删除target目录

price_collection/src/main/java/com/liangjiang/price_collection/controller/ApiController.java

@@ -40,8 +40,7 @@ public class ApiController {
     public List<ExchangeCoinPriceArrDto> getPriceRest(@RequestParam("exchange") String exchange, @RequestParam("coin")String coin){
         Integer[] times = QueryService.getDaysAgoTime(System.currentTimeMillis(), 3L);
         try {
-            List<ExchangeCoinPriceArrDto> a =  queryService.performQueries(exchange.split(","), coin, times[1], times[0]);
-            return a;
+            return queryService.performQueries(exchange.split(","), coin, times[1], times[0]);
         } catch (Exception ex){
             log.error("查询出错", ex);
             return new LinkedList<>();

price_collection/src/main/java/com/liangjiang/price_collection/service/impl/QueryService.java

@@ -11,7 +11,6 @@ import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 
 import java.util.*;
-import java.util.concurrent.ExecutionException;
 import java.util.concurrent.ExecutorService;
 import java.util.concurrent.Executors;
 import java.util.concurrent.Future;

price_collection/target/classes/application.yml

@@ -1,73 +0,0 @@
-server:
-  port: 82
-  tomcat:
-    uri-encoding: UTF-8
-logging:
-  config: classpath:log.xml
-spring:
-  application:
-    name: price_collection
-  main:
-    allow-bean-definition-overriding: true
-    allow-circular-references: true
-  # 全局配置响应日期格式和时区为东八区，解决日期类型返回前端少八个小时的问题
-  jackson:
-    time-zone: GMT+8
-  datasource:
-    username: root
-    password: zxc123...
-    url: jdbc:mysql://as.skyfffire.com:3306/one_price_warehouse?characterEncoding=utf-8&useSSL=false&allowPublicKeyRetrieval=true&allowMultiQueries=true
-    driver-class-name: com.mysql.cj.jdbc.Driver
-    type: com.alibaba.druid.pool.DruidDataSource
-    druid:
-      initial-size: 20
-      max-active: 80
-      min-idle: 20
-      max-wait: 60000
-      timeBetweenEvictionRunsMillis: 60000
-      minEvictableIdleTimeMillis: 1800000
-      validationQuery: SELECT 1
-      testWhileIdle: true
-      testOnBorrow: false
-      testOnReturn: false
-      poolPreparedStatements: true
-      # 配置监控统计拦截的filters，去掉后监控界面sql无法统计。‘wall’用于防火墙
-      filters: stat,wall
-      filter:
-        wall:
-          config:
-            none-base-statement-allow: true
-            multi-statement-allow: true
-
-#  redis:
-#    # Redis服务器地址
-#    host: localhost
-#    # Redis数据库索引（默认为0）
-#    database: 0
-#    # Redis服务器连接端口
-#    port: 6379
-#    # Redis服务器连接密码（默认为空）
-#    password: 123456
-#    # 连接超时时间
-#    timeout: 1000ms
-#    lettuce:
-#      pool:
-#        # 连接池最大连接数
-#        max-active: 8
-#        # 连接池最大空闲连接数
-#        max-idle: 8
-#        # 连接池最小空闲连接数
-#        min-idle: 0
-#        # 连接池最大阻塞等待时间，负值表示没有限制
-#        max-wait: -1ms
-mybatis-plus:
-  mapper-locations: classpath*:mapper/**/*Mapper.xml
-  type-aliases-package: com.liangjiang.price_collection.domain
-  global-config:
-    banner: false
-    db-config:
-      id-type: input
-  configuration:
-    # 控制台SQL日志
-    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
-    map-underscore-to-camel-case: false

