I have a document called
player::id
for each player. Where id is the player's id (auto-incremented).
How can I run search operations on the array below such as checking the id's or count? This array is stored in a player's save document.
"inventory": {
"0": {
"count": 1,
"id": 6
},
"1": {
"count": 1,
"id": 13
},
"2": {
"count": 1,
"id": 142
},
"3": {
"count": 1,
"id": 144
}
},
There is no ARRAY in the object you have posted.
if you want search id 13 is present in the document and get the corresponding count you can use OBJECT_PAIRS() function which convert dynamic object into ARRAY described https://docs.couchbase.com/server/current/n1ql/n1ql-language-reference/objectfun.html
SELECT op.val.id, op.val.count, op.name AS pos
FROM default AS d
UNNEST OBJECT_PAIRS(d.inventory) AS op
WHERE op.val.id = 13
OR
SELECT d.*
FROM default AS d
WHERE ANY op IN OBJECT_PAIRS(d.inventory) SATISFIES op.val.id = 13 END;
Related
I have documents in a bucket called blocks in the following format:
{
"random_field": 1,
"transactions": [{
"id": "CCCCC",
"inputs": [{
"tx_id": "AAAAA",
"index": 0
},{
"tx_id": "BBBBB",
"index": 1
}]
}]
}
{
"transactions": [{
"id": "AAAAA",
"outputs": [{
"field1": "value123",
"field2": "value456"
},{
"field1": "ignore",
"field2": "ignore"
}]
}]
}
{
"transactions": [{
"id": "BBBBB",
"outputs": [{
"field1": "ignored",
"field2": "ignored"
},{
"field1": "value999",
"field2": "value888"
}]
}]
}
and I need to map the inputs from the first document to the corresponding outputs of the second and third documents. The way to do it manually is to, for each input, find a transaction with id equal to the input's tx_id, and then get the item from the outputs array based on the index of the input. To exemplify, this is the object I would like to return in this scenario:
{
"random_field": 1,
"transactions": [{
"id": "CCCCC",
"inputs": [{
"tx_id": "AAAAA",
"index": 0,
"output": {
"field1": "value123",
"field2": "value456"
}
},{
"tx_id": "BBBBB",
"index": 1,
"output": {
"field1": "value999",
"field2": "value888"
}
}]
}]
}
I managed to come up with the following query:
SELECT b.random_field,
b.transactions -- how to map this?
FROM blocks b
UNNEST b.transactions t
UNNEST t.inputs input
JOIN blocks `source` ON (ANY tx IN `source`.transactions SATISFIES tx.`id` = input.tx_id END)
UNNEST `source`.transactions source_tx
UNNEST source_tx.outputs o
WHERE (ANY tx IN b.transactions SATISFIES tx.`id` = 'AAAAA' END) LIMIT 1;
I suppose there should be a way to map b.transactions.inputs by using source_tx.outputs, but I couldn't find how.
I came across this other answer, but I don't really understand how it applies to my scenario. Maybe it does, but I am very new to Couchbase, so I am very much lost: How to map array values in one document to another and display in result
Basically you want inline some other document into current document using condition.
Instead of JOINs+ GROUPS use subquery expressions + correlated subqueries. (b.*, "abc" AS transactions, selects all fields of b and adds transactions (if already exist overwrite else adds)
CREATE INDEX ix1 ON blocks (ALL ARRAY FOR ot.id FOR ot IN transactions END);
SELECT b.*,
(SELECT t.*,
(SELECT i.*,
(SELECT RAW ot
FROM blocks AS o
UNNEST o.transactions AS ot
UNNEST ot.outputs AS oto
WHERE i.tx_id = ot.id AND i.`index` = UNNEST_POS(oto))[0] AS output
FROM t.`inputs` AS i) AS inputs
FROM b.transactions AS t) AS transactions
FROM blocks AS b
WHERE ANY tx IN b.transactions SATISFIES tx.`inputs` IS NOT NULL END ;
OR
SELECT b.*,
(SELECT t.*,
(SELECT i.*,
(SELECT RAW ot.outputs[i.`index`]
FROM blocks AS o
UNNEST o.transactions AS ot
WHERE i.tx_id = ot.id
LIMIT 1)[0] AS output
FROM t.`inputs` AS i) AS inputs
FROM b.transactions AS t) AS transactions
FROM blocks AS b
WHERE ANY tx IN b.transactions SATISFIES tx.`inputs` IS NOT NULL END ;
I have a table of cart with 2 columns (user_num, data).
user_num will have the phone number of user and
data will have an array of object like [{ "id": 1, "quantity": 1 }, { "id": 2, "quantity": 2 }, { "id": 3, "quantity": 3 }] here id is product id.
user_num | data
----------+--------------------------------------------------------------------------------------
1 | [{ "id": 1, "quantity": 1 }, { "id": 2, "quantity": 2 }, { "id": 3, "quantity": 3 }]
I want to add more data of products in above array of objects in PostgreSQL.
Thanks!
To add the value use the JSONB array append operator ||
Demo
update
test
set
data = data || '[{"id": 4, "quantity": 4}, {"id": 5, "quantity": 5}]'
where
user_num = 1;
SELECT JSON_query([json], '$') from mytable
Returns fine the contents of [json] field
SELECT JSON_query([json], '$.Guid') from mytable
Returns null
SELECT JSON_query([json], '$.Guid[1]') from mytable
Returns null
I've also now tried:
SELECT JSON_query([json], '$[1].Guid')
SELECT JSON_query([json], '$[2].Guid')
SELECT JSON_query([json], '$[3].Guid')
SELECT JSON_query([json], '$[4].Guid')
and they all return null
So I'm stuck as to figuring out how create the path to get to the info. Maybe SQL Server json_query can't handle the null as the first array?
