1、配置多数据源所需要的jar
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.10</version>
</dependency>
<!-- 配置注解执行器配置完成后,当执行类中已经定义了对象和该对象的字段后,在配置文件中对该类赋值时,便会非常方便的弹出提示信息 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-configuration-processor</artifactId>
<optional>true</optional>
</dependency>
<!-- 阿里数据库连接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.2.11</version>
</dependency>
2、配置多数据源所需要的工具类
SpringUtils
import org.springframework.aop.framework.AopContext;
import org.springframework.beans.BeansException;
import org.springframework.beans.factory.NoSuchBeanDefinitionException;
import org.springframework.beans.factory.config.BeanFactoryPostProcessor;
import org.springframework.beans.factory.config.ConfigurableListableBeanFactory;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ApplicationContextAware;
import org.springframework.stereotype.Component;
@Component
public final class SpringUtils implements BeanFactoryPostProcessor, ApplicationContextAware {
private static ConfigurableListableBeanFactory beanFactory;
private static ApplicationContext applicationContext;
@Override
public void postProcessBeanFactory(ConfigurableListableBeanFactory beanFactory) throws BeansException {
SpringUtils.beanFactory = beanFactory;
}
@Override
public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
SpringUtils.applicationContext = applicationContext;
}
@SuppressWarnings("unchecked")
public static <T> T getBean(String name) throws BeansException {
return (T) beanFactory.getBean(name);
}
public static <T> T getBean(Class<T> clz) throws BeansException {
T result = (T) beanFactory.getBean(clz);
return result;
}
public static boolean containsBean(String name) {
return beanFactory.containsBean(name);
}
public static boolean isSingleton(String name) throws NoSuchBeanDefinitionException {
return beanFactory.isSingleton(name);
}
public static Class<?> getType(String name) throws NoSuchBeanDefinitionException {
return beanFactory.getType(name);
}
public static String[] getAliases(String name) throws NoSuchBeanDefinitionException {
return beanFactory.getAliases(name);
}
@SuppressWarnings("unchecked")
public static <T> T getAopProxy(T invoker) {
return (T) AopContext.currentProxy();
}
public static String[] getActiveProfiles() {
return applicationContext.getEnvironment().getActiveProfiles();
}
public static String getActiveProfile() {
final String[] activeProfiles = getActiveProfiles();
return StringUtils.isNotEmpty(activeProfiles) ? activeProfiles[0] : null;
}
public static String getRequiredProperty(String key) {
return applicationContext.getEnvironment().getRequiredProperty(key);
}
}
StringUtils
import cn.hutool.core.text.StrFormatter;
import org.springframework.util.AntPathMatcher;
import java.util.*;
public class StringUtils extends org.apache.commons.lang3.StringUtils {
private static final String NULLSTR = "";
private static final char SEPARATOR = '_';
public static <T> T nvl(T value, T defaultValue) {
return value != null ? value : defaultValue;
}
public static boolean isEmpty(Collection<?> coll) {
return isNull(coll) || coll.isEmpty();
}
public static boolean isNotEmpty(Collection<?> coll) {
return !isEmpty(coll);
}
public static boolean isEmpty(Object[] objects) {
return isNull(objects) || (objects.length == 0);
}
public static boolean isNotEmpty(Object[] objects) {
return !isEmpty(objects);
}
public static boolean isEmpty(Map<?, ?> map) {
return isNull(map) || map.isEmpty();
}
public static boolean isNotEmpty(Map<?, ?> map) {
return !isEmpty(map);
}
public static boolean isEmpty(String str) {
return isNull(str) || NULLSTR.equals(str.trim());
}
public static boolean isNotEmpty(String str) {
return !isEmpty(str);
}
public static boolean isNull(Object object) {
return object == null;
}
public static boolean isNotNull(Object object) {
return !isNull(object);
}
public static boolean isArray(Object object) {
return isNotNull(object) && object.getClass().isArray();
}
public static String trim(String str) {
return (str == null ? "" : str.trim());
}
public static String substring(final String str, int start) {
