I have DB table with a jsonb column that has an entity, with nested child entities. Let's say we have:
SELECT jsonb_set('{"top": {"nested": {"leaf" : 1}}}', '{top,nested,leaf}', '2');
Which work's fine by updating top.nested.leaf to 2.
But what if we wanted to do multiple fields, such as:
SELECT jsonb_set('{"top": {"nested": {"leaf" : 1}, "other_nested": {"paper": 0}}}', '[{top,nested,leaf}, {top,other_nested,paper}]', '[2, 2]');
The above does not work and says:
ERROR: malformed array literal: "[{top,nested,leaf}, {top,other_nested,paper}]"
LINE 1: ...": {"leaf" : 1}, "other_nested": {"paper": 0}}}', '[{top,nes...
^
DETAIL: "[" must introduce explicitly-specified array dimensions.
Any ideas?
https://www.postgresql.org/docs/current/static/functions-json.html
jsonb_set(target jsonb, path text[], new_value jsonb[, create_missing boolean])
neither path, nor new value can't have several values. you have to run it twice for wanted result, eg:
SELECT jsonb_set(
'{"top": {"nested": {"leaf" : 1}, "other_nested": {"paper": 0}}}'
, '{top,nested,leaf}'
, '2'
);
SELECT jsonb_set(
'{"top": {"nested": {"leaf" : 1}, "other_nested": {"paper": 0}}}'
, '{top,other_nested,paper}'
, '2'
);
Related
I have python dict with relationship between elements and their values. For example:
db_rows_values = {
<element_uuid_1>: 12,
<element_uuid_2>: "abc",
<element_uuid_3>: [123, 124, 125],
}
And I need to update it in one query. I made it in python through the query generation loop with CASE:
sql_query_elements_values_part = " ".join([f"WHEN '{element_row['element_id']}' "
f"THEN '{ujson.dumps(element_row['value'])}'::JSONB "
for element_row in db_row_values])
query_part_elements_values_update = f"""
elements_value_update AS (
UPDATE m2m_entries_n_elements
SET value =
CASE element_id
{sql_query_elements_values_part}
ELSE NULL
END
WHERE element_id = ANY(%(elements_ids)s::UUID[])
AND entry_id = ANY(%(entries_ids)s::UUID[])
RETURNING element_id, entry_id, value
),
But now I need to rewrite it in plpgsql. I can pass db_rows_values as array of ROWTYPE or as json but how can I make something like WHEN THEN part?
Ok, I can pass dict as JSON, convert it to rows with json_to_recordset and change WHEN THEN to SET value = (SELECT.. WHERE)
WITH input_rows AS (
SELECT *
FROM json_to_recordset(
'[
{"element_id": 2, "value":"new_value_1"},
{"element_id": 4, "value": "new_value_2"}
]'
) AS x("element_id" int, "value" text)
)
UPDATE table1
SET value = (SELECT value FROM input_rows WHERE input_rows.element_id = table1.element_id)
WHERE element_id IN (SELECT element_id FROM input_rows);
https://dbfiddle.uk/?rdbms=postgres_14&fiddle=f8b6cd8285ec7757e0d8f38a1becb960
In a Postgres (9+) table there is a column of type jsonb with the following json:
{
"dynamicFields":[
{
"name":"040",
"subfields":[
{
"name":"a",
"value":"abc"
},
{
"name":"a",
"value":"xyz"
}
]
}
]
}
I would like to write a query that return only the rows where the field name equals 040 and subfield a equals xyz.
This is as far as I got, so far:
select e.obj from my_table
cross join lateral jsonb_array_elements(my_column-> 'dynamicFields') as e(obj)
where e.obj ->> 'name' = '040' and e.obj ->> 'subfields' #> '{"name": "a", "value": "xyz"}'::jsonb
How should this query be to achieve this?
e.obj ->> 'subfields' has a text result. You'll want to use e.obj -> 'subfields' that returns the jsonb value where the #> operator works. Also the containment checks needs to have another array as the right hand side, so that it will test whether all values in the right array are contained in the left array - it doesn't work to pass the element object directly.
select e.obj from my_table
cross join lateral jsonb_array_elements(my_column-> 'dynamicFields') as e(obj)
where e.obj ->> 'name' = '040' and e.obj -> 'subfields' #> '[{"name": "a", "value": "xyz"}]'::jsonb
-- ^ ^ ^
(online demo)
As you have an equality condition you can use the "contains" operator directly by providing a JSON value of what you want. There is no need to unnest the arrays.
select *
from my_table
where my_column -> 'dynamicFields' #> '[{"name": "040", "subfields": [{"name":"a", "value": "xyz"}]}]'
Starting with Postgres 12 an alternative is to a SQL/JSON path operator:
select *
from my_table
where my_column #? '$.dynamicFields[*] ? (#.name == "040").subfields[*] ? (#.name == "a" && #.value == "xyz")'
I'm confused by how path uses different formats depending on the function in the PostgreSQL JSONB documentation.
If I had a PostgreSQL table foo that looks like
pk
json_obj
0
{"values": [{"id": "a_b", "value": 5}, {"id": "c_d", "value": 6]}
1
{"values": [{"id": "c_d", "value": 7}, {"id": "e_f", "value": 8]}
Why does this query give me these results?
SELECT json_obj, -- {"values": [{"id": "a_b", "value": 5}, {"id": "c_d", "value": 6]}
json_obj #? '$.values[*].id', -- true
json_obj #> '$.values[*].id', -- ERROR: malformed array literal
json_obj #> '{values, 0, id}', -- "a_b"
JSONB_SET(json_obj, '$.annotations[*].id', '"hi"') -- ERROR: malformed array literal
FROM foo;
Specifically, why does #? support $.values[*].id (described on that page in another section) but JSONB_SET uses some other path format {bar,3,baz}?
