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黑马在线教育数仓实战5

5. 意向用户主题看板_全量流程

5.1 需求分析

  • 需求一: 计期内，新增意向客户（包含自己录入的意向客户）总数。
  • 需求二: 统计指定时间段内，新增的意向客户，所在城市区域人数热力图。
  • 需求三: 统计指定时间段内，新增的意向客户中，意向学科人数排行榜。学科名称要关联查询出来。
  • 需求四: 统计指定时间段内，新增的意向客户中，意向校区人数排行榜
  • 需求五: 统计指定时间段内，新增的意向客户中，不同来源渠道的意向客户占比。
  • 需求六: 统计指定时间段内，新增的意向客户中，各咨询中心产生的意向客户数占比情况。

总结:

5.2 业务数据的准备工作

  • 需要在mysql中创建一个库
create database scrm default character set utf8mb4 collate utf8mb4_unicode_ci;
  • 将项目的业务数据集导入到这个库中

5.3 建模分析

  • ODS层: 源数据层
    • 作用: 对接数据源, 一般和数据源保持相同粒度 (直白: 将数据源中拷贝到ODS层中)
    • 一般放置是事实表和少量的维度表
  • DIM层: 数据维度层

  • DW层: 数据仓库层

    • DWD层: 数据明细层

      • 作用: 1) 清洗转换处理工作 2) 少量维度退化(此层不需要执行)
      • 建模内容

    • DWM层: 数据中间层

    • 作用: 1) 提前聚合的操作( 由于有去重,导致无法实施) 2) 维度退化操作

  • DWS层: 数据业务层

    • 作用: 细化统计各个维度的数据

  • DA层: 数据应用层

    • 此层不需要

5.4 分桶表优化方案:

思考: 什么是分桶表?

如何构建一个分桶表呢?

create table test_buck(id int, name string)
clustered by(id) sorted by (id asc) into 6 buckets   -- 创建分桶表的SQL
row format delimited fields terminated by '\t';

如何向分桶表添加数据呢?

分桶表有什么作用呢?

 黑马在线教育数仓实战5-LMLPHP

5.4.1 如何进行数据采样

  • 采样函数
tablesample(bucket x out of y on column)

5.4.2 如何提升查询的效率

​ 对于单表效率的提升, 已经在前面讲过了, 这里不再讲解....

以下主要来讲解, 关于多表的效率的提升

思考: 当多表进行join的时候, 如何提升join效率呢?

reduce端join的流程:

 黑马在线教育数仓实战5-LMLPHP

  • 小表和大表:

    • 采用 map join的方案

 黑马在线教育数仓实战5-LMLPHP

  • 如何开启map Join
    set hive.auto.convert.join=true;  -- 是否开启map Join
    set hive.auto.convert.join.noconditionaltask.size=512000000; -- 设置小表最大的阈值(设置block cache 缓存大小)

map Join  不限制任何表

  • 中型表和大表:

    • 中型表: 与小表相比 大约是小表3~10倍左右

    • 解决方案:

        1. 能提前过滤就提前过滤掉(一旦提前过滤后, 会导致中型表的数据量会下降, 有可能达到小表阈值)
        2. 如果join的字段值有大量的null, 可以尝试添加随机数(保证各个reduce接收数据量差不多的, 减少数据倾斜问题)
        3. 基于分桶表的: bucket map join

黑马在线教育数仓实战5-LMLPHP

  • 大表和大表:

    • 解决方案:

        1. 能提前过滤就提前过滤掉(减少join之间的数量, 提升reduce执行效率)
        1. 如果join的字段值有大量的null, 可以尝试添加随机数(保证各个reduce接收数据量差不多的, 减少数据倾斜问题)
        1. SMB Map join (sort merge bucket map join)

5.5 建模操作

  • ODS层:
set hive.exec.orc.compression.strategy=COMPRESSION;
-- 客户意向表(内部 分区 分桶表, 拉链表)
CREATE TABLE IF NOT EXISTS itcast_ods.`customer_relationship` (
  `id` int COMMENT '客户关系id',
  `create_date_time` STRING COMMENT '创建时间',
  `update_date_time` STRING COMMENT '最后更新时间',
  `deleted` int COMMENT '是否被删除（禁用）',
  `customer_id` int COMMENT '所属客户id',
  `first_id` int COMMENT '第一条客户关系id',
  `belonger` int COMMENT '归属人',
  `belonger_name` STRING COMMENT '归属人姓名',
  `initial_belonger` int COMMENT '初始归属人',
  `distribution_handler` int COMMENT '分配处理人',
  `business_scrm_department_id` int COMMENT '归属部门',
  `last_visit_time` STRING COMMENT '最后回访时间',
  `next_visit_time` STRING COMMENT '下次回访时间',
  `origin_type` STRING COMMENT '数据来源',
  `itcast_school_id` int COMMENT '校区Id',
  `itcast_subject_id` int COMMENT '学科Id',
  `intention_study_type` STRING COMMENT '意向学习方式',
  `anticipat_signup_date` STRING COMMENT '预计报名时间',
  `level` STRING COMMENT '客户级别',
  `creator` int COMMENT '创建人',
  `current_creator` int COMMENT '当前创建人：初始==创建人，当在公海拉回时为 拉回人',
  `creator_name` STRING COMMENT '创建者姓名',
  `origin_channel` STRING COMMENT '来源渠道',
  `comment` STRING COMMENT '备注',
  `first_customer_clue_id` int COMMENT '第一条线索id',
  `last_customer_clue_id` int COMMENT '最后一条线索id',
  `process_state` STRING COMMENT '处理状态',
  `process_time` STRING COMMENT '处理状态变动时间',
  `payment_state` STRING COMMENT '支付状态',
  `payment_time` STRING COMMENT '支付状态变动时间',
  `signup_state` STRING COMMENT '报名状态',
  `signup_time` STRING COMMENT '报名时间',
  `notice_state` STRING COMMENT '通知状态',
  `notice_time` STRING COMMENT '通知状态变动时间',
  `lock_state` STRING COMMENT '锁定状态',
  `lock_time` STRING COMMENT '锁定状态修改时间',
  `itcast_clazz_id` int COMMENT '所属ems班级id',
  `itcast_clazz_time` STRING COMMENT '报班时间',
  `payment_url` STRING COMMENT '付款链接',
  `payment_url_time` STRING COMMENT '支付链接生成时间',
  `ems_student_id` int COMMENT 'ems的学生id',
  `delete_reason` STRING COMMENT '删除原因',
  `deleter` int COMMENT '删除人',
  `deleter_name` STRING COMMENT '删除人姓名',
  `delete_time` STRING COMMENT '删除时间',
  `course_id` int COMMENT '课程ID',
  `course_name` STRING COMMENT '课程名称',
  `delete_comment` STRING COMMENT '删除原因说明',
  `close_state` STRING COMMENT '关闭装填',
  `close_time` STRING COMMENT '关闭状态变动时间',
  `appeal_id` int COMMENT '申诉id',
  `tenant` int COMMENT '租户',
  `total_fee` DECIMAL COMMENT '报名费总金额',
  `belonged` int COMMENT '小周期归属人',
  `belonged_time` STRING COMMENT '归属时间',
  `belonger_time` STRING COMMENT '归属时间',
  `transfer` int COMMENT '转移人',
  `transfer_time` STRING COMMENT '转移时间',
  `follow_type` int COMMENT '分配类型，0-自动分配，1-手动分配，2-自动转移，3-手动单个转移，4-手动批量转移，5-公海领取',
  `transfer_bxg_oa_account` STRING COMMENT '转移到博学谷归属人OA账号',
  `transfer_bxg_belonger_name` STRING COMMENT '转移到博学谷归属人OA姓名',
  `end_time` STRING COMMENT '有效截止时间')
comment '客户关系表'
PARTITIONED BY(start_time STRING)
clustered by(id) sorted by(id) into 10 buckets
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='ZLIB');