Below is the string that is stored inside of the [json] field in the database.
[
null,
{
"Round": 1,
"Guid": "15f4fe9d-403c-4820-8e35-8a8c8d78c33b",
"Team": "2",
"PlayerNumber": "78"
},
{
"Round": 1,
"Guid": "8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67",
"Team": "2",
"PlayerNumber": "54"
},
{
"Round": 1,
"Guid": "f53cd74b-ed5f-47b3-aab5-2f3790f3cd34",
"Team": "1",
"PlayerNumber": "23"
},
{
"Round": 1,
"Guid": "30297678-f2cf-4b95-a789-a25947a4d4e6",
"Team": "1",
"PlayerNumber": "11"
}
]
You need to follow the comments below your question. I'll just summarize them:
Probably the most appropriate approach in your case is to use OPENJSON() with explicit schema (the WITH clause).
JSON_QUERY() extracts a JSON object or a JSON array from a JSON string and returns NULL. If the path points to a scalar JSON value, the function returns NULL in lax mode and an error in strictmode. The stored JSON doesn't have a $.Guid key, so NULL is the actual result from the SELECT JSON_query([json], '$.Guid') FROM mytable statement.
The following statements provide a working solution to your problem:
Table:
SELECT *
INTO Data
FROM (VALUES
(N'[
null,
{
"Round": 1,
"Guid": "15f4fe9d-403c-4820-8e35-8a8c8d78c33b",
"Team": "2",
"PlayerNumber": "78",
"TheProblem": "doesn''t"
},
{
"Round": 1,
"Guid": "8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67",
"Team": "2",
"PlayerNumber": "54"
},
{
"Round": 1,
"Guid": "f53cd74b-ed5f-47b3-aab5-2f3790f3cd34",
"Team": "1",
"PlayerNumber": "23"
},
{
"Round": 1,
"Guid": "30297678-f2cf-4b95-a789-a25947a4d4e6",
"Team": "1",
"PlayerNumber": "11"
}
]')
) v (Json)
Statements:
SELECT j.Guid
FROM Data d
OUTER APPLY OPENJSON(d.Json) WITH (
Guid uniqueidentifier '$.Guid',
Round int '$.Round',
Team nvarchar(1) '$.Team',
PlayerNumber nvarchar(2) '$.PlayerNumber'
) j
SELECT JSON_VALUE(j.[value], '$.Guid')
FROM Data d
OUTER APPLY OPENJSON(d.Json) j
Result:
Guid
------------------------------------
15f4fe9d-403c-4820-8e35-8a8c8d78c33b
8e91596b-cc33-4ce7-bfc0-ac3d1dc5eb67
f53cd74b-ed5f-47b3-aab5-2f3790f3cd34
30297678-f2cf-4b95-a789-a25947a4d4e6
I have the following table:
CREATE TABLE api_data (
id bigserial NOT NULL PRIMARY KEY,
content JSONB NOT NULL
);
Now I insert an array like this into the content column:
[{ "id": 44, "name": "address One", "petId": 1234 },
{ "id": 45, "name": "address One", "petId": 1234 },
{ "id": 46, "name": "address One", "petId": 1111 }]
What I want next is to get exactly the objects that have the "petId" set to a given value.
I figured I could do
select val
from api_data
WHERE content #> '[{"petId":1234}]'
But that returns the whole array.
Another thing I found is this query:
select val
from api_data
JOIN LATERAL jsonb_array_elements(content) obj(val) ON obj.val->>'petId' = '1234'
WHERE content #> '[{"petId":1234}]'
Which returns the object I am looking for, but three times which matches the number of elements in the array.
What I actually need is a result like this:
[{ "id": 44, "name": "address One", "petId": 1234 },
{ "id": 45, "name": "address One", "petId": 1234 }]
If you are using Postgres 12, you can use a JSON path expression:
select jsonb_path_query_array(content, '$[*] ? (#.petId == 1234)') as content
from api_data
where content #> '[{"petId":1234}]';
If you are using an older version, you need to unnest and aggregate manually:
select (select jsonb_agg(e)
from jsonb_array_elements(d.content) as t(e)
where t.e #> '{"petId":1234}') as content
from api_data d
where d.content #> '[{"petId":1234}]'
I have a table (log_table) and in this table there is a nested array json field (activities). With using this activities field, I want to normalize my row.
log_table:
- id:long
- activities:json
- date:timestamp
example activities field:
[
{
"actionType":"NOTIFICATION",
"items":null
},
{
"actionType":"MUTATION",
"items":[
{
"id":387015007,
"name":"epic",
"value":{
"currency":"USD",
"amount":1.76
}
},
{
"id":386521039,
"name":"test",
"value":{
"currency":"USD",
"amount":1.76
}
}
]
}
]
As query, I've tried:
select
*
from
log_table l,
json_array_elements(l.activities) elems,
json_array_elements(elems->'items') obj;
With this query, I got error like below:
ERROR: cannot call json_array_elements on a scalar
Is there any suggestion?
The lack of items should be marked as [null], not null. You can use the case expression to correct this, e.g.:
select elems->>'actionType' as action_type, obj
from log_table
cross join jsonb_array_elements(l.activities::jsonb) elems
cross join jsonb_array_elements(case elems->'items' when 'null' then '[null]' else elems->'items' end) obj
action_type | obj
--------------+---------------------------------------------------------------------------------
NOTIFICATION | null
MUTATION | {"id": 387015007, "name": "epic", "value": {"amount": 1.76, "currency": "USD"}}
MUTATION | {"id": 386521039, "name": "test", "value": {"amount": 1.76, "currency": "USD"}}
(3 rows)