I have a document that looks like this:
"userName": "sample name",
"values": [
{
"values": [
{
"brand": "SOLIGNUM CLEAR",
"name": "Solignum Colourless AZ",
"price": "569",
"qip": "30.00",
"sku": "1L",
"unit": "Piece"
}
]
},
{
"values": [
{
"brand": "FirePRO",
"name": "FirePRO",
"price": "419.75",
"qip": "30.00",
"sku": "1L",
"unit": "Cartons"
},
{
"brand": "SOLIGNUM AEROSOL",
"name": "Solignum Colourless AZ Aerosol",
"price": "397",
"qip": "30.00",
"sku": "500ML",
"unit": "Piece"
}
]
}
]
My query looks like this:
SELECT orders.unit, orders.sku, orders.name, orders.srp, TONUMBER(orders.price) AS price, orders.qip as quantity
FROM jdi stoCallLog
UNNEST stoCallLog.`values`[0].`values` AS orders
Query result looks like this
I have tried changing the unnest block into this:
UNNEST stoCallLog.`values`[1].`values` AS orders
selects only the 2nd array value
Also like this:
UNNEST stoCallLog.`values`.`values` AS orders
not possible i guess, it returns none
I need a way to select all of the values at once. Is there any way to do it?
Solved by modifying the UNNEST block to:
UNNEST `values` as rawOrders
UNNEST rawOrders.`values` as orders
Related
Starting out with JSONB data type and I'm hoping someone can help me out.
I have a table (properties) with two columns (id as primary key and data as jsonb).
The data structure is:
{
"ProductType": "ABC",
"ProductName": "XYZ",
"attributes": [
{
"name": "Color",
"type": "STRING",
"value": "Silver"
},
{
"name": "Case",
"type": "STRING",
"value": "Shells"
},
...
]
}
I would like to update the value of a specific attributes element by name for a row with a given id. For example, for the element with "name"="Case" change the value to "Glass". So it ends up like
{
"ProductType": "ABC",
"ProductName": "XYZ",
"attributes": [
{
"name": "Color",
"type": "STRING",
"value": "Silver"
},
{
"name": "Case",
"type": "STRING",
"value": "Glass"
},
...
]
}
Is this possible with this structure using SQL?
I have created table structure if any of you would like to give it a shot.
dbfiddle
Use the jsonb concatenation operator, ||, to replace keys on the fly:
WITH properties (id, data) AS (
values
(1, '{"ProductType": "ABC","ProductName": "XYZ","attributes": [{"name": "Color","type": "STRING","value": "Silver"},{"name": "Case","type": "STRING","value": "Shells"}]}'::jsonb),
(2, '{"ProductType": "ABC","ProductName": "XYZ","attributes": [{"name": "Color","type": "STRING","value": "Red"},{"name": "Case","type": "STRING","value": "Shells"}]}'::jsonb)
)
SELECT id,
data||
jsonb_build_object(
'attributes',
jsonb_agg(
case
when attribs->>'name' = 'Case' then attribs||'{"value": "Glass"}'::jsonb
else attribs
end
)
) as data
FROM properties m
CROSS JOIN LATERAL JSONB_ARRAY_ELEMENTS(data->'attributes') as a(attribs)
GROUP BY id, data
Updated fiddle
I had to change one of the fields of my collection in mongoDB from an object to array of objects containing a lot of data. New documents get inserted without any problem, but when attempted to get old data, it never maps to the original DTO correctly and runs into errors.
subject is the field that was changed in Students collection.
I was wondering is there any way to update all the records so they all have the same data type, without losing any data.
The old version of Student:
{
"_id": "5fb2ae251373a76ae58945df",
"isActive": true,
"details": {
"picture": "http://placehold.it/32x32",
"age": 17,
"eyeColor": "green",
"name": "Vasquez Sparks",
"gender": "male",
"email": "vasquezsparks#orbalix.com",
"phone": "+1 (962) 512-3196",
"address": "619 Emerald Street, Nutrioso, Georgia, 6576"
},
"subject":
{
"id": 0,
"name": "math",
"module": {
"name": "Advanced",
"semester": "second"
}
}
}
This needs to be updated to the new version like this:
{
"_id": "5fb2ae251373a76ae58945df",
"isActive": true,
"details": {
"picture": "http://placehold.it/32x32",
"age": 17,
"eyeColor": "green",
"name": "Vasquez Sparks",
"gender": "male",
"email": "vasquezsparks#orbalix.com",
"phone": "+1 (962) 512-3196",
"address": "619 Emerald Street, Nutrioso, Georgia, 6576"
},
"subject": [
{
"id": 0,
"name": "math",
"module": {
"name": "Advanced",
"semester": "second"
}
},
{
"id": 1,
"name": "history",
"module": {
"name": "Basic",
"semester": "first"
}
},
{
"id": 2,
"name": "English",
"module": {
"name": "Basic",
"semester": "second"
}
}
]
}
I understand there might be a way to rename old collection, create new and insert data based on old one in to new one. I was wondering for some direct way.
