I am using postgres 10
I have a JsonArray in a jsonb column named boards.
I have a GIN index on the jsonb column.
The column values look like this:
[{"id": "7beacefa-9ac8-4fc6-9ee6-8ff6ab1a097f"},
{"id": "1bc91c1c-b023-4338-bc68-026d86b0a140"}]
I want to delete in all the rows in the column the element
{"id": "7beacefa-9ac8-4fc6-9ee6-8ff6ab1a097f"} if such exists(update the column).
I saw that it is possible to delete an element by position with operator #- (e.g. #-'{1}') and I know you can get the position of an element using "with ordinality" but i cant manage to combine the two things.
How can i update the jsonarray?
One option would be using an update statement containing a query selecting all the sub-elements except {"id": "7beacefa-9ac8-4fc6-9ee6-8ff6ab1a097f"} by using an inequality, and then applying jsonb_agg() function to aggregate those sub-elements :
UPDATE user_boards
SET boards = (SELECT jsonb_agg(j.elm)
FROM user_boards u
CROSS JOIN jsonb_array_elements(boards) j(elm)
WHERE j.elm->>'id' != '7beacefa-9ac8-4fc6-9ee6-8ff6ab1a097f'
AND u.ID = user_boards.ID
GROUP BY ID)
where ID is an assumed identity(unique) column of the table.
Demo
Related
For simplicity, a row of table looks like this:
key: "z06khw1bwi886r18k1m7d66bi67yqlns",
reference_keys: {
"KEY": "1x6t4y",
"CODE": "IT137-521e9204-ABC-TESTE"
"NAME": "A"
},
I have a jsonb object like this one {"KEY": "1x6t4y", "CODE": "IT137-521e9204-ABC-TESTE", "NAME": "A"} and I want to search for a query in the values of any key. If my query is something like '521e9204' I want it to return the row that reference_keys has '521e9204' in any value. Basicly the keys don't matter for this scenario.
Note: The column reference_keys and so the jsonb object, are always a 1 dimensional array.
I have tried a query like this:
SELECT * FROM table
LEFT JOIN jsonb_each_text(table.reference_keys) AS j(k, value) ON true
WHERE j.value LIKE '%521e9204%'
The problem is that it duplicates rows, for every key in the json and it messes up the returned items.
I have also thinked of doing something like this:
SELECT DISTINCT jsonb_object_keys(reference_keys) from table;
and then use a query like:
SELECT * FROM table
WHERE reference_keys->>'CODE' like '%521e9204%'
It seems like this would work but I really don't want to rely on this solution.
You can rewrite your JOIN to an EXISTS condition to avoid the duplicates:
SELECT t.*
FROM the_table t
WHERE EXISTS (select *
from jsonb_each_text(t.reference_keys) AS j(k, value)
WHERE j.value LIKE '%521e9204%');
If you are using Postgres 12 or later, you can also use a JSON path query:
where jsonb_path_exists(reference_keys, 'strict $.** ? (# like_regex "521e9204")')
I have a doubt with modification of jsonb data type in postgres
Basic setup:-
array=> ["1", "2", "3"]
and now I have a postgresql database with an id column and a jsonb datatype column named lets just say cards.
id cards
-----+---------
1 {"1": 3, "4": 2}
thats the data in the table named test
Question:
How do I convert the cards of id->1 FROM {"1": 3, "4": 2} TO {"1": 4, "4":2, "2": 1, "3": 1}
How I expect the changes to occur:
From the array, increment by 1 all elements present inside the array that exist in the cards jsonb as a key thus changing {"1": 3} to {"1": 4} and insert the values that don't exist as a key in the cards jsonb with a value of 1 thus changing {"1":4, "4":2} to {"1":4, "4":2, "2":1, "3":1}
purely through postgres.
Partial Solution
I asked a senior for support regarding my question and I was told this:-
Roughly (names may differ): object keys to explode cards, array_elements to explode the array, left join them, do the calculation, re-aggregate the object. There may be a more direct way to do this but the above brute-force approach will work.
