I have the following JSONB column called value.
create temp table settings as
select
'{"favorites": [
{
"listings": [
{"id": "aa92f346-7a93-4443-949b-4eab0badd983", "version": 1},
{"id": "cd92e346-6b04-3456-050a-5eeb0bddd027", "version": 3},
{"id": "cd92e346-6b04-3456-050a-5eeb0bddd333", "version": 2}
]
}
]}'::jsonb as value;
So I'm trying to remove items from this nested array and reconstruct it like so
select jsonb_set(value,'{favorites}',jsonb_set('{}','{listings}',
jsonb_agg(new_elems)) ) as ne from settings s ,
lateral ( select jsonb_array_elements(elem->'listings')as new_elems
from jsonb_array_elements(value->'favorites')elem) sets where
sets.new_elems->>'id' != 'aa92f346-7a93-4443-949b-4eab0badd983'
group by s.value
Which works but the "favorites" array is flattened.
Instead of
"{"favorites": [{"listings": [{"id": "cd92e346-6b04-3456-050a-5eeb0bddd027", "version": 3}, {"id": "cd92e346-6b04-3456-050a-5eeb0bddd333", "version": 2}]}]}"
I get
"{"favorites": {"listings": [{"id": "cd92e346-6b04-3456-050a-5eeb0bddd027", "version": 3}, {"id": "cd92e346-6b04-3456-050a-5eeb0bddd333", "version": 2}]}}"
Does anyone have an idea on how can I solve this?.
you can create jsonb arrays by using the functions JSONB_AGG or JSON_BUILD_ARRAY. JSONB_AGG is an aggregate function, whereas JSONB_BUILD_ARRAY puts all provided arguments in an array.
Below, I used JSONB_BUILD_ARRAY to make favorites into an json array rather than a key-value
SELECT
JSONB_SET(
'{}', '{favorites}',
JSONB_BUILD_ARRAY(
JSONB_SET('{}', '{listings}', JSONB_AGG(listings))
)
)
FROM settings,
LATERAL (SELECT
JSONB_ARRAY_ELEMENTS(JSONB_ARRAY_ELEMENTS(value->'favorites')->'listings') listings
FROM settings) listings
WHERE listings.listings->>'id' != 'aa92f346-7a93-4443-949b-4eab0badd983'
Related
I have two following tables:
CREATE TABLE elements(
id INT PRIMARY KEY,
element_type INT,
api_name VARCHAR(100) UNIQUE
);
CREATE TABLE entries(
id INT PRIMARY KEY,
elements JSONB
)
entries.elements field stored a jsonb-array of elements in following format:
[
{
"id": elements.id
"type": elements.element_type
"value": <some_value>
},
{
"id": elements.id
"type": elements.element_type
"value": <some_value>
}
...
]
The value field can be one of 3 types:
Literal (i.e. "abc", 12, true)
Array of literals (i.e. ["abc", "cbd"], [12, 21])
Array of objects (i.e. [{"node_id": <uuid>, "value": "abc"}, {"node_id": <uuid>, "value": "cba"}])
And I have index (maybe incorrect)
CREATE INDEX some_idx_name
ON entries
USING GIN (elements jsonb_ops)
For example suppose that I have data in these tables:
INSERT INTO elements(id, element_type, api_name) VALUES
(1, 1, 'el_number_1'),
(2, 2, 'el_datetime'),
(3, 3, 'el_files'),
(4, 1, 'el_number_2');
INSERT INTO entries(id, elements) VALUES
(1, '[{"id": 1, "type": 1, "value": 12}, {"id": 3, "type": 3, "value": [1, 2]}]'::JSONB),
(2, '[{"id": 4, "type": 1, "value": 12}, {"id": 2, "type": 2, "value": [{"date": "20.12.2022", "time": "16:18"}]}]'::JSONB);
So if I want to find entry by elements I need to do something like this:
SELECT id
FROM entries
WHERE elements #? '$[*] ? (#.id == 4 && #.value = 12)'
But how can I find entry by value of elements which was found by api_name?
