1:为日志查询类代码各个方法添加注释
2:修改orderby的内容 3:修改applicationLog-hive.properties中MmSampleVideoLog多写了个Log导致无法读取表名的问题 4:添加是否开启日志查询count和last功能
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@@ -5,10 +5,8 @@ import java.lang.reflect.Method;
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import java.sql.Connection;
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import java.sql.ResultSet;
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import java.sql.Statement;
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import java.text.ParseException;
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import java.text.SimpleDateFormat;
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import java.util.ArrayList;
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import java.util.Date;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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@@ -16,8 +14,6 @@ import java.util.Map;
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import org.apache.ibatis.mapping.ResultMap;
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import org.apache.ibatis.mapping.ResultMapping;
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import org.apache.ibatis.session.SqlSessionFactory;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.stereotype.Service;
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import com.alibaba.druid.pool.DruidDataSource;
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@@ -27,16 +23,22 @@ import com.nis.util.Constants;
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import com.nis.util.LogJDBCByDruid;
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import com.zdjizhi.utils.StringUtil;
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/**
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* 从clickhouse或者hive中查询数据并set到page.list返回给界面
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*
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* @author rkg
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*
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*/
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@Service
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public class LogDataService {
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private final static Logger logger = LoggerFactory.getLogger(LogDataService.class);
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// private final static Logger logger =
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// LoggerFactory.getLogger(LogDataService.class);
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static DruidDataSource datasource = null;
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Connection conn = null;
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ResultSet rs = null;
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Statement st = null;
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private static SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
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private static SimpleDateFormat sdf2 = new SimpleDateFormat("yyyyMMdd");
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private static Map<String, Map<String, String>> col2col = new HashMap<String, Map<String, String>>();
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static {
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Map<String, String> startMap = new HashMap<String, String>();
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@@ -47,6 +49,13 @@ public class LogDataService {
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col2col.put("searchFoundEndTime", endMap);
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}
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/**
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* 根据类名加对应的标识获取hive或者clickhouse中对应的表名
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*
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* @param key
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* @param defaultTableName
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* @return
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*/
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private String getTableName(String key, String defaultTableName) {
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if (Constants.ISUSECLICKHOUSE) {
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key = key.replace("HiveTable", "ClickHouseTable");
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@@ -54,28 +63,51 @@ public class LogDataService {
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return Configurations.getStringProperty(key, defaultTableName);
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}
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/**
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* 根据page及obj对象中的属性值,利用反射拼接对应的查询sql(支持分页,排序) 和计算总量的sql并去对应的数据库中查询,
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* 并将结果set到page对象中,返回给界面展示
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*
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* @param page
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* @param obj
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* @throws Exception
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*/
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public <T> void getData(Page<T> page, Object obj) throws Exception {
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String className = obj.getClass().getSimpleName();
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String tableName = getTableName(className + "HiveTable", "");
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if (tableName == null || tableName.trim().equals("")) {
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throw new RuntimeException("日志类" + className + "对应的表名为空,请检查配置文件");
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}
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String orderBy = "";
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String orderBy = " order by ";
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if (null != page.getOrderBy() && !page.getOrderBy().equals("")) {
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orderBy = Page.getOrderBySql(className, page.getOrderBy());
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orderBy = orderBy + Page.getOrderBySql(className, page.getOrderBy());
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} else {
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orderBy = " found_Time desc";
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orderBy = orderBy + "found_Time desc ";
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}
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if (Constants.ISUSECLICKHOUSE) {
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getDataFromClickHouse(page, obj, tableName, className, orderBy);
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getDataFromClickHouse(page, obj, tableName, className, orderBy.toLowerCase());
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} else {
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getDataFromHive(page, obj, tableName, className, orderBy);
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getDataFromHive(page, obj, tableName, className, orderBy.toLowerCase());
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}
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}
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public <T> void getDataFromClickHouse(Page<T> page, Object bean, String tableName, String className, String orderBy)
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throws Exception {
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/**
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* 从clickhouse中查询数据,注意clickhouse区分大小写,目前和百分点商定都是用小写
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*
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* @param page
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* 里面含有pagesize和pageno,order by
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* @param bean
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* 日志类对象(从DfLogSearchDao.xml中获取对应的map,类名+Map),用来获取各个属性对应的数据库字段名
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* @param tableName
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* 表名
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* @param className
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* 类名
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* @param orderBy
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* orderby条件
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* @throws Exception
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*/
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private <T> void getDataFromClickHouse(Page<T> page, Object bean, String tableName, String className,
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String orderBy) throws Exception {
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tableName = tableName.toLowerCase();
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String showColmun = getFiledsSql(className, page.getFields());
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StringBuffer sql = new StringBuffer();
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@@ -162,47 +194,43 @@ public class LogDataService {
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if (whereFoundTime.length() > 0) {
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int indexOf = whereFoundTime.indexOf("and") + "and".length();
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countSql.append(whereFoundTime.substring(indexOf));
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foundTimeSql.append(whereFoundTime.substring(indexOf));
