四、Springboot+jpa+mycat应用

一、后台配置文件

    # 连接地址
    url: jdbc:mysql://127.0.0.1:8066/CHUNK?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=GMT%2B8&rewriteBatchedStatements=true
    # 用户名
    username: root
    # 密码
    password: bluetooth@wy2019

8066：mycat默认端口

root：mycat配置文件设置、

password：mycat配置文件配置

二、mycat配置

2.1 schema.xml配置

<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://io.mycat/">

    <!-- <schema>:表示的是在mycat中的逻辑库配置，逻辑库名称为:CHUNK -->
    <schema name="CHUNK" checkSQLschema="false" sqlMaxLimit="10000">
        <!-- <table>:表示在mycat中的逻辑表配置，逻辑表名称为:cn_chunk,映射到两个数据库节点dataNode中,设置几个几点代表要分片几个库,切分规则为:rule1(在rule.xml配置) -->
        <table name="cn_chunk" primaryKey="id" autoIncrement="true" dataNode="dn01,dn02,dn03" rule="rule1">
        <childTable name="cn_chunk_lockset" primaryKey="id" joinKey="chunkId" parentKey="id" /></table>
    </schema>

    <!-- 设置dataNode 对应的数据库,及 mycat 连接的地址dataHost -->
    <!-- <dataNode>:表示数据库节点,这个节点不一定是单节点，可以配置成读写分离. -->
    <!-- <dataHost>:真实的数据库的地址配置.在下面进行配置 -->
    <!-- <heartbeat>:用户心跳检测 -->
    <!-- <writeHost>:写库的配置 -->
    <dataNode name="dn01" dataHost="localhost" database="chunk001" />
    <dataNode name="dn02" dataHost="localhost" database="chunk002" />
    <dataNode name="dn03" dataHost="localhost" database="chunk003" />

    <!-- mycat 逻辑主机dataHost对应的物理主机.其中也设置对应的mysql登陆信息 -->
    <dataHost name="localhost" maxCon="1000" minCon="10" balance="0" writeType="0" dbType="mysql" dbDriver="native">
        <heartbeat>select user()</heartbeat>
        <!-- 连接到本地数据库服务的配置 -->
        <writeHost host="server1" url="127.0.0.1:3306" user="root" password="root"/>
    </dataHost>
</mycat:schema>

2.2 rule.xml配置

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mycat:rule SYSTEM "rule.dtd">
<mycat:rule xmlns:mycat="http://io.mycat/">

    <tableRule name="rule1">
        <rule>
             <!-- 是按照id列进行切分，切分规则是采取取模的方式, -->
            <columns>id</columns>
            <algorithm>mod-long</algorithm>
        </rule>
    </tableRule>

    <function name="mod-long" class="io.mycat.route.function.PartitionByMod">
        <!-- <property name="count">2</property>:这里配置了我们有拆分了多个库(表)，需要和前面配置
        <table name="user" primaryKey="id" dataNode="dn01,dn02,dn03" rule="rule1" />
        中的dataNode个数一致，否则会出错. -->
        <property name="count">3</property>
    </function>

</mycat:rule>

2.3 server.xml配置

<?xml version="1.0" encoding="UTF-8"?>
<!-- - - Licensed under the Apache License, Version 2.0 (the "License");
    - you may not use this file except in compliance with the License. - You
    may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0
    - - Unless required by applicable law or agreed to in writing, software -
    distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT
    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the
    License for the specific language governing permissions and - limitations
    under the License. -->
<!DOCTYPE mycat:server SYSTEM "server.dtd">
<mycat:server xmlns:mycat="http://io.mycat/">
    <system>
    <property name="useSqlStat">0</property>  <!-- 1为开启实时统计、0为关闭 -->
    <property name="useGlobleTableCheck">0</property>  <!-- 1为开启全加班一致性检测、0为关闭 -->
        <property name="sequnceHandlerType">1</property>
        <!-- <property name="sequnceHandlerType">2</property>-->
      <!--  <property name="useCompression">1</property>--> <!--1为开启mysql压缩协议-->
        <!--  <property name="fakeMySQLVersion">5.6.20</property>--> <!--设置模拟的MySQL版本号-->
    <!-- <property name="processorBufferChunk">40960</property> -->
    <!--
    <property name="processors">1</property>
    <property name="processorExecutor">32</property>
     -->
        <!--默认为type 0: DirectByteBufferPool | type 1 ByteBufferArena-->
        <property name="processorBufferPoolType">0</property>
        <!--默认是65535 64K 用于sql解析时最大文本长度 -->
        <!--<property name="maxStringLiteralLength">65535</property>-->
        <!--<property name="sequnceHandlerType">0</property>-->
        <!--<property name="backSocketNoDelay">1</property>-->
        <!--<property name="frontSocketNoDelay">1</property>-->
        <!--<property name="processorExecutor">16</property>-->
        <!--
            <property name="serverPort">8066</property> <property name="managerPort">9066</property>
            <property name="idleTimeout">300000</property> <property name="bindIp">0.0.0.0</property>
            <property name="frontWriteQueueSize">4096</property> <property name="processors">32</property> -->
        <!--分布式事务开关，0为不过滤分布式事务，1为过滤分布式事务（如果分布式事务内只涉及全局表，则不过滤），2为不过滤分布式事务,但是记录分布式事务日志-->
        <property name="handleDistributedTransactions">0</property>

