数仓常用表设计与实现
一：di表、ds表
di表多用于事实表，例如：从数据库抽取的交易记录表，购买详单表等
实现逻辑较为简单，一般直接ETL即可。
ds表一般就是简单汇聚，例如：用户每天使用的pkg的数量表，一般直接group by 就行。
二：dd表，全量表
dd表多用于记录每日的全量状态表例如：用户账号密码表、用户通讯录表
实现逻辑一般为：取今天上报的全量的数据覆盖昨天表中的数据，完成更新
SQL例子：
insert into table dwd.dwd_user_info_dd(dt='20220503')
select coalesce(b.user_id,a.user_id) as user_id,coalesce(b.username,a.username) as username,coalesce(b.passsword,a.passsword) as passsword from
(select user_id,username,passsword from ods.ods_user_info_di where dt='20220503')a full join
(select user_id,username,passsword from dwd.dwd_user_info_dd where dt='20220502')b on a.user_id = b.user_id;
三：trace_dd表，轨迹表 trace_dd表多用于记录活跃轨迹：用户活跃轨迹表（一张表记录用户从历史到现在所有的活跃轨迹）
实现逻辑一般为：一个字段记录01串，表示用户是否活跃，一般附加两个字段，初始活跃日期和最近活跃日期
SQL例子：
insert overwrite table dws.dws_user_active_trace_dd(dt='20220504')
select coalesce(a.user_id,b.user_id) as user_id,if(b.user_id is not null,init_date,'20220504') as init_date,
if(a.user_id is not null,'20220504',init_date) as active_date,
if(a.user_id is not null and b.user_id is not null,concat(active_trace,'1'),
if(a.user_id is not null and b.user_id is null,'1',concat(active_trace,'0'))) as active_trace from
(select user_id from dwd.dwd_user_active_di)a full join
(select user_id,init_date,active_date,active_trace from dws.dws_user_active_trace_dd)b on a.user_id = b.user_id;
select gazj,hour,net_cate,net_traffic,active_trace,last_active_dt from (
select coalesce(a.gazj,b.gazj,c.gazj) as gazj,coalesce(a.hour,b.hour,c.hour) as hour,coalesce(a.net_cate,b.net_cate,c.net_cate) as net_cate,
if(length(active_trace)>=30,coalesce(CAST(a.net_traffic as bigint),0)-coalesce(CAST(b.net_traffic as bigint),0)+coalesce(CAST(c.net_traffic as bigint),0),coalesce(CAST(a.net_traffic as bigint),0)+coalesce(CAST(c.net_traffic as bigint),0) as net_traffic,
if(c.net_traffic is not null,concat(coalesce(active_trace,''),'1'),concat(coalesce(active_trace,''),'0')) as active_trace,
coalesce(dt,last_active_dt) as last_active_dt
from (
select gazj,hour,net_cate,net_traffic,if(length(active_trace)>=30,substr(active_trace,length(active_trace)-28,30),active_trace) as active_trace,last_active_dt
from tranadm.adm_aegis_paymentsecurity_netuse_midlabel_di where dt='${dt_pre1day}' and cycle='30day' and length(replace(active_trace,'0',''))>0
)a full join (
select gazj,hour,net_cate,net_traffic from tranadm.adm_aegis_paymentsecurity_netuse_di where dt='${dt_pre30day}'
)b on a.gazj=b.gazj and a.hour=b.hour and a.net_cate=b.net_cate full join (
select gazj,hour,net_cate,net_traffic,dt from data
)c on a.gazj=c.gazj and a.hour=c.hour and a.net_cate=c.net_cate)t where length(gazj)=36;
insert overwrite table tranadm.adm_aegis_paymentsecurity_netuse_label_di PARTITION(dt='${dt}',cycle='30day_data')
select a.gazj,hour,net_traffic,active_day from
(select gazj,sum(net_traffic) as net_traffic,max(length(replace(active_trace,'0',''))) as active_day from data where net_cate in ('data') group by gazj
)a left join(
select gazj,hour from (
select gazj,hour,high_period,row_number() over (partition by gazj order by high_period desc) as rn from (
select gazj,hour,sum(net_traffic) as high_period from data where net_cate in ('data') group by gazj,hour
) t
)t where rn =1
)b on a.gazj=b.gazj;
四：周表、双周表、月表
周表，双周表，月表：一般有最近一周两周月表、累计一周两周月表两种形式。
实现逻辑一般为：周表一般为直接计算7天的数据，双周表一般为单周表+计算7天的数据，月表一般为三周表+最近7天的数据（具体实现为一个公共函数，对外提供计算口径及方法）
例子：用户pkg的使用时长表
object parseDate {
//输出三个字段
def deal3days(dealdate:String) = {
import java.text.SimpleDateFormat
val simpleDateFormat = new SimpleDateFormat("yyyyMMdd")
val formatdate = simpleDateFormat.parse(dealdate)
if(formatdate.getTime/1000/60/60/24%3 ==0){
import java.util.Calendar
val calendar = Calendar.getInstance
calendar.setTime(formatdate)
calendar.add(Calendar.DAY_OF_YEAR,-2)