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if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
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foundTimeSql.append(" order by " + orderBy.toLowerCase());
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} else {
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foundTimeSql.append(" order by " + orderBy.toLowerCase() + " desc");
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}
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foundTimeSql.append(" limit " + startNum + "," + page.getPageSize());
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foundTimeSql.append(whereFoundTime.substring(indexOf) + orderBy.toLowerCase() + " limit " + startNum
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+ "," + page.getPageSize());
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sql.append(" found_time in(" + foundTimeSql + ") ");
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}else {
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throw new RuntimeException("从clickhouse的"+tableName+"表查询时,必须要有一个where条件");
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} else {
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throw new RuntimeException("从clickhouse的" + tableName + "表查询时,必须要有一个where条件");
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}
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} else {
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int foundIndexOf = whereFoundTime.append(whereSB).indexOf("and") + "and".length();
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countSql.append(whereFoundTime.substring(foundIndexOf));
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foundTimeSql.append(whereFoundTime.substring(foundIndexOf));
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if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
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foundTimeSql.append(" order by " + orderBy.toLowerCase());
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} else {
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foundTimeSql.append(" order by " + orderBy.toLowerCase() + " desc");
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}
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foundTimeSql.append(" limit " + startNum + "," + page.getPageSize());
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foundTimeSql.append(whereFoundTime.substring(foundIndexOf) + orderBy.toLowerCase() + " limit " + startNum
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+ "," + page.getPageSize());
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int indexOf = whereSB.indexOf("and") + "and".length();
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sql.append(whereSB.substring(indexOf) + " and found_time in(" + foundTimeSql + ") ");
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}
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if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
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sql.append(" order by " + orderBy.toLowerCase());
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} else {
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sql.append(" order by " + orderBy.toLowerCase() + " desc");
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}
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sql.append(" limit " + startNum + "," + page.getPageSize());// clickhouse的分页与mysql相同
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sql.append(orderBy.toLowerCase() + " limit " + startNum + "," + page.getPageSize());// clickhouse的分页与mysql相同
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searchFromDataCenter(page, bean, sql, countSql);
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}
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public <T> void getDataFromHive(Page<T> page, Object bean, String tableName, String className, String orderBy)
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/**
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* 从hive中查询数据
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*
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* @param page
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* 里面含有pagesize和pageno,order by
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* @param bean
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* 日志类对象(从DfLogSearchDao.xml中获取对应的map,类名+Map),用来获取各个属性对应的数据库字段名
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* @param tableName
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* 表名
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* @param className
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* 类名
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* @param orderBy
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* orderby条件
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* @throws Exception
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*/
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private <T> void getDataFromHive(Page<T> page, Object bean, String tableName, String className, String orderBy)
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throws Exception {
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tableName = tableName.toLowerCase();
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String showColmun = getFiledsSql(className, page.getFields());
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@@ -221,11 +249,6 @@ public class LogDataService {
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if (sqlTrim.endsWith(",")) {
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sqlTrim = sqlTrim.substring(0, sqlTrim.length() - 1);
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}
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if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
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orderBy = " order by " + orderBy;
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} else {
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orderBy = " order by " + orderBy + " desc ";
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}
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sql.setLength(0);
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sql.append(" select " + sqlTrim.toLowerCase() + " from (select " + sqlTrim.toLowerCase()
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+ ",row_number() over(partition by found_time_partition " + orderBy + ") as row_num from "
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@@ -331,18 +354,35 @@ public class LogDataService {
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searchFromDataCenter(page, bean, sql, countSql);
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}
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/**
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* 执行sql
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*
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* @param page
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* @param bean
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* @param selSql
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* @param countSql
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* @throws Exception
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*/
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private <T> void searchFromDataCenter(Page<T> page, Object bean, StringBuffer selSql, StringBuffer countSql)
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throws Exception {
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new LogJDBCByDruid().getTableData(page, selSql.toString(), bean.getClass());
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if (page.getList() != null && page.getList().size() > 0) {
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new LogJDBCByDruid().getCount(page, countSql.toString());
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new LogJDBCByDruid().getTableData(page, selSql.toString().toLowerCase(), bean.getClass());
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if (Constants.ISOPENLOGCOUNTANDLAST) {
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if (page.getList() != null && page.getList().size() > 0) {
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new LogJDBCByDruid().getCount(page, countSql.toString().toLowerCase());
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}
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}
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}
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private static Map<String, String> getFiledsType(Object o) {
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Field[] fields = o.getClass().getSuperclass().getDeclaredFields();
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Field[] superfields = o.getClass().getDeclaredFields();
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/**
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* 利用反射获取class中各个属性的数据类型,key是属性名称,value是数据类型
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*
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* @param obj
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* @return
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*/
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private static Map<String, String> getFiledsType(Object obj) {
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Field[] fields = obj.getClass().getSuperclass().getDeclaredFields();
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Field[] superfields = obj.getClass().getDeclaredFields();
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Map<String, String> infoMap = new HashMap<String, String>();
