大数据开发-数仓ads层指标计算

时间  2020-12-14
标签 sql app 函数 大数据 人工智能 code string 栏目 SQL 繁體版
原文   原文链接

ads层数据每每是最终的结果指标数据，在大屏展现，或者实时流处理时候使用，经过下面两个例子来练习业务大屏展现sql该怎么写。sql

1.会员分析案例

1.1 数据准备

表结构以下，其中此表是dws层以天为维度的会员表，好比天天的会员信息汇总，app

use dws;
drop table if exists dws.dws_member_start_day;
create table dws.dws_member_start_day(
`device_id` string, -- 设备id，来区分用户
`uid` string, -- uid
`app_v` string,
`os_type` string,
`language` string,
`channel` string,
`area` string,
`brand` string
) COMMENT '会员日启动汇总'
partitioned by(dt string)
stored as parquet;

1.2 会员指标计算

沉默会员的定义：只在安装当天启动过App，并且安装时间是在7天前函数

流失会员的定义：最近30天未登陆的会员大数据

1.2.1 如何计算沉默会员数

-- 拿到只启动一次的会员，后面再过滤安装时间是再7天前的，使用sum 窗口函数
SELECT count(*)
FROM
  (SELECT device_id,
          sum(device_id) OVER (PARTITION BY device_id) AS sum_num,
                     dt
   FROM dws.dws_member_start_day) tmp
WHERE dt <= date_add(CURRENT_DATE, -7)
  AND sum_num=1

1.2.2 如何计算流失会员数

-- 拿到会员最近一次登陆时间，并用row_number来过滤
SELECT count(*)
FROM
  (SELECT device_id,
          dt,
          row_number() OVER (PARTITION BY device_id
                             ORDER BY dt DESC) ro
   FROM dws.dws_member_start_day) tmp
WHERE ro=1
  AND dt >= date_add(CURRENT_DATE, -30)

2. 核心交易案例

2.1 数据准备

给定一个每日订单维度表，表结构以下图：ui

DROP TABLE IF EXISTS dwd.dwd_trade_orders;
create table dwd.dwd_trade_orders(
`orderId`    int,
`orderNo`   string,
`userId`    bigint,
`status`    tinyint,
`productMoney` decimal,
`totalMoney`  decimal,
`payMethod`   tinyint,
`isPay`     tinyint,
`areaId`    int,
`tradeSrc`   tinyint,
`tradeType`   int,
`isRefund`   tinyint,
`dataFlag`   tinyint,
`createTime`  string,
`payTime`   string,
`modifiedTime` string,
`start_date`  string,
`end_date`   string
) COMMENT '订单事实拉链表'
partitioned by (dt string)
STORED AS PARQUET;

其中，订单状态 -3 用户拒收 -2未付款的订单 -1用户取消 0 待发货 1配送中 2用户确认收货，订单有效标志 -1 删除 1 有效人工智能

数据预处理，在明细事实拉链表处理时不太方便，能够作一张中间表，dws_trade_orders_day 其表结构和加工以下：code

DROP TABLE IF EXISTS dws.dws_trade_orders_day;

CREATE TABLE IF NOT EXISTS dws.dws_trade_orders_day(day_dt string COMMENT '日期：yyyy-MM-dd',
                                                   day_cnt decimal commnet '日订单笔数',
                                                   day_sum decimal COMMENT '日订单总额') COMMENT '日订单统计表';

SELECT dt,
       count(*) cnt,
       sum(totalMoney) sm
FROM
  (SELECT DISTINCT orderid,
                   dt,
                   totalMoney
   FROM dwd.dwd_trade_orders
   WHERE status >= 0
     AND dataFlag = '1') tmp
GROUP BY dt;


INSERT OVERWRITE TABLE dws.dws_trade_orders_day
SELECT dt,
       count(*) cnt,
       sum(totalMoney) sm
FROM
  (SELECT DISTINCT orderid,
                   dt,
                   totalMoney
   FROM dwd.dwd_trade_orders
   WHERE status >= 0
     AND dataFlag = '1') tmp
GROUP BY dt;


SELECT *
FROM dws.dws_trade_orders_day
WHERE day_dt BETWEEN '2020-01-01' AND '2020-12-31';

2.2 指标1，统计2020年每一个季度的销售订单笔数、订单总额

先建立ads指标表：dws_trade_orders_quarterci

DROP TABLE IF EXISTS dws.dws_trade_orders_quarter;


CREATE TABLE IF NOT EXISTS dws.dws_trade_orders_quarter(YEAR string COMMENT '年份',
                                                        QUARTER string COMMENT '季度',
                                                        cnt decimal COMMENT '订单总笔数',
                                                        SUM decimal COMMENT '订单总额') COMMENT '季度订单统计表';


