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
This commit is contained in:
renkaige
2018-11-02 16:21:56 +08:00
parent 88360eb30a
commit bbf34d95c6
5 changed files with 163 additions and 133 deletions

View File

@@ -5,10 +5,8 @@ import java.lang.reflect.Method;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
@@ -16,8 +14,6 @@ import java.util.Map;
import org.apache.ibatis.mapping.ResultMap;
import org.apache.ibatis.mapping.ResultMapping;
import org.apache.ibatis.session.SqlSessionFactory;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Service;
import com.alibaba.druid.pool.DruidDataSource;
@@ -27,16 +23,22 @@ import com.nis.util.Constants;
import com.nis.util.LogJDBCByDruid;
import com.zdjizhi.utils.StringUtil;
/**
* 从clickhouse或者hive中查询数据并set到page.list返回给界面
*
* @author rkg
*
*/
@Service
public class LogDataService {
private final static Logger logger = LoggerFactory.getLogger(LogDataService.class);
// private final static Logger logger =
// LoggerFactory.getLogger(LogDataService.class);
static DruidDataSource datasource = null;
Connection conn = null;
ResultSet rs = null;
Statement st = null;
private static SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
private static SimpleDateFormat sdf2 = new SimpleDateFormat("yyyyMMdd");
private static Map<String, Map<String, String>> col2col = new HashMap<String, Map<String, String>>();
static {
Map<String, String> startMap = new HashMap<String, String>();
@@ -47,6 +49,13 @@ public class LogDataService {
col2col.put("searchFoundEndTime", endMap);
}
/**
* 根据类名加对应的标识获取hive或者clickhouse中对应的表名
*
* @param key
* @param defaultTableName
* @return
*/
private String getTableName(String key, String defaultTableName) {
if (Constants.ISUSECLICKHOUSE) {
key = key.replace("HiveTable", "ClickHouseTable");
@@ -54,28 +63,51 @@ public class LogDataService {
return Configurations.getStringProperty(key, defaultTableName);
}
/**
* 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,
* 并将结果set到page对象中,返回给界面展示
*
* @param page
* @param obj
* @throws Exception
*/
public <T> void getData(Page<T> page, Object obj) throws Exception {
String className = obj.getClass().getSimpleName();
String tableName = getTableName(className + "HiveTable", "");
if (tableName == null || tableName.trim().equals("")) {
throw new RuntimeException("日志类" + className + "对应的表名为空,请检查配置文件");
}
String orderBy = "";
String orderBy = " order by ";
if (null != page.getOrderBy() && !page.getOrderBy().equals("")) {
orderBy = Page.getOrderBySql(className, page.getOrderBy());
orderBy = orderBy + Page.getOrderBySql(className, page.getOrderBy());
} else {
orderBy = " found_Time desc";
orderBy = orderBy + "found_Time desc ";
}
if (Constants.ISUSECLICKHOUSE) {
getDataFromClickHouse(page, obj, tableName, className, orderBy);
getDataFromClickHouse(page, obj, tableName, className, orderBy.toLowerCase());
} else {
getDataFromHive(page, obj, tableName, className, orderBy);
getDataFromHive(page, obj, tableName, className, orderBy.toLowerCase());
}
}
public <T> void getDataFromClickHouse(Page<T> page, Object bean, String tableName, String className, String orderBy)
throws Exception {
/**
* 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
*
* @param page
* 里面含有pagesize和pageno,order by
* @param bean
* 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
* @param tableName
* 表名
* @param className
* 类名
* @param orderBy
* orderby条件
* @throws Exception
*/
private <T> void getDataFromClickHouse(Page<T> page, Object bean, String tableName, String className,
String orderBy) throws Exception {
tableName = tableName.toLowerCase();
String showColmun = getFiledsSql(className, page.getFields());
StringBuffer sql = new StringBuffer();
@@ -162,47 +194,43 @@ public class LogDataService {
if (whereFoundTime.length() > 0) {
int indexOf = whereFoundTime.indexOf("and") + "and".length();
countSql.append(whereFoundTime.substring(indexOf));
foundTimeSql.append(whereFoundTime.substring(indexOf));
if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