"true"+"|"+simpleDateFormat.format(calendar.getTime)+"|"+dealdate
}
else {
"false"+"||"
}
}
//第二个字段表示有一组三天的日期还是两组三天的日期
def dealweek(dealdate:String) = {
import java.text.SimpleDateFormat
import java.util.Calendar
val calendar = Calendar.getInstance
val simpleDateFormat = new SimpleDateFormat("yyyyMMdd")
val formatdate = simpleDateFormat.parse(dealdate)
calendar.setTime(formatdate)
if(calendar.get(Calendar.DAY_OF_WEEK) == 1){
val datethree = Array("","","","")
var datethreeindex = 0
while(calendar.getTimeInMillis/1000/60/60/24%3 !=0){
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
calendar.add(Calendar.DAY_OF_YEAR,-1)
}
val first3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的后缀日期
calendar.add(Calendar.DAY_OF_YEAR,-2)
val first3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-1)
if(datethreeindex == 2){
while(calendar.get(Calendar.DAY_OF_WEEK) != 1){ //拿到周日期的起点
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
calendar.add(Calendar.DAY_OF_YEAR,-1)
}
"true"+"|"+1+"|"+first3daystart+"|"+first3daysend+"|"+datethree(0)+"|"+datethree(1)+"|"+datethree(2)+"|"+datethree(3)
}
else{
val second3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-2)
val second3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
while(calendar.get(Calendar.DAY_OF_WEEK) != 1){ //拿到周日期的起点
calendar.add(Calendar.DAY_OF_YEAR,-1)
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
}
"true"+"|"+2+"|"+first3daystart+"|"+first3daysend+"|"+second3daystart+"|"+second3daysend+"|"+datethree(0)
}
}
else {
"false"+"||||||"
}
}
//第二个字段表示有一组三天的日期还是两组三天的日期
def dealastweek(dealdate:String) = {
import java.text.SimpleDateFormat
import java.util.Calendar
val calendar = Calendar.getInstance
val simpleDateFormat = new SimpleDateFormat("yyyyMMdd")
val formatdate = simpleDateFormat.parse(dealdate)
calendar.setTime(formatdate)
val datethree = Array("","","","")
var datethreeindex = 0
while(calendar.getTimeInMillis/1000/60/60/24%3 !=0){
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
calendar.add(Calendar.DAY_OF_YEAR,-1)
}
val first3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的后缀日期
calendar.add(Calendar.DAY_OF_YEAR,-2)
val first3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-1)
if(datethreeindex == 2){
while(calendar.get(Calendar.DAY_OF_WEEK) != 1){ //拿到周日期的起点
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
calendar.add(Calendar.DAY_OF_YEAR,-1)
}
dealdate+"true"+"|"+1+"|"+first3daystart+"|"+first3daysend+"|"+datethree(0)+"|"+datethree(1)+"|"+datethree(2)+"|"+datethree(3)
}
else{
val second3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-2)
val second3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
while(calendar.get(Calendar.DAY_OF_WEEK) != 1){ //拿到周日期的起点
calendar.add(Calendar.DAY_OF_YEAR,-1)
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
}
dealdate+"true"+"|"+2+"|"+first3daystart+"|"+first3daysend+"|"+second3daystart+"|"+second3daysend+"|"+datethree(0)
}
}
def dealtwoweek(dealdate:String) = {
import java.text.SimpleDateFormat
import java.util.Calendar
val calendar = Calendar.getInstance
val simpleDateFormat = new SimpleDateFormat("yyyyMMdd")
val formatdate = simpleDateFormat.parse(dealdate)
calendar.setTime(formatdate)
if(calendar.get(Calendar.DAY_OF_WEEK_IN_MONTH)%2 == 0 && calendar.get(Calendar.DAY_OF_WEEK)==1){
val second3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-6)
val second3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-1)
val first3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的后缀日期
calendar.add(Calendar.DAY_OF_YEAR,-6)
val first3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
"true"+"|"+first3daystart+"|"+first3daysend+"|"+second3daystart+"|"+second3daysend
}
else{
"false"+"||||"
}
}
def dealastwoweek(dealdate:String) = {
