CSGO赛事管理系统是针对CSGO赛事管理方面必不可少的一个部分。在CSGO赛事管理的整个过程中，CSGO赛事管理系统担负着最重要的角色。为满足如今日益复杂的管理需求，各类的管理系统也在不断改进。本课题所设计的CSGO赛事管理系统，使用java进行开发，它的优点代码不能从浏览器查看，保密性非常好，比其他的系统更具安全性。java还容易修改和调试，毕竟社会是在不断发展过程中难免有更多需求，这点很重要。而且，本系统除了有对CSGO赛事的管理，还添加了对用户的资料管理，这也是为了满足系统更深层次的需求。除了上述优势外，本系统还具有：查询迅速，搜索资料方便，可靠性强等等。
关键词：CSGO赛事管理；java；可靠性。
基于SpringBoot的CSGO赛事管理系统源码和论文391
演示视频：
基于SpringBoot的CSGO赛事管理系统源码和论文
Absract
CSGO event management system is an essential part of CSGO event management. In the whole process of CSGO event management, CSGO event management system plays the most important role. In order to meet today's increasingly complex management needs, various management platforms are constantly improving. The CSGO event management system designed in this topic is developed using Java. Its advantages can not be viewed from the browser, and it has very good confidentiality and is more secure than other platforms. Java is also easy to modify and debug, which is important because society needs more and more as it evolves. In addition, the system not only manages CSGO events, but also adds user information management, which is also to meet the deeper needs of the system. In addition to the advantages mentioned above, the system also has: quick query, easy to search information, strong reliability and so on.
Key words: CSGO event management; Java; Reliability.
1.绪论
1.1开发背景
传统的管理方式都在使用手工记录的方式进行记录，这种方式耗时，而且对于信息量比较大的情况想要快速查找某一信息非常慢，对于CSGO赛事的统计获取比较繁琐，随着网络技术的发展，采用电脑管理相关数据信息管理与数据查询等诸多环节已成为必然趋势；数据情况的透明化，提高了信息管理的透明度，提高管理效率。
传统的CSGO赛事管理系统需要对各类信息及时的进行记录、规整、更新、收藏，这是对数据信息统计管理的极大消耗，在其进行过程中，还会出现因信息的重复传递，出现本可以避免的出错问题，例如：前后CSGO赛事信息不一致、种类纰漏以及备注不详细等等一系列问题。在信息告诉更替的时代，信息的准确性，经济可行性也无疑是众人关注的焦点。那么我们系统的目的性也就很明确。
如今，随着社会的不断发展，计算机技术已经逐渐成熟和完善，并且已经融入到人们生活的方方面面之中，系统的各项管理都开始向信息化的方向扩展。计算机拥有查询迅速、储存量大、安全性好、可靠性高、节约人力，花费少等长处。这些长处使其能够对管理效率给予极大的提高。所以，用计算机来代替传统的人工方式来进行CSGO赛事管理已是大势所趋，CSGO赛事管理系统应运而生。
在世界范围内，CSGO赛事管理系统已经得到了非常广泛的应用，范围变的越来越广，功能也在不断的完善，操作简便、节省人力、成本低廉，但工作的效率确一直不断的提高。为CSGO赛事行业管理全程提供自动化和全面的纪录，避免出错的概率，提高用户的满意程度。
CSGO赛事管理系统的作用就是提供一个在线CSGO赛事管理的信息储存以及搜索的系统，用来协助对CSGO赛事信息进行统一管理。一个完善的CSGO赛事管理系统，可以对CSGO赛事进行精细化的管理。
1.2课题研究的目的和意义
人们现在的生活方式因为网络的普及发生了巨大变化，由于网络管理在人们的视野中出现，人们对网络管理额外的关注。人们只要在有网络的地方足不出户查看到世界各地的各类。目前的挑战是前台界面的设计，要把顾客的眼球吸引住，选则比较人性化的界面设计，要更直观的表现，让用户能更多的了解在CSGO赛事管理系统的信息。
本系统的主要意义在于，全力以赴为用户提供一个操作方便，界面简洁，信息直观的CSGO赛事管理系统。使用该系统的用户，可以先浏览到最新上架的CSGO赛事信息，并可以注册成为本网站的用户。
1.3课题设计目标
针对CSGO赛事行业的管理现状，本CSGO赛事管理系统主要实现以下几个目标：
1.系统界面简洁，操作简便。
2.拥有精准，高效的查询功能。
3.能使管理人员能够及时的获得精确的报表
4.对数据内容的管理安全，稳定，易维护
5.对信息全面跟踪，方便管理人员进行管理。
6.提供客户登录和修改密码等服务，加强系统安全。
7.提供用户管理和数据备份，确保信息的安全性和可靠性。
package com.controller;import java.io.*;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.text.SimpleDateFormat;
import java.util.*;import javax.servlet.http.HttpServletRequest;import com.alibaba.fastjson.JSON;
import com.utils.StringUtil;
import org.apache.commons.lang3.StringUtils;
import org.json.JSONObject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.util.ResourceUtils;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;import com.annotation.IgnoreAuth;
import com.baidu.aip.face.AipFace;
import com.baidu.aip.face.MatchRequest;
import com.baidu.aip.util.Base64Util;
import com.baomidou.mybatisplus.mapper.EntityWrapper;
import com.baomidou.mybatisplus.mapper.Wrapper;
import com.entity.ConfigEntity;
import com.service.CommonService;
import com.service.ConfigService;
import com.utils.BaiduUtil;
import com.utils.FileUtil;
import com.utils.R;/*** 通用接口*/
@RestController
