为什么 Snowflake 在转换为展平列表时会更改 JSON 值的顺序?

why Snowflake changing the order of JSON values when converting into flatten list?

我有 JSON 个对象存储在 table 中,我正在尝试编写查询以从 JSON 中获取第一个元素。

复制脚本

create table staging.par.test_json (id int, val varchar(2000)); 

insert into staging.par.test_json values (1, '{"list":[{"element":"Plumber"},{"element":"Craft"},{"element":"Plumbing"},{"element":"Electrics"},{"element":"Electrical"},{"element":"Tradesperson"},{"element":"Home services"},{"element":"Housekeepings"},{"element":"Electrical Goods"}]}');
insert into staging.par.test_json values (2,'
  {
    "list": [
      {
        "element": "Wholesale jeweler"
      },
      {
        "element": "Fashion"
      },
      {
        "element": "Industry"
      },
      {
        "element": "Jewelry store"
      },
      {
        "element": "Business service"
      },
      {
        "element": "Corporate office"
      }
    ]
  }');



with cte_get_cats AS
(
select id, 
       val as category_list 
       from staging.par.test_json
),
cats_parse AS
(
  select id,
         parse_json(category_list) as c
  from cte_get_cats
),
distinct_cats as
(
  select id,
         INDEX,
         UPPER(cast(value:element AS varchar)) As c
  from 
      cats_parse,
      LATERAL flatten(INPUT => c:"list")
  order by 1,2 
) ,
cat_array AS
    (
        SELECT  
            id,
            array_agg(DISTINCT c) AS sds_categories
        FROM
            distinct_cats
        GROUP BY 1
    ),
sds_cats AS
( 
         select id,
         cast(sds_categories[0] AS varchar) as sds_primary_category
         from cat_array
)
select * from sds_cats;

值:类别

{"list":[{"element":"Plumber"},{"element":"Craft"},{"element":"Plumbing"},{"element":"Electrics"},{"element":"Electrical"},{"element":"Tradesperson"},{"element":"Home services"},{"element":"Housekeepings"},{"element":"Electrical Goods"}]}

将其展平为列表给了我

["Plumber","Craft","Plumbing","Electrics","Electrical","Tradesperson","Home services","Housekeepings","Electrical Goods"]

问题: 这个顺序并不总是相同的。雪花似乎会改变顺序,有时雪花会根据字母表改变顺序。 我怎样才能使这个静态。我不想更改顺序。

问题是你使用的方式 ARRAY_AGG:

        array_agg(DISTINCT c) AS sds_categories

像这样指定它不会给 Snowflake 任何关于数组内容应该如何排列的指导方针。您应该 而不是 假设数组将按照与其输入记录相同的顺序创建——可能是这样,但不能保证。所以你可能想做

        array_agg(DISTINCT c) within group (order by index) AS sds_categories

但是那是行不通的,就像你使用DISTINCT c一样,每个cindex的值是未知的。也许你不需要DISTINCT,那么这个就可以了

        array_agg(c) within group (order by index) AS sds_categories

如果您确实需要 DISTINCT,您需要以某种方式将 index 与不同的 c 值相关联。一种方法是在输入中的 index 上使用 MIN 函数。这是一个完整的查询

with cte_get_cats AS
(
select id, 
       val as category_list 
       from staging.par.test_json
),
cats_parse AS
(
  select id,
         parse_json(category_list) as c
  from cte_get_cats
),
distinct_cats as
(
  select id,
         MIN(INDEX) AS index,
         UPPER(cast(value:element AS varchar)) As c
  from 
      cats_parse,
      LATERAL flatten(INPUT => c:"list")
  group by 1,3 
) ,
cat_array AS
    (
        SELECT  
            id,
            array_agg(c) within group (order by index) AS sds_categories
        FROM
            distinct_cats
        GROUP BY 1
    ),
sds_cats AS
( 
         select id,
         cast(sds_categories[0] AS varchar) as sds_primary_category
         from cat_array
)
select * from cat_array;