取消嵌套地图值作为 Athena / presto 中的单独列
Unnesting map values as individual columns in Athena / presto
我的问题与此()有些相似。但就我而言,我事先知道我需要哪些专栏。
我的用例是这样的
我有一个 json blob,其中包含以下结构
{
"reqId" : "1234",
"clientId" : "client",
"response" : [
{
"name" : "Susan",
"projects" : [
{
"name" : "project1",
"completed" : true
},
{
"name" : "project2",
"completed" : false
}
]
},
{
"name" : "Adams",
"projects" : [
{
"name" : "project1",
"completed" : true
},
{
"name" : "project2",
"completed" : false
}
]
}
]
}
我需要创建一个视图,它将return输出类似这样的内容
name | project | Completed |
----------+-------------+------------+
Susan | project1 | true |
Susan | project2 | false |
Adams | project1 | true |
Adams | project2 | false |
我尝试了以下方法和其他方法。这是我能得到的最接近的
WITH dataset AS (
SELECT 'Susan' as name, transform(filter(CAST(json_extract('{
"projects": [{"name":"project1", "completed":false}, {"name":"project3", "completed":false},
{"name":"project2", "completed":true}]}', '$.projects') AS ARRAY<MAP<VARCHAR, VARCHAR>>), p -> (p['name'] != 'project1')), p -> ROW(map_values(p))) AS projects
)
SELECT * from dataset
CROSS JOIN UNNEST(projects)
这是我得到的输出
name projects _col2
1 Susan [{field0=[project3, false]}, {field0=[project2, true]}] {field0=[project3, false]}
2 Susan [{field0=[project3, false]}, {field0=[project2, true]}] {field0=[project2, true]}
我基本上想取消嵌套我的地图的键值对作为单独的列。我如何在 presto / Athena 中执行此操作?
您的 JSON 示例似乎无效,它在 "name" : "Susan"
和 "name" : "Adams"
之后缺少一个 ,
。除此之外,您可以通过此查询获得预期的输出,您需要 UNNEST 两次并且还需要一些转换:
with dataset as
(
select json_parse('{"reqId" : "1234","clientId" : "client","response" : [{"name" : "Susan","projects" : [{"name" : "project1","completed" : true},{"name" : "project2","completed" : false}]},{"name" : "Adams","projects" : [{"name" : "project1","completed" : true},{"name" : "project2","completed" : false}]}]}') as json_col
)
,unnest_response as
(
select *
from dataset
cross join UNNEST(cast(json_extract(json_col, '$.response') as array<JSON>)) as t (response)
)
select
json_extract_scalar(response, '$.name') name,
json_extract_scalar(project, '$.name') project_name,
json_extract_scalar(project, '$.completed') project_completed
from unnest_response
cross join UNNEST(cast(json_extract(response, '$.projects') as array<JSON>)) as t (project);
我的问题与此(
我的用例是这样的
我有一个 json blob,其中包含以下结构
{
"reqId" : "1234",
"clientId" : "client",
"response" : [
{
"name" : "Susan",
"projects" : [
{
"name" : "project1",
"completed" : true
},
{
"name" : "project2",
"completed" : false
}
]
},
{
"name" : "Adams",
"projects" : [
{
"name" : "project1",
"completed" : true
},
{
"name" : "project2",
"completed" : false
}
]
}
]
}
我需要创建一个视图,它将return输出类似这样的内容
name | project | Completed |
----------+-------------+------------+
Susan | project1 | true |
Susan | project2 | false |
Adams | project1 | true |
Adams | project2 | false |
我尝试了以下方法和其他方法。这是我能得到的最接近的
WITH dataset AS (
SELECT 'Susan' as name, transform(filter(CAST(json_extract('{
"projects": [{"name":"project1", "completed":false}, {"name":"project3", "completed":false},
{"name":"project2", "completed":true}]}', '$.projects') AS ARRAY<MAP<VARCHAR, VARCHAR>>), p -> (p['name'] != 'project1')), p -> ROW(map_values(p))) AS projects
)
SELECT * from dataset
CROSS JOIN UNNEST(projects)
这是我得到的输出
name projects _col2
1 Susan [{field0=[project3, false]}, {field0=[project2, true]}] {field0=[project3, false]}
2 Susan [{field0=[project3, false]}, {field0=[project2, true]}] {field0=[project2, true]}
我基本上想取消嵌套我的地图的键值对作为单独的列。我如何在 presto / Athena 中执行此操作?
您的 JSON 示例似乎无效,它在 "name" : "Susan"
和 "name" : "Adams"
之后缺少一个 ,
。除此之外,您可以通过此查询获得预期的输出,您需要 UNNEST 两次并且还需要一些转换:
with dataset as
(
select json_parse('{"reqId" : "1234","clientId" : "client","response" : [{"name" : "Susan","projects" : [{"name" : "project1","completed" : true},{"name" : "project2","completed" : false}]},{"name" : "Adams","projects" : [{"name" : "project1","completed" : true},{"name" : "project2","completed" : false}]}]}') as json_col
)
,unnest_response as
(
select *
from dataset
cross join UNNEST(cast(json_extract(json_col, '$.response') as array<JSON>)) as t (response)
)
select
json_extract_scalar(response, '$.name') name,
json_extract_scalar(project, '$.name') project_name,
json_extract_scalar(project, '$.completed') project_completed
from unnest_response
cross join UNNEST(cast(json_extract(response, '$.projects') as array<JSON>)) as t (project);