if (str == null) {
return NULLSTR;
}
if (start < 0) {
start = str.length() + start;
}
if (start < 0) {
start = 0;
}
if (start > str.length()) {
return NULLSTR;
}
return str.substring(start);
}
public static String substring(final String str, int start, int end) {
if (str == null) {
return NULLSTR;
}
if (end < 0) {
end = str.length() + end;
}
if (start < 0) {
start = str.length() + start;
}
if (end > str.length()) {
end = str.length();
}
if (start > end) {
return NULLSTR;
}
if (start < 0) {
start = 0;
}
if (end < 0) {
end = 0;
}
return str.substring(start, end);
}
public static String format(String template, Object... params) {
if (isEmpty(params) || isEmpty(template)) {
return template;
}
return StrFormatter.format(template, params);
}
public static final Set<String> str2Set(String str, String sep) {
return new HashSet<String>(str2List(str, sep, true, false));
}
public static final List<String> str2List(String str, String sep, boolean filterBlank, boolean trim) {
List<String> list = new ArrayList<String>();
if (StringUtils.isEmpty(str)) {
return list;
}
// 过滤空白字符串
if (filterBlank && StringUtils.isBlank(str)) {
return list;
}
String[] split = str.split(sep);
for (String string : split) {
if (filterBlank && StringUtils.isBlank(string)) {
continue;
}
if (trim) {
string = string.trim();
}
list.add(string);
}
return list;
}
public static boolean containsAnyIgnoreCase(CharSequence cs, CharSequence... searchCharSequences) {
if (isEmpty(cs) || isEmpty(searchCharSequences)) {
return false;
}
for (CharSequence testStr : searchCharSequences) {
if (containsIgnoreCase(cs, testStr)) {
return true;
}
}
return false;
}
public static String toUnderScoreCase(String str) {
if (str == null) {
return null;
}
StringBuilder sb = new StringBuilder();
// 前置字符是否大写
boolean preCharIsUpperCase = true;
// 当前字符是否大写
boolean curreCharIsUpperCase = true;
// 下一字符是否大写
boolean nexteCharIsUpperCase = true;
for (int i = 0; i < str.length(); i++) {
char c = str.charAt(i);
if (i > 0) {
preCharIsUpperCase = Character.isUpperCase(str.charAt(i - 1));
} else {
preCharIsUpperCase = false;
}
curreCharIsUpperCase = Character.isUpperCase(c);
if (i < (str.length() - 1)) {
nexteCharIsUpperCase = Character.isUpperCase(str.charAt(i + 1));
}
if (preCharIsUpperCase && curreCharIsUpperCase && !nexteCharIsUpperCase) {
sb.append(SEPARATOR);
} else if ((i != 0 && !preCharIsUpperCase) && curreCharIsUpperCase) {
sb.append(SEPARATOR);
}
sb.append(Character.toLowerCase(c));
}
return sb.toString();
}
public static boolean inStringIgnoreCase(String str, String... strs) {
if (str != null && strs != null) {
for (String s : strs) {
if (str.equalsIgnoreCase(trim(s))) {
return true;
}
}
}
return false;
}
public static String lastStringDel(String str, String spit) {
if (!StringUtils.isEmpty(str) && str.endsWith(spit)) {
return str.subSequence(0, str.length() - 1).toString();
}
return str;
}
public static String convertToCamelCase(String name) {
StringBuilder result = new StringBuilder();
// 快速检查
if (name == null || name.isEmpty()) {
// 没必要转换
return "";
} else if (!name.contains("_")) {
// 不含下划线,仅将首字母大写
return name.substring(0, 1).toUpperCase() + name.substring(1);
}
// 用下划线将原始字符串分割
String[] camels = name.split("_");
for (String camel : camels) {
// 跳过原始字符串中开头、结尾的下换线或双重下划线
if (camel.isEmpty()) {
continue;
}
// 首字母大写
result.append(camel.substring(0, 1).toUpperCase());
result.append(camel.substring(1).toLowerCase());
}
return result.toString();
}
public static String toCamelCase(String s) {
if (s == null) {
return null;
}
if (s.indexOf(SEPARATOR) == -1) {
return s;
}
s = s.toLowerCase();
StringBuilder sb = new StringBuilder(s.length());
boolean upperCase = false;
for (int i = 0; i < s.length(); i++) {
char c = s.charAt(i);
if (c == SEPARATOR) {
upperCase = true;
} else if (upperCase) {
sb.append(Character.toUpperCase(c));
upperCase = false;
} else {
sb.append(c);
}
}
return sb.toString();
}
public static boolean matches(String str, List<String> strs) {
if (isEmpty(str) || isEmpty(strs)) {
return false;
}
for (String pattern : strs) {
if (isMatch(pattern, str)) {