            <!--
            off heap for merge/order/group/limit      1开启   0关闭
        -->
        <property name="useOffHeapForMerge">1</property>

        <!--
            单位为m
        -->
        <property name="memoryPageSize">1m</property>

        <!--
            单位为k
        -->
        <property name="spillsFileBufferSize">1k</property>

        <property name="useStreamOutput">0</property>

        <!--
            单位为m
        -->
        <property name="systemReserveMemorySize">384m</property>

        <!--是否采用zookeeper协调切换  -->
        <property name="useZKSwitch">true</property>

    </system>

    <!-- 全局SQL防火墙设置 -->
    <!--
    <firewall>
       <whitehost>
          <host host="127.0.0.1" user="mycat"/>
          <host host="127.0.0.2" user="mycat"/>
       </whitehost>
       <blacklist check="false">
       </blacklist>
    </firewall>
    -->

    <user name="root">
        <!-- java项目配置文件连接的密码 -->
        <property name="password">bluetooth@wy2019</property>
        <!-- schema.xml下的逻辑库，要一致 -->
        <property name="schemas">CHUNK</property>

        <!-- 表级 DML 权限设置 -->
        <!--
        <privileges check="false">
            <schema name="TESTDB" dml="0110" >
                <table name="tb01" dml="0000"></table>
                <table name="tb02" dml="1111"></table>
            </schema>
        </privileges>
         -->
    </user>

    <user name="user">
        <property name="password">user</property>
        <!-- schema.xml下的逻辑库，要一致 -->
        <property name="schemas">CHUNK</property>
        <property name="readOnly">true</property>
    </user>

</mycat:server>

2.4 sequence_db_conf.properties配置

#sequence stored in datanode
GLOBAL=dn1
COMPANY=dn1
CUSTOMER=dn1
ORDERS=dn1
#逻辑库的分片函数在对应个库下
CN_CHUNK=dn01

三、建表语句

#创建表语句区块与子表区块锁
#添加表 区块
DROP TABLE IF EXISTS `cn_chunk`;
CREATE TABLE `cn_chunk` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `createdAt` datetime DEFAULT NULL COMMENT '创建时间',
  `modifiedAt` datetime DEFAULT NULL COMMENT '更新时间',
  `createdBy` varchar(36) DEFAULT NULL COMMENT '创建人',
  `modifiedBy` varchar(36) DEFAULT NULL COMMENT '更新人',
  `version` int(11) DEFAULT NULL COMMENT '版本号',
  `isDelete` int(11) DEFAULT NULL COMMENT '是否删除',
  `keyInfoId` varchar(36) DEFAULT NULL COMMENT '钥匙id',
  `chunkOne` int(11) DEFAULT NULL COMMENT '区块1',
  `chunkTwo` int(11) DEFAULT NULL COMMENT '区块2',
  `chunkThree` int(11) DEFAULT NULL COMMENT '区块3',
  `chunkFour` int(11) DEFAULT NULL COMMENT '区块4',
  `chunkFive` int(11) DEFAULT NULL COMMENT '区块5',
  `chunkSix` int(11) DEFAULT NULL COMMENT '区块6',
  `chunkSeven` int(11) DEFAULT NULL COMMENT '区块7',
  `chunkEight` int(11) DEFAULT NULL COMMENT '区块8',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

