Get a player.
PlayerBean testPlayer = (PlayerBean)playerDAO.runTransaction(session, playerDAO.getPlayerByID("test"));
System.out.printf("PlayerDAO.getPlayer:\n => id: %s\n => coins: %s\n => goods: %s\n",
testPlayer.getId(), testPlayer.getCoins(), testPlayer.getGoods());
// Count players amount.
Long count = (Long)playerDAO.runTransaction(session, playerDAO.countPlayers());
System.out.printf("PlayerDAO.countPlayers:\n => %d total players\n", count);
// Print 3 players.
playerDAO.runTransaction(session, playerDAO.printPlayers(3));
// 4. Explore more.
// Player 1: id is "1", has only 100 coins.
// Player 2: id is "2", has 114514 coins, and 20 goods.
PlayerBean player1 = new PlayerBean("1", 100, 0);
PlayerBean player2 = new PlayerBean("2", 114514, 20);
// Create two players "by hand", using the INSERT statement on the backend.
int addedCount = (Integer)playerDAO.runTransaction(session,
playerDAO.createPlayers(Arrays.asList(player1, player2)));
System.out.printf("PlayerDAO.createPlayers:\n => %d total inserted players\n", addedCount);
// Player 1 wants to buy 10 goods from player 2.
// It will cost 500 coins, but player 1 cannot afford it.
System.out.println("\nPlayerDAO.buyGoods:\n => this trade will fail");
Integer updatedCount = (Integer)playerDAO.runTransaction(session,
playerDAO.buyGoods(player2.getId(), player1.getId(), 10, 500));
System.out.printf("PlayerDAO.buyGoods:\n => %d total update players\n", updatedCount);
// So player 1 has to reduce the incoming quantity to two.
System.out.println("\nPlayerDAO.buyGoods:\n => this trade will success");
updatedCount = (Integer)playerDAO.runTransaction(session,
playerDAO.buyGoods(player2.getId(), player1.getId(), 2, 100));
System.out.printf("PlayerDAO.buyGoods:\n => %d total update players\n", updatedCount);
} finally {
sessionFactory.close();
}
}
}
第 3 步:运行代码
本节将逐步介绍代码的运行方法。
第 3 步第 1 部分:JDBC 表初始化
- 使用 JDBC
- 使用 Mybatis(推荐)
- 使用 Hibernate(推荐)
在 Gitpod Playground 中尝试 JDBC: 现在就试试
使用 JDBC 时,需手动初始化数据库表,若你本地已经安装了 mysql-client
,且使用本地集群,可直接在 plain-java-jdbc
目录下运行:
make mysql
或直接执行:
mysql --host 127.0.0.1 --port 4000 -u root<src/main/resources/dbinit.sql
若你不使用本地集群,或未安装 mysql-client,请直接登录你的集群,并运行 src/main/resources/dbinit.sql
文件内的 SQL 语句。
在 Gitpod Playground 中尝试 JDBC:现在就试试
使用 JDBC 时,需手动初始化数据库表。若你本地已经安装了 mysql-client
,且使用本地集群,可直接在 plain-java-mybatis
目录下通过 make prepare
运行:
make prepare
或直接执行:
mysql --host 127.0.0.1 --port 4000 -u root < src/main/resources/dbinit.sql
若你不使用本地集群,或未安装 mysql-client
,请直接登录你的集群,并运行 src/main/resources/dbinit.sql
文件内的 SQL 语句。
在 Gitpod Playground 中尝试 Hibernate: 现在就试试
无需手动初始化表。
第 3 步第 2 部分:TiDB Cloud 更改参数
- 使用 JDBC
- 使用 Mybatis(推荐)
- 使用 Hibernate(推荐)
若你使用非本地默认集群、TiDB Cloud 或其他远程集群,更改 JDBCExample.java
内关于 Host、Port、User、Password 的参数:
mysqlDataSource.setServerName("localhost");
mysqlDataSource.setPortNumber(4000);
mysqlDataSource.setDatabaseName("test");
mysqlDataSource.setUser("root");
mysqlDataSource.setPassword("");
若你设定的密码为 123456
,而且从 TiDB Cloud 得到的连接字符串为:
mysql --connect-timeout 15 -u root -h xxx.tidbcloud.com -P 4000 -p
那么此处应将参数更改为:
mysqlDataSource.setServerName("xxx.tidbcloud.com");
mysqlDataSource.setPortNumber(4000);
mysqlDataSource.setDatabaseName("test");
mysqlDataSource.setUser("root");
mysqlDataSource.setPassword("123456");
若你使用非本地默认集群、TiDB Cloud 或其他远程集群,更改 mybatis-config.xml
内关于 dataSource.url
、dataSource.username
、dataSource.password
的参数:
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE configuration
PUBLIC "-//mybatis.org//DTD Config 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-config.dtd">
<configuration>
<settings>
<setting name="cacheEnabled" value="true"/>
<setting name="lazyLoadingEnabled" value="false"/>
<setting name="aggressiveLazyLoading" value="true"/>
<setting name="logImpl" value="LOG4J"/>
</settings>
<typeAliases>
<package name="com.pingcap.dao"/>
</typeAliases>
<environments default="development">
<environment id="development">
<!-- JDBC transaction manager -->
<transactionManager type="JDBC"/>
<!-- Database pool -->
<dataSource type="POOLED">
<property name="driver" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://127.0.0.1:4000/test"/>
<property name="username" value="root"/>
<property name="password" value=""/>
</dataSource>
</environment>
</environments>
<mappers>
<mapper resource="mapper/PlayerMapper.xml"/>
<mapper resource="mapper/PlayerMapperEx.xml"/>
</mappers>
</configuration>
若你设定的密码为 123456
,而且从 TiDB Cloud 得到的连接字符串为:
mysql --connect-timeout 15 -u root -h xxx.tidbcloud.com -P 4000 -p
那么此处应将配置文件中 dataSource
节点内更改为:
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE configuration
PUBLIC "-//mybatis.org//DTD Config 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-config.dtd">
...