-- 客户线索表: (内部分区分桶表, 拉链表)
CREATE TABLE IF NOT EXISTS itcast_ods.customer_clue (
  id int COMMENT 'customer_clue_id',
  create_date_time STRING COMMENT '创建时间',
  update_date_time STRING COMMENT '最后更新时间',
  deleted STRING COMMENT '是否被删除（禁用）',
  customer_id int COMMENT '客户id',
  customer_relationship_id int COMMENT '客户关系id',
  session_id STRING COMMENT '七陌会话id',
  sid STRING COMMENT '访客id',
  status STRING COMMENT '状态（undeal待领取 deal 已领取 finish 已关闭 changePeer 已流转）',
  users STRING COMMENT '所属坐席',
  create_time STRING COMMENT '七陌创建时间',
  platform STRING COMMENT '平台来源 （pc-网站咨询|wap-wap咨询|sdk-app咨询|weixin-微信咨询）',
  s_name STRING COMMENT '用户名称',
  seo_source STRING COMMENT '搜索来源',
  seo_keywords STRING COMMENT '关键字',
  ip STRING COMMENT 'IP地址',
  referrer STRING COMMENT '上级来源页面',
  from_url STRING COMMENT '会话来源页面',
  landing_page_url STRING COMMENT '访客着陆页面',
  url_title STRING COMMENT '咨询页面title',
  to_peer STRING COMMENT '所属技能组',
  manual_time STRING COMMENT '人工开始时间',
  begin_time STRING COMMENT '坐席领取时间 ',
  reply_msg_count int COMMENT '客服回复消息数',
  total_msg_count int COMMENT '消息总数',
  msg_count int COMMENT '客户发送消息数',
  comment STRING COMMENT '备注',
  finish_reason STRING COMMENT '结束类型',
  finish_user STRING COMMENT '结束坐席',
  end_time STRING COMMENT '会话结束时间',
  platform_description STRING COMMENT '客户平台信息',
  browser_name STRING COMMENT '浏览器名称',
  os_info STRING COMMENT '系统名称',
  area STRING COMMENT '区域',
  country STRING COMMENT '所在国家',
  province STRING COMMENT '省',
  city STRING COMMENT '城市',
  creator int COMMENT '创建人',
  name STRING COMMENT '客户姓名',
  idcard STRING COMMENT '身份证号',
  phone STRING COMMENT '手机号',
  itcast_school_id int COMMENT '校区Id',
  itcast_school STRING COMMENT '校区',
  itcast_subject_id int COMMENT '学科Id',
  itcast_subject STRING COMMENT '学科',
  wechat STRING COMMENT '微信',
  qq STRING COMMENT 'qq号',
  email STRING COMMENT '邮箱',
  gender STRING COMMENT '性别',
  level STRING COMMENT '客户级别',
  origin_type STRING COMMENT '数据来源渠道',
  information_way STRING COMMENT '资讯方式',
  working_years STRING COMMENT '开始工作时间',
  technical_directions STRING COMMENT '技术方向',
  customer_state STRING COMMENT '当前客户状态',
  valid STRING COMMENT '该线索是否是网资有效线索',
  anticipat_signup_date STRING COMMENT '预计报名时间',
  clue_state STRING COMMENT '线索状态',
  scrm_department_id int COMMENT 'SCRM内部部门id',
  superior_url STRING COMMENT '诸葛获取上级页面URL',
  superior_source STRING COMMENT '诸葛获取上级页面URL标题',
  landing_url STRING COMMENT '诸葛获取着陆页面URL',
  landing_source STRING COMMENT '诸葛获取着陆页面URL来源',
  info_url STRING COMMENT '诸葛获取留咨页URL',
  info_source STRING COMMENT '诸葛获取留咨页URL标题',
  origin_channel STRING COMMENT '投放渠道',
  course_id int COMMENT '课程编号',
  course_name STRING COMMENT '课程名称',
  zhuge_session_id STRING COMMENT 'zhuge会话id',
  is_repeat int COMMENT '是否重复线索(手机号维度) 0:正常 1：重复',
  tenant int COMMENT '租户id',
  activity_id STRING COMMENT '活动id',
  activity_name STRING COMMENT '活动名称',
  follow_type int COMMENT '分配类型，0-自动分配，1-手动分配，2-自动转移，3-手动单个转移，4-手动批量转移，5-公海领取',
  shunt_mode_id int COMMENT '匹配到的技能组id',
  shunt_employee_group_id int COMMENT '所属分流员工组',
  ends_time STRING COMMENT '有效时间')
comment '客户关系表'
PARTITIONED BY(starts_time STRING)
clustered by(customer_relationship_id) sorted by(customer_relationship_id) into 10 buckets
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='ZLIB');
  • DIM层:
CREATE DATABASE IF NOT EXISTS itcast_dimen;
-- 客户表
CREATE TABLE IF NOT EXISTS itcast_dimen.`customer` (
  `id` int COMMENT 'key id',
  `customer_relationship_id` int COMMENT '当前意向id',
  `create_date_time` STRING COMMENT '创建时间',
  `update_date_time` STRING COMMENT '最后更新时间',
  `deleted` int  COMMENT '是否被删除（禁用）',
  `name` STRING COMMENT '姓名',
  `idcard` STRING  COMMENT '身份证号',
  `birth_year` int COMMENT '出生年份',
  `gender` STRING COMMENT '性别',
  `phone` STRING COMMENT '手机号',
  `wechat` STRING COMMENT '微信',
  `qq` STRING COMMENT 'qq号',
  `email` STRING COMMENT '邮箱',
  `area` STRING COMMENT '所在区域',
  `leave_school_date` date COMMENT '离校时间',
  `graduation_date` date COMMENT '毕业时间',
  `bxg_student_id` STRING COMMENT '博学谷学员ID，可能未关联到，不存在',
  `creator` int COMMENT '创建人ID',
  `origin_type` STRING COMMENT '数据来源',
  `origin_channel` STRING COMMENT '来源渠道',
  `tenant` int,
  `md_id` int COMMENT '中台id')
comment '客户表'
PARTITIONED BY(start_time STRING)
ROW FORMAT DELIMITED 
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='SNAPPY');