price_collection/target/classes/log.xml

@@ -1,51 +0,0 @@
-<configuration>
-    <!-- %m输出的信息,%p日志级别,%t线程名,%d日期,%c类的全名,%i索引【从数字0开始递增】,,, -->
-    <!-- appender是configuration的子节点，是负责写日志的组件。 -->
-    <!-- ConsoleAppender：把日志输出到控制台 -->
-    <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
-        <encoder>
-            <pattern>%d %p (%file:%line\)- %m%n</pattern>
-            <!-- 控制台也要使用UTF-8，不要使用GBK，否则会中文乱码 -->
-            <charset>UTF-8</charset>
-        </encoder>
-    </appender>
-    <!-- RollingFileAppender：滚动记录文件，先将日志记录到指定文件，当符合某个条件时，将日志记录到其他文件 -->
-    <!-- 以下的大概意思是：1.先按日期存日志，日期变了，将前一天的日志文件名重命名为XXX%日期%索引，新的日志仍然是sys.log -->
-    <!--             2.如果日期没有发生变化，但是当前日志的文件大小超过1KB时，对当前日志进行分割 重命名-->
-    <appender name="syslog"
-              class="ch.qos.logback.core.rolling.RollingFileAppender">
-        <File>logs/basics/sys.log</File>
-        <!-- rollingPolicy:当发生滚动时，决定 RollingFileAppender 的行为，涉及文件移动和重命名。 -->
-        <!-- TimeBasedRollingPolicy： 最常用的滚动策略，它根据时间来制定滚动策略，既负责滚动也负责出发滚动 -->
-        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
-            <!-- 活动文件的名字会根据fileNamePattern的值，每隔一段时间改变一次 -->
-            <!-- 文件名：log/sys.2022-3-09.0.log -->
-            <fileNamePattern>logs/basics/sys.%d.%i.log</fileNamePattern>
-            <!-- 每产生一个日志文件，该日志文件的保存期限为30天 -->
-            <maxHistory>30</maxHistory>
-            <timeBasedFileNamingAndTriggeringPolicy  class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
-                <!-- maxFileSize:这是活动文件的大小，默认值是10MB -->
-                <maxFileSize>10MB</maxFileSize>
-            </timeBasedFileNamingAndTriggeringPolicy>
-        </rollingPolicy>
-        <encoder>
-            <!-- pattern节点，用来设置日志的输入格式 -->
-            <pattern>
-                %d %p (%file:%line\)- %m%n
-            </pattern>
-            <!-- 记录日志的编码 -->
-            <charset>UTF-8</charset> <!-- 此处设置字符集 -->
-        </encoder>
-    </appender>
-
-    <!-- 控制台输出日志级别 -->
-    <root level="info">
-        <appender-ref ref="STDOUT" />
-    </root>
-    <!-- 指定项目中某个包，当有日志操作行为时的日志记录级别 -->
-    <!-- com.lightyears为根包，也就是只要是发生在这个根包下面的所有日志操作行为的权限都是DEBUG -->
-    <!-- 级别依次为【从高到低】：FATAL > ERROR > WARN > INFO > DEBUG > TRACE  -->
-    <logger name="com.liangjiang.basics" level="DEBUG">
-        <appender-ref ref="syslog" />
-    </logger>
-</configuration>

price_collection/target/classes/mapper/InfoBackupsMapper.xml

@@ -1,4 +0,0 @@
-<?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.liangjiang.price_collection.mapper.BackupsInfoMapper">
-</mapper>

price_collection/target/classes/mapper/TableMapper.xml

@@ -1,35 +0,0 @@
-<?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.liangjiang.price_collection.mapper.TableMapper">
-    <!-- 创建数据表 -->
-    <update id="createTable" parameterType="java.lang.String">
-        CREATE TABLE IF NOT EXISTS ${tableName} (
-         `id` INT UNSIGNED NOT NULL,
-         `bid` VARCHAR(128) NOT NULL,
-         `ask` VARCHAR(128) NOT NULL,
-         PRIMARY KEY (`id`)
-        )
-    </update>
-
-    <!-- 获取所有数据表格 -->
-    <select id="getTableName" resultType="java.lang.String">
-        SELECT
-            table_name
-        FROM
-            information_schema.TABLES
-        WHERE
-            table_type = 'BASE TABLE'
-          AND table_schema = 'one_price_warehouse'
-          and table_name != 'info_backups'
-        ORDER BY
-            table_name
-    </select>
-
-    <insert id="savePrice">
-        INSERT ${tableName} ( id, bid, ask ) VALUE (${id}, ${bid}, ${ask})on duplicate key update bid = ${bid}, ask = ${ask}
-    </insert>
-
-    <select id="getPriceInfo" resultType="com.liangjiang.price_collection.dto.PriceDto">
-        select id as `time`, bid, ask from ${tableName} where id between ${startTime} and ${endTime}
-    </select>
-</mapper>