Delete values from JSON
Hi, in PG-14, how do I delete the keys "dunsNumber": "NaN":
{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6", "details": [ {
"keyInformation": { "dunsNumber": "NaN", "organizationType": "LIMITED_COMPANY"
} }, { "keyInformation": { "dunsNumber": "123", "organizationType":
"LIMITED_COMPANY" } } ], "nisse": 123 }
So that the result becomes:
{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6", "details": [ {
"keyInformation": { "organizationType": "LIMITED_COMPANY" } }, {
"keyInformation": { "dunsNumber": "123", "organizationType": "LIMITED_COMPANY"
} } ], "nisse": 123 }
Thanks.
--
Andreas Joseph Krogh
CTO / Partner - Visena AS
Mobile: +47 909 56 963
andreas@visena.com <mailto:andreas@visena.com>
www.visena.com <https://www.visena.com>
<https://www.visena.com>
Hi,
If it is jsonb type, you can have a look at the documentation :
https://www.postgresql.org/docs/14/functions-json.html
There are some examples :
|jsonb| |-| |text| → |jsonb|
Deletes a key (and its value) from a JSON object, or matching string
value(s) from a JSON array.
|'{"a": "b", "c": "d"}'::jsonb - 'a'| → |{"c": "d"}|
|'["a", "b", "c", "b"]'::jsonb - 'b'| → |["a", "c"]|
|jsonb| |-| |text[]| → |jsonb|
Deletes all matching keys or array elements from the left operand.
|'{"a": "b", "c": "d"}'::jsonb - '{a,c}'::text[]| → |{}|
|jsonb| |-| |integer| → |jsonb|
Deletes the array element with specified index (negative integers count
from the end). Throws an error if JSON value is not an array.
|'["a", "b"]'::jsonb - 1| → |["a"]|
|jsonb| |#-| |text[]| → |jsonb|
Deletes the field or array element at the specified path, where path
elements can be either field keys or array indexes.
|'["a", {"b":1}]'::jsonb #- '{1,b}'| → |["a", {}]|
Regards
Romain MAZIÈRE
romain.maziere@sigmaz-consilium.fr
+33.535.545.085
+33.781.46.36.96
https://sigmaz-consilium.fr
Le 17/03/2023 à 08:56, Andreas Joseph Krogh a écrit :
Show quoted text
Hi, in PG-14, how do I delete the keys |"dunsNumber": "NaN"|:
|{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6", "details": [ {
"keyInformation": { "dunsNumber": "NaN", "organizationType":
"LIMITED_COMPANY" } }, { "keyInformation": { "dunsNumber": "123",
"organizationType": "LIMITED_COMPANY" } } ], "nisse": 123 }|So that the result becomes:
|{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6", "details": [ {
"keyInformation": { "organizationType": "LIMITED_COMPANY" } }, {
"keyInformation": { "dunsNumber": "123", "organizationType":
"LIMITED_COMPANY" } } ], "nisse": 123 }|Thanks.
--
*Andreas Joseph Krogh*
CTO / Partner - Visena AS
Mobile: +47 909 56 963
andreas@visena.com
www.visena.com <https://www.visena.com>
<https://www.visena.com>
På fredag 17. mars 2023 kl. 11:56:22, skrev Romain MAZIÈRE <
romain.maziere@sigmaz-consilium.fr <mailto:romain.maziere@sigmaz-consilium.fr>>:
Hi,
If it is jsonb type, you can have a look at the documentation :
https://www.postgresql.org/docs/14/functions-json.html
<https://www.postgresql.org/docs/14/functions-json.html>
There are some examples :
jsonb - text → jsonb
Deletes a key (and its value) from a JSON object, or matching string value(s)
from a JSON array.
'{"a": "b", "c": "d"}'::jsonb - 'a' → {"c": "d"}
'["a", "b", "c", "b"]'::jsonb - 'b' → ["a", "c"]
jsonb - text[] → jsonb
Deletes all matching keys or array elements from the left operand.
'{"a": "b", "c": "d"}'::jsonb - '{a,c}'::text[] → {}
jsonb - integer → jsonb
Deletes the array element with specified index (negative integers count from
the end). Throws an error if JSON value is not an array.
'["a", "b"]'::jsonb - 1 → ["a"]
jsonb #- text[] → jsonb
Deletes the field or array element at the specified path, where path elements
can be either field keys or array indexes.
'["a", {"b":1}]'::jsonb #- '{1,b}' → ["a", {}]
Regards
I have looked at the docs, but it doesn't, AFAIU, show how to conditionally
delete a key based on its value, and leave other keys in the JSONB not matching
the value alone.
I want to delete all keys in the (pseudo) path
details.keyInformation[*].dunsNumber if the value is "NaN".