-- 学科表
CREATE TABLE IF NOT EXISTS itcast_dimen.`itcast_subject` (
  `id` int COMMENT '自增主键',
  `create_date_time` timestamp COMMENT '创建时间',
  `update_date_time` timestamp COMMENT '最后更新时间',
  `deleted` STRING COMMENT '是否被删除（禁用）',
  `name` STRING COMMENT '学科名称',
  `code` STRING COMMENT '学科编码',
  `tenant` int COMMENT '租户')
comment '学科字典表'
PARTITIONED BY(start_time STRING)
ROW FORMAT DELIMITED 
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='SNAPPY');

-- 校区表
CREATE TABLE IF NOT EXISTS itcast_dimen.`itcast_school` (
  `id` int COMMENT '自增主键',
  `create_date_time` timestamp COMMENT '创建时间',
  `update_date_time` timestamp  COMMENT '最后更新时间',
  `deleted` STRING COMMENT '是否被删除（禁用）',
  `name` STRING COMMENT '校区名称',
  `code` STRING COMMENT '校区标识',
  `tenant` int COMMENT '租户')
comment '校区字典表'
PARTITIONED BY(start_time STRING)
ROW FORMAT DELIMITED 
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='SNAPPY');

-- 员工表
CREATE TABLE IF NOT EXISTS itcast_dimen.employee (
  id int COMMENT '员工id',
  email STRING COMMENT '公司邮箱，OA登录账号',
  real_name STRING COMMENT '员工的真实姓名',
  phone STRING COMMENT '手机号，目前还没有使用；隐私问题OA接口没有提供这个属性，',
  department_id STRING COMMENT 'OA中的部门编号，有负值',
  department_name STRING COMMENT 'OA中的部门名',
  remote_login STRING COMMENT '员工是否可以远程登录',
  job_number STRING COMMENT '员工工号',
  cross_school STRING COMMENT '是否有跨校区权限',
  last_login_date STRING COMMENT '最后登录日期',
  creator int COMMENT '创建人',
  create_date_time STRING COMMENT '创建时间',
  update_date_time STRING COMMENT '最后更新时间',
  deleted STRING COMMENT '是否被删除（禁用）',
  scrm_department_id int COMMENT 'SCRM内部部门id',
  leave_office STRING COMMENT '离职状态',
  leave_office_time STRING COMMENT '离职时间',
  reinstated_time STRING COMMENT '复职时间',
  superior_leaders_id int COMMENT '上级领导ID',
  tdepart_id int COMMENT '直属部门',
  tenant int COMMENT '租户',
  ems_user_name STRING COMMENT 'ems用户名称'
)
comment '员工表'
PARTITIONED BY(start_time STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='SNAPPY');

-- 部门表
CREATE TABLE IF NOT EXISTS itcast_dimen.`scrm_department` (
  `id` int COMMENT '部门id',
  `name` STRING COMMENT '部门名称',
  `parent_id` int COMMENT '父部门id',
  `create_date_time` STRING COMMENT '创建时间',
  `update_date_time` STRING COMMENT '更新时间',
  `deleted` STRING COMMENT '删除标志',
  `id_path` STRING COMMENT '编码全路径',
  `tdepart_code` int COMMENT '直属部门',
  `creator` STRING COMMENT '创建者',
  `depart_level` int COMMENT '部门层级',
  `depart_sign` int COMMENT '部门标志，暂时默认1',
  `depart_line` int COMMENT '业务线，存储业务线编码',
  `depart_sort` int COMMENT '排序字段',
  `disable_flag` int COMMENT '禁用标志',
  `tenant` int COMMENT '租户')
comment 'scrm部门表'
PARTITIONED BY(start_time STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='SNAPPY');
  • DWD层
CREATE TABLE IF NOT EXISTS itcast_dwd.`itcast_intention_dwd` (
  `rid` int COMMENT 'id',
  `customer_id` STRING COMMENT '客户id',
  `create_date_time` STRING COMMENT '创建时间',
  `itcast_school_id` STRING COMMENT '校区id',
  `deleted` STRING COMMENT '是否被删除',
  `origin_type` STRING COMMENT '来源渠道',
  `itcast_subject_id` STRING COMMENT '学科id',
  `creator` int COMMENT '创建人',
  `hourinfo` STRING COMMENT '小时信息',
  `origin_type_stat` STRING COMMENT '数据来源:0.线下；1.线上'
)
comment '客户意向dwd表'
PARTITIONED BY(yearinfo STRING,monthinfo STRING,dayinfo STRING)
clustered by(rid) sorted by(rid) into 10 buckets
ROW FORMAT DELIMITED 
FIELDS TERMINATED BY '\t'
stored as ORC
TBLPROPERTIES ('orc.compress'='SNAPPY');
  • DWM层:
create database itcast_dwm;

