I'm using SQL azure and storing JSON data in a varchar column. Can anyone advise how I can update a value stored in array? I would like to change status from Active to Disabled for example.
JSON Sample
{
"services": [
{
"attributes": {
"Status": "Active",
"Additional_Notes": ""
},
"type": "Type1",
"description": "a",
"reference": "312ce8e7-9913-4758-82af-10551d63920a"
},
{
"attributes": {
"ContractNo": "1234",
"Additional_Notes": ""
},
"type": "Type2",
"description": "b",
"reference": "962c7bc6-882c-47ee-b581-c5d3436d4f99"
},
{
"attributes": {
"ContractNo": "5678",
"Additional_Notes": "test note 123"
},
"type": "Type3",
"description": "b",
"reference": "86fc37ed-59d3-42c4-a0be-ca54bfdc0fec"
}
]
}
I currently use JSON_VALUE and JSON_QUERY to query the data which is fine, but not idea how to use JSON_MODIFY to edit the value. I know the reference but not sure how to get to the value.
Any advice would be much appreciated.
Ps. I'm stuck with the JSON in this format and cannot change it.
You need to use JSON_Modify to change JSON, for the given question, you can do like below
declare #json varchar(1000)='{
"services": [
{
"attributes": {
"Status": "Active",
"Additional_Notes": ""
},
"type": "Type1",
"description": "a",
"reference": "312ce8e7-9913-4758-82af-10551d63920a"
},
{
"attributes": {
"ContractNo": "1234",
"Additional_Notes": ""
},
"type": "Type2",
"description": "b",
"reference": "962c7bc6-882c-47ee-b581-c5d3436d4f99"
},
{
"attributes": {
"ContractNo": "5678",
"Additional_Notes": "test note 123"
},
"type": "Type3",
"description": "b",
"reference": "86fc37ed-59d3-42c4-a0be-ca54bfdc0fec"
}
]
}'
set #json= JSON_modify(#json,'$.services[0].attributes.Status','Any new value')
select #json
You will need to first understand what are the JSON functions available and what they can do.For this ,this link helped me:The Ultimate SQL Server JSON Cheat Sheet
Some more references to update multiple elements:
SQL Server JSON_Modify, How to Update all?
Related
I know I am close on this, the error messages are getting nicer. Currently, I can call a similar call to update the seller's email no issue via Postman currently, working on updating the amount and associated objects. Something in my request format is off.
Is my breakdown section in the correct location? The amount_breakdown documentation looks like it is on same level as value and currency_code, so does it need to move into that section.
Here's my request JSON via Postman:
[
{
"op": "replace",
"path": "/purchase_units/#reference_id=='default'/amount",
"value": {
"currency_code": "CAD",
"value": "2",
"amount": {
"currency_code": "CAD",
"value": "2",
"breakdown": {
"item_total": {
"currency_code": "CAD",
"value": "2"
},
"tax_total": {
"value": "0",
"currency_code": "CAD"
}
}
},
"items": [
{
"name": "First Product Name",
"description": "Optional descriptive text..",
"unit_amount": {
"currency_code": "CAD",
"value": "2"
},
"tax": {
"value": "0",
"currency_code": "CAD"
},
"quantity": "1"
}
]
}
}
]
RESPONSE:
{
"name": "UNPROCESSABLE_ENTITY",
"details": [
{
"field": "/purchase_units/#reference_id=='default'/amount/breakdown/item_total",
"location": "body",
"issue": "ITEM_TOTAL_REQUIRED",
"description": "If item details are specified (items.unit_amount and items.quantity) corresponding amount.breakdown.item_total is required."
}
],
"message": "The requested action could not be performed, semantically incorrect, or failed business validation.",
"debug_id": "acecd3643c994",
"links": [
{
"href": "https://developer.paypal.com/docs/api/orders/v2/#error-ITEM_TOTAL_REQUIRED",
"rel": "information_link",
"method": "GET"
}
]
}
Thanks for any help!
