diff --git a/etl-modules/etl-modules-data-source/etl-modules-data-source-clinet/src/main/java/com/etl/data/source/clinet/config/DataSourceClientRunner.java b/etl-modules/etl-modules-data-source/etl-modules-data-source-clinet/src/main/java/com/etl/data/source/clinet/config/DataSourceClientRunner.java
index f0eee53..f601fcc 100644
--- a/etl-modules/etl-modules-data-source/etl-modules-data-source-clinet/src/main/java/com/etl/data/source/clinet/config/DataSourceClientRunner.java
+++ b/etl-modules/etl-modules-data-source/etl-modules-data-source-clinet/src/main/java/com/etl/data/source/clinet/config/DataSourceClientRunner.java
@@ -36,23 +36,23 @@ public class DataSourceClientRunner implements ApplicationRunner {
     private DataTypeRemoteService dataTypeRemoteService;
 
     @Override
-    public void run(ApplicationArguments args){
+    public void run(ApplicationArguments args) {
         try {
             Result<List<DataSource>> dataSourceResultList = dataSourceRemoteService.dataSourceList();
-            if (dataSourceResultList.getData() == null || dataSourceResultList.getData().isEmpty()){
+            if (dataSourceResultList.getData() == null || dataSourceResultList.getData().isEmpty()) {
                 log.error("数据源列表为空");
                 return;
             }
             List<DataSource> dataSourceList = dataSourceResultList.getData();
-            log.info("数据源列表查询成功当前数据为{}" ,dataSourceList);
+            log.info("数据源列表查询成功当前数据为{}", dataSourceList);
             // 获取数据源类型列表
             Result<List<DataType>> dataTypeResultList = dataTypeRemoteService.list();
-            if (dataTypeResultList.getData() == null || dataTypeResultList.getData().isEmpty()){
+            if (dataTypeResultList.getData() == null || dataTypeResultList.getData().isEmpty()) {
                 log.error("数据源类型列表为空");
                 return;
             }
             List<DataType> dataTypeList = dataTypeResultList.getData();
-            log.info("数据源类型列表查询成功当前数据为{}" ,dataTypeList);
+            log.info("数据源类型列表查询成功当前数据为{}", dataTypeList);
             // 将数据源类型转换为Map ## Function.identity() 这个方法是返回一个自己
             Map<Long, DataType> dataTypeMap = dataTypeList.stream()
                     .collect(
@@ -63,21 +63,21 @@ public class DataSourceClientRunner implements ApplicationRunner {
             // 创建数据源Map
             HashMap<String, javax.sql.DataSource> stringDataSourceHashMap = new HashMap<>();
             // 遍历数据源列表
-            for (DataSource datum : dataSourceList){
+            for (DataSource datum : dataSourceList) {
                 // 过滤相应的数据源类型
                 Optional<DataType> dataType = Optional.ofNullable(dataTypeMap.get(datum.getTypeId()));
-                if (dataType.isPresent()){
+                if (dataType.isPresent()) {
                     javax.sql.DataSource dataSource = DataSourceConfig.dataSource(datum, dataType.get());
-                    stringDataSourceHashMap.put(datum.getDataSourceIp()+"-"+datum.getDataSourceDatabaseName(),dataSource);
-                }else {
+                    stringDataSourceHashMap.put(datum.getDataSourceIp() + "-" + datum.getDataSourceDatabaseName(), dataSource);
+                } else {
                     log.error("未找到数据源 ID 为 {} 的数据类型", datum.getTypeId());
                 }
                 Singleton instance = Singleton.getInstance(stringDataSourceHashMap);
                 Map<String, javax.sql.DataSource> map = instance.getMap();
-                log.info("数据源连接池初始化成功{}",map);
+                log.info("数据源连接池初始化成功{}", map);
             }
         } catch (Exception e) {
-            log.error("初始化数据源连接池失败{}",e.getMessage());
+            log.error("初始化数据源连接池失败{}", e.getMessage());
             throw new RuntimeException(e);
         }