CREATE TABLE IF NOT EXISTS itcast_dwm.`itcast_intention_dwm` (
  `customer_id` STRING COMMENT 'id信息',
  `create_date_time` STRING COMMENT '创建时间',
  `area` STRING COMMENT '区域信息',
  `itcast_school_id` STRING COMMENT '校区id',
  `itcast_school_name` STRING COMMENT '校区名称',
  `deleted` STRING COMMENT '是否被删除',
  `origin_type` STRING COMMENT '来源渠道',
  `itcast_subject_id` STRING COMMENT '学科id',
  `itcast_subject_name` STRING COMMENT '学科名称',
  `hourinfo` STRING COMMENT '小时信息',
  `origin_type_stat` STRING COMMENT '数据来源:0.线下；1.线上',
  `clue_state_stat` STRING COMMENT '新老客户：0.老客户；1.新客户',
  `tdepart_id` STRING COMMENT '创建者部门id',
  `tdepart_name` STRING COMMENT '咨询中心名称'
)
comment '客户意向dwm表'
PARTITIONED BY(yearinfo STRING,monthinfo STRING,dayinfo STRING)
clustered by(customer_id) sorted by(customer_id) into 10 buckets
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as ORC
TBLPROPERTIES ('orc.compress'='SNAPPY');
  • DWS层:
CREATE TABLE IF NOT EXISTS itcast_dws.itcast_intention_dws (
   `customer_total` INT COMMENT '聚合意向客户数',
   `area` STRING COMMENT '区域信息',
   `itcast_school_id` STRING COMMENT '校区id',
   `itcast_school_name` STRING COMMENT '校区名称',
   `origin_type` STRING COMMENT '来源渠道',
   `itcast_subject_id` STRING COMMENT '学科id',
   `itcast_subject_name` STRING COMMENT '学科名称',
   `hourinfo` STRING COMMENT '小时信息',
   `origin_type_stat` STRING COMMENT '数据来源:0.线下；1.线上',
   `clue_state_stat` STRING COMMENT '客户属性：0.老客户；1.新客户',
   `tdepart_id` STRING COMMENT '创建者部门id',
   `tdepart_name` STRING COMMENT '咨询中心名称',
   `time_str` STRING COMMENT '时间明细',
   `groupType` STRING COMMENT '产品属性类别：1.总意向量；2.区域信息；3.校区、学科组合分组；4.来源渠道；5.咨询中心;',
   `time_type` STRING COMMENT '时间维度：1、按小时聚合；2、按天聚合；3、按周聚合；4、按月聚合；5、按年聚合；'
)
comment '客户意向dws表'
PARTITIONED BY(yearinfo STRING,monthinfo STRING,dayinfo STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='SNAPPY');

5.6 数据采集

指的: 将业务库中的数据一对一导入到ODS层的对应表中

  • DIM层:
# 客户表
sqoop import \
--connect jdbc:mysql://192.168.52.150:3306/scrm \
--username root \
--password 123456 \
--query 'SELECT 
  *, "2021-09-27" AS start_time
FROM customer where 1=1 and $CONDITIONS' \
--hcatalog-database itcast_dimen \
--hcatalog-table customer \
-m 1 

# 学科表:
sqoop import \
--connect jdbc:mysql://192.168.52.150:3306/scrm \
--username root \
--password 123456 \
--query 'SELECT 
  *, "2021-09-27" AS start_time
FROM itcast_subject where 1=1 and $CONDITIONS' \
--hcatalog-database itcast_dimen \
--hcatalog-table itcast_subject \
-m 1 

# 校区表:
sqoop import \
--connect jdbc:mysql://192.168.52.150:3306/scrm \
--username root \
--password 123456 \
--query 'SELECT 
  *, "2021-09-27" AS start_time
FROM itcast_school where 1=1 and $CONDITIONS' \
--hcatalog-database itcast_dimen \
--hcatalog-table itcast_school \
-m 1 

# 员工表
sqoop import \
--connect jdbc:mysql://192.168.52.150:3306/scrm \
--username root \
--password 123456 \
--query 'SELECT 
  *, "2021-09-27" AS start_time
FROM employee where 1=1 and $CONDITIONS' \
--hcatalog-database itcast_dimen \
--hcatalog-table employee \
-m 1

# 部门表
sqoop import \
--connect jdbc:mysql://192.168.52.150:3306/scrm \
--username root \
--password 123456 \
--query 'SELECT 
  *, "2021-09-27" AS start_time
FROM scrm_department where 1=1 and $CONDITIONS' \
--hcatalog-database itcast_dimen \
--hcatalog-table scrm_department \
-m 1
  • ODS层:
-- 客户意向表
-- 第一步: 创建一张客户意向表的临时表
CREATE TABLE IF NOT EXISTS itcast_ods.`customer_relationship_temp` (
  `id` int COMMENT '客户关系id',
  `create_date_time` STRING COMMENT '创建时间',
  `update_date_time` STRING COMMENT '最后更新时间',
  `deleted` int COMMENT '是否被删除（禁用）',
  `customer_id` int COMMENT '所属客户id',
  `first_id` int COMMENT '第一条客户关系id',
  `belonger` int COMMENT '归属人',
  `belonger_name` STRING COMMENT '归属人姓名',
  `initial_belonger` int COMMENT '初始归属人',
  `distribution_handler` int COMMENT '分配处理人',
  `business_scrm_department_id` int COMMENT '归属部门',
  `last_visit_time` STRING COMMENT '最后回访时间',
  `next_visit_time` STRING COMMENT '下次回访时间',
  `origin_type` STRING COMMENT '数据来源',
  `itcast_school_id` int COMMENT '校区Id',
  `itcast_subject_id` int COMMENT '学科Id',
  `intention_study_type` STRING COMMENT '意向学习方式',
  `anticipat_signup_date` STRING COMMENT '预计报名时间',
  `level` STRING COMMENT '客户级别',
  `creator` int COMMENT '创建人',
  `current_creator` int COMMENT '当前创建人：初始==创建人，当在公海拉回时为 拉回人',
  `creator_name` STRING COMMENT '创建者姓名',
  `origin_channel` STRING COMMENT '来源渠道',
  `comment` STRING COMMENT '备注',
  `first_customer_clue_id` int COMMENT '第一条线索id',
  `last_customer_clue_id` int COMMENT '最后一条线索id',
  `process_state` STRING COMMENT '处理状态',
  `process_time` STRING COMMENT '处理状态变动时间',
  `payment_state` STRING COMMENT '支付状态',
  `payment_time` STRING COMMENT '支付状态变动时间',
  `signup_state` STRING COMMENT '报名状态',
  `signup_time` STRING COMMENT '报名时间',
  `notice_state` STRING COMMENT '通知状态',
  `notice_time` STRING COMMENT '通知状态变动时间',
  `lock_state` STRING COMMENT '锁定状态',
  `lock_time` STRING COMMENT '锁定状态修改时间',
  `itcast_clazz_id` int COMMENT '所属ems班级id',
  `itcast_clazz_time` STRING COMMENT '报班时间',
  `payment_url` STRING COMMENT '付款链接',
  `payment_url_time` STRING COMMENT '支付链接生成时间',
  `ems_student_id` int COMMENT 'ems的学生id',
  `delete_reason` STRING COMMENT '删除原因',
  `deleter` int COMMENT '删除人',
  `deleter_name` STRING COMMENT '删除人姓名',
  `delete_time` STRING COMMENT '删除时间',
  `course_id` int COMMENT '课程ID',
  `course_name` STRING COMMENT '课程名称',
  `delete_comment` STRING COMMENT '删除原因说明',
  `close_state` STRING COMMENT '关闭装填',
  `close_time` STRING COMMENT '关闭状态变动时间',
  `appeal_id` int COMMENT '申诉id',
  `tenant` int COMMENT '租户',
  `total_fee` DECIMAL COMMENT '报名费总金额',
  `belonged` int COMMENT '小周期归属人',
  `belonged_time` STRING COMMENT '归属时间',
  `belonger_time` STRING COMMENT '归属时间',
  `transfer` int COMMENT '转移人',
  `transfer_time` STRING COMMENT '转移时间',
  `follow_type` int COMMENT '分配类型，0-自动分配，1-手动分配，2-自动转移，3-手动单个转移，4-手动批量转移，5-公海领取',
  `transfer_bxg_oa_account` STRING COMMENT '转移到博学谷归属人OA账号',
  `transfer_bxg_belonger_name` STRING COMMENT '转移到博学谷归属人OA姓名',
  `end_time` STRING COMMENT '有效截止时间')
comment '客户关系表'
PARTITIONED BY(start_time STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='ZLIB');