public class CommonController {private static final Logger logger = LoggerFactory.getLogger(CommonController.class);@Autowiredprivate CommonService commonService;/*** Java代码实现MySQL数据库导出** @param mysqlUrl MySQL安装路径* @param hostIP MySQL数据库所在服务器地址IP* @param userName 进入数据库所需要的用户名* @param hostPort 数据库端口* @param password 进入数据库所需要的密码* @param savePath 数据库文件保存路径* @param fileName 数据库导出文件文件名* @param databaseName 要导出的数据库名* @return 返回true表示导出成功，否则返回false。*/@IgnoreAuth@RequestMapping("/beifen")public R beifen(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {File saveFile = new File(savePath);if (!saveFile.exists()) {// 如果目录不存在 saveFile.mkdirs();// 创建文件夹 }if (!savePath.endsWith(File.separator)) {savePath = savePath + File.separator;}PrintWriter printWriter = null;BufferedReader bufferedReader = null;try {Runtime runtime = Runtime.getRuntime();String cmd = mysqlUrl + "mysqldump -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName;runtime.exec(cmd);Process process = runtime.exec(cmd);InputStreamReader inputStreamReader = new InputStreamReader(process.getInputStream(), "utf8");bufferedReader = new BufferedReader(inputStreamReader);printWriter = new PrintWriter(new OutputStreamWriter(new FileOutputStream(savePath + fileName), "utf8"));String line;while ((line = bufferedReader.readLine()) != null) {printWriter.println(line);}printWriter.flush();} catch (Exception e) {e.printStackTrace();return R.error("备份数据出错");} finally {try {if (bufferedReader != null) {bufferedReader.close();}if (printWriter != null) {printWriter.close();}} catch (Exception e) {e.printStackTrace();}}return R.ok();}/*** Java实现MySQL数据库导入** @param mysqlUrl MySQL安装路径* @param hostIP MySQL数据库所在服务器地址IP* @param userName 进入数据库所需要的用户名* @param hostPort 数据库端口* @param password 进入数据库所需要的密码* @param savePath 数据库文件保存路径* @param fileName 数据库导出文件文件名* @param databaseName 要导出的数据库名*/@IgnoreAuth@RequestMapping("/huanyuan")public R huanyuan(String mysqlUrl, String hostIP, String userName, String hostPort, String password, String savePath, String fileName, String databaseName) {try {Runtime rt = Runtime.getRuntime();Process child1 = rt.exec(mysqlUrl+"mysql.exe -h" + hostIP + " -u" + userName + " -P" + hostPort + " -p" + password + " " + databaseName);OutputStream out = child1.getOutputStream();//控制台的输入信息作为输出流String inStr;StringBuffer sb = new StringBuffer("");String outStr;BufferedReader br = new BufferedReader(new InputStreamReader(new FileInputStream(savePath+"/"+fileName), "utf-8"));while ((inStr = br.readLine()) != null) {sb.append(inStr + "\r\n");}outStr = sb.toString();OutputStreamWriter writer = new OutputStreamWriter(out, "utf8");writer.write(outStr);
// 注：这里如果用缓冲方式写入文件的话，会导致中文乱码，用flush()方法则可以避免writer.flush();out.close();br.close();writer.close();} catch (Exception e) {e.printStackTrace();return R.error("数据导入出错");}return R.ok();}/*** 饼状图求和* @return*/@RequestMapping("/pieSum")public R pieSum(@RequestParam Map<String,Object> params) {logger.debug("饼状图求和:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.pieSum(params);return R.ok().put("data", result);}/*** 饼状图统计* @return*/@RequestMapping("/pieCount")public R pieCount(@RequestParam Map<String,Object> params) {logger.debug("饼状图统计:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.pieCount(params);return R.ok().put("data", result);}/*** 柱状图求和单列* @return*/@RequestMapping("/barSumOne")public R barSumOne(@RequestParam Map<String,Object> params) {logger.debug("柱状图求和单列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barSumOne(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get("name"));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计单列* @return*/@RequestMapping("/barCountOne")public R barCountOne(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计单列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barCountOne(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get("name"));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计双列* @return*/@RequestMapping("/barSumTwo")public R barSumTwo(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barSumTwo(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();for(Map<String, Object> map :result){String name1Value = String.valueOf(map.get("name1"));String name2Value = String.valueOf(map.get("name2"));String value = String.valueOf(map.get("value"));if(!legend.contains(name2Value)){legend.add(name2Value);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(name1Value)){dataMap.get(name1Value).put(name2Value,value);}else{HashMap<String, String> name1Data = new HashMap<>();name1Data.put(name2Value,value);dataMap.put(name1Value,name1Data);}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计双列* @return*/@RequestMapping("/barCountTwo")public