import java.text.SimpleDateFormat
import java.util.Calendar
val calendar = Calendar.getInstance
val simpleDateFormat = new SimpleDateFormat("yyyyMMdd")
val formatdate = simpleDateFormat.parse(dealdate)
calendar.setTime(formatdate)
val second3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-6)
val second3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-1)
val first3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的后缀日期
calendar.add(Calendar.DAY_OF_YEAR,-6)
val first3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
"true"+"|"+first3daystart+"|"+first3daysend+"|"+second3daystart+"|"+second3daysend
}
def dealmonth(dealdate:String) = {
import java.text.SimpleDateFormat
import java.util.Calendar
val calendar = Calendar.getInstance
val simpleDateFormat = new SimpleDateFormat("yyyyMMdd")
val formatdate = simpleDateFormat.parse(dealdate)
calendar.setTime(formatdate)
val calendarcopy = Calendar.getInstance
calendarcopy.setTime(formatdate)
calendarcopy.add(Calendar.DAY_OF_YEAR,1)
if(calendarcopy.get(Calendar.DAY_OF_MONTH)==1){
val datethree = Array("","","")
var datethreeindex = 0
while(calendar.get(Calendar.DAY_OF_WEEK_IN_MONTH)%2 != 0 && calendar.get(Calendar.DAY_OF_WEEK)!=1){
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
calendar.add(Calendar.DAY_OF_YEAR,-1)
}
val second3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-13)
val second3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-1)
val first3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的后缀日期
calendar.add(Calendar.DAY_OF_YEAR,-13)
val first3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
while(calendar.get(Calendar.DAY_OF_MONTH)!=1 ){
calendar.add(Calendar.DAY_OF_YEAR,-1)
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
}
"true"+"|"+datethreeindex+"|"+first3daystart+"|"+first3daysend+"|"+second3daystart+"|"+second3daysend+"|"+datethree(0)+"|"+datethree(1)+"|"+datethree(2)
}
else{
"false"+"||||||||"
}
}
def dealastmonth(dealdate:String) = {
import java.text.SimpleDateFormat
import java.util.Calendar
val calendar = Calendar.getInstance
val simpleDateFormat = new SimpleDateFormat("yyyyMMdd")
val formatdate = simpleDateFormat.parse(dealdate)
calendar.setTime(formatdate)
val calendarcopy = Calendar.getInstance
calendarcopy.setTime(formatdate)
calendarcopy.add(Calendar.DAY_OF_YEAR,1)
val datethree = Array("","")
var datethreeindex = 0
val second3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-13)
val second3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
calendar.add(Calendar.DAY_OF_YEAR,-1)
val first3daysend = simpleDateFormat.format(calendar.getTime)//提取3days的后缀日期
calendar.add(Calendar.DAY_OF_YEAR,-13)
val first3daystart = simpleDateFormat.format(calendar.getTime)//提取3days的前缀日期
while(datethreeindex <2){
calendar.add(Calendar.DAY_OF_YEAR,-1)
datethree.update(datethreeindex,simpleDateFormat.format(calendar.getTime))
datethreeindex = datethreeindex+1
}
"true"+"|"+datethreeindex+"|"+first3daystart+"|"+first3daysend+"|"+second3daystart+"|"+second3daysend+"|"+datethree(0)+"|"+datethree(1)
}
def main(args: Array[String]):Unit= {
val dealtype = 7
// val dealdatelist = Array("20220109","20220116","20220123","20220130")
val dealdatelist = Array("20220227","20220228","20220330","20220331")
for(dealdate <- dealdatelist) {
dealtype match{
case 1 => println(deal3days(dealdate))
case 2 => println(dealweek(dealdate))
case 3 => println(dealastweek(dealdate))
case 4 => println(dealtwoweek(dealdate))
case 5 => println(dealastwoweek(dealdate))
case 6 => println(dealmonth(dealdate))
case 7 => println(dealastmonth(dealdate))
}
}
}
}
SQL例子：
天表：(每天运行)
insert overwrite table dws.dws_user_usedur_ds(dt='20220109')
select user_id,sum(usedur) as usedur from dwd.dwd_user_usedur_di where dt='20220109' group by user_id;
三天表：(每隔三天运行)
System.currentTimeMillis/1000/60/60/24%3 ==0
insert overwrite table dws.dws_user_usedur_4ds(dt='20220103_20220105')
select user_id,sum(usedur) as usedur from dws.dws_user_usedur_ds where dt>='20220103' and dt<='20220105' group by user_id;
insert overwrite table dws.dws_user_usedur_4ds(dt='20220106_20220108')
select user_id,sum(usedur) as usedur from dws.dws_user_usedur_ds where dt>='20220106' and dt<='20220108' group by user_id;
周表：(每周日运行，依赖三天表天表):
insert overwrite table dws.dws_user_usedur_ws(dt='20220103_20220109')
select user_id,sum(usedur) as usedur from (
select user_id,usedur from dws.dws_user_usedur_4ds where dt='20220103_20220105'
union all
select user_id,usedur from dws.dws_user_usedur_4ds where dt='20220106_20220108'
union all
select user_id,usedur from dwd.dwd_user_usedur_di where dt='20220109'
)t group by user_id;
双周表：(每双周日运行，依赖周表):
insert overwrite table dws.dws_user_usedur_2ws(dt='20220103_20220116')
select user_id,sum(usedur) as usedur from (
select user_id,usedur from dws_user_usedur_ws where dt='20220103_20220109'
union all
select user_id,usedur from dws_user_usedur_ws where dt='20220110_20220116'
)t group by user_id;
月表：(每月底运行，依赖双周表天表):
insert overwrite table dws.dws_user_usedur_ms(dt='20220101_20220131')
select user_id,sum(usedur) as usedur from (
select user_id,usedur from dws.dws_user_usedur_2ws where dt='20220103_20220116'
union all
select user_id,usedur from dws.dws_user_usedur_2ws where dt='20220117_20220130'
union all
select user_id,usedur from dws.dws_user_usedur_ds where dt='20220101'
union all
select user_id,usedur from dws.dws_user_usedur_ds where dt='20220103'
union all
select user_id,usedur from dws.dws_user_usedur_ds where dt='20220131'
)t group by user_id;
周表：(每天运行，最近七天数据，依赖三天表天表):
insert overwrite table dws.dws_user_usedur_ws(dt='20220102_20220108')
select user_id,sum(usedur) as usedur from (
select user_id,usedur from dws.dws_user_usedur_4ds where dt='20220103_20220105'
union all
select user_id,usedur from dws.dws_user_usedur_4ds where dt='20220106_20220108'
union all
select user_id,usedur from dwd.dwd_user_usedur_di where dt='20220102'
)t group by user_id;
双周表：(每天运行，最近十四天数据，依赖周表):
insert overwrite table dws.dws_user_usedur_2ws(dt='20220104_20220117')
select user_id,sum(usedur) as usedur from (
select user_id,usedur from dws.dws_user_usedur_ws where dt='20220104_20220110'
union all
select user_id,usedur from dws.dws_user_usedur_ws where dt='20220111_20220117'
)t group by user_id;
月表：(每天运行，最近三十天数据，依赖双周表天表):
insert overwrite table dws.dws_user_usedur_ms(dt='20220103_20220201')
select user_id,sum(usedur) as usedur from (
select user_id,usedur from dws.dws_user_usedur_2ws where dt='20220103_20220116'
union all
select user_id,usedur from dws.dws_user_usedur_2ws where dt='20220117_20220130'
union all
select user_id,usedur from dws.dws_user_usedur_ds where dt='20220131'
union all
select user_id,usedur from dws.dws_user_usedur_ds where dt='20220201'
)t group by user_id;
四：复杂类型操作：相加表
一般的表会有复杂类型的数据，例如maplist，部分表会存在将map合并或者list相加减的表。
实现逻辑一般为：建立UDAF
package com.transsion.bigdata.aggregate
import org.apache.hadoop.hive.ql.exec.UDF
import org.apache.spark.sql.Row
import org.apache.spark.sql.expressions.{MutableAggregationBuffer, UserDefinedAggregateFunction}
import org.apache.spark.sql.types.{DataType, MapType, StringType, StructField, StructType,ArrayType}
import scala.collection.mutable
class AggList extends UserDefinedAggregateFunction {
override def inputSchema: StructType = StructType(StructField("input",ArrayType(StringType)):: Nil)
// 缓存区数据结构
override def bufferSchema: StructType = StructType(StructField("buffer",ArrayType(StringType)):: Nil)
// 聚合函数返回值数据结构
override def dataType: DataType = ArrayType(StringType)