-- 第二步: 编写sqoop命令 将数据导入到临时表
sqoop import \
--connect jdbc:mysql://192.168.52.150:3306/scrm \
--username root \
--password 123456 \
--query 'SELECT 
  *, "9999-12-31" as end_time , "2021-09-27" AS start_time
FROM customer_relationship where 1=1 and $CONDITIONS' \
--hcatalog-database itcast_ods \
--hcatalog-table customer_relationship_temp \
-m 1

-- 第三步: 执行 insert into + select 导入到目标表
-- 动态分区配置
set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;
-- hive压缩
set hive.exec.compress.intermediate=true;
set hive.exec.compress.output=true;
-- 写入时压缩生效
set hive.exec.orc.compression.strategy=COMPRESSION;

insert into table itcast_ods.customer_relationship partition(start_time)
select * from itcast_ods.customer_relationship_temp;

客户线索表

-- 第一步: 创建客户线索表的临时表
CREATE TABLE IF NOT EXISTS itcast_ods.customer_clue_temp (
  id int COMMENT 'customer_clue_id',
  create_date_time STRING COMMENT '创建时间',
  update_date_time STRING COMMENT '最后更新时间',
  deleted STRING COMMENT '是否被删除（禁用）',
  customer_id int COMMENT '客户id',
  customer_relationship_id int COMMENT '客户关系id',
  session_id STRING COMMENT '七陌会话id',
  sid STRING COMMENT '访客id',
  status STRING COMMENT '状态（undeal待领取 deal 已领取 finish 已关闭 changePeer 已流转）',
  users STRING COMMENT '所属坐席',
  create_time STRING COMMENT '七陌创建时间',
  platform STRING COMMENT '平台来源 （pc-网站咨询|wap-wap咨询|sdk-app咨询|weixin-微信咨询）',
  s_name STRING COMMENT '用户名称',
  seo_source STRING COMMENT '搜索来源',
  seo_keywords STRING COMMENT '关键字',
  ip STRING COMMENT 'IP地址',
  referrer STRING COMMENT '上级来源页面',
  from_url STRING COMMENT '会话来源页面',
  landing_page_url STRING COMMENT '访客着陆页面',
  url_title STRING COMMENT '咨询页面title',
  to_peer STRING COMMENT '所属技能组',
  manual_time STRING COMMENT '人工开始时间',
  begin_time STRING COMMENT '坐席领取时间 ',
  reply_msg_count int COMMENT '客服回复消息数',
  total_msg_count int COMMENT '消息总数',
  msg_count int COMMENT '客户发送消息数',
  comment STRING COMMENT '备注',
  finish_reason STRING COMMENT '结束类型',
  finish_user STRING COMMENT '结束坐席',
  end_time STRING COMMENT '会话结束时间',
  platform_description STRING COMMENT '客户平台信息',
  browser_name STRING COMMENT '浏览器名称',
  os_info STRING COMMENT '系统名称',
  area STRING COMMENT '区域',
  country STRING COMMENT '所在国家',
  province STRING COMMENT '省',
  city STRING COMMENT '城市',
  creator int COMMENT '创建人',
  name STRING COMMENT '客户姓名',
  idcard STRING COMMENT '身份证号',
  phone STRING COMMENT '手机号',
  itcast_school_id int COMMENT '校区Id',
  itcast_school STRING COMMENT '校区',
  itcast_subject_id int COMMENT '学科Id',
  itcast_subject STRING COMMENT '学科',
  wechat STRING COMMENT '微信',
  qq STRING COMMENT 'qq号',
  email STRING COMMENT '邮箱',
  gender STRING COMMENT '性别',
  level STRING COMMENT '客户级别',
  origin_type STRING COMMENT '数据来源渠道',
  information_way STRING COMMENT '资讯方式',
  working_years STRING COMMENT '开始工作时间',
  technical_directions STRING COMMENT '技术方向',
  customer_state STRING COMMENT '当前客户状态',
  valid STRING COMMENT '该线索是否是网资有效线索',
  anticipat_signup_date STRING COMMENT '预计报名时间',
  clue_state STRING COMMENT '线索状态',
  scrm_department_id int COMMENT 'SCRM内部部门id',
  superior_url STRING COMMENT '诸葛获取上级页面URL',
  superior_source STRING COMMENT '诸葛获取上级页面URL标题',
  landing_url STRING COMMENT '诸葛获取着陆页面URL',
  landing_source STRING COMMENT '诸葛获取着陆页面URL来源',
  info_url STRING COMMENT '诸葛获取留咨页URL',
  info_source STRING COMMENT '诸葛获取留咨页URL标题',
  origin_channel STRING COMMENT '投放渠道',
  course_id int COMMENT '课程编号',
  course_name STRING COMMENT '课程名称',
  zhuge_session_id STRING COMMENT 'zhuge会话id',
  is_repeat int COMMENT '是否重复线索(手机号维度) 0:正常 1：重复',
  tenant int COMMENT '租户id',
  activity_id STRING COMMENT '活动id',
  activity_name STRING COMMENT '活动名称',
  follow_type int COMMENT '分配类型，0-自动分配，1-手动分配，2-自动转移，3-手动单个转移，4-手动批量转移，5-公海领取',
  shunt_mode_id int COMMENT '匹配到的技能组id',
  shunt_employee_group_id int COMMENT '所属分流员工组',
  ends_time STRING COMMENT '有效时间')
comment '客户关系表'
PARTITIONED BY(starts_time STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as orc
TBLPROPERTIES ('orc.compress'='ZLIB');