<!-- Database pool -->
<dataSource type="POOLED">
<property name="driver" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://xxx.tidbcloud.com:4000/test"/>
<property name="username" value="root"/>
<property name="password" value="123456"/>
</dataSource>
...
</configuration>
若你使用非本地默认集群、TiDB Cloud 或其他远程集群,更改 hibernate.cfg.xml
内关于 hibernate.connection.url、hibernate.connection.username、hibernate.connection.password 的参数:
<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE hibernate-configuration PUBLIC
"-//Hibernate/Hibernate Configuration DTD 3.0//EN"
"http://www.hibernate.org/dtd/hibernate-configuration-3.0.dtd">
<hibernate-configuration>
<session-factory>
<!-- Database connection settings -->
<property name="hibernate.connection.driver_class">com.mysql.cj.jdbc.Driver</property>
<property name="hibernate.dialect">org.hibernate.dialect.TiDBDialect</property>
<property name="hibernate.connection.url">jdbc:mysql://localhost:4000/test</property>
<property name="hibernate.connection.username">root</property>
<property name="hibernate.connection.password"></property>
<property name="hibernate.connection.autocommit">false</property>
<!-- Required so a table can be created from the 'PlayerDAO' class -->
<property name="hibernate.hbm2ddl.auto">create-drop</property>
<!-- Optional: Show SQL output for debugging -->
<property name="hibernate.show_sql">true</property>
<property name="hibernate.format_sql">true</property>
</session-factory>
</hibernate-configuration>
若你设定的密码为 123456
,而且从 TiDB Cloud 得到的连接字符串为:
mysql --connect-timeout 15 -u root -h xxx.tidbcloud.com -P 4000 -p
那么此处应将配置文件更改为:
<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE hibernate-configuration PUBLIC
"-//Hibernate/Hibernate Configuration DTD 3.0//EN"
"http://www.hibernate.org/dtd/hibernate-configuration-3.0.dtd">
<hibernate-configuration>
<session-factory>
<!-- Database connection settings -->
<property name="hibernate.connection.driver_class">com.mysql.cj.jdbc.Driver</property>
<property name="hibernate.dialect">org.hibernate.dialect.TiDBDialect</property>
<property name="hibernate.connection.url">jdbc:mysql://xxx.tidbcloud.com:4000/test</property>
<property name="hibernate.connection.username">root</property>
<property name="hibernate.connection.password">123456</property>
<property name="hibernate.connection.autocommit">false</property>
<!-- Required so a table can be created from the 'PlayerDAO' class -->
<property name="hibernate.hbm2ddl.auto">create-drop</property>
<!-- Optional: Show SQL output for debugging -->
<property name="hibernate.show_sql">true</property>
<property name="hibernate.format_sql">true</property>
</session-factory>
</hibernate-configuration>
第 3 步第 3 部分:运行
- 使用 JDBC
- 使用 Mybatis(推荐)
- 使用 Hibernate(推荐)
运行 make
,这是以下两个操作的组合:
- 清理并构建 (make build):
mvn clean package
- 运行 (make run):
java -jar target/plain-java-jdbc-0.0.1-jar-with-dependencies.jar
你也可以单独运行这两个 make 命令或原生命令。
运行 make
,这是以下四个操作的组合:
创建表 (
make prepare
):{{< copyable "shell-regular" >}}
mysql --host 127.0.0.1 --port 4000 -u root < src/main/resources/dbinit.sql
mysql --host 127.0.0.1 --port 4000 -u root -e "TRUNCATE test.player"清理并构建 (
make gen
):{{< copyable "shell-regular" >}}
rm -f src/main/java/com/pingcap/model/Player.java
rm -f src/main/java/com/pingcap/model/PlayerMapper.java
rm -f src/main/resources/mapper/PlayerMapper.xml
mvn mybatis-generator:generate清理并构建 (
make build
):mvn clean package
运行 (
make run
):java -jar target/plain-java-mybatis-0.0.1-jar-with-dependencies.jar
你也可以单独运行这四个 make
命令或原生命令。
运行 make
,这是以下两个操作的组合:
- 清理并构建 (make build):
mvn clean package
- 运行 (make run):
java -jar target/plain-java-hibernate-0.0.1-jar-with-dependencies.jar
你也可以单独运行这两个 make 命令或原生命令。
第 4 步:预期输出
- 使用 JDBC
- 使用 Hibernate(推荐)