return true;
}
}
return false;
}
public static boolean isMatch(String pattern, String url) {
AntPathMatcher matcher = new AntPathMatcher();
return matcher.match(pattern, url);
}
@SuppressWarnings("unchecked")
public static <T> T cast(Object obj) {
return (T) obj;
}
public static final String padl(final Number num, final int size) {
return padl(num.toString(), size, '0');
}
public static final String padl(final String s, final int size, final char c) {
final StringBuilder sb = new StringBuilder(size);
if (s != null) {
final int len = s.length();
if (s.length() <= size) {
for (int i = size - len; i > 0; i--) {
sb.append(c);
}
sb.append(s);
} else {
return s.substring(len - size, len);
}
} else {
for (int i = size; i > 0; i--) {
sb.append(c);
}
}
return sb.toString();
}
}
3、DataSourceType 枚举类
public enum DataSourceType {
MASTER,
SLAVE
}
4、DruidProperties druid 配置属性
import com.alibaba.druid.pool.DruidDataSource;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Configuration;
@Configuration
public class DruidProperties {
@Value("${spring.datasource.druid.initialSize}")
private int initialSize;
@Value("${spring.datasource.druid.minIdle}")
private int minIdle;
@Value("${spring.datasource.druid.maxActive}")
private int maxActive;
@Value("${spring.datasource.druid.maxWait}")
private int maxWait;
@Value("${spring.datasource.druid.timeBetweenEvictionRunsMillis}")
private int timeBetweenEvictionRunsMillis;
@Value("${spring.datasource.druid.minEvictableIdleTimeMillis}")
private int minEvictableIdleTimeMillis;
@Value("${spring.datasource.druid.maxEvictableIdleTimeMillis}")
private int maxEvictableIdleTimeMillis;
@Value("${spring.datasource.druid.validationQuery}")
private String validationQuery;
@Value("${spring.datasource.druid.testWhileIdle}")
private boolean testWhileIdle;
@Value("${spring.datasource.druid.testOnBorrow}")
private boolean testOnBorrow;
@Value("${spring.datasource.druid.testOnReturn}")
private boolean testOnReturn;
public DruidDataSource dataSource(DruidDataSource datasource) {
datasource.setInitialSize(initialSize);
datasource.setMaxActive(maxActive);
datasource.setMinIdle(minIdle);
datasource.setMaxWait(maxWait);
datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
datasource.setMaxEvictableIdleTimeMillis(maxEvictableIdleTimeMillis);
datasource.setValidationQuery(validationQuery);
datasource.setTestWhileIdle(testWhileIdle);
datasource.setTestOnBorrow(testOnBorrow);
datasource.setTestOnReturn(testOnReturn);
return datasource;
}
}
5、DruidConfig druid 配置多数据源
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceBuilder;
import com.alibaba.druid.spring.boot.autoconfigure.properties.DruidStatProperties;
import com.alibaba.druid.util.Utils;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import sanss.ywyx.utils.SpringUtils;
import javax.servlet.*;
import javax.sql.DataSource;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
@Configuration
public class DruidConfig {
@Bean
@ConfigurationProperties("spring.datasource.druid.master")
public DataSource masterDataSource(DruidProperties druidProperties) {
DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
return druidProperties.dataSource(dataSource);
}
@Bean
@ConfigurationProperties("spring.datasource.druid.slave")
@ConditionalOnProperty(prefix = "spring.datasource.druid.slave", name = "enabled", havingValue = "true")
public DataSource slaveDataSource(DruidProperties druidProperties) {
DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
return druidProperties.dataSource(dataSource);
}
@Bean(name = "dynamicDataSource")
@Primary
public DynamicDataSource dataSource(DataSource masterDataSource) {
Map<Object, Object> targetDataSources = new HashMap<>();
targetDataSources.put(DataSourceType.MASTER.name(), masterDataSource);
setDataSource(targetDataSources, DataSourceType.SLAVE.name(), "slaveDataSource");
return new DynamicDataSource(masterDataSource, targetDataSources);
}
public void setDataSource(Map<Object, Object> targetDataSources, String sourceName, String beanName) {
try {
DataSource dataSource = SpringUtils.getBean(beanName);