-- 第二步: 编写sqoop命令 将数据导入到临时表
sqoop import \
--connect jdbc:mysql://192.168.52.150:3306/scrm \
--username root \
--password 123456 \
--query 'SELECT 
  id,create_date_time,update_date_time,deleted,customer_id,customer_relationship_id,session_id,sid,status,user as users,create_time,platform,s_name,seo_source,seo_keywords,ip,referrer,from_url,landing_page_url,url_title,to_peer,manual_time,begin_time,reply_msg_count,total_msg_count,msg_count,comment,finish_reason,finish_user,end_time,platform_description,browser_name,os_info,area,country,province,city,creator,name,"-1" as idcard,"-1" as phone,itcast_school_id,itcast_school,itcast_subject_id,itcast_subject,"-1" as wechat,"-1" as qq,"-1" as email,gender,level,origin_type,information_way,working_years,technical_directions,customer_state,valid,anticipat_signup_date,clue_state,scrm_department_id,superior_url,superior_source,landing_url,landing_source,info_url,info_source,origin_channel,course_id,course_name,zhuge_session_id,is_repeat,tenant,activity_id,activity_name,follow_type,shunt_mode_id,shunt_employee_group_id, "9999-12-31" as ends_time , "2021-09-27" AS starts_time
FROM customer_clue where 1=1 and $CONDITIONS' \
--hcatalog-database itcast_ods \
--hcatalog-table customer_clue_temp \
-m 1

-- 第三步:  通过 insert into + select 导入到目标表
insert into table itcast_ods.customer_clue partition(starts_time)
select * from itcast_ods.customer_clue_temp;

5.7 清洗转换操作

5.7.1 生成DWD层数据

作用: 清洗 和 转换 以及少量的维度退化

编写SQL:

select  
    id as rid,
    customer_id,
    create_date_time,
    if(itcast_school_id is null OR itcast_school_id = 0 , '-1',itcast_school_id) as itcast_school_id, 
    deleted,
    origin_type,
    if(itcast_subject_id is not null, if(itcast_subject_id != 0,itcast_subject_id,'-1'),'-1') as itcast_subject_id, 
    creator,
    substr(create_date_time,12,2) as hourinfo, 
    if(origin_type in('NETSERVICE','PRESIGNUP'),'1','0') as origin_type_stat,
    substr(create_date_time,1,4) as yearinfo,
    substr(create_date_time,6,2) as monthinfo,
    substr(create_date_time,9,2) as dayinfo 

from itcast_ods.customer_relationship where deleted = 0 ;

将转换的SQL的结果保存到DWD层表中 (此操作, 并未执行, 而是执行后续的采样SQL)

insert  into table itcast_dwd.itcast_intention_dwd partition(yearinfo,monthinfo,dayinfo)
select  
    id as rid,
    customer_id,
    create_date_time,
    if(itcast_school_id is null OR itcast_school_id = 0 , '-1',itcast_school_id) as itcast_school_id, 
    deleted,
    origin_type,
    if(itcast_subject_id is not null, if(itcast_subject_id != 0,itcast_subject_id,'-1'),'-1') as itcast_subject_id, 
    creator,
    substr(create_date_time,12,2) as hourinfo, 
    if(origin_type in('NETSERVICE','PRESIGNUP'),'1','0') as origin_type_stat,
    substr(create_date_time,1,4) as yearinfo,
    substr(create_date_time,6,2) as monthinfo,
    substr(create_date_time,9,2) as dayinfo 

from itcast_ods.customer_relationship  where deleted = 0 ;

如果希望在灌入到DWD层的时候, 对数据进行采样操作: 比如只想要第5个桶

explain
insert  into table itcast_dwd.itcast_intention_dwd partition(yearinfo,monthinfo,dayinfo)
select  
    id as rid,
    customer_id,
    create_date_time,
    if(itcast_school_id is null OR itcast_school_id = 0 , '-1',itcast_school_id) as itcast_school_id, 
    deleted,
    origin_type,
    if(itcast_subject_id is not null, if(itcast_subject_id != 0,itcast_subject_id,'-1'),'-1') as itcast_subject_id, 
    creator,
    substr(create_date_time,12,2) as hourinfo, 
    if(origin_type in('NETSERVICE','PRESIGNUP'),'1','0') as origin_type_stat,
    substr(create_date_time,1,4) as yearinfo,
    substr(create_date_time,6,2) as monthinfo,
    substr(create_date_time,9,2) as dayinfo 

from itcast_ods.customer_relationship tablesample(bucket 5 out of 10 on id) where deleted = 0 ;

 黑马在线教育数仓实战5-LMLPHP

执行采样导入到DWD层

--分区
SET hive.exec.dynamic.partition=true;
SET hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.max.dynamic.partitions.pernode=10000;
set hive.exec.max.dynamic.partitions=100000;
set hive.exec.max.created.files=150000;
--hive压缩
set hive.exec.compress.intermediate=true;
set hive.exec.compress.output=true;
--写入时压缩生效
set hive.exec.orc.compression.strategy=COMPRESSION;
--分桶
set hive.enforce.bucketing=true; -- 开启分桶支持, 默认就是true
set hive.enforce.sorting=true; -- 开启强制排序

insert  into table itcast_dwd.itcast_intention_dwd partition(yearinfo,monthinfo,dayinfo)
select  
    id as rid,
    customer_id,
    create_date_time,
    if(itcast_school_id is null OR itcast_school_id = 0 , '-1',itcast_school_id) as itcast_school_id, 
    deleted,
    origin_type,
    if(itcast_subject_id is not null, if(itcast_subject_id != 0,itcast_subject_id,'-1'),'-1') as itcast_subject_id, 
    creator,
    substr(create_date_time,12,2) as hourinfo, 
    if(origin_type in('NETSERVICE','PRESIGNUP'),'1','0') as origin_type_stat,
    substr(create_date_time,1,4) as yearinfo,
    substr(create_date_time,6,2) as monthinfo,
    substr(create_date_time,9,2) as dayinfo 

from itcast_ods.customer_relationship tablesample(bucket 5 out of 10 on id) where deleted = 0 ;

