So this is my jsonb array of objects. Column is called bids in my db.
bids column
[
{
"id": "1",
"size": "5.5Y",
"price": 180
},
{
"id": "f0d1d36a-f6af-409e-968e-54c1dc104566",
"size": "6.5Y",
"price": 22
}
]
I want to update price property by the ID of an element for ex. "f0d1d36a-f6af-409e-968e-54c1dc104566", so the price would change from 22 to 150 IN ROW WHICH CONTAINS ELEMENT WITH DESIRED ID IN THE COLUMN.
How can I do that?
create table json_update (id integer, json_fld jsonb);
insert into json_update values (1, '[
{
"id": "1",
"size": "5.5Y",
"price": 180
},
{
"id": "f0d1d36a-f6af-409e-968e-54c1dc104566",
"size": "6.5Y",
"price": 22
}
]'
)
;
UPDATE
json_update
SET
json_fld = jsonb_set(json_fld, ARRAY[(idx)::text, 'price'::text], '150'::jsonb)
FROM (
SELECT
(row_number() OVER (ORDER BY t.a ->> 'id') - 1) AS idx,
t.a
FROM (
SELECT
jsonb_array_elements(json_fld)
FROM
json_update) AS t (a)) AS i
WHERE
i.a ->> 'id' = 'f0d1d36a-f6af-409e-968e-54c1dc104566';
select * from json_update ;
id | json_fld
----+---------------------------------------------------------------------------------------------------------------------------
1 | [{"id": "1", "size": "5.5Y", "price": 180}, {"id": "f0d1d36a-f6af-409e-968e-54c1dc104566", "size": "6.5Y", "price": 150}]
Related
a have a simple table of purchases consisting of id and jsonb column, like this:
CREATE TABLE purchase (id SERIAL, products JSONB)
Then and index:
CREATE INDEX idx_purchase_products ON purchase USING GIN (products);
The sample data are like this:
INSERT INTO purchase VALUES (
1, jsonb('[
{
"country": 1,
"type": 1,
"size": 10,
"color": 3
}
]')
),
(
2, jsonb('[
{
"country": 1,
"type": 1,
"size": 10,
"color": 3
},
{
"country": 1,
"type": 2,
"size": 12,
"color": 4
},
{
"country": 2,
"type": 1,
"size": 12,
"color": 3
}
]')
),
(
3, jsonb('[
{
"country": 1,
"type": 1,
"size": 10,
"color": 3
}
]')
),
(
4, jsonb('[
{
"country": 1,
"type": 1,
"size": 10,
"color": 3
},
{
"country": 1,
"type": 2,
"size": 12,
"color": 4
},
{
"country": 2,
"type": 1,
"size": 12,
"color": 3
}
]')
);
And some scenarios of searching:
SELECT *
FROM purchase
WHERE products #> '[{"country": 1}]'
SELECT *
FROM purchase
WHERE products #> '[{"country": 1, "type": 1}]'
SELECT *
FROM purchase
WHERE products #> '[{"size": 12}]'
SELECT *
FROM purchase
WHERE products #> '[{"size": 12, "color": 4}]'
It is expected, that the customer could search for combinations:
country,
country + type
country + type + size
country + type + size + color
country + size
size + color
type + color
etc.
And there is a big chance, the list of 4 field (country, type, size, color) will grow in future to 7-10.
And of course we want also search combinations like this:
.. WHERE products #> '[{"country": 1}]' OR products #> '[{"color": 4}]' OR products #> '[{"type": 1, "size": 10}]'
Estimated size of the table purchase is 9-12 millions rows (depending on season).
Any idea how to implement the indexes to get the query result as fast as possible?
In an example table:
create table example
(
id serial not null
constraint example_pk
primary key,
data json not null
);
and data
INSERT INTO public.example (id, data) VALUES (1, '[{"key": "1", "value": "val1"}, {"key": "2", "value": "val2"}]');
INSERT INTO public.example (id, data) VALUES (2, '[{"key": "1", "value": "val1"}]');
INSERT INTO public.example (id, data) VALUES (3, '[{"key": "1", "value": "val1"}, {"key": "2", "value": "val2"}]');
id
data
1
[{"key": "1", "value": "val1"}, {"key": "2", "value": "val2"}]
2
[{"key": "1", "value": "val1"}]
3
[{"key": "1", "value": "val1"}, {"key": "2", "value": "val2"}]
I want to query the value field in the data column where key = 2
The query I'm currently using is this:
SELECT id,
jsonb_path_query(
TO_JSONB(data),
'$[*] ? (#.key == "2").value'::JSONPATH
)::VARCHAR AS values
FROM example
I would expect the results to be:
id
values
1
"val2"
2
null
3
"val2"
But the actual result is:
id
values
1
"val2"
3
"val2"
Is there a reason why the null output of jsonb_path_query is omitted? How do I get it to behave the way I'm expecting?
You want jsonb_path_query_first() if you want the result of the path expression:
SELECT id,
jsonb_path_query_first(data, '$[*] ? (#.key == "2").value') AS values
FROM example
Note that this returns a jsonb value. If you want a text value, use:
jsonb_path_query_first(data, '$[*] ? (#.key == "2").value') #>> '{}
As per PostgreSQL documentation the filter acts as WHERE condition
When defining the path, you can also use one or more filter expressions that work similar to the WHERE clause in SQL. A filter expression begins with a question mark and provides a condition in parentheses:
I managed to achieve what you're looking for using the LATERAL and a LEFT JOIN
SELECT id,
*
FROM example left join
LATERAL jsonb_path_query(
TO_JSONB(data),
'$[*] ? (#.key == "2").value'::JSONPATH)
on true;
Result
id | id | data | jsonb_path_query
----+----+----------------------------------------------------------------+------------------
1 | 1 | [{"key": "1", "value": "val1"}, {"key": "2", "value": "val2"}] | "val2"
2 | 2 | [{"key": "1", "value": "val1"}] |
3 | 3 | [{"key": "1", "value": "val1"}, {"key": "2", "value": "val2"}] | "val2"
(3 rows)
Starting out with JSONB data type and I'm hoping someone can help me out.