INSERT OVERWRITE TABLE dws.dws_trade_orders_quarter WITH tmp AS
  (SELECT substr(day_dt, 0, 4) YEAR,
                               CASE WHEN substr(dat_dt, 6, 2)="01"
   OR substr(dat_dt, 6, 2)="02"
   OR substr(day_dt, 6, 2)="03" THEN "1" WHEN substr(dat_dt, 6, 2)="04"
   OR substr(dat_dt, 6, 2)="05"
   OR substr(day_dt, 6, 2)="06" THEN "2" WHEN substr(dat_dt, 6, 2)="07"
   OR substr(dat_dt, 6, 2)="08"
   OR substr(day_dt, 6, 2)="09" THEN "3" WHEN substr(dat_dt, 6, 2)="10"
   OR substr(dat_dt, 6, 2)="11"
   OR substr(day_dt, 6, 2)="12" THEN "4" AS QUARTER day_cnt,
                                     day_sum
   FROM dws.dws_trade_orders_day)
SELECT YEAR,
       QUARTER,
       sum(day_cnt),
       sum(day_sum)
FROM tmp
GROUP BY YEAR QUARTER;

2.3 统计2020年每月的销售订单笔数、订单总额

先建立ads指标表：dws_trade_orders_monthstring

DROP TABLE IF EXISTS dws.dws_trade_orders_month;

CREATE TABLE IF NOT EXISTS dws.dws_trade_orders_month(yearstring COMMENT '年份',
                                                      MONTH string COMMENT '月份',
                                                      month_cnt decimal COMMENT '月订单总笔数',
                                                      month_sum decimal COMMENT '月订单总额') COMMENT '月订单统计表';


INSERT OVERWRITE TABLE dws.dws_trade_orders_month WITH tmp AS
  (SELECT substr(day_dt, 0, 4) YEAR,
                               sunstr(day_dt, 6, 2) MONTH,
                                                    day_cnt,
                                                    day_sum
   FROM dws.dws_trade_orders_day)
SELECT YEAR,
       MONTH,
       sum(day_cnt) month_cnt,
       sum(day_sum) month_sum
FROM tmp
GROUP BY YEAR,
         MONTH;

2.4 统计2020年每周（周一到周日）的销售订单笔数、订单总额

建立ads层指标表：dws_trade_orders_week 利用到日期函数weekofyearit

DROP TABLE IF EXISTS dws.dws_trade_orders_week;
CREATE TABLE IF NOT EXISTS dws.dws_trade_orders_week(YEAR string COMMENT '年份',
                                                     WEEK string COMMENT '一年中的第几周',
                                                     week_cnt decimal COMMENT '周订单总笔数',
                                                     week_sum decimal COMMENT '周订单总额') COMMENT '周订单统计表';


INSERT OVERWRITE TABLE dws.dws_trade_orders_week
SELECT substr(day_dt, 0, 4) YEAR,
                            weekofyear(day_dt) WEEK,
                                               sum(day_cnt),
                                               sum(day_sum)
FROM dws.dws_trade_orders_day
GROUP BY substr(day_dt, 0, 4) YEAR,
                              weekofyear(day_dt) WEEK;

2.5 统计2020年国家法定节假日、休息日、工做日的订单笔数、订单总额

建立日期信息维表：dim_day_info 并录入节假日信息数据（数据每一年都不同，须要国务院通知的公告，因此按期手动维护）

drop table if exists dim.dim_day_info;
create table if not exists dim.dim_day_info(
  day_dt string comment '日期',
  is_holidays int comment '节假日标识： 0不是 1是',
  is_workday int comment '工做日标识 0不是 1是'
) comment '日期信息表';
-- 统计2020节假日的订单笔数，订单总额

SELECT nvl(sum(day_cnt), 0) nvl(sum(day_sum), 0)
FROM dws.dws_trade_orders_day A
LEFT JOIN dim.dim_day_info B ON A.day_dt = B.day_dt
WHERE B.is_holiday = 1;

-- 统计2020年休息日的订单笔数，订单总额

SELECT nvl(sum(day_cnt), 0) nvl(sum(day_sum), 0)
FROM dws.dws_trade_orders_day A
LEFT JOIN dim.dim_day_info B ON A.day_dt = B.day_dt
WHERE B.is_workday = 0;

-- 统计2020节工做日的订单笔数，订单总额

SELECT nvl(sum(day_cnt), 0) nvl(sum(day_sum), 0)
FROM dws.dws_trade_orders_day A
LEFT JOIN dim.dim_day_info B ON A.day_dt = B.day_dt
WHERE B.is_workday = 1;

吴邪，小三爷，混迹于后台，大数据，人工智能领域的小菜鸟。
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