'Hierarchically aggregate JSON depending on value in row using PostgreSQL10
I have a PostgreSQL 10 table that works as a "dictionary" and is structured as follows:
| key | value |
|---|---|
| style_selection_color | |
| style_selection_weight | |
| style_line_color | |
| style_line_weight | |
| ... |
Now I was wondering if there is a way of building a JSON with the values in the table where it would build a hierarchy depending on the value of "key"? Something like:
style --> selection --> color and
style --> line --> color
Ending up with a JSON:
{
style: [
selection: {
color: "...",
weight: "..."
},
line: {
color: "...",
weight: "..."
}
]
}
Is such a feat achievable? If so, how would I go about it?
Could it be done so that regardless of what keys I have in my table it always returns the JSON properly built?
Thanks in advance
Solution 1:[1]
Well, I am not sure about Postgres version, hoping this would work on your version, I tried this on version 11.
;WITH dtbl as (
select split_part(tbl.col, '_', 1) as style,
split_part(tbl.col, '_', 2) as cls,
split_part(tbl.col, '_', 3) as property_name,
tbl.val
from (
select 'style_selection_color' as col, 'red' as val
union all
select 'style_selection_weight', '1rem'
union all
select 'style_line_color', 'gray'
union all
select 'style_line_weight', '200'
union all
select 'stil_line_weight', '200'
) as tbl
),
classes as (
select dtbl.style,
dtbl.cls,
(
SELECT json_object_agg(
nested_props.property_name, nested_props.val
)
FROM (
SELECT dtbl2.property_name,
dtbl2.val
FROM dtbl dtbl2
where dtbl2.style = dtbl.style
and dtbl2.cls = dtbl.cls
) AS nested_props
) AS properties
from dtbl
group by dtbl.style, dtbl.cls),
styles as (
select style
from dtbl
group by style
)
,
class_obj as (
select classes.style,
classes.cls,
json_build_object(
classes.cls, classes.properties) as cls_json
from styles
join classes on classes.style = styles.style
)
select json_build_object(
class_obj.style,
json_agg(class_obj.cls_json)
)
from class_obj
group by style
;
If you change the first part of the query to match your table and column names this should work.
The idea is to build the json objects nested, but you cannot do this on one pass, as it does not let you nest json_agg functions, this is why we have to use more than 1 query. first build line and selection objects then aggregate them in the style objects.
Sorry for the naming, this is the best I could do.
EDIT1: This is the output of that query.
"{""stil"" : [{""line"" : [{""weight"" : ""200""}]}]}"
"{""style"" : [{""selection"" : [{""color"" : ""red""}, {""weight"" : ""1rem""}]}, {""line"" : [{""color"" : ""gray""}, {""weight"" : ""200""}]}]}"
Looking at this output, it is not what exactly you wanted, you got an array of objects for properties:) You wanted {"color":"red", "weight": "1rem"} but the output is [{"color":"red"}, {"weight": "1rem"}]
EDIT2: Well, json_object_agg is the solution, so I combined json_object_agg to build the prop objects, now I am thinking this might be made even more simpler. This is the new output from the query.
"{""stil"" : [{""line"" : { ""weight"" : ""200"" }}]}"
"{""style"" : [{""selection"" : { ""color"" : ""red"", ""weight"" : ""1rem"" }}, {""line"" : { ""color"" : ""gray"", ""weight"" : ""200"" }}]}"
Solution 2:[2]
This is trimmed down version, as I thought json_object_agg made things a bit more simpler, so I got rid off some subselects. Tested on postgres 10.
https://www.db-fiddle.com/f/tjzNBoQ3LTbECfEWb9Nrcp/0
;
WITH dtbl as (
select split_part(tbl.col, '_', 1) as style,
split_part(tbl.col, '_', 2) as cls,
split_part(tbl.col, '_', 3) as property_name,
tbl.val
from (
select 'style_selection_color' as col, 'red' as val
union all
select 'style_selection_weight', '1rem'
union all
select 'style_line_color', 'gray'
union all
select 'style_line_weight', '200'
union all
select 'stil_line_weight', '200'
) as tbl
),
result as (
select dtbl.style,
dtbl.cls,
json_build_object(dtbl.cls,
(
SELECT json_object_agg(
nested_props.property_name, nested_props.val
)
FROM (
SELECT dtbl2.property_name,
dtbl2.val
FROM dtbl dtbl2
where dtbl2.style = dtbl.style
and dtbl2.cls = dtbl.cls
) AS nested_props
)) AS cls_json
from dtbl
group by dtbl.style, dtbl.cls)
select json_build_object(
result.style,
json_agg(result.cls_json)
)
from result
group by style
;
You can think of dtbl as your main table, I just added a bonus row called stil similar to other rows, to make sure that grouping is correct.
Here is the output;
{"style":
[{"line":{"color":"gray", "weight":"200"}},
{"selection":{"color":"red","weight":"1rem"}}]
}
{"stil":[{"line":{"weight":"200"}}]}
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | |
| Solution 2 | hazimdikenli |