The goal is to turn subject into an array of 1 if it is not already an array, otherwise leave it alone. This will do the trick:
update args are (predicate, actions, options).
db.foo.update(
// Match only those docs where subject is an object (i.e. not turned into array):
{$expr: {$eq:[{$type:"$subject"},"object"]}},
// Actions: set subject to be an array containing $subject. You MUST use the pipeline version
// of the update actions to correctly substitute $subject in the expression!
[ {$set: {subject: ["$subject"] }} ],
// Do this for ALL matches, not just first:
{multi:true});
You can run this converter over and over because it will ignore converted docs.
If the goal is to convert and add some new subjects, preserving the first one, then we can set up the additional subjects and concatenate them into one array as follows:
var mmm = [ {id:8, name:"CORN"}, {id:9, name:"DOG"} ];
rc = db.foo.update({$expr: {$eq:[{$type:"$subject"},"object"]}},
[ {$set: {subject: {$concatArrays: [["$subject"], mmm]} }} ],
{multi:true});
I have a JSONB column in my PostgreSQL database. The data looks like this:
{
"cars":
[
{
"id": 1,
"brand": "BMW"
"parts":
[
{
"partId": 5,
"type": "battery"
}
]
},
{
"id": 2,
"brand": "Mercedes"
"parts":
[
{
"partId": 5,
"type": "battery"
},
{
"partId": 6,
"type": "engine"
}
]
}
]
}
Is there any way that I can search for all cars that have a part with type "battery"? How can I search inside of cars array and then inside of the parts array of each car element?
As it's not clear in your question that what output you want. So I am assuming that you want id and brand name in output:
so you try this:
select distinct x.y->>'id', x.y->>'brand'
from test
cross join lateral jsonb_array_elements(data->'cars') x(y)
cross join lateral jsonb_array_elements(x.y->'parts') a(b)
where a.b->>'type'='battery'
DEMO
I have a big issue, i don't know what to do...
What I wanna is to find all objects with Object2 name. I have Object 2 with name element.
What I wanna is to find all objects with the value X in the element name inside Object2. in the example is the value name is ="IWANTALLOBJECTSWITHTHISNAME"
the Json structure.
"objects": [
{
"_id": "5c69a62cf9acf00d00dbc02d",
"date": "2222-02-24T00:00:00.000Z",
"description": "22",
"Object1": {
"_id": "5c69a62cf9acf00d00dbc02b",
"date": "2222-02-24T00:00:00.000Z",
"user": "5c30fd5890bbd24a1c46c7ee",
"positionsObject1": [
{
"id": 1,
"Object2": {
"_id":"5c69a62cf9acf00d00dbc02c",
"name": "IWANTALLOBJECTSWITHTHISNAME"
},
"description": "22",
"value": 22
}
],
"id": 13,
"__v": 0
},
"user": "5c30fd5890bbd24a1c46c7ee",
"id": 7,
"__v": 0
}
]
I'm new in mongoDB and this query is really really hard. I tried everything. Thank very much for the help.
You can specify the path using dot notation:
db.col.find({ "objects.Object1.positionsObject1.Object2.name": "IWANTALLOBJECTSWITHTHISNAME" })
I have the following structure in MongoDB and I try to remove the documents that contains specific tags. I can't seem to be able to get the $pull work.
In this example, I would like to pull the nested doc that has has tags :["BB"]
Any help will be appreciated !
{
"_id": 123,
"socialItems": {
"facebook": [{
"name": "firstFacebook",
"id": 2
}, {
"name": "secondFB",
"id": 43
}],
"instagram": [{
"name": "firstNstagram",
"id": 4
}],
"pc": [{
"name": "firstPC",
"id": 55,
"tags": [
"ab"
]
}, {
"name": "secondPC",
"id": 66,
"tags": [
"BB"
]
}]
}
}
I assume you are trying to drop the nested 'pc' doc, from the array? You also don't mention if you're using a specific driver for this, so I've assumed you're running this in the Mongo shell.
The following will remove documents from the 'pc' property, when containing the 'BB' tag.
db.collectionName.update({'socialItems.pc.tags': 'BB'}, {$pull: {'socialItems.pc': {tags: 'BB'}}})