Currently, I have 3 schemas that I want to join. The first schema is the user schema.
{
"_id": {
"$oid": "6147f87ac51f060e8c1bc8c7"
},
"userID": "344431410360090625",
"currency": 72590,
"level": 10,
"exp": 78.5,
"sp": 338,
"location": {
"area": 2,
"floor": 3
},
"inv": {
"Rag Hood#363": {
"emote": "",
"description": "",
"rarity": "Common",
"type": "equipment",
"image": "",
"equipmentType": "helmet",
"level": 20,
"ascension": 0,
"exp": 0,
"quantity": 0,
"expToLevelUp": 0,
"equipped": false
},
"Jericho Jehammad": {
"emote": "<:Jericho:823551572029603840>",
"description": "Enhance your weapons with this mysterious item",
"rarity": "Common",
"type": "special",
"image": "",
"quantity": 7147,
"listed": 6964
},
},
"__v": 0,}
I want to be able to use the Object names of "Rag Hood#363" and "Jericho Jehammad". Firstly the equipment schema is shown below.
{
"_id": {
"$oid": "61474cb047a1b66f2cb1b6d8"
},
"itemName": "Rag Hood",
"stats": {
"defense": {
"flat": 2,
"multi": 0
}
},
"equipmentType": "helmet",
"ascensionRequirements": [],
"statsUpPerLvl": {
"defense": 0.5
}}
Next, the items schema is used to join Jericho Jehammad. Equipment in our database is named with #, with the item number after. While other items are identified with just the itemName.
{
"_id": {
"$oid": "60c5c5e6d2d78c794d33b7ae"
},
"itemName": "Jericho Jehammad",
"emote": "<:Jericho:823551572029603840>",
"description": "",
"rarity": "Common",
"type": "special",
"image": ""}
I want to return an object that overrides the value if the value is present in the equipment and items schemas. If the value is not present, I will use the value present in the user schema.
Related
I have multiple documents saved which look like the one shown below, how would I query against a nested object without the ID to receive the right document?
Here is what I current, but this doesnt work, as I dont have the ID at the start.
db.collection.find({
"details.hardware.id": 5,
})
This is what ive tested and know works but I dont know the ID -
db.collection.find({
"100201.details.hardware.id": 5,
})
Document example -
[
{
"_id": {
"$oid": "6338b69062433c04642d26ca"
},
"100201": {
"broken": true,
"details": {
"build": {
"id": 1018458,
},
"hardware": {
"id": 5,
"model": {
"id": 131,
},
},
"id": 2811302,
"view": {
"id": 781,
}
},
"id": "100201",
"links": [
{
"details": {
"id": 7832,
},
"id": 15012,
},
{
"description": null,
"details": {
"id": 6528,
"model": {
"id": 530
}
},
"id": 15076,
}
],
"ref": false,
}
}
]
any help would be appreciated
I have the document below and I need to iterate through the quarterFinals array and update the first null address property I find to '123'
{
"data": {
"createTournament": {
"_id": "613122d0c7befdeef3b0b571",
"title": "Jogo de truco",
"description": "",
"location": "Batalha na rua",
"type": "Battle",
"players": [],
"status": "PENDING",
"size": 8,
"entryFee": 1,
"prizePool": 20,
"currency": "USD",
"startDate": "2021-09-01",
"endDate": "2021-09-01",
"rounds": {
"quarterFinals": [{
"id": "9fb6f9ca-c06a-4972-b140-0f2425a90707",
"arena": "",
"firstParticipant": {
"address": null,
"battlesWon": 0
},
"secondParticipant": {
"address": null,
"battlesWon": 0
}
}]
}
}
}
}
One way of doing this is
exports.updateData = async (tournamentID,address)=>{
return await db_collection.updateOne({id:tournamentId,rounds:{$elemMatch:{quarterfinals.address:null}}},{$push:{address:address});
};
I have a column in postgresql of type JSON in this column i have this data:
["row1", {
"date": "05/30/2019",
"name": "JOSH",
"discount": "160.00"
}, {
"date": "04/30/2019",
"name": "JOSH",
"discount": "170.00"
}, {
"date": "03/30/2019",
"name": "JOSH",
"discount": "79.00"
}, "row2", {
"date": "05/30/2019",
"name": "MARIO",
"discount": "110.00"
}, {
"date": "04/30/2019",
"name": "MARIO",
"discount": "101.00"
}, {
"date": "03/30/2019",
"name": "MARIO",
"discount": "98.00"
}]
I need extract data in base to key name 'row1' and 'row2' for this example data.
I have already tried the following sentences without success:
select data->>'row1' from discounts;
SELECT *
FROM discounts
WHERE json_arr_record_keys(data->'row1');
SELECT *
FROM discounts
WHERE EXISTS (
SELECT 1
FROM json_array_elements(data->'row1') elem
);
for now always display empty result, i need by example extract 'row1'
{
"date": "05/30/2019",
"name": "JOSH",
"discount": "160.00"
}, {
"date": "04/30/2019",
"name": "JOSH",
"discount": "170.00"
}, {
"date": "03/30/2019",
"name": "JOSH",
"discount": "79.00"
}
I have this document in my mongodb collection:
{
"_id": "YLRM9Wi7f6tp6qNbS",
"sessionId": "hLDkkJKR4Muik6tbe",
"userId": "ZYoG4cH8HcCDPMDGr",
"shopId": "J8Bhq3uTtdgwZx3rz",
"workflow": {
"status": "",
"workflow": ["String"]
},
"billing": [Object],
"discount": 0,
"tax": 0,
"items": [
{
"_id": "JwR233jD2c4HKeYKq",
"shopId": "J8Bhq3uTtdgwZx3rz",
"productId": "BCTMZ6HTxFSppJESk",
"quantity": 1,
"product": {
"_id": "BCTMZ6HTxFSppJESk",
"title": "Product",
"shopId": "J8Bhq3uTtdgwZx3rz",
"ancestors": [],
"createdAt": "2018-01-12T10:22:18.853Z",
"description": "",
"handle": "product",
"hashtags": [
"rpjCvTBGjhBi2xdro",
"cseCBSSrJ3t8HQSNP"
],
"price": {
"range": "12.99 - 19.99",
"min": 12.99,
"max": 19.99
},
"isVisible": true,
"isLowQuantity": false,
"isSoldOut": false,
"isBackorder": false,
"metafields": [
{
"key": "Material",
"value": "Cotton"
},
{
"key": "Quality",
"value": "Excellent"
}
],
"pageTitle": "",
"type": "simple",
"updatedAt": "2018-01-12T10:22:18.854Z",
"vendor": "Vendor_Name",
"originCountry": "country",
"requiresShipping": true,
"isDeleted": false,
"template": "productDetailSimple",
"workflow": {
"status": "new"
}
},
"variants": {},
"title": "Product",
"type": "simple",
"parcel": {
"weight": 25,
"height": 3,
"width": 10,
"length": 10
},
"shippingMethod": {
"shopId": "J8Bhq3uTtdgwZx3rz",
"shipmentQuotes": [Object],
"shipmentQuotesQueryStatus": {
"requestStatus": "success",
"numOfShippingMethodsFound": 11
},
"_id": "s3EJXrLsZe73RbLiD",
"address": {},
"shipmentMethod": {},
"paymentId": "nyybR5BNvDDrJrtwe",
"items": [
{
"_id": "JwR233jD2c4HKeYKq",
"productId": "BCTMZ6HTxFSppJESk",
"shopId": "J8Bhq3uTtdgwZx3rz",
"variantId": "CJoRBm9vRrorc9mxZ"
}
],
"workflow": {
"status": "new",
"workflow": ["String"]
}
},
"workflow": {
"status": "new",
"workflow": ["String"]
}
}
],
"shipping": [Object],
"email": "johndoe#mail.com",
"cartId": "L6sSGv4NR9rpbDbsd",
"createdAt": "2018-01-12T10:22:18.850Z"
}
The field items is an array of objects, I would like to update just a part of the object specifically the workflow field without touching other part of the objects in items array.
I was able to do this using a loop, but it caused some tests to fail. Is there a better of doing this with using a loop?
Thank you.
You can try findAndModify method.
Traverse to the workflow key ad try to set the value.
Hope this would help.
I'm new to elasticsearch, managed to set it up and import recordset from my mongodb collection using the river plugin. For a start, I want to query against the "desc" field but just can't manage to get the query .. not sure if the problem is driven by the way index was defined.. can anyone help please?
Sample recordset in elastic search looks like this
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 107209,
"max_score": 1,
"hits": [
{
"_index": "shiv",
"_type": "shiv",
"_id": "iG1eIzN7RGO7hFfxTlnLuA",
"_score": 1,
"_source": {
"_id": {
"$oid": "50901d7f485bf7bd1c000021"
},
"brand": "",
"category": {
"$ref": "categories",
"$id": {
"$oid": "4fbd2221758cb11d14000174"
}
},
"comments": [],
"count_comment": 0,
"count_fav": 2,
"count_hotness": 1.46,
"count_rekick": 0,
"count_share": 0,
"country": {
"$ref": "countries",
"$id": {
"$oid": "4fec98f7758cb18c6e0002c9"
}
},
"currency": "pound",
"desc": "A men's automatic watch, this Seamaster Bond model features a Co-Axial escapement and date function. Its blue dial is teamed with a stainless steel case and bracelet for a look that's sporty and refined.",
"gender": "male",
"ident": "omega-seamaster-diver-bond-men-s-automatic-watch---ernest-jones-1351622015",
"img_url": "http://s7ondemand4.scene7.com/is/image/Signet/5735793?$detail$",
"lifestyles": [
{
"$ref": "lifestyles",
"$id": {
"$oid": "508ff6ca485bf73112000060"
}
}
],
"location": "United Kingdom",
"owner": {
"$ref": "accounts",
"$id": {
"$oid": "50742fd8485bf74b7a00213f"
}
},
"price": 2400,
"store": "ernestjones.co.uk",
"tags": [
"ernest-jones",
"bond"
],
"timestamp_creation": 1351622015,
"timestamp_exp": 1356825600,
"timestamp_update": 1351622015,
"title": "Omega Seamaster Diver Bond men's automatic watch - Ernest Jones",
"url": "http%3A%2F%2Fwww.ernestjones.co.uk%2Fwebstore%2Fd%2F5735793%2Fomega%20seamaster%20diver%20bond%20men%27s%20automatic%20watch%2F%3Futm_source%3Dgooglebase%26utm_medium%3Dfeedmanager%26cm_mmc%3DFroogle-_-CKB-_-nurses_fobs-_-watches%26cm_mmca1%3Domega%26cm_mmca2%3Dmale%26cm_mmca3%3Dadult"
}
}
]
}
}
The mapping of the index "shiv" looks like
{
"shiv": {
"properties": {
"$oid": {
"type": "string"
}
}
}
}
Thanks again
There are lots of ways to query, have you tried a match query?
Using curl or a rest client of your choice...
http://[host]:9200/[index_name]/[doc_type]/_search
{
"query" : {
"match" : {
"desc" : "some value you want to find in desc"
}
}
}