--
Andreas Joseph Krogh
CTO / Partner - Visena AS
Mobile: +47 909 56 963
andreas@visena.com <mailto:andreas@visena.com>
www.visena.com <https://www.visena.com>
<https://www.visena.com>
Am 17.03.2023 um 08:56 schrieb Andreas Joseph Krogh <andreas@visena.com>:
Hi, in PG-14, how do I delete the keys "dunsNumber": "NaN":
{
"sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6",
"details": [
{
"keyInformation": {
"dunsNumber": "NaN",
"organizationType": "LIMITED_COMPANY"
}
},
{
"keyInformation": {
"dunsNumber": "123",
"organizationType": "LIMITED_COMPANY"
}
}
],
"nisse": 123
}So that the result becomes:
{
"sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6",
"details": [
{
"keyInformation": {
"organizationType": "LIMITED_COMPANY"
}
},
{
"keyInformation": {
"dunsNumber": "123",
"organizationType": "LIMITED_COMPANY"
}
}
],
"nisse": 123
}Thanks.
Hi Andreas, this works for me.
➤ 2023-03-18 14:23:51 CET bz@[local]:5432/test
=# WITH data(j)
AS (VALUES (CAST('{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6", "details": [ { "keyInformation": { "dunsNumber": "NaN", "organizationType": "LIMITED_COMPANY" } }, { "keyInformation": { "dunsNumber": "123", "organizationType": "LIMITED_COMPANY" } } ], "nisse": 123 }' AS jsonb)))
SELECT jsonb_pretty(jsonb_set(j
, '{details}'
, (SELECT jsonb_agg(CASE
WHEN ((elem -> 'keyInformation') ->> 'dunsNumber') = 'NaN'
THEN jsonb_set(elem
, '{keyInformation}'
, (elem -> 'keyInformation') - 'dunsNumber')
ELSE elem
END)
FROM jsonb_array_elements(data.j -> 'details') AS elem))) AS nice_output
FROM data
;
nice_output
{
"nisse": 123,
"details": [
{
"keyInformation": {
"organizationType": "LIMITED_COMPANY"
}
},
{
"keyInformation": {
"dunsNumber": "123",
"organizationType": "LIMITED_COMPANY"
}
}
],
"sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6"
}
(1 row)
Time: 0,731 ms
--
Boris
Excellent!
Thanks!
På lørdag 18. mars 2023 kl. 14:26:57, skrev Boris Zentner <bzm@2bz.de
<mailto:bzm@2bz.de>>:
Am 17.03.2023 um 08:56 schrieb Andreas Joseph Krogh <andreas@visena.com>:
Hi, in PG-14, how do I delete the keys "dunsNumber": "NaN":
{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6", "details": [ {
"keyInformation": { "dunsNumber": "NaN", "organizationType": "LIMITED_COMPANY"
} }, { "keyInformation": { "dunsNumber": "123", "organizationType":
"LIMITED_COMPANY" } } ], "nisse": 123 }
So that the result becomes:
{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6", "details": [ {
"keyInformation": { "organizationType": "LIMITED_COMPANY" } }, {
"keyInformation": { "dunsNumber": "123", "organizationType": "LIMITED_COMPANY"
} } ], "nisse": 123 }
Thanks.
Hi Andreas, this works for me.
➤ 2023-03-18 14:23:51 CET bz@[local]:5432/test
=# WITH data(j)
AS (VALUES (CAST('{ "sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6",
"details": [ { "keyInformation": { "dunsNumber": "NaN", "organizationType":
"LIMITED_COMPANY" } }, { "keyInformation": { "dunsNumber": "123",
"organizationType": "LIMITED_COMPANY" } } ], "nisse": 123 }' AS jsonb)))
SELECT jsonb_pretty(jsonb_set(j
, '{details}'
, (SELECT jsonb_agg(CASE
WHEN ((elem -> 'keyInformation') ->> 'dunsNumber') = 'NaN'
THEN jsonb_set(elem
, '{keyInformation}'
, (elem -> 'keyInformation') - 'dunsNumber')
ELSE elem
END)
FROM jsonb_array_elements(data.j -> 'details') AS elem))) AS nice_output
FROM data
;
nice_output
{
"nisse": 123,
"details": [
{
"keyInformation": {
"organizationType": "LIMITED_COMPANY"
}
},
{
"keyInformation": {
"dunsNumber": "123",
"organizationType": "LIMITED_COMPANY"
}
}
],
"sessionId": "ce6fc9d0-5923-4d71-9f7e-ae60f35c45d6"
}
(1 row)
Time: 0,731 ms
--
Boris
--
Andreas Joseph Krogh
CTO / Partner - Visena AS
Mobile: +47 909 56 963
andreas@visena.com <mailto:andreas@visena.com>
www.visena.com <https://www.visena.com>
<https://www.visena.com>