foundTimeSql.append(" order by " + orderBy.toLowerCase());
} else {
foundTimeSql.append(" order by " + orderBy.toLowerCase() + " desc");
}
foundTimeSql.append(" limit " + startNum + "," + page.getPageSize());
foundTimeSql.append(whereFoundTime.substring(indexOf) + orderBy.toLowerCase() + " limit " + startNum
+ "," + page.getPageSize());
sql.append(" found_time in(" + foundTimeSql + ") ");
}else {
throw new RuntimeException("从clickhouse的"+tableName+"表查询时,必须要有一个where条件");
} else {
throw new RuntimeException("从clickhouse的" + tableName + "表查询时,必须要有一个where条件");
}
} else {
int foundIndexOf = whereFoundTime.append(whereSB).indexOf("and") + "and".length();
countSql.append(whereFoundTime.substring(foundIndexOf));
foundTimeSql.append(whereFoundTime.substring(foundIndexOf));
if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
foundTimeSql.append(" order by " + orderBy.toLowerCase());
} else {
foundTimeSql.append(" order by " + orderBy.toLowerCase() + " desc");
}
foundTimeSql.append(" limit " + startNum + "," + page.getPageSize());
foundTimeSql.append(whereFoundTime.substring(foundIndexOf) + orderBy.toLowerCase() + " limit " + startNum
+ "," + page.getPageSize());
int indexOf = whereSB.indexOf("and") + "and".length();
sql.append(whereSB.substring(indexOf) + " and found_time in(" + foundTimeSql + ") ");
}
if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
sql.append(" order by " + orderBy.toLowerCase());
} else {
sql.append(" order by " + orderBy.toLowerCase() + " desc");
}
sql.append(" limit " + startNum + "," + page.getPageSize());// clickhouse的分页与mysql相同
sql.append(orderBy.toLowerCase() + " limit " + startNum + "," + page.getPageSize());// clickhouse的分页与mysql相同
searchFromDataCenter(page, bean, sql, countSql);
}
public <T> void getDataFromHive(Page<T> page, Object bean, String tableName, String className, String orderBy)
/**
* 从hive中查询数据
*
* @param page
* 里面含有pagesize和pageno,order by
* @param bean
* 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
* @param tableName
* 表名
* @param className
* 类名
* @param orderBy
* orderby条件
* @throws Exception
*/
private <T> void getDataFromHive(Page<T> page, Object bean, String tableName, String className, String orderBy)
throws Exception {
tableName = tableName.toLowerCase();
String showColmun = getFiledsSql(className, page.getFields());
@@ -221,11 +249,6 @@ public class LogDataService {
if (sqlTrim.endsWith(",")) {
sqlTrim = sqlTrim.substring(0, sqlTrim.length() - 1);
}
if (orderBy.toLowerCase().contains("asc") || orderBy.toLowerCase().contains("desc")) {
orderBy = " order by " + orderBy;
} else {
orderBy = " order by " + orderBy + " desc ";
}
sql.setLength(0);
sql.append(" select " + sqlTrim.toLowerCase() + " from (select " + sqlTrim.toLowerCase()
+ ",row_number() over(partition by found_time_partition " + orderBy + ") as row_num from "
@@ -331,18 +354,35 @@ public class LogDataService {
searchFromDataCenter(page, bean, sql, countSql);
}
/**
* 执行sql
*
* @param page
* @param bean
* @param selSql
* @param countSql
* @throws Exception
*/
private <T> void searchFromDataCenter(Page<T> page, Object bean, StringBuffer selSql, StringBuffer countSql)
throws Exception {
new LogJDBCByDruid().getTableData(page, selSql.toString(), bean.getClass());
if (page.getList() != null && page.getList().size() > 0) {
new LogJDBCByDruid().getCount(page, countSql.toString());
new LogJDBCByDruid().getTableData(page, selSql.toString().toLowerCase(), bean.getClass());
if (Constants.ISOPENLOGCOUNTANDLAST) {
if (page.getList() != null && page.getList().size() > 0) {
new LogJDBCByDruid().getCount(page, countSql.toString().toLowerCase());
}
}
}
private static Map<String, String> getFiledsType(Object o) {
Field[] fields = o.getClass().getSuperclass().getDeclaredFields();
Field[] superfields = o.getClass().getDeclaredFields();
/**
* 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
*
* @param obj
* @return
*/
private static Map<String, String> getFiledsType(Object obj) {
Field[] fields = obj.getClass().getSuperclass().getDeclaredFields();