Ultimately, what I would like to do and don't know how, is to remove non-alphanumeric characters (e.g. underscores in this example) in all id values represented by the path $.values[*].id.
The reason is that the operators have different data types on the right hand side.
SELECT oprname, oprright::regtype
FROM pg_operator
WHERE oprleft = 'jsonb'::regtype
AND oprname IN ('#?', '#>');
oprname | oprright
---------+----------
#> | text[]
#? | jsonpath
(2 rows)
Similarly, the second argument of jsonb_set is a text[].
Now '$.values[*].id' is a valid jsonpath, but not a valid text[] literal.
Thanks for the answers and comments about why the data types were different.
I wanted to post how I solved my problem:
Ultimately, what I would like to do and don't know how, is to remove
non-alphanumeric characters (e.g. underscores in this example) in all
id values represented by the path $.values[*].id.
WITH unnested AS (
SELECT f.pk, JSONB_ARRAY_ELEMENTS(f.json_obj -> 'values') AS value
FROM foo f
),
updated_values AS (
SELECT un.pk, JSONB_SET(un.value, '{id}', TO_JSONB(LOWER(REGEXP_REPLACE(un.value ->> 'id', '[^a-zA-Z0-9]', '', 'g'))), FALSE) AS new_value
FROM unnested un
WHERE value -> 'id' IS NOT NULL -- Had some values that didn't have 'id' keys
)
UPDATE foo f2
SET json_obj = JSONB_SET(f2.json_obj, '{values}', (SELECT JSONB_AGG(uv.new_value) FROM updated_values uv WHERE uv.pk = f2.pk), FALSE)
WHERE JSONB_PATH_EXISTS(f2.json_obj, '$.values[*].id') -- Had some values that didn't have 'id' keys
I want to reach following structure:
["687ccca","da075bd","4194d"]
and try to achieve it like this:
UPDATE table1
SET "ids"= CONCAT ('[', result, ']')
FROM (SELECT string_agg( id::character varying, ', ')
FROM table2 where "name" like '%W11%'
or "name" like '%12%'
or "name" like '%13%'
or "name" like '%5%'
or "name" like '%W9%'
or "name" like '%74%'
) AS result
WHERE "ids"='all';
however I get this:
[("df6bd58d, 26e094b, 637c1, 4a8cf387ff43c5, 9b0bf9f")]
How do I remove ( and ) and add " after each id?
I believe you want to get an JSON array:
demo:db<>fiddle
SELECT
json_agg(your_texts)
FROM
your_table
If you really want text you can cast this result with ::text into a text afterwards:
json_agg(your_texts)::text
I need a help for the below mentioned detail,
I am using Postgres + Spring-Data-JPA. Moreover, I have used the jsonb data type for storing data.
I am trying to execute a query, but it gives me the following error:
ERROR: set-returning functions are not allowed in WHERE
The cause here is that I have added a jsonb condition in the WHERE clause (kindly refer to the below query for more detail).
Query (I have renamed column name just because of hiding the actual column name):
select distinct
jsonb_array_elements(initiated_referral_detail->'listOfAttribue')::jsonb
->> 'firstName' as firstName,
jsonb_array_elements(initiated_referral_detail->'listOfAttribue')::jsonb
->> 'lastName' as lastName,
jsonb_array_elements(initiated_referral_detail->'listOfAttribue')::jsonb
->> 'country' as country
from
tale1 table10_
left outer join
table2 table21_
on table10_.end_user_id=table21_.end_user_id
left outer join
table3 table32_
on table10_.manufacturer_id=table32_.manufacturer_id
where
table21_.end_user_uuid=(
?
)
and table21_.is_active=true
and table32_.manufacturer_uuid=(
?
)
and table32_.is_active=true
and table10_.is_active=true
and table32_.is_active=true
and jsonb_array_elements(initiated_referral_detail->'listOfAttribue')::jsonb
->> 'action' = ('PENDING')
order by
jsonb_array_elements(initiated_referral_detail->'listOfAttribue')::jsonb
->> 'firstName',
jsonb_array_elements(initiated_referral_detail->'listOfAttribue')::jsonb
->> 'lastName'
limit ?
The following line in the above query is causing the error:
and jsonb_array_elements(initiated_referral_detail->'listOfAttribue')::jsonb
->> 'action' = ('PENDING')
Can anyone please guide me about how do fetch data from the inner JSON? Especially in my case I have an inner List and a few elements inside.
I recommend a lateral join with jsonb_array_elements for cases like that. Here is an example:
CREATE TABLE tale1 (
id integer PRIMARY KEY,
initiated_referral_detail jsonb NOT NULL
);
INSERT INTO tale1 VALUES
(1, '{
"name": "one",
"listOfAttribue": [
{ "id": 1, "action": "DONE"},
{ "id": 2, "action": "PENDING" },
{ "id": 3, "action": "ACTIVE" }
]
}');
INSERT INTO tale1 VALUES
(2, '{
"name": "two",
"listOfAttribue": [
{ "id": 1, "action": "DONE"},
{ "id": 2, "action": "ACTIVE" }
]
}');
To find all ids where the associated JSON contains an array element with action = PENDING, you can query like this:
SELECT DISTINCT id
FROM tale1 CROSS JOIN LATERAL
jsonb_array_elements(initiated_referral_detail -> 'listOfAttribue') AS attr
WHERE attr ->> 'action' = 'PENDING';