#添加表 区块锁
DROP TABLE IF EXISTS `cn_chunk_lockset`;
CREATE TABLE `cn_chunk_lockset` (
  `id` varchar(36) NOT NULL,
  `createdAt` datetime DEFAULT NULL COMMENT '创建时间',
  `modifiedAt` datetime DEFAULT NULL COMMENT '更新时间',
  `createdBy` varchar(36) DEFAULT NULL COMMENT '创建人',
  `modifiedBy` varchar(36) DEFAULT NULL COMMENT '更新人',
  `version` int(11) DEFAULT NULL COMMENT '版本号',
  `isDelete` int(11) DEFAULT NULL COMMENT '是否删除',
  `taskId` varchar(36) DEFAULT NULL COMMENT '任务id',
  `keyInfoId` varchar(36) DEFAULT NULL COMMENT '钥匙id',
  `startTime` datetime DEFAULT NULL COMMENT '起始时间',
  `endTime` datetime DEFAULT NULL COMMENT '截止时间',
  `chunkLocation` int(11) DEFAULT NULL COMMENT '对应区块(1-8)',
  `lockSetId` varchar(36) DEFAULT NULL COMMENT '锁具信息id',
  `lockId` varchar(50) DEFAULT NULL COMMENT '锁具Id',
  `lockSetName` varchar(50) DEFAULT NULL COMMENT '锁具名称',
  `principalId` varchar(36) DEFAULT NULL COMMENT '执行人id',
  `lockIdDecimal` int(11) DEFAULT NULL COMMENT '锁具Id十进制',
  `chunkId` bigint(20) DEFAULT NULL COMMENT '区块id',
  `thisUpdate` int(11) DEFAULT NULL COMMENT '本次更新（0：否，1：是）',
  `sequence` int(11) DEFAULT NULL COMMENT '区块锁序列号',
  PRIMARY KEY (`id`),
  KEY `fk_cn_chunk_lockset_cn_chunk` (`chunkId`),
  CONSTRAINT `cn_chunk_lockset_ibfk_1` FOREIGN KEY (`chunkId`) REFERENCES `cn_chunk` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

四、对应实体类

@Getter
@Setter
@Entity
@Table(name = "cn_chunk")
public class Chunk extends ChunkBaseEntity {

    /** 钥匙id*/
    @ApiModelProperty(value = "钥匙id")
    private String keyInfoId;

    /** 区块1*/
    @ApiModelProperty(value = "区块1")
    private Integer chunkOne = 0;

    /** 区块2*/
    @ApiModelProperty(value = "区块2")
    private Integer chunkTwo = 0;

    /** 区块3*/
    @ApiModelProperty(value = "区块3")
    private Integer chunkThree = 0;

    /** 区块4*/
    @ApiModelProperty(value = "区块4")
    private Integer chunkFour = 0;

    /** 区块5*/
    @ApiModelProperty(value = "区块5")
    private Integer chunkFive = 0;

    /** 区块6*/
    @ApiModelProperty(value = "区块6")
    private Integer chunkSix = 0;

    /** 区块7*/
    @ApiModelProperty(value = "区块7")
    private Integer chunkSeven = 0;

    /** 区块8*/
    @ApiModelProperty(value = "区块8")
    private Integer chunkEight = 0;

}

@Getter
@Setter
@Entity
@Table(name = "cn_chunk_lockset")
public class ChunkLockSet extends BaseEntity {

    /** 任务id*/
    @ApiModelProperty(value = "任务id")
    @Column(length = 36)
    private String taskId;

    /** 钥匙id*/
    @ApiModelProperty(value = "钥匙id")
    private String keyInfoId;

    /** 起始时间*/
    @ApiModelProperty(value = "起始时间")
    private LocalDateTime startTime;

    /** 截止时间*/
    @ApiModelProperty(value = "截止时间")
    private LocalDateTime endTime;

    /** 区块*/
    @ApiModelProperty(value = "区块")
    @ManyToOne
    @JoinColumn(name = "chunkId", updatable = false, insertable = false)
    @JsonIgnore
    private Chunk chunk;

    /** 区块id*/
    @ApiModelProperty(value = "区块id")
    @Column(name = "chunkId", updatable = false, length = 36)
    private Long chunkId;

    /** 对应区块(1-8)*/
    @ApiModelProperty(value = "对应区块(1-8)")
    private Integer chunkLocation;

    /** 锁具信息id*/
    @ApiModelProperty(value = "锁具信息id")
    @Column(name = "lockSetId", length = 36)
    private String lockSetId;

    /** 锁具Id*/
    @ApiModelProperty(value = "锁具Id")
    @Column(length = 50)
    private String lockId;

    /** 锁具Id十进制*/
    @ApiModelProperty(value = "锁具Id十进制")
    private Integer lockIdDecimal;

    /** 锁具名称*/
    @ApiModelProperty(value = "锁具名称")
    @Column(length = 50)
    private String lockSetName;

    /** 执行人id*/
    @ApiModelProperty(value = "执行人id")
    @Column(name = "principalId", length = 36)
    private String principalId;

    /** 是否已上传（0：否，1：是）*/
    @ApiModelProperty(value = "是否已上传（0：否，1：是）")
    private Integer thisUpdate = BooleanEnum.FALSE.ordinal();

