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.
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->"$") -- put object inside array
END
DEMO
Try using
SELECT JSON_ARRAY_AGG(JSON_OBJECT(data)) from A;
I have made a query on a data and it returns a result:
[ RowDataPacket { 'COUNT(t.id)': 2 } ]
How can I access it like the count number?
I have tried result.COUNT(t.id) but it isn't worked.
The way the object is named, you need to access it like so:
result[0]["COUNT(t.id)"]
I would rather name the columns explicitly by using aliases in the query:
select count(t.id) as count_of_id
from ...
I have a column in my table containing a JSON statuses_json:
{
"demoStatus" : "true",
"productionStatus": "false"
}
I would like to retrieve a value where the key is LIKE some string.
For example, if I pass in "demo", I want to retrieve the value for the key demoStatus.
Right now I am able to retrieve values when passing the exact key:
`statuses_json->>'productionStatus' = 'false' `;
Extract the keys and run a query on it:
select *
from json_object_keys('{
"demoStatus" : "true",
"productionStatus": "false"
}') k where k like '%demo%';
I don't have a new enough version of postgresql but jsonb_path_query looks interesting, too. Then used statuses_json->>(...) to extract the corresponding value(s).
select statuses_json from your_table
where statuses_json->>(
select prop
from json_object_keys(statuses_json) as prop
where prop like 'demo%'
) = 'false';
{
"Actor": {
"knownlanguages": [
"English"
]
}
}
This JSON is stored in JSON columntype of MySQL with name data.
My question is how to check whether knownlanguages key contains value English from JSON datatype of MySQL using query?
Easy:
SELECT * FROM table WHERE JSON_CONTAINS(json, '"English"', "$.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've been trying to use dynamic columns with an instance of MariaDB v10.1.12.
First, I send the following query:
INSERT INTO savedDisplays (user, name, body, dataSource, params) VALUES ('Marty', 'Hey', 'Hoy', 'temp', COLUMN_CREATE('type', 'tab', 'col0', 'champions', 'col1', 'averageResults'));
Where params' type was defined as a blob, just like the documentation suggests.
The query is accepted, the table updated. If I COLUMN_CHECK the results, it tells me it's fine.
But when I try to select:
"SELECT COLUMN_JSON(params) AS params FROM savedDisplays;
I get a {type: "Buffer", data: Array} containing binary returned to me, instead of the {"type":"tab", "col0":"champions", "col1":"averageResults"} I expect.
EDIT: I can use COLUMN_GET just fine, but I need every column inside the params field, and I need to check the type property first to know what kind of and how many columns there are in the JSON / params field. I could probably make it work still, but that would require multiple queries, as opposed to only one.
Any ideas?
Try:
SELECT CONVERT(COLUMN_JSON(params) USING utf8) AS params FROM savedDisplays
In MariaDB 10 this works at every table:
SELECT CONVERT(COLUMN_JSON(COLUMN_CREATE('t', text, 'v', value)) USING utf8)
as json FROM test WHERE 1 AND value LIKE '%12345%' LIMIT 10;
output in node.js
[ TextRow { json: '{"t":"test text","v":"0.5339044212345805"}' } ]