targetDataSources.put(sourceName, dataSource);
} catch (Exception e) {
}
}
@SuppressWarnings({"rawtypes", "unchecked"})
@Bean
@ConditionalOnProperty(name = "spring.datasource.druid.statViewServlet.enabled", havingValue = "true")
public FilterRegistrationBean removeDruidFilterRegistrationBean(DruidStatProperties properties) {
// 获取web监控页面的参数
DruidStatProperties.StatViewServlet config = properties.getStatViewServlet();
// 提取common.js的配置路径
String pattern = config.getUrlPattern() != null ? config.getUrlPattern() : "/druid
public class DynamicDataSource extends AbstractRoutingDataSource {
public DynamicDataSource(DataSource defaultTargetDataSource, Map<Object, Object> targetDataSources) {
super.setDefaultTargetDataSource(defaultTargetDataSource);
super.setTargetDataSources(targetDataSources);
super.afterPropertiesSet();
}
@Override
protected Object determineCurrentLookupKey() {
return DynamicDataSourceContextHolder.getDataSourceType();
}
}
7、DynamicDataSourceContextHolder 数据源切换处理
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class DynamicDataSourceContextHolder {
public static final Logger log = LoggerFactory.getLogger(DynamicDataSourceContextHolder.class);
private static final ThreadLocal<String> CONTEXT_HOLDER = new ThreadLocal<>();
public static void setDataSourceType(String dsType) {
log.info("切换到{}数据源", dsType);
CONTEXT_HOLDER.set(dsType);
}
public static String getDataSourceType() {
return CONTEXT_HOLDER.get();
}
public static void clearDataSourceType() {
CONTEXT_HOLDER.remove();
}
}
8、DataSource 自定义多数据源切换注解
import java.lang.annotation.*;
@Target({ElementType.METHOD, ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Inherited
public @interface DataSource {
public DataSourceType value() default DataSourceType.MASTER;
}
9、DataSourceAspect 多数据源处理
package sanss.ywyx.config.druid;
import java.util.Objects;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.core.annotation.AnnotationUtils;
import org.springframework.core.annotation.Order;
import org.springframework.stereotype.Component;
import sanss.ywyx.utils.StringUtils;
@Aspect
@Order(1)
@Component
public class DataSourceAspect
{
protected Logger logger = LoggerFactory.getLogger(getClass());
@Pointcut("@annotation(sanss.ywyx.config.druid.DataSource)"
+ "|| @within(sanss.ywyx.config.druid.DataSource)")
public void dsPointCut()
{
}
@Around("dsPointCut()")
public Object around(ProceedingJoinPoint point) throws Throwable
{
DataSource dataSource = getDataSource(point);
if (StringUtils.isNotNull(dataSource))
{
DynamicDataSourceContextHolder.setDataSourceType(dataSource.value().name());
}
try
{
return point.proceed();
}
finally
{
// 销毁数据源 在执行方法之后
DynamicDataSourceContextHolder.clearDataSourceType();
}
}
public DataSource getDataSource(ProceedingJoinPoint point)
{
MethodSignature signature = (MethodSignature) point.getSignature();
DataSource dataSource = AnnotationUtils.findAnnotation(signature.getMethod(), DataSource.class);
if (Objects.nonNull(dataSource))
{
return dataSource;
}
return AnnotationUtils.findAnnotation(signature.getDeclaringType(), DataSource.class);
}
}
10、yml配置
datasource:
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: org.postgresql.Driver
druid:
# 主库数据源
master:
url:
username:
password:
# 从库数据源
slave:
# 从数据源开关/默认关闭
enabled: true
url:
username:
password:
# 初始连接数
initialSize: 5
# 最小连接池数量
minIdle: 10
# 最大连接池数量
maxActive: 20
# 配置获取连接等待超时的时间
maxWait: 60000
# 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒
timeBetweenEvictionRunsMillis: 60000
# 配置一个连接在池中最小生存的时间,单位是毫秒
minEvictableIdleTimeMillis: 300000
# 配置一个连接在池中最大生存的时间,单位是毫秒
maxEvictableIdleTimeMillis: 900000
# 配置检测连接是否有效
validationQuery: select version()
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
webStatFilter:
enabled: true
statViewServlet:
enabled: true
# 设置白名单,不填则允许所有访问
allow:
url-pattern: /druid/*
# 控制台管理用户名和密码
login-username: admin
login-password: 123456
filter:
stat:
enabled: true
# 慢SQL记录
log-slow-sql: true
slow-sql-millis: 1000
merge-sql: true
wall:
config:
multi-statement-allow: true
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