    /** 区块锁序列号*/
    @ApiModelProperty(value = "区块锁序列号")
    private Integer sequence;

}

@Getter
@Setter
@MappedSuperclass
@EntityListeners(AuditingEntityListener.class)
@Slf4j
public abstract class ChunkBaseEntity implements Serializable {

    /**
     * 主键id
     * GenericGenerator 注解 strategy 参数设置参考如下
     * @see org.hibernate.id.factory.internal.DefaultIdentifierGeneratorFactory
     * 参考网站：https://blog.csdn.net/mafian/article/details/53968878
     */
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    @Column(name = "id", updatable = false)
    @ApiModelProperty(value = "主键id", position = 1)
    private Long id;

    /** 创建时间*/
    @CreatedDate
    @ApiModelProperty(value = "创建时间", position = 2)
    @JsonFormat
    @DateTimeFormat
    private LocalDateTime createdAt;

    /** 更新时间*/
    @LastModifiedDate
    @ApiModelProperty(value = "更新时间", position = 3)
    @JsonFormat
    @DateTimeFormat
    private LocalDateTime modifiedAt;

    /** 创建人*/
    @Column(length = 36)
    @CreatedBy
    @ApiModelProperty(value = "创建人", position = 4)
    private String createdBy;

    /** 更新人*/
    @Column(length = 36)
    @LastModifiedBy
    @ApiModelProperty(value = "更新人", position = 5)
    private String modifiedBy;

    /** 版本（乐观锁）*/
    @Version
    @ApiModelProperty(value = "版本（乐观锁）", position = 6)
    private Integer version;

    /** 逻辑删除*/
    @ApiModelProperty(value = "逻辑删除", position = 7)
    private Integer isDelete = BooleanEnum.FALSE.ordinal();

}

五、mycat分片函数

配置文件：sequence_db_conf.properties
设置节点：CN_CHUNK=dn01

该参数设置在哪个节点，则就在对应的数据库内执行

#函数自增  实现新增数据自增长以1开始
#添加表
DROP TABLE IF EXISTS MYCAT_SEQUENCE;
CREATE TABLE MYCAT_SEQUENCE (
NAME VARCHAR (50) NOT NULL,
current_value INT NOT NULL,
increment INT NOT NULL DEFAULT 100,
PRIMARY KEY (NAME)
) ENGINE = INNODB ;

INSERT INTO MYCAT_SEQUENCE(name,current_value,increment) VALUES ('GLOBAL', 10000000, 100);

DROP FUNCTION IF EXISTS `mycat_seq_currval`;
DELIMITER ;;
CREATE FUNCTION `mycat_seq_currval`(seq_name VARCHAR(50))
RETURNS varchar(64) CHARSET utf8
    DETERMINISTIC
BEGIN DECLARE retval VARCHAR(64);
        SET retval="-999999999,null";
        SELECT concat(CAST(current_value AS CHAR),",",CAST(increment AS CHAR) ) INTO retval
          FROM MYCAT_SEQUENCE WHERE name = seq_name;
        RETURN retval ;
END
;;
DELIMITER ;

DROP FUNCTION IF EXISTS `mycat_seq_nextval`;
DELIMITER ;;
CREATE FUNCTION `mycat_seq_nextval`(seq_name VARCHAR(50)) RETURNS varchar(64)
 CHARSET utf8
    DETERMINISTIC
BEGIN UPDATE MYCAT_SEQUENCE
                 SET current_value = current_value + increment
                  WHERE name = seq_name;
         RETURN mycat_seq_currval(seq_name);
END
;;
DELIMITER ;

DROP FUNCTION IF EXISTS `mycat_seq_setval`;
DELIMITER ;;
CREATE FUNCTION `mycat_seq_setval`(seq_name VARCHAR(50), value INTEGER)
RETURNS varchar(64) CHARSET utf8
    DETERMINISTIC
BEGIN UPDATE MYCAT_SEQUENCE
                   SET current_value = value
                   WHERE name = seq_name;
         RETURN mycat_seq_currval(seq_name);
END
;;
DELIMITER ;

#插入一条数据，这条数据是我们这个表所需要的。
#必须是大写的字符，不然就会报错
#插入需要自增张的表的策略
#其中cn_chunk代表哪张表实现自增
insert into  MYCAT_SEQUENCE (name,current_value,increment) values ('cn_chunk',0,1);

六、关闭默认事务

import org.springframework.context.annotation.Configuration;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;

/**
 * 关闭jpamor默认事务
 * @author lixin.shao
 */
@EnableJpaRepositories(basePackages = "com.hs.lock.bluetooth.chunk", enableDefaultTransactions = false)
@Configuration
public class JpaTransactionConfig {
}