I have a column in my table containing a JSON statuses_json:
{
"demoStatus" : "true",
"productionStatus": "false"
}
I would like to retrieve a value where the key is LIKE some string.
For example, if I pass in "demo", I want to retrieve the value for the key demoStatus.
Right now I am able to retrieve values when passing the exact key:
`statuses_json->>'productionStatus' = 'false' `;
Extract the keys and run a query on it:
select *
from json_object_keys('{
"demoStatus" : "true",
"productionStatus": "false"
}') k where k like '%demo%';
I don't have a new enough version of postgresql but jsonb_path_query looks interesting, too. Then used statuses_json->>(...) to extract the corresponding value(s).
select statuses_json from your_table
where statuses_json->>(
select prop
from json_object_keys(statuses_json) as prop
where prop like 'demo%'
) = 'false';
Related
I have a column named data and I have to update its content from something like {} to [{}] for each record in table A, I tried to use JSON_ARRAY() but it gives me a quoted
["{\"something\": \"true\"}"]
but I'd like to have something like
[{ "something": "true" }]
How I do it now?
SELECT JSON_ARRAY(data) FROM A;
How should I update it either using JSON_SET() or UPDATE?
You need to use a path to get the data as JSON, rather than referring to the column by itself. The path $ means the top-level object.
update A
SET data = CASE
WHEN data IS NULL THEN '[]' -- NULL becomes empty array
WHEN LEFT(data, 1) = '[' THEN data -- leave existing array alone
ELSE JSON_ARRAY(data->"$") -- put object inside array
END
DEMO
Try using
SELECT JSON_ARRAY_AGG(JSON_OBJECT(data)) from A;
I have a postgresql table called datasource with jsonb column called config. It has the following structure:
{
"url":"some_url",
"password":"some_password",
"username":"some_username",
"projectNames":[
"project_name_1",
...
"project_name_N"
]
}
I would like to transform nested json array projectNames into a map and add a default value for each element from the array, so it would look like:
{
"url":"some_url",
"password":"some_password",
"username":"some_username",
"projectNames":{
"project_name_1": "value",
...
"project_name_N": "value"
}
}
I have selected projectNames from the table using postgresql jsonb operator config#>'{projectNames}', but I have no idea how to perform transform operation.
I think, I should use something like jsonb_object_agg, but it converts all data into a single row.
I'm using PostgreSQL 9.6 version.
You need to first unnest the array, then build a new JSON document from that. Then you can put that back into the column.
update datasource
set config = jsonb_set(config, '{projectNames}', t.map)
from (
select id, jsonb_object_agg(pn.n, 'value') as map
from datasource, jsonb_array_elements_text(config -> 'projectNames') as pn (n)
group by id
) t
where t.id = datasource.id;
The above assumes that there is a primary (or at least unique) column named id. The inner select transforms the array into a map.
Online example: http://rextester.com/GPP85654
are you looking for smth like:
t=# with c(j) as (values('{
"url":"some_url",
"password":"some_password",
"username":"some_username",
"projectNames":[
"project_name_1",
"project_name_N"
]
}
'::jsonb))
, n as (select j,jsonb_array_elements_text(j->'projectNames') a from c)
select jsonb_pretty(jsonb_set(j,'{projectNames}',jsonb_object_agg(a,'value'))) from n group by j
;
jsonb_pretty
------------------------------------
{ +
"url": "some_url", +
"password": "some_password", +
"username": "some_username", +
"projectNames": { +
"project_name_1": "value",+
"project_name_N": "value" +
} +
}
(1 row)
Time: 19.756 ms
if so, look at:
https://www.postgresql.org/docs/current/static/functions-aggregate.html
https://www.postgresql.org/docs/current/static/functions-json.html
Ihave the following JSON field:
{
"Id": "64848e27-c25d-4f15-99db-b476d868b575",
"Associations_": [
"RatingBlockPinDatum"
],
"RatingScenarioId": "00572f95-9b81-4f7e-a359-3df06b093d4d",
"RatingBlockPinDatum": [
{
"Name": "mappedmean",
"PinId": "I.Assessment",
"Value": "24.388",
"BlockId": "Score"
},
{
"Name": "realmean",
"PinId": "I.Assessment",
"Value": "44.502",
"BlockId": "Score"
}]}
I want to update the Value from 24.388 to a new value in the nested array "RatingBlockPinDatum" where Name = "mappedmean".
Any help would be appreciated. I have already tried this but couldn't adapt it to work properly:
[Update nested key with postgres json field in Rails
You could first get one result per element in the RatingBlockPinDatum JSON array (using jsonb_array_length and generate_series) and then filter that result for where the Name key has the value "mappedmean". Then you have the records that need updating. The update itself can be done with jsonb_set:
with cte as (
select id, generate_series(0, jsonb_array_length(info->'RatingBlockPinDatum')-1) i
from mytable
)
update mytable
set info = jsonb_set(mytable.info,
array['RatingBlockPinDatum', cte.i::varchar, 'Value'],
'"99.999"'::jsonb)
from cte
where mytable.info->'RatingBlockPinDatum'->cte.i->>'Name' = 'mappedmean'
and cte.id = mytable.id;
Replace "99.999" with whatever value you want to store in that Value property.
See it run on rextester.com
{
"Actor": {
"knownlanguages": [
"English"
]
}
}
This JSON is stored in JSON columntype of MySQL with name data.
My question is how to check whether knownlanguages key contains value English from JSON datatype of MySQL using query?
Easy:
SELECT * FROM table WHERE JSON_CONTAINS(json, '"English"', "$.Actor.knownlanguages")
or (depending on what you have to do):
SELECT JSON_CONTAINS(json, '"English"', "$.Actor.knownlanguages") FROM table
reference: https://dev.mysql.com/doc/refman/5.7/en/json-search-functions.html
you can use like keyword with wildcard %
SELECT * FROM table where data like "%English%"
NOTE:
this won't search in JSON field knownlanguages, but in column data
I have this queries:
select otherDocKey from bucket use keys '1234'
update bucket use keys 'hear I need the result of the first query' set ...
I want to do something like that:
update bucket use keys (select otherDocKey from bucket use keys '1234') set kuku = 3
but the response I get is:
[
{
"code": 5030,
"msg": "Missing or invalid primary key map[otherDocKey:\"56443\"] of type map[string]interface {}."
}
]
is there a way to do that in one query?
I am using couchbase version 4.5
The problem with your query is that the nested subquery returns a json result. I.e., the query:
select otherDocKey from bucket use keys '1234'
will return a result that looks like:
{"otherDocKey":"This_is_the_key_for_the_other_doc"}
But you don't want json, you just want the value from the json. For that you need to use 'select raw'. E.g.,
select raw otherDocKey from bucket use keys '1234'
That should give you a result that looks like:
["This_is_the_key_for_the_other_doc"]
When the subquery returns that kind of result, the "use keys" should work properly.