I have a table (properties) with two columns (id as primary key and data as jsonb).
The data structure is:
{
"ProductType": "ABC",
"ProductName": "XYZ",
"attributes": [
{
"name": "Color",
"type": "STRING",
"value": "Silver"
},
{
"name": "Case",
"type": "STRING",
"value": "Shells"
},
...
]
}
I would like to update the value of a specific attributes element by name for a row with a given id. For example, for the element with "name"="Case" change the value to "Glass". So it ends up like
{
"ProductType": "ABC",
"ProductName": "XYZ",
"attributes": [
{
"name": "Color",
"type": "STRING",
"value": "Silver"
},
{
"name": "Case",
"type": "STRING",
"value": "Glass"
},
...
]
}
Is this possible with this structure using SQL?
I have created table structure if any of you would like to give it a shot.
dbfiddle
Use the jsonb concatenation operator, ||, to replace keys on the fly:
WITH properties (id, data) AS (
values
(1, '{"ProductType": "ABC","ProductName": "XYZ","attributes": [{"name": "Color","type": "STRING","value": "Silver"},{"name": "Case","type": "STRING","value": "Shells"}]}'::jsonb),
(2, '{"ProductType": "ABC","ProductName": "XYZ","attributes": [{"name": "Color","type": "STRING","value": "Red"},{"name": "Case","type": "STRING","value": "Shells"}]}'::jsonb)
)
SELECT id,
data||
jsonb_build_object(
'attributes',
jsonb_agg(
case
when attribs->>'name' = 'Case' then attribs||'{"value": "Glass"}'::jsonb
else attribs
end
)
) as data
FROM properties m
CROSS JOIN LATERAL JSONB_ARRAY_ELEMENTS(data->'attributes') as a(attribs)
GROUP BY id, data
Updated fiddle
Postgresq 9.6
json
"availability": [
{
"qty": 25,
"price": 1599,
"is_available": true
},
{
"qty": 72,
"price": 3599,
},
"is_available": true
]
table with column data. Type is jsonb
If I want to sort first array's(availability) item by field "price" I this:
SELECT *
from product prod
WHERE to_tsvector('english', prod.data) ## to_tsquery('gram')
ORDER BY prod.data #> '{availability,0,price}' desc
OK.
But I need to sort all fields "price" in array availability
Smt like this (pseudo code)
SELECT *
from product prod
WHERE to_tsvector('english', prod.data) ## to_tsquery('gram')
ORDER BY prod.data #> '{availability,*,price}' desc
I need to to order by "price" desc.
The result must be
First record of result is second json
"availability": [
{
"qty": 25,
"price": 11599,
"is_available": true
},
{
"qty": 72,
"price": 13599,
},
"is_available": true
]
...
"availability": [
{
"qty": 25,
"price": 1599,
"is_available": true
},
{
"qty": 72,
"price": 3599,
},
"is_available": true
]
Is it possible?
This could be done like this:
select id,
jsonb_set(data, '{availability}',
(select jsonb_agg(item order by (item ->> 'price')::numeric)
from jsonb_array_elements(data -> 'availability') as x(item))
) as data
from product
where ...
I have a Jsonb column that store array of elements like the following:
[
{"id": "11", "name": "John", "age":"25", ..........},
{"id": "22", "name": "Mike", "age":"35", ..........},
{"id": "33", "name": "Tom", "age":"45", ..........},
.....
]
I want to replace the 2nd object(id=22) with a totally new object. I don't want to update each property one by one because there are many properties and their values all could have changed. I want to just identify the 2nd element and replace the whole object.
I know there is a jsonb_set(). However, to update the 2nd element, I need to know its array index=1 so I can do the following:
jsonb_set(data, '{1}', '{"id": "22", "name": "Don", "age":"55"}',true)
But I couldn't find any way to search and get that index. Can someone help me out?
One way I can think of is to combine row_number and json_array_elements:
-- test data
create table test (id integer, data jsonb);
insert into test values (1, '[{"id": "22", "name": "Don", "age":"55"}, {"id": "23", "name": "Don2", "age":"55"},{"id": "24", "name": "Don3", "age":"55"}]');
insert into test values (2, '[{"id": "32", "name": "Don", "age":"55"}, {"id": "33", "name": "Don2", "age":"55"},{"id": "34", "name": "Don3", "age":"55"}]');
select subrow, id, row_number() over (partition by id)
from (
select json_array_elements(data) as subrow, id
from test
) as t;
subrow | id | row_number
------------------------------------------+----+------------
{"id": "22", "name": "Don", "age":"55"} | 1 | 1
{"id": "23", "name": "Don2", "age":"55"} | 1 | 2
{"id": "24", "name": "Don3", "age":"55"} | 1 | 3
{"id": "32", "name": "Don", "age":"55"} | 2 | 1
{"id": "33", "name": "Don2", "age":"55"} | 2 | 2
{"id": "34", "name": "Don3", "age":"55"} | 2 | 3
-- apparently you can filter what you want from here
select subrow, id, row_number() over (partition by id)
from (
select json_array_elements(data) as subrow, id
from test
) as t
where subrow->>'id' = '23';
In addition, think about your schema design. It may not be the best idea to store your data this way.