ads層數據每每是最終的結果指標數據,在大屏展現,或者實時流處理時候使用,經過下面兩個例子來練習業務大屏展現sql該怎麼寫。sql
表結構以下,其中此表是dws層以天爲維度的會員表,好比天天的會員信息彙總,app
use dws; drop table if exists dws.dws_member_start_day; create table dws.dws_member_start_day( `device_id` string, -- 設備id,來區分用戶 `uid` string, -- uid `app_v` string, `os_type` string, `language` string, `channel` string, `area` string, `brand` string ) COMMENT '會員日啓動彙總' partitioned by(dt string) stored as parquet;
沉默會員的定義:只在安裝當天啓動過App,並且安裝時間是在7天前函數
流失會員的定義:最近30天未登陸的會員大數據
-- 拿到只啓動一次的會員,後面再過濾安裝時間是再7天前的,使用sum 窗口函數 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
-- 拿到會員最近一次登陸時間,並用row_number來過濾 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)
給定一個每日訂單維度表,表結構以下圖: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 '訂單事實拉鍊表' partitioned by (dt string) STORED AS PARQUET;
其中,訂單狀態 -3 用戶拒收 -2未付款的訂單 -1用戶取消 0 待發貨 1配送中 2用戶確認收貨,訂單有效標誌 -1 刪除 1 有效人工智能
數據預處理,在明細事實拉鍊表處理時不太方便,能夠作一張中間表,dws_trade_orders_day
其表結構和加工以下: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 '日訂單筆數', day_sum decimal COMMENT '日訂單總額') COMMENT '日訂單統計表'; 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';
先建立ads指標表:dws_trade_orders_quarter
ci
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 '訂單總筆數', SUM decimal COMMENT '訂單總額') COMMENT '季度訂單統計表'; 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;
先建立ads指標表:dws_trade_orders_month
string
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 '月訂單總筆數', month_sum decimal COMMENT '月訂單總額') COMMENT '月訂單統計表'; 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;
建立ads層指標表:dws_trade_orders_week
利用到日期函數weekofyear
it
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 '一年中的第幾周', week_cnt decimal COMMENT '周訂單總筆數', week_sum decimal COMMENT '周訂單總額') COMMENT '周訂單統計表'; 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;
建立日期信息維表:dim_day_info
並錄入節假日信息數據(數據每一年都不同,須要國務院通知的公告,因此按期手動維護)
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 '節假日標識: 0不是 1是', is_workday int comment '工做日標識 0不是 1是' ) comment '日期信息表';
-- 統計2020節假日的訂單筆數,訂單總額 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; -- 統計2020年休息日的訂單筆數,訂單總額 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; -- 統計2020節工做日的訂單筆數,訂單總額 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;
吳邪,小三爺,混跡於後臺,大數據,人工智能領域的小菜鳥。
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