【累积型快照事实表】订单表

1、concat

concat函数在连接字符串的时候,只要其中一个是NULL,那么将返回NULL

hive> select concat('a','b');
ab

hive> select concat('a','b',null);
NULL

2、concat_ws

concat_ws函数在连接字符串的时候,只要有一个字符串不是NULL,就不会返回NULL。

concat_ws函数需要指定分隔符。

hive> select concat_ws('-','a','b');
a-b

hive> select concat_ws('-','a','b',null);
a-b

hive> select concat_ws('','a','b',null);
ab

3、STR_TO_MAP

  • 语法

STR_TO_MAP(VARCHAR text, VARCHAR listDelimiter, VARCHAR keyValueDelimiter)

  • 功能
  1. 使用listDelimiter将text分隔成K-V对,
  2. 然后使用keyValueDelimiter分隔每个K-V对,组装成MAP返回。
  3. 默认listDelimiter为( ,)keyValueDelimiter为(=)
  • 案例
str_to_map('1001=2020-03-10,1002=2020-03-10',  ','  ,  '=')
输出
{"1001":"2020-03-10","1002":"2020-03-10"}

4、案例

第一步:

hive> select order_id, concat(order_status,'=', operate_time) from order_status_log where dt='2020-03-10'; 

3210    1001=2020-03-10 00:00:00.0
3211    1001=2020-03-10 00:00:00.0
3212    1001=2020-03-10 00:00:00.0

3210    1002=2020-03-10 00:00:00.0
3211    1002=2020-03-10 00:00:00.0
3212    1002=2020-03-10 00:00:00.0

3210    1005=2020-03-10 00:00:00.0
3211    1004=2020-03-10 00:00:00.0
3212    1004=2020-03-10 00:00:00.0

第二步:

hive > select order_id, collect_set(concat(order_status,'=',operate_time)) from order_status_log where dt='2020-03-10' group by order_id;

3210    ["1001=2020-03-10 00:00:00.0","1002=2020-03-10 00:00:00.0","1005=2020-03-10 00:00:00.0"]
3211    ["1001=2020-03-10 00:00:00.0","1002=2020-03-10 00:00:00.0","1004=2020-03-10 00:00:00.0"]
3212    ["1001=2020-03-10 00:00:00.0","1002=2020-03-10 00:00:00.0","1004=2020-03-10 00:00:00.0"]

第三步:

hive> 
select order_id, concat_ws(',', collect_set(concat(order_status,'=',operate_time))) from order_status_log where dt='2020-03-10' group by order_id;

3210    1001=2020-03-10 00:00:00.0,1002=2020-03-10 00:00:00.0,1005=2020-03-10 00:00:00.0
3211    1001=2020-03-10 00:00:00.0,1002=2020-03-10 00:00:00.0,1004=2020-03-10 00:00:00.0
3212    1001=2020-03-10 00:00:00.0,1002=2020-03-10 00:00:00.0,1004=2020-03-10 00:00:00.0

 

第四步:

hive >
select order_id, str_to_map(concat_ws(',',collect_set(concat(order_status,'=',operate_time))), ','  ,  '=') tms  from order_status_log where dt='2020-03-10' group by order_id;

3210    {
     "1001":"2020-03-10 00:00:00.0","1002":"2020-03-10 00:00:00.0","1005":"2020-03-10 00:00:00.0"}
3211    {
     "1001":"2020-03-10 00:00:00.0","1002":"2020-03-10 00:00:00.0","1004":"2020-03-10 00:00:00.0"}
3212    {
     "1001":"2020-03-10 00:00:00.0","1002":"2020-03-10 00:00:00.0","1004":"2020-03-10 00:00:00.0"}

第五步:取值

  • tms['1001']:创建时间(未支付状态)
  • tms['1002']:支付时间(支付状态)
  • tms['1003']:取消时间(已取消状态)
  • tms['1004']:完成时间(已完成状态)
  • tms['1005']:退款时间(退款状态)
  • tms['1006']:退款完成时间(退款完成状态)

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