-- This example demonstrates Type 2 Slowly Changing Dimensions in Hive.
-- Be sure to stage data in before starting (load_data.sh)
drop database if exists type2_test cascade;
create database type2_test;
use type2_test;
-- Create the Hive managed table for our contacts. We track a start and end date.
create table contacts_target(id int, name string, email string, state string, valid_from date, valid_to date)
clustered by (id) into 2 buckets stored as orc tblproperties("transactional"="true");
-- Create an external table pointing to our initial data load (1000 records)
create external table contacts_initial_stage(id int, name string, email string, state string)
row format delimited fields terminated by ',' stored as textfile
location '/tmp/merge_data/initial_stage';
-- Copy the initial load into the managed table. We hard code the valid_from dates to the beginning of 2017.
insert into contacts_target select *, cast('2017-01-01' as date), cast(null as date) from contacts_initial_stage;
-- Create an external table pointing to our refreshed data load (1100 records)
create external table contacts_update_stage(id int, name string, email string, state string)
row format delimited fields terminated by ',' stored as textfile
location '/tmp/merge_data/update_stage';
-- Perform the Type 2 SCD.
merge into contacts_target
using (
-- The base staging data.
select
contacts_update_stage.id as join_key,
contacts_update_stage.* from contacts_update_stage
union all
-- Generate an extra row for changed records.
-- The null join_key means it will be inserted.
select
null, contacts_update_stage.*
from
contacts_update_stage join contacts_target on contacts_update_stage.id = contacts_target.id
where
( contacts_update_stage.email <> contacts_target.email or contacts_update_stage.state <> contacts_target.state )
and contacts_target.valid_to is null
) sub
on sub.join_key = contacts_target.id
when matched and contacts_target.valid_to is null
and sub.email <> contacts_target.email or sub.state <> contacts_target.state
then update set valid_to = current_date() //旧用户的信息发生了改变，则将旧信息的有限期时间改为当前
when not matched and sub.join_key is null //改变了信息的旧用户（join_key为null而匹配不上），将旧用户的最新信息数据插入
then insert values (sub.id, sub.name, sub.email, sub.state, contacts_target.valid_from, current_date(), null);
when not matched and sub.join_key is not null //新用户(join_key有值但匹配不上)
then insert values (sub.id, sub.name, sub.email, sub.state, current_date(),current_date(), null);
-- Confirm 92 records are expired.
select count(*) from contacts_target where valid_to is not null;
-- Confirm we now have 1192 records.
select count(*) from contacts_target;
-- View one of the changed records.
select * from contacts_target where id = 12;