一、创建拉链表

• 创建表

  CREATE TABLE `ods_login`(                          |
  |   `uid` string,                                    |
  |   `name` string,                                   |
  |   `phone` string,                                  |
  |   `date` string)                                   |
  | PARTITIONED BY (                                   |
  |   `dt` string)                                     |
  | ROW FORMAT SERDE                                   |
  |   'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'  |
  | WITH SERDEPROPERTIES (                             |
  |   'field.delim'=',',                               |
  |   'serialization.format'=',')                      |
  | STORED AS INPUTFORMAT                              |
  |   'org.apache.hadoop.mapred.TextInputFormat'       |
  | OUTPUTFORMAT                                       |
  |   'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' |
  | LOCATION                                           |
  |   'hdfs://namenode:8020/user/hive/warehouse/ods.db/ods_login' |
  | TBLPROPERTIES (                                    |
  |   'transient_lastDdlTime'='1645972509')        

   

• 测试数据

  -- 2022-02-24.dat
  0001,mike,1398836123,2022-02-24
  0002,lucy,1396542122,2022-02-24
  0003,jack,1398836145,2022-02-24
  0004,baran,1398836178,2022-02-24
  
  -- 2022-02-25.dat, 增量数据
  0001,mike,1398836241,2022-02-25
  0004,baran,1398836756,2022-02-25
  0005,xinyi,1398836549,2022-02-25

   

• 创建dz表

  +----------------------------------------------------+
  | CREATE TABLE `dim_user_dz`(                        |
  |   `uid` string,                                    |
  |   `name` string,                                   |
  |   `phone` string,                                  |
  |   `date` string,                                   |
  |   `start_date` string, --开始日期                            |
  |   `end_date` string)   --结束日期                            |
  | PARTITIONED BY (                                   |
  |   `dt` string)                                     |
  | ROW FORMAT SERDE                                   |
  |   'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'  |
  | STORED AS INPUTFORMAT                              |
  |   'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat'  |
  | OUTPUTFORMAT                                       |
  |   'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat' |
  | LOCATION                                           |
  |   'hdfs://namenode:8020/user/hive/warehouse/ods.db/dim_user_dz' |
  | TBLPROPERTIES (                                    |
  |   'transient_lastDdlTime'='1645973732')            |
  +----------------------------------------------------+

• 拉链表创建思路

　　　　1）假如首日是2022-02-24，首先将数据从ods层加载到dim层，分区日期和结束日期都为9999-00-00

　　　　2）第二日2022-02-25，一部分用户新增变化，需要把新增的和变化的装载到dim层，分区结束日期是9999分区，但要注意9999分区有一部分过期数据（过期理解为数据发生了变化后，变化前的数据是过期数据）需要装载到变化前一日即5月1日分区(过期的用户数据分区），就是将过期数据装载到前一日分区，有效数据是9999分区；

　　　　3）第三日2022-02-26，和25日一样，新增数据放入9999分区，过期数据放入前一日分区；

　　

• SQL语句实现

  -- 首日加载
  INSERT INTO dim_user_dz PARTITION(dt='9999-00-00')
  SELECT 
      uid,
      name,
      phone,
      `date`,
      '2022-02-24',
      '9999-00-00'
  FROM ods_login
  WHERE dt = '2022-02-24';
  
  -- 每日装载
  -- 首先找出9999的数据与增量数据做外连接, 这里创建一张临时表
  CREATE TABLE tmp_20220225 AS 
  SELECT *
  FROM (
  SELECT 
      uid as old_uid, 
      name as old_name, 
      phone as old_phone, 
      `date` as old_date, 
      start_date as old_start_date, 
      end_date as old_end_date
  FROM dim_user_dz
  WHERE dt = '9999-00-00'
  ) t1 LEFT OUTER JOIN (
  SELECT uid, name, phone, `date`,'2022-02-25' as start_date,'9999-00-00' as end_date
  FROM ods_login
  WHERE dt = '2022-02-25'
  ) t2
  ON t1.old_uid = t2.uid;
  
  -- 获取全量最新数据和过期数据，动态分区写入
  set hive.exec.dynamic.partition.mode=nonstrict;
  INSERT OVERWRITE TABLE dim_user_dz PARTITION(dt)
  SELECT 
      nvl(uid, old_uid) as uid,
      nvl(name, old_name) as name,
      nvl(phone, old_phone) as phone,
      nvl(`date`, old_date) as `date`,
      nvl(start_date, old_start_date) as start_date,
      nvl(end_date, old_end_date) as end_date,
      nvl(end_date, old_end_date) as dt
  FROM tmp_20220225
  UNION ALL
  SELECT 
      old_uid as uid,
      old_name as name,
      old_phone as phone,
      old_date as `date`,
      old_start_date as start_date,
      cast(date_sub('2022-02-25', 1) as string) as end_date,
      cast(date_sub('2022-02-25', 1) as string) as dt
  FROM tmp_20220225
  WHERE uid is not null and old_uid is not null;

   

  　　　　

 

　

 

二、拉链表回滚