展平并重建 JSON 雪花
Flatten and reconstruct JSON Snowflake
我还在学习 Snowflake,非常感谢任何帮助。
我有一个专栏,我们称它为'result'。
{
"catalog": [
{
"img_href": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg",
"name": "ADITI HAND BLOCKED PRINT",
"price": 16
},
{
"img_href": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg",
"name": "TORBAY HAND BLOCKED PRINT",
"price": 17
},
{
"img_href": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg",
"name": "ADITI HAND BLOCKED PRINT",
"price": 18
}
],
"datetime": 161878993658
"catalog_id": 1
}
我想把它压平重建如下
[
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg"
},
]
下面会做这个。您不需要 CTE,因此将其删除并将 tbl
的使用替换为您的 table 的名称,并将 json
的使用替换为您的变体列。
/*delete this line*/ with tbl as (select parse_json() json from values('{"catalog":[{"img_href":"https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg","name":"ADITI HAND BLOCKED PRINT","price":16},{"img_href":"https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg","name":"TORBAY HAND BLOCKED PRINT","price":17},{"img_href":"https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg","name":"ADITI HAND BLOCKED PRINT","price":18}],"datetime":161878993658,"catalog_id":1}'))
select array_agg(new_col) reconstructed
from (
/* replace json and tbl */ select object_construct('datetime', json:datetime, 'url', obj.value:img_href) new_col, json:catalog_id catalog_id
from tbl, lateral flatten(json:catalog) obj
) group by catalog_id;
输出
[
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg"
}
]
我还在学习 Snowflake,非常感谢任何帮助。
我有一个专栏,我们称它为'result'。
{
"catalog": [
{
"img_href": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg",
"name": "ADITI HAND BLOCKED PRINT",
"price": 16
},
{
"img_href": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg",
"name": "TORBAY HAND BLOCKED PRINT",
"price": 17
},
{
"img_href": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg",
"name": "ADITI HAND BLOCKED PRINT",
"price": 18
}
],
"datetime": 161878993658
"catalog_id": 1
}
我想把它压平重建如下
[
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg"
},
]
下面会做这个。您不需要 CTE,因此将其删除并将 tbl
的使用替换为您的 table 的名称,并将 json
的使用替换为您的变体列。
/*delete this line*/ with tbl as (select parse_json() json from values('{"catalog":[{"img_href":"https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg","name":"ADITI HAND BLOCKED PRINT","price":16},{"img_href":"https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg","name":"TORBAY HAND BLOCKED PRINT","price":17},{"img_href":"https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg","name":"ADITI HAND BLOCKED PRINT","price":18}],"datetime":161878993658,"catalog_id":1}'))
select array_agg(new_col) reconstructed
from (
/* replace json and tbl */ select object_construct('datetime', json:datetime, 'url', obj.value:img_href) new_col, json:catalog_id catalog_id
from tbl, lateral flatten(json:catalog) obj
) group by catalog_id;
输出
[
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179361.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179330.jpg"
},
{
"datetime": 161878993658,
"url": "https://schumacher-webassets.s3.amazonaws.com/Web%20Catalog-600/179362.jpg"
}
]