5.7.2 生成DWM层数据

​ 由于DWM层的字段是来源于事实表和所有维度表中的字段, 此时如果生成DWM层数据, 必须要先将所有的表关联在一起

  • SQL实现
select  
    iid.customer_id,
    iid.create_date_time,
    c.area,
    iid.itcast_school_id,
    sch.name as itcast_school_name,
    iid.deleted,
    iid.origin_type,
    iid.itcast_subject_id,
    sub.name as itcast_subject_name,
    iid.hourinfo,
    iid.origin_type_stat,
    -- if(cc.clue_state = 'VALID_NEW_CLUES',1,if(cc.clue_state = 'VALID_PUBLIC_NEW_CLUE','0','-1')) as clue_state_stat, -- 此处有转换
    case cc.clue_state 
        when 'VALID_NEW_CLUES' then '1'
        when 'VALID_PUBLIC_NEW_CLUE' then '0'
        else '-1' 
    end as clue_state_stat,
    emp.tdepart_id,
    dept.name as tdepart_name,
    iid.yearinfo,
    iid.monthinfo,
    iid.dayinfo
from itcast_dwd.itcast_intention_dwd  iid
    left join itcast_ods.customer_clue cc on cc.customer_relationship_id = iid.rid
    left join itcast_dimen.customer c on  iid.customer_id = c.id
    left join itcast_dimen.itcast_subject sub on  iid.itcast_subject_id = sub.id
    left join itcast_dimen.itcast_school sch  on iid.itcast_school_id = sch.id
    left join itcast_dimen.employee emp on iid.creator = emp.id
    left join itcast_dimen.scrm_department dept on emp.tdepart_id = dept.id;

查看这条SQL语句, 相关的优化是否执行了呢?

开启优化: 
--分区
SET hive.exec.dynamic.partition=true;
SET hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.max.dynamic.partitions.pernode=10000;
set hive.exec.max.dynamic.partitions=100000;
set hive.exec.max.created.files=150000;
--hive压缩
set hive.exec.compress.intermediate=true;
set hive.exec.compress.output=true;
--写入时压缩生效
set hive.exec.orc.compression.strategy=COMPRESSION;
--分桶
set hive.enforce.bucketing=true; -- 开启分桶支持, 默认就是true
set hive.enforce.sorting=true; -- 开启强制排序

-- 优化: 
set hive.auto.convert.join=true;  -- map join
set hive.optimize.bucketmapjoin = true; -- 开启 bucket map join
-- 开启SMB map join
set hive.auto.convert.sortmerge.join=true;
set hive.auto.convert.sortmerge.join.noconditionaltask=true;
-- 写入数据强制排序
set hive.enforce.sorting=true;
set hive.optimize.bucketmapjoin.sortedmerge = true; -- 开启自动尝试SMB连接


通过 执行计划, 查看是否生效: explain

黑马在线教育数仓实战5-LMLPHP

除了这个SMB 优化生效后, 其他的表的都是存在有map join的方案

黑马在线教育数仓实战5-LMLPHP

最后执行SQL, 查看是否可以正常执行:

set hive.auto.convert.join=false; 
set hive.optimize.bucketmapjoin = false; 

set hive.auto.convert.sortmerge.join=false;
set hive.auto.convert.sortmerge.join.noconditionaltask=false;

set hive.enforce.sorting=false;

set hive.optimize.bucketmapjoin.sortedmerge = false;

最终: 将查询出来的数据灌入到目标表即可

--分区
SET hive.exec.dynamic.partition=true;
SET hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.max.dynamic.partitions.pernode=10000;
set hive.exec.max.dynamic.partitions=100000;
set hive.exec.max.created.files=150000;
--hive压缩
set hive.exec.compress.intermediate=true;
set hive.exec.compress.output=true;
--写入时压缩生效
set hive.exec.orc.compression.strategy=COMPRESSION;
--分桶
set hive.enforce.bucketing=true; -- 开启分桶支持, 默认就是true
set hive.enforce.sorting=true; -- 开启强制排序

-- 优化: 
set hive.auto.convert.join=false;  -- map join
set hive.optimize.bucketmapjoin = false; -- 开启 bucket map join
-- 开启SMB map join
set hive.auto.convert.sortmerge.join=false;
set hive.auto.convert.sortmerge.join.noconditionaltask=false;
-- 写入数据强制排序
set hive.enforce.sorting=false;
-- 开启自动尝试SMB连接
set hive.optimize.bucketmapjoin.sortedmerge = false; 

insert into table itcast_dwm.itcast_intention_dwm partition(yearinfo,monthinfo,dayinfo)
select  
    iid.customer_id,
    iid.create_date_time,
    c.area,
    iid.itcast_school_id,
    sch.name as itcast_school_name,
    iid.deleted,
    iid.origin_type,
    iid.itcast_subject_id,
    sub.name as itcast_subject_name,
    iid.hourinfo,
    iid.origin_type_stat,
    -- if(cc.clue_state = 'VALID_NEW_CLUES',1,if(cc.clue_state = 'VALID_PUBLIC_NEW_CLUE','0','-1')) as clue_state_stat, -- 此处有转换
    case cc.clue_state 
        when 'VALID_NEW_CLUES' then '1'
        when 'VALID_PUBLIC_NEW_CLUE' then '0'
        else '-1' 
    end as clue_state_stat,
    emp.tdepart_id,
    dept.name as tdepart_name,
    iid.yearinfo,
    iid.monthinfo,
    iid.dayinfo
from itcast_dwd.itcast_intention_dwd  iid
    left join itcast_ods.customer_clue cc on cc.customer_relationship_id = iid.rid
    left join itcast_dimen.customer c on  iid.customer_id = c.id
    left join itcast_dimen.itcast_subject sub on  iid.itcast_subject_id = sub.id
    left join itcast_dimen.itcast_school sch  on iid.itcast_school_id = sch.id
    left join itcast_dimen.employee emp on iid.creator = emp.id
    left join itcast_dimen.scrm_department dept on emp.tdepart_id = dept.id;