-- DOES NOT WORK (only for example what I need)
SELECT id
FROM entries
WHERE elements #? '$[*] ? (#.id == (SELECT id FROM elements WHERE api_name = 'el_number_2') && #.value = 12)'
Fiddle link
I have a postgres table with a jsonb colum like this:
create table if not exists doc
(
id uuid not null
constraint pkey_doc_id
primary key,
data jsonb not null
);
INSERT INTO doc (id, data) VALUES ('3cf40366-ea58-402d-b63b-c9d6fdf99ec8', '{"Id": "3cf40366-ea58-402d-b63b-c9d6fdf99ec8", "Tags": [{"Key": "inoivce", "Value": "70086"},{"Key": "customer", "Value": "100233"}] }' );
INSERT INTO doc (id, data) VALUES ('ae2d1119-adb9-41d2-96e9-53445eaf97ab', '{"Id": "ae2d1119-adb9-41d2-96e9-53445eaf97ab", "Tags": [{"Key": "project", "Value": "12345"},{"Key": "customer", "Value": "100233"}]}' );b9-41d2-96e9-53445eaf97ab", "Tags": [{"Key": "customer", "Value": "100233"}]}' )
Tags.Key in the first row contains a typo inoivce which I want to fix to invoice:
{
"Id": "3cf40366-ea58-402d-b63b-c9d6fdf99ec8",
"Tags": [{
"Key": "inoivce",
"Value": "70086"
},{
"Key": "customer",
"Value": "100233"
}]
}
I tried this:
update doc set data = jsonb_set(
data,
'{"Tags"}',
$${"Key":"invoice"}$$
) where data #> '{"Tags": [{ "Key":"inoivce"}]}';
The typo gets fixed but I'm loosing the other Tags elements in the array:
{
"Id": "3cf40366-ea58-402d-b63b-c9d6fdf99ec8",
"Tags": [{"Key": "invoice"}]
}
How can I fix the typo without removing the other elements of the Tags array?
Dbfiddle for repro.
One possible solution, not so obvious : we need a CTE because the idea here is to loop on the 'Tags' jsonb array elements using the jsonb_agg aggregate function to rebuild the array, but the SET clause of an UPDATE doesn't accept aggregate functions ...
WITH list AS
( SELECT d.id, (d.data - 'Tags') || jsonb_build_object('Tags', jsonb_agg(jsonb_set(e.content, '{Key}' :: text[], to_jsonb(replace(e.content->>'Key', 'inoivce', 'invoice'))) ORDER BY e.id)) AS data
FROM doc AS d
CROSS JOIN LATERAL jsonb_array_elements(d.data->'Tags') WITH ORDINALITY AS e(content, id)
WHERE d.data #? '$.Tags[*] ? (exists(# ? (#.Key == "inoivce")))'
GROUP BY d.id, d.data
)
UPDATE doc AS d
SET data = l.data
FROM list AS l
WHERE d.id = l.id
see the result in dbfiddle
I have json like this that based on the value of the enabled variable I want to insert into a table.
{
"Name": "Shop1",
"Id": "1",
"enabled": false
},
{
"Name": "Shop2",
"Id": "2",
"enabled": true
}
]
In a query I would like to select any items that are true and insert into a table. The table schema I want to insert into looks like
id,enabled
how to query the json and push into the rows of the other table?
You can use jsonb_array_elements() for that:
insert into the_table (id, enabled)
select (e ->> 'Id')::int,
(e ->> 'enabled')::boolean
from jsonb_array_elements('[
{"Name": "Shop1","Id": "1","enabled": false},
{"Name": "Shop2","Id": "2","enabled": true}
]') as t(e)
where e ->> 'enabled' = 'true';
I was going through the Postgres Jsonb documentation but was unable to find a solution for a small issue I'm having.
I've got a table : MY_TABLE
that has the following columns:
User, Name, Data and Purchased
One thing to note is that "Data" is a jsonb and has multiple fields. One of the fields inside of "Data" is "Attribute" but the values it can hold are not in sync. What I mean is, it could be a string, a list of strings, an empty list, or just an empty string. However, I want to change this.
