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@ -17,13 +17,13 @@ import javax.annotation.Resource;
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import java.util.ArrayList;
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import java.util.Date;
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import java.util.List;
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import java.util.concurrent.*;
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/**
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*
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* 背景
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* 现在的数据层的开发，大多会使用如MyBatis或JPA之类的开发工具。这些开发工具给我们的开发过程中带来了极大的便利。
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* 但是在一些极端的场景下往往原生的jdbc方式操作数据库更灵活，性能更高。由于部分场景下MyBatis或JPA之类无法满足我的需求，所以我打算自己封装一套查数据库的工具类。
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*
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* <p>
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* 我们会用到fastjson,druid,mysql所以pom.xml增加依赖如下：
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*
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* <dependency>
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@ -41,7 +41,6 @@ import java.util.List;
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* <groupId>mysql</groupId>
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* <artifactId>mysql-connector-java</artifactId>
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* </dependency>
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*
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*/
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/**
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@ -66,6 +65,7 @@ public class JdbcDemoController {
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public static DataSource ds = new DataSource();
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static {
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//配置数据源
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ds.setId("1");
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@ -88,31 +88,30 @@ public class JdbcDemoController {
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* @return
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*/
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@RequestMapping("/api/list")
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public ResponseDto queryList()
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{
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String sql = "select * from temperature where id = ?";
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public ResponseDto queryList() {
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CompletableFuture<String> future = CompletableFuture.supplyAsync(() -> {
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String sql = "select * from temperature where id = ?";
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List<Object> jdbcParamValues = new ArrayList<>();
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for(int i=0;i<2362254;i++){
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for (int i = 0; i < 2362254; i++) {
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// try {
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// Thread.sleep(5);
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// } catch (InterruptedException e) {
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// e.printStackTrace();
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// }
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jdbcParamValues.add(i+1);
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jdbcParamValues.add(i + 1);
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Gson gson = new Gson();
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ResponseDto responseDto = JdbcUtil.executeSql(ds,sql,jdbcParamValues);
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ResponseDto responseDto = JdbcUtil.executeSql(ds, sql, jdbcParamValues);
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String dbQueryResult = gson.toJson(responseDto);
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log.info(dbQueryResult);
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jdbcParamValues.clear();
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ResponseTemperatureDto responseTemperatureDto=gson.fromJson(dbQueryResult,ResponseTemperatureDto.class);
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if(responseTemperatureDto.isSuccess()&&responseTemperatureDto.getData()!=null&&responseTemperatureDto.getData().size()>0){
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ResponseTemperatureDto responseTemperatureDto = gson.fromJson(dbQueryResult, ResponseTemperatureDto.class);
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if (responseTemperatureDto.isSuccess() && responseTemperatureDto.getData() != null && responseTemperatureDto.getData().size() > 0) {
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log.info(gson.toJson(responseTemperatureDto.getData().get(0)));
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TemperatureDto dto = responseTemperatureDto.getData().get(0);
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Temperature temperature = new Temperature();
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temperature.setCreateDate(dto.getCreateDate());
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temperature.setDataDate(dto.getDataDate());
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@ -122,11 +121,57 @@ public class JdbcDemoController {
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temperature.setHumidity(String.valueOf(dto.getHumidity()));
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temperature.setTemperature(String.valueOf(dto.getTemperature()));
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temperature.setLocationDesc(dto.getLocationDesc());
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temperatureService.saveTemperature(temperature);
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}
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}
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return null;
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return "数据库同步成功";
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});
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future.thenApply(result -> {
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System.out.println("Result: " + result);
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return result;
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});
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return ResponseDto.successWithMsg("数据库正在同步...");
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}
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public void completableFutureExample() {
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CompletableFuture<Integer> future = CompletableFuture.supplyAsync(() -> {
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// 模拟耗时操作
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try {
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Thread.sleep(1000);
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} catch (InterruptedException e) {
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Thread.currentThread().interrupt(); // 重置中断状态
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}
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return 123;
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});
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// 非阻塞等待结果，但不返回结果，如果要处理结果，可以使用thenApply等
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future.thenAccept(result -> System.out.println("Result: " + result)).join();
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}
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/**
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* 查询测试
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* @return
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*/
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@RequestMapping("/api/getResult")
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public String getResult() {
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CompletableFuture<String> future = CompletableFuture.supplyAsync(() -> {
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// 模拟耗时操作
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try {
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Thread.sleep(1000);
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System.out.println("异步处理完成");
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} catch (InterruptedException e) {
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Thread.currentThread().interrupt(); // 重置中断状态
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}
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return "数据库同步成功";
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});
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//注意，如果需要异步返回结果，再做后续操作，需要加入join()方法等待异步计算结果后回调,不然异步没有处理完直接主线程结束
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future.thenApply(result -> {
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System.out.println("Result: " + result);
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return result;
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}).join();
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System.out.println("数据库正在同步...");
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return "数据库正在同步...";
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}
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}
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