Field[] superfields = obj.getClass().getDeclaredFields();
Map<String, String> infoMap = new HashMap<String, String>();
for (int i = 0; i < fields.length; i++) {
infoMap.put(fields[i].getName(), fields[i].getType().toString().replace("class", ""));
@@ -353,16 +393,23 @@ public class LogDataService {
return infoMap;
}
public static String getFiledsSql(String mapName, String fileds) throws Exception {
String[] fieldsColoumn = null;
// 所有字段名
List<String> columnList = new ArrayList<String>();
// 所有属性名
List<String> propertyList = new ArrayList<String>();
// 属性名称为key字段名称为value
Map<String, String> columnMap = new HashMap<String, String>();
/**
* 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
*
* @param mapName
* @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
* @return
* @throws Exception
*/
private static String getFiledsSql(String mapName, String fileds) throws Exception {
if (!StringUtil.isBlank(fileds)) {
String[] fieldsColoumn = null;
// 所有字段名
List<String> columnList = new ArrayList<String>();
// 所有属性名
List<String> propertyList = new ArrayList<String>();
// 属性名称为key字段名称为value
Map<String, String> columnMap = new HashMap<String, String>();
// 解析Fileds的字段/属性名称
fieldsColoumn = fileds.split(",");
@@ -399,7 +446,13 @@ public class LogDataService {
return fileds;
}
public static Map<String, String> getFiledAndColumnMap(Class<?> clazz) {
/**
* 根据class从DfLogSearchDao.xml中获取对应的resultMap里column与property的关系,key是property
*
* @param clazz
* @return
*/
private static Map<String, String> getFiledAndColumnMap(Class<?> clazz) {
Map<String, String> map = new HashMap<String, String>();
SqlSessionFactory sqlSessionFactory = SpringContextHolder.getBean(SqlSessionFactory.class);
ResultMap resultMap = sqlSessionFactory.getConfiguration().getResultMap(clazz.getSimpleName() + "Map");
@@ -436,7 +489,7 @@ public class LogDataService {
}
/**
* 利用射调用bean.set方法将value设置到字段
* 利用射调用bean.set方法将value设置到字段
*
* @param bean
* @param fieldName
@@ -456,63 +509,4 @@ public class LogDataService {
method.invoke(bean, value);
}
/**
* 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
*
* @param startTime
* 开始时间
* @param endTime
* 结束时间
* @return
* @throws ParseException
*/
public static boolean ifTimeGreaterThan48(String startTime, String endTime) throws Exception {
logger.info("ifTimeGreaterThan48方法开始" + System.currentTimeMillis());
if (null != startTime && !startTime.equals("") && null != endTime && !endTime.equals("")) {// 开始和结束时间都不为空
Date startDate = sdf.parse(startTime);
Date endDate = sdf.parse(endTime);
if (startDate.getTime() < endDate.getTime()) {// 开始时间比结束时间早
logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
return gt48(endTime);
} else {// 开始时间比结束时间晚,不符合一般情况
logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
return false;
}
} else if (null != endTime && !endTime.equals("")) {// 开始时间为空,结束时间不为空
logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
return gt48(endTime);
} else if (null != startTime && !startTime.equals("")) {// 结束时间为空,开始时间不为空
logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
return gt48(startTime);
} else {// 开始和结束时间都为空
logger.info("ifTimeGreaterThan48方法结束" + System.currentTimeMillis());
return false;
}
}
public static boolean gt48(String eqTime) throws ParseException {
logger.info("gt48方法开始" + System.currentTimeMillis());
Date eqDate = sdf.parse(eqTime);
Long dateNum = eqDate.getTime();
Long currentDate = new Date().getTime();
Long time = 0l;
if (dateNum < currentDate) {
time = currentDate - dateNum;// 获取结束时间与当前系统时间的时间差毫秒数
} else {
logger.info("gt48方法结束" + System.currentTimeMillis());
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)
}
double hours = time.doubleValue() / (1000 * 60 * 60);
Long datacenterTime = Constants.DATACENTER_TIME;
double doubleValue = datacenterTime.doubleValue();
if (hours > doubleValue) {
logger.info("gt48方法结束" + System.currentTimeMillis());
return true;// 符合要求
} else {
logger.info("gt48方法结束" + System.currentTimeMillis());
return false;
}
}
}