R barCountTwo(@RequestParam Map<String,Object> params) {logger.debug("柱状图统计双列:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.barCountTwo(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();for(Map<String, Object> map :result){String name1Value = String.valueOf(map.get("name1"));String name2Value = String.valueOf(map.get("name2"));String value = String.valueOf(map.get("value"));if(!legend.contains(name2Value)){legend.add(name2Value);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(name1Value)){dataMap.get(name1Value).put(name2Value,value);}else{HashMap<String, String> name1Data = new HashMap<>();name1Data.put(name2Value,value);dataMap.put(name1Value,name1Data);}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/**tableName 查询表condition1 条件1condition1Value 条件1值average 计算平均评分取值有值 Number(res.data.value.toFixed(1))无值 if(res.data){}* */@IgnoreAuth@RequestMapping("/queryScore")public R queryScore(@RequestParam Map<String, Object> params) {logger.debug("queryScore:,,Controller:{},,params:{}",this.getClass().getName(),params);Map<String, Object> queryScore = commonService.queryScore(params);return R.ok().put("data", queryScore);}/*** 查询字典表的分组统计总条数* tableName 表名* groupColumn 分组字段* @return*/@RequestMapping("/newSelectGroupCount")public R newSelectGroupCount(@RequestParam Map<String,Object> params) {logger.debug("newSelectGroupCount:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.newSelectGroupCount(params);return R.ok().put("data", result);}/*** 查询字典表的分组求和* tableName 表名* groupColumn 分组字段* sumCloum 统计字段* @return*/@RequestMapping("/newSelectGroupSum")public R newSelectGroupSum(@RequestParam Map<String,Object> params) {logger.debug("newSelectGroupSum:,,Controller:{},,params:{}",this.getClass().getName(),params);List<Map<String, Object>> result = commonService.newSelectGroupSum(params);return R.ok().put("data", result);}/*** 柱状图求和 老的*/@RequestMapping("/barSum")public R barSum(@RequestParam Map<String,Object> params) {logger.debug("barSum方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));Boolean isJoinTableFlag = false;//是否有级联表相关String one = "";//第一优先String two = "";//第二优先//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组//当前表Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);params.put("thisTable",thisTable);//级联表String joinTableString = String.valueOf(params.get("joinTable"));if(StringUtil.isNotEmpty(joinTableString)) {Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);params.put("joinTable", joinTable);isJoinTableFlag = true;}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));one = "thisDate0";}if(isJoinTableFlag){//级联表日期Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));if(StringUtil.isEmpty(one)){one ="joinDate0";}else{if(StringUtil.isEmpty(two)){two ="joinDate0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="thisString0";}else{if(StringUtil.isEmpty(two)){two ="thisString0";}}}if(isJoinTableFlag){//级联表字符串Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="joinString0";}else{if(StringUtil.isEmpty(two)){two ="joinString0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="thisTypes0";}else{if(StringUtil.isEmpty(two)){two ="thisTypes0";}}}if(isJoinTableFlag){//级联表类型Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="joinTypes0";}else{if(StringUtil.isEmpty(two)){two ="joinTypes0";}}}}List<Map<String, Object>> result = commonService.barSum(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题if(StringUtil.isEmpty(two)){//不包含第二列List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}}else{//包含第二列Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();if(StringUtil.isNotEmpty(two)){for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String twoValue = String.valueOf(map.get(two));String value = String.valueOf(map.get("value"));if(!legend.contains(twoValue)){legend.add(twoValue);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(oneValue)){dataMap.get(oneValue).put(twoValue,value);}else{HashMap<String, String> oneData = new HashMap<>();oneData.put(twoValue,value);dataMap.put(oneValue,oneData);}}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}/*** 柱状图统计 老的*/@RequestMapping("/barCount")public R barCount(@RequestParam Map<String,Object> params) {logger.debug("barCount方法:,,Controller:{},,params:{}",this.getClass().getName(), com.alibaba.fastjson.JSONObject.toJSONString(params));Boolean isJoinTableFlag = false;//是否有级联表相关String one = "";//第一优先String two = "";//第二优先//处理thisTable和joinTable 处理内容是把json字符串转为Map并把带有,的切割为数组//当前表Map<String,Object> thisTable = JSON.parseObject(String.valueOf(params.get("thisTable")),Map.class);params.put("thisTable",thisTable);//级联表String joinTableString = String.valueOf(params.get("joinTable"));if(StringUtil.isNotEmpty(joinTableString)) {Map<String, Object> joinTable = JSON.parseObject(joinTableString, Map.class);params.put("joinTable", joinTable);isJoinTableFlag = true;}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("date")))){//当前表日期thisTable.put("date",String.valueOf(thisTable.get("date")).split(","));one = "thisDate0";}if(isJoinTableFlag){//级联表日期Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("date")))){joinTable.put("date",String.valueOf(joinTable.get("date")).split(","));if(StringUtil.isEmpty(one)){one ="joinDate0";}else{if(StringUtil.isEmpty(two)){two ="joinDate0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("string")))){//当前表字符串thisTable.put("string",String.valueOf(thisTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="thisString0";}else{if(StringUtil.isEmpty(two)){two ="thisString0";}}}if(isJoinTableFlag){//级联表字符串Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("string")))){joinTable.put("string",String.valueOf(joinTable.get("string")).split(","));if(StringUtil.isEmpty(one)){one ="joinString0";}else{if(StringUtil.isEmpty(two)){two ="joinString0";}}}}if(StringUtil.isNotEmpty(String.valueOf(thisTable.get("types")))){//当前表类型thisTable.put("types",String.valueOf(thisTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="thisTypes0";}else{if(StringUtil.isEmpty(two)){two ="thisTypes0";}}}if(isJoinTableFlag){//级联表类型Map<String, Object> joinTable = (Map<String, Object>) params.get("joinTable");if(StringUtil.isNotEmpty(String.valueOf(joinTable.get("types")))){joinTable.put("types",String.valueOf(joinTable.get("types")).split(","));if(StringUtil.isEmpty(one)){one ="joinTypes0";}else{if(StringUtil.isEmpty(two)){two ="joinTypes0";}}}}List<Map<String, Object>> result = commonService.barCount(params);List<String> xAxis = new ArrayList<>();//报表x轴List<List<String>> yAxis = new ArrayList<>();//y轴List<String> legend = new ArrayList<>();//标题if(StringUtil.isEmpty(two)){//不包含第二列List<String> yAxis0 = new ArrayList<>();yAxis.add(yAxis0);legend.add("");for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String value = String.valueOf(map.get("value"));xAxis.add(oneValue);yAxis0.add(value);}}else{//包含第二列Map<String, HashMap<String, String>> dataMap = new LinkedHashMap<>();if(StringUtil.isNotEmpty(two)){for(Map<String, Object> map :result){String oneValue = String.valueOf(map.get(one));String twoValue = String.valueOf(map.get(two));String value = String.valueOf(map.get("value"));if(!legend.contains(twoValue)){legend.add(twoValue);//添加完成后 就是最全的第二列的类型}if(dataMap.containsKey(oneValue)){dataMap.get(oneValue).put(twoValue,value);}else{HashMap<String, String> oneData = new HashMap<>();oneData.put(twoValue,value);dataMap.put(oneValue,oneData);}}}for(int i =0; i<legend.size(); i++){yAxis.add(new ArrayList<String>());}Set<String> keys = dataMap.keySet();for(String key:keys){xAxis.add(key);HashMap<String, String> map = dataMap.get(key);for(int i =0; i<legend.size(); i++){List<String> data = yAxis.get(i);if(StringUtil.isNotEmpty(map.get(legend.get(i)))){data.add(map.get(legend.get(i)));}else{data.add("0");}}}System.out.println();}Map<String, Object> resultMap = new HashMap<>();resultMap.put("xAxis",xAxis);resultMap.put("yAxis",yAxis);resultMap.put("legend",legend);return R.ok().put("data", resultMap);}
}