5.8 统计分析操作

​ 目的: 生产DWS层的数据, 数据来源于DWM

  • 统计总意向量
-- 统计每年 线上线下 新老用户的总意向量
insert into table itcast_dws.itcast_intention_dws partition(yearinfo,monthinfo,dayinfo)
select 
    count( distinct customer_id) as customer_total, 
    '-1' as area,
    '-1' as itcast_school_id,
    '-1' as itcast_school_name,
    '-1' as origin_type,
    '-1' as itcast_subject_id,
    '-1' as itcast_subject_name,
    '-1' as hourinfo,
    origin_type_stat,
    clue_state_stat,
    '-1' as tdepart_id,
    '-1' as tdepart_name,
    yearinfo as time_str,
    '1' as grouptype,
    '5' as time_type,
    yearinfo,
    '-1' as monthinfo,
    '-1' as dayinfo
from itcast_dwm.itcast_intention_dwm
group by yearinfo,origin_type_stat,clue_state_stat;

-- 统计每年每月 线上线下 新老用户的总意向量
insert into table itcast_dws.itcast_intention_dws partition(yearinfo,monthinfo,dayinfo)
select 
    count( distinct customer_id) as customer_total, 
    '-1' as area,
    '-1' as itcast_school_id,
    '-1' as itcast_school_name,
    '-1' as origin_type,
    '-1' as itcast_subject_id,
    '-1' as itcast_subject_name,
    '-1' as hourinfo,
    origin_type_stat,
    clue_state_stat,
    '-1' as tdepart_id,
    '-1' as tdepart_name,
    concat(yearinfo,'-',monthinfo) as time_str,
    '1' as grouptype,
    '4' as time_type,
    yearinfo,
    monthinfo,
    '-1' as dayinfo
from itcast_dwm.itcast_intention_dwm
group by yearinfo,monthinfo,origin_type_stat,clue_state_stat;
-- 统计每年每月每日 线上线下 新老用户的总意向量
insert into table itcast_dws.itcast_intention_dws partition(yearinfo,monthinfo,dayinfo)
select 
    count( distinct customer_id) as customer_total, 
    '-1' as area,
    '-1' as itcast_school_id,
    '-1' as itcast_school_name,
    '-1' as origin_type,
    '-1' as itcast_subject_id,
    '-1' as itcast_subject_name,
    '-1' as hourinfo,
    origin_type_stat,
    clue_state_stat,
    '-1' as tdepart_id,
    '-1' as tdepart_name,
    concat(yearinfo,'-',monthinfo,'-',dayinfo) as time_str,
    '1' as grouptype,
    '2' as time_type,
    yearinfo,
    monthinfo,
    dayinfo
from itcast_dwm.itcast_intention_dwm
group by yearinfo,monthinfo,dayinfo,origin_type_stat,clue_state_stat;
-- 统计每年每月每日每小时 线上线下 新老用户的总意向量
insert into table itcast_dws.itcast_intention_dws partition(yearinfo,monthinfo,dayinfo)
select 
    count( distinct customer_id) as customer_total, 
    '-1' as area,
    '-1' as itcast_school_id,
    '-1' as itcast_school_name,
    '-1' as origin_type,
    '-1' as itcast_subject_id,
    '-1' as itcast_subject_name,
    hourinfo,
    origin_type_stat,
    clue_state_stat,
    '-1' as tdepart_id,
    '-1' as tdepart_name,
    concat(yearinfo,'-',monthinfo,'-',dayinfo,' ',hourinfo) as time_str,
    '1' as grouptype,
    '1' as time_type,
    yearinfo,
    monthinfo,
    dayinfo
from itcast_dwm.itcast_intention_dwm
group by yearinfo,monthinfo,dayinfo,hourinfo,origin_type_stat,clue_state_stat;
  • 统计 咨询中心维度
-- 统计每年线上线下, 新老用户产生各个咨询中心的意向量
insert into table itcast_dws.itcast_intention_dws partition(yearinfo,monthinfo,dayinfo)
select 
    count( distinct customer_id) as customer_total, 
    '-1' as area,
    '-1' as itcast_school_id,
    '-1' as itcast_school_name,
    '-1' as origin_type,
    '-1' as itcast_subject_id,
    '-1' as itcast_subject_name,
    '-1' as hourinfo,
    origin_type_stat,
    clue_state_stat,
    tdepart_id,
    tdepart_name,
    yearinfo as time_str,
    '5' as grouptype,
    '5' as time_type,
    yearinfo,
    '-1' as monthinfo,
    '-1' as dayinfo
from itcast_dwm.itcast_intention_dwm
group by yearinfo,origin_type_stat,clue_state_stat,tdepart_id,tdepart_name;

5.9 数据导出操作

​ 指的: 从DWS层将数据导出到MYSQL中

  • 第一步: 在mysql中创建目标表
CREATE TABLE IF NOT EXISTS scrm_bi.itcast_intention (
   `customer_total` INT COMMENT '聚合意向客户数',
   `area` varchar(100) COMMENT '区域信息',
   `itcast_school_id` varchar(100) COMMENT '校区id',
   `itcast_school_name` varchar(100) COMMENT '校区名称',
   `origin_type` varchar(100) COMMENT '来源渠道',
   `itcast_subject_id` varchar(100) COMMENT '学科id',
   `itcast_subject_name` varchar(100) COMMENT '学科名称',
   `hourinfo` varchar(100) COMMENT '小时信息',
   `origin_type_stat` varchar(100) COMMENT '数据来源:0.线下；1.线上',
   `clue_state_stat` varchar(100) COMMENT '客户属性：0.老客户；1.新客户',
   `tdepart_id` varchar(100) COMMENT '创建者部门id',
   `tdepart_name` varchar(100) COMMENT '咨询中心名称',
   `time_str` varchar(100) COMMENT '时间明细',
   `groupType` varchar(100) COMMENT '产品属性类别：1.总意向量；2.区域信息；3.校区、学科组合分组；4.来源渠道；5.咨询中心;',
   `time_type` varchar(100) COMMENT '时间维度：1、按小时聚合；2、按天聚合；3、按周聚合；4、按月聚合；5、按年聚合；',
    yearinfo varchar(100) COMMENT '年' ,
    monthinfo varchar(100) COMMENT '月',
    dayinfo varchar(100) COMMENT '日'
)
comment '客户意向dws表';
  • 第二步:执行sqoop, 将数据全部到导出 MySQL中
sqoop export \
--connect "jdbc:mysql://192.168.52.150:3306/scrm_bi?useUnicode=true&characterEncoding=utf-8" \
--username root \
--password 123456 \
--table itcast_intention \
--hcatalog-database itcast_dws \
--hcatalog-table itcast_intention_dws \
-m 1
04-13 17:53
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