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for (int i = 0; i < fields.length; i++) {
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infoMap.put(fields[i].getName(), fields[i].getType().toString().replace("class", ""));
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@@ -353,16 +393,23 @@ public class LogDataService {
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return infoMap;
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}
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public static String getFiledsSql(String mapName, String fileds) throws Exception {
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String[] fieldsColoumn = null;
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// 所有字段名
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List<String> columnList = new ArrayList<String>();
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// 所有属性名
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List<String> propertyList = new ArrayList<String>();
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// 属性名称为key,字段名称为value
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Map<String, String> columnMap = new HashMap<String, String>();
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/**
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* 将fileds中的字段根据DfLogSearchDao.xml中对应的resultMap转换为数据库中的字段
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*
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* @param mapName
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* @param fileds与界面商定好的是传日志类中的对象名(界面没有表结构不知道对象属性对应的数据库字段名称是什么),不是数据库中的字段名
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* @return
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* @throws Exception
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*/
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private static String getFiledsSql(String mapName, String fileds) throws Exception {
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if (!StringUtil.isBlank(fileds)) {
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String[] fieldsColoumn = null;
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// 所有字段名
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List<String> columnList = new ArrayList<String>();
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// 所有属性名
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List<String> propertyList = new ArrayList<String>();
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// 属性名称为key,字段名称为value
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Map<String, String> columnMap = new HashMap<String, String>();
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// 解析Fileds的字段/属性名称
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fieldsColoumn = fileds.split(",");
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@@ -399,7 +446,13 @@ public class LogDataService {
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return fileds;
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}
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public static Map<String, String> getFiledAndColumnMap(Class<?> clazz) {
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/**
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* 根据class从DfLogSearchDao.xml中获取对应的resultMap里column与property的关系,key是property
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*
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* @param clazz
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* @return
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*/
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private static Map<String, String> getFiledAndColumnMap(Class<?> clazz) {
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Map<String, String> map = new HashMap<String, String>();
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SqlSessionFactory sqlSessionFactory = SpringContextHolder.getBean(SqlSessionFactory.class);
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ResultMap resultMap = sqlSessionFactory.getConfiguration().getResultMap(clazz.getSimpleName() + "Map");
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@@ -436,7 +489,7 @@ public class LogDataService {
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}
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/**
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* 利用发射调用bean.set方法将value设置到字段
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* 利用反射调用bean.set方法将value设置到字段
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*
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* @param bean
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* @param fieldName
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@@ -456,63 +509,4 @@ public class LogDataService {
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method.invoke(bean, value);
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}
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/**
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* 比较开始时间或者结束时间是否比当前系统时间早48小时
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*
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* @param startTime
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* 开始时间
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* @param endTime
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* 结束时间
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* @return
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* @throws ParseException
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*/
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public static boolean ifTimeGreaterThan48(String startTime, String endTime) throws Exception {
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logger.info("ifTimeGreaterThan48方法开始" + System.currentTimeMillis());
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if (null != startTime && !startTime.equals("") && null != endTime && !endTime.equals("")) {// 开始和结束时间都不为空
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Date startDate = sdf.parse(startTime);
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Date endDate = sdf.parse(endTime);
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if (startDate.getTime() < endDate.getTime()) {// 开始时间比结束时间早
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logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
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return gt48(endTime);
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} else {// 开始时间比结束时间晚,不符合一般情况
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logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
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return false;
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}
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} else if (null != endTime && !endTime.equals("")) {// 开始时间为空,结束时间不为空
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logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
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return gt48(endTime);
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} else if (null != startTime && !startTime.equals("")) {// 结束时间为空,开始时间不为空
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logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
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return gt48(startTime);
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} else {// 开始和结束时间都为空
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logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
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return false;
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}
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}
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public static boolean gt48(String eqTime) throws ParseException {
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logger.info("gt48方法开始" + System.currentTimeMillis());
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Date eqDate = sdf.parse(eqTime);
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Long dateNum = eqDate.getTime();
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Long currentDate = new Date().getTime();
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Long time = 0l;
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if (dateNum < currentDate) {
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time = currentDate - dateNum;// 获取结束时间与当前系统时间的时间差毫秒数
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} else {
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logger.info("gt48方法结束" + System.currentTimeMillis());
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return false;// 结束时间比当前系统时间晚,不符合从数据中心查询数据要求(当前日期48小时前数据从数据中心查询)
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}
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double hours = time.doubleValue() / (1000 * 60 * 60);
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Long datacenterTime = Constants.DATACENTER_TIME;
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double doubleValue = datacenterTime.doubleValue();
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if (hours > doubleValue) {
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logger.info("gt48方法结束" + System.currentTimeMillis());
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return true;// 符合要求
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} else {
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logger.info("gt48方法结束" + System.currentTimeMillis());
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return false;
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}
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}
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}
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