// 聚合函数是否是幂等的，即相同输入是否总是能得到相同输出
override def deterministic: Boolean = true
// 初始化缓冲区
override def initialize(buffer: MutableAggregationBuffer): Unit = {
buffer(0) = new java.util.ArrayList[String]()
}
// 给聚合函数传入一条新数据进行处理
//传入字段做字符串反转
override def update(buffer: MutableAggregationBuffer, input: Row): Unit = {
agg(buffer,input)
}
// 合并聚合函数缓冲区
override def merge(buffer1: MutableAggregationBuffer, buffer2: Row): Unit = {
agg(buffer1,buffer2)
}
// 计算最终结果
override def evaluate(buffer: Row) = buffer.getList[String](0)
def agg(buffer1: MutableAggregationBuffer, buffer2: Row) = {
val bufferdata:java.util.List[String] =new java.util.ArrayList[String]()
bufferdata.addAll(buffer1.getList[String](0))
if(buffer2.get(0) != null){
bufferdata.removeAll(buffer2.getList[String](0))
bufferdata.addAll(buffer2.getList[String](0))
}
bufferdata.remove("")
buffer1.update(0,bufferdata)
// println("bufferdata:"+bufferdata)
// println()
}
}package com.transsion.bigdata.aggregate
import org.apache.hadoop.hive.ql.exec.UDF
import org.apache.spark.sql.Row
import org.apache.spark.sql.expressions.{MutableAggregationBuffer, UserDefinedAggregateFunction}
import org.apache.spark.sql.types._
import org.apache.spark.sql.types.MapType
import scala.collection.mutable
class AggMap extends UserDefinedAggregateFunction {
override def inputSchema: StructType = StructType(StructField("input",MapType(StringType,StringType)):: Nil)
// 缓存区数据结构
override def bufferSchema: StructType = StructType(StructField("buffer",MapType(StringType,StringType)):: Nil)
// 聚合函数返回值数据结构
override def dataType: DataType = MapType(StringType,StringType)
// 聚合函数是否是幂等的，即相同输入是否总是能得到相同输出
override def deterministic: Boolean = true
// 初始化缓冲区
override def initialize(buffer: MutableAggregationBuffer): Unit = {
buffer(0) = mutable.Map()
}
// 给聚合函数传入一条新数据进行处理
//传入字段做字符串反转
override def update(buffer: MutableAggregationBuffer, input: Row): Unit = {
evaluate(buffer,input)
}
// 合并聚合函数缓冲区
override def merge(buffer1: MutableAggregationBuffer, buffer2: Row): Unit = {
evaluate(buffer1,buffer2)
}
// 计算最终结果
override def evaluate(buffer: Row) = buffer.getMap[String,String](0)
def evaluate(buffer1: MutableAggregationBuffer, buffer2: Row) = {
// println("-----buffer1.size === "+buffer1.size)
// println("-----buffer2.size === "+buffer2.size)
val bufferdata = buffer1.getMap[String,String](0)
val inputdata = buffer2.getMap[String,String](0)
if(inputdata != null){
val keyset = bufferdata.keySet.toList.++:(inputdata.keySet.toList).distinct
// println("-----keySet === "+bufferdata.keySet.toList.++:(inputdata.keySet.toList).distinct)
// println("-----bufferdata|inputdata === "+bufferdata+"|"+inputdata)
var finalMap:mutable.Map[String,String] =mutable.Map[String,String]()
for (key <- keyset){
if(!key.equals("")){
// println("-----key:"+(key.equals("")))
// if(bufferdata.contains(key) && inputdata.contains(key) )
// println("-----bufferdata + inputdata === " + bufferdata.apply(key).toString.toDouble + inputdata.apply(key).toString.toDouble)
// else if(bufferdata.contains(key))
// println("-----bufferdata === "+bufferdata.apply(key).toString.toDouble)
// else if(inputdata.contains(key)) println("-----inputdata === "+inputdata.apply(key).toString.toDouble)
val values = {if(bufferdata.contains(key) && inputdata.contains(key) ) bufferdata.apply(key).toString.toDouble + inputdata.apply(key).toString.toDouble
else if(bufferdata.contains(key)) bufferdata.apply(key).toString.toDouble
else if(inputdata.contains(key)) inputdata.apply(key).toString.toDouble }
finalMap.put(key,values.toString)
}
}
// println("-----finalMap.toMap === "+ finalMap.toMap)
// println()
buffer1.update(0,finalMap.toMap)
}
}
}
搬砖多年终不得要领，遂载源码看之望得真经。
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