So I tried to follow through it using these two functions json_each_text(), json_array_elements_text() but ended up stuck halfway into this as well as I was unable to understand what they meant by left joining two columns:-
SELECT jsonb_each_text(tester_cards) AS each_text, jsonb_array_elements_text('[["1", 1], ["2", 1], ["3", 1]]') AS array_elements FROM tester WHERE id=1;
TLDR;
Update statement that checks whether a range of keys from an array exist or not in the jsonb data and automatically increments by 1 or inserts respectively the keys into the jsonb with a value of 1
Now it might look like I'm asking to be spoonfed but I really haven't managed to find anyway to solve it so any assistance would be highly appreciated 🙇
The key insight is that with jsonb_each and jsonb_object_agg you can round-trip a JSON object in a subquery:
SELECT id, (
SELECT jsonb_object_agg(key, value)
FROM jsonb_each(cards)
) AS result
FROM test;
(online demo)
Now you can JOIN these key-value pairs against the jsonb_array_elements of your array input. Your colleague was close, but not quite right: it requires a full outer join, not just a left (or right) join to get all the desired object keys for your output, unless one of your inputs is a subset of the other.
SELECT id, (
SELECT jsonb_object_agg(COALESCE(obj_key, arr_value), …)
FROM jsonb_array_elements_text('["1", "2", "3"]') AS arr(arr_value)
FULL OUTER JOIN jsonb_each(cards) AS obj(obj_key, obj_value) ON obj_key = arr_value
) AS result
FROM test;
(online demo)
Now what's left is only the actual calculation and the conversion to an UPDATE statement:
UPDATE test
SET cards = (
SELECT jsonb_object_agg(
COALESCE(key, arr_value),
COALESCE(obj_value::int, 0) + (arr_value IS NOT NULL)::int
)
FROM jsonb_array_elements_text('["1", "2", "3"]') AS arr(arr_value)
FULL OUTER JOIN jsonb_each_text(cards) AS obj(key, obj_value) ON key = arr_value
);
(online demo)
I have a postgresql data with values (it is jsonb type column):
SELECT data FROM orders;
[
{
"food_id": "1",
"table": "A12",
},
{
"food_id": "2",
"table": "A14",
}
]
I can easily SELECT by providing data as it is, but how to convert it into simplified ?
My expected result:
SELECT ??? as food_tables FROM orders;
["A12", "A14"]
I personally still did not understand how jsonb_array_elements() works.
Thanks!
If you are using Postgres 12 or later, you can use jsonb_path_query_array()
select jsonb_path_query_array(data, '$[*].table') as food_tables
from orders
You could perform a lateral cross join with the unnested array elements and extract the attributes:
SELECT jsonb_agg(d.elem -> 'table')
FROM orders
CROSS JOIN LATERAL jsonb_array_elements(orders.data) AS d(elem)
GROUP BY orders.id;
Use array_agg instead of jsonb_agg if you want a PostgreSQL array.
It is a mistake to model tabular data as a JSON array. Change your data model so that each array element becomes a row in a database table.
i have a table with a jsonb column and documents are like these(simplified)
{
"a": 1,
"rg": [
{
"rti": 2
}
]
}
I want to filter all the rows which has 'rg' field and there is at least one 'rti'field in the array.
My current solution is
log->>'rg' ilike '%rti%'
Is there another approach, probably a faster solution exists.
Another approach would be applying jsonb_each to the jsonb object and then jsonb_array_elements_text to the extracted value from jsonb_each method :
select id, js_value2
from
(
select (js).value as js_value, jsonb_array_elements_text((js).value) as js_value2,id
from
(
select jsonb_each(log) as js, id
from tab
) q
where (js).key = 'rg'
) q2
where js_value2 like '%rti%';
Demo
I want to be able to use the same query syntax to return both rows
Given a jsonb column, named 'tags' in a table called 'qux' with sample data in row 1:
{
"foo": ["1","2"]
}
and row 2:
{
"foo": ["3"]
}
and the pre-requisite index created on the column 'tags':
CREATE INDEX tag_idx ON tags USING GIN (tags);
When I run the following query:
SELECT count(*) FROM "qux" WHERE tags #> '{"foo": ["1"]}'
I expect to get a row back, which is correct.
If I run:
SELECT count(*) FROM "qux" WHERE tags #> '{"foo": ["3"]}'
I do not get any rows back, which feels unexpected. I can get the row back if I remove the square brackets on the second example, however that syntax breaks the first example.
Is this a known bug, or a problem with indexing? The version of postgres is 9.5