The only values that I want to allow are a list of strings and an empty list. I want to convert all the empty strings to empty lists and regular strings to a list of strings.
I have tried using json_build_array but have not had any luck
So for example, I'd want my final jsonb to look like :
[{
"Id": 1,
"Attributes": ["Test"]
},
{
"Id": 2,
"Attributes": []
},
{
"Id": 3,
"Attributes": []
}]
when converted from
{
"Id": 1,
"Attributes": "Test"
},
{
"Id": 2,
"Attributes": ""
},
{
"Id": 3,
"Attributes": []
}
]
I only care about the "Attributes" field inside of the Json, not any other fields.
I also want to ensure for some Attributes that have an empty string "Attributes": "", they get mapped to an empty list and not a list with an empty string ([] not [""])
I also want to preserve the empty array values ([]) for the Attributes that already hold an empty array value.
This is what I have so far:
jsonb_set(
mycol,
'{Attributes}',
case when js ->> 'Attributes' <> ''
then jsonb_build_array(js ->> 'Attributes')
else '[]'::jsonb
end
)
However, Attributes: [] is getting mapped to ["[]"]
Use jsonb_array_elements() to iterate over the elements of each 'data' cell and jsonb_agg to regroup the transform values together into an array:
WITH test_data(js) AS (
VALUES ($$ [
{
"Id": 1,
"Attributes": "Test"
},
{
"Id": 2,
"Attributes": ""
},
{
"Id": 3,
"Attributes": []
}
]
$$::JSONB)
)
SELECT transformed_elem
FROM test_data
JOIN LATERAL (
SELECT jsonb_agg(jsonb_set(
elem,
'{Attributes}',
CASE
WHEN elem -> 'Attributes' IN ('""', '[]') THEN '[]'::JSONB
WHEN jsonb_typeof(elem -> 'Attributes') = 'string' THEN jsonb_build_array(elem -> 'Attributes')
ELSE elem -> 'Attributes'
END
)) AS transformed_elem
FROM jsonb_array_elements(test_data.js) AS f(elem) -- iterate over every element in the array
) s
ON TRUE
returns
[{"Id": 1, "Attributes": ["Test"]}, {"Id": 2, "Attributes": []}, {"Id": 3, "Attributes": []}]
I have some nested JSONB object/arrays that I want to update/insert into array completely when a given set of values match.
I've tried this command UPDATE asset SET detail = jsonb_set(detail, '{"date": "01/01/2019"}', '{"name": "ABC", "date": "01/01/2019"}');, but doesn't work since the command is looking for an index and using || simply appends the new object into the array instead of replacing it.
Schemas
Table
CREATE TABLE asset (
id uuid NOT NULL DEFAULT uuid_generate_v1(),
detail jsonb NULL,
events_connected jsonb NULL
);
JSONB Schemas
[{
"name": "Stackoverflow",
"date": "01/01/2019"
}]
A little more in depth
[{
"id": "12345",
"events": [{"type": 0, "date": "01/01/01", "ratio": 1.0}]
}]
EDIT:
I've played around with this code which almost works, but it updates all rows with the new object instead of simply inserting/updating the event id and keys that matches. The sub query that finds the matching params seem to work.
update
asset
set
events_connected =
jsonb_set(
events_connected,
array[elem_index::text, 'events', nested_elem_index::text],
'{"type": 2, "ratio": 5.0, "tax": 1, "date": "01/02/2019"}'::jsonb,
true)
from (
select
(pos - 1) as "elem_index",
(pos2 - 1) as "nested_elem_index",
elem->>'id' as "id"
from
asset,
jsonb_array_elements(events_connected) with ordinality arr(elem, pos),
jsonb_array_elements(elem->'events') with ordinality arr2(elem2, pos2)
WHERE
elem->>'id' = '12345' AND
elem2->>'type' = '1' AND
elem2->>'date' = '01/02/2019'
) sub
WHERE
sub."elem_index" IS NOT NULL AND sub."nested_elem_index" IS NOT NULL;
Fiddle: https://dbfiddle.uk/?rdbms=postgres_11&fiddle=1b3f3b0c7a9f0adda50c54011880b61d