Different variations of objects.
I can get the other PATCH operation working no issue but it is much simpler in object structure
There should be no amount key under the /amount path, and the items array does not belong at that /amount path either.
I tried to use the Azure Cost Management - Query Usage API to get details (certain columns) on all costs for a given subscription. The body I use for the request is
{
"type": "Usage",
"timeframe": " BillingMonthToDate ",
"dataset": {
"granularity": "Daily",
"configuration": {
"columns": [
"MeterCategory",
"CostInBillingCurrency",
"ResourceGroup"
]
}
}
But the response I get back is this:
{
"id": "xxxx",
"name": "xxxx",
"type": "Microsoft.CostManagement/query",
"location": null,
"sku": null,
"eTag": null,
"properties": {
"nextLink": null,
"columns": [
{
"name": "UsageDate",
"type": "Number"
},
{
"name": "Currency",
"type": "String"
} ],
"rows": [
[
20201101,
"EUR"
],
[
20201102,
"EUR"
],
[
20201103,
"EUR"
],
...
]
}
The JSON continues listing all the dates with the currency.
When I use the dataset.aggregation or dataset.grouping clauses in the JSON, I do get costs returned in my JSON but then I don't get the detailed column information that I want. And of course it is not possible to combine these 2 clauses with the dataset.columns clause. Anyone have any idea what I'm doing wrong?
I found a solution without using the dataset.columns clause (which might just be a faulty clause?). By grouping the data according tot the columns I want, I can also get the data for those column values:
{
"type": "Usage",
"timeframe": "BillingMonthToDate",
"dataset": {
"granularity": "Daily",
"aggregation": {
"totalCost": {
"name": "PreTaxCost",
"function": "Sum"
}
},
"grouping": [
{
"type": "Dimension",
"name": "SubscriptionName"
},
{
"type": "Dimension",
"name": "ResourceGroupName"
}
,
{
"type": "Dimension",
"name": "meterSubCategory"
}
,
{
"type": "Dimension",
"name": "MeterCategory"
}
]
}
I am starting with elasticsearch now and i don't know anything about it.
I have folowing .JSON:
[
{
"label": "Admin Law",
"tags": [
"#admin"
],
"owner": "generalTopicTagText"
},
{
"label": "Judicial review",
"tags": [
"#JR"
],
"owner": "generalTopicTagText"
},
{
"label": "Admiralty/Shipping",
"tags": [
"#shipping"
],
"owner": "generalTopicTagText"
}
]
My mapping is this:
{
"topic_tax": {
"properties": {
"label": {
"type": "string",
"index": "not_analyzed"
},
"tags": {
"type": "string",
"index_name": "tag"
},
"owner": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
I need to put the first .Json into Elasticsearch, but it does not work.
All I know is that i am defining only 1 of this:
{
"label": "Judicial review",
"tags": [
"#JR"
],
"owner": "generalTopicTagText"
}
So when i try to put all of them with my elasticsearch.init, it will not work.
But I really don't know how to declare the mapping.Json to put the all .Json, it is like i need something like a for there.
You have to insert them json after json. But what you should do is use the bulk api of elasticsearch to insert multiple documents in one request. Check this api doc to see how it works
You can do something like this
curl -XPUT 'localhost:9000/es/post/1?version=2' -d '{
"text" : "your test message!"
}'
here is the documentation for index json with elasticsearch
I want to index & search nested json in solr. Here is my json code
{
"id": "44444",
"headline": "testing US",
"generaltags": [
{
"type": "person",
"name": "Jayalalitha",
"relevance": "0.334",
"count": 1
},
{
"type": "person",
"name": "Kumar",
"relevance": "0.234",
"count": 1
}
],
"socialtags": {
"type": "SocialTag",
"name": "US",
"importance": 2
},
"topic": {
"type": "Topic",
"name": "US",
"score": "0.936"
}
}
When I try to Index, I'm getting the error "Error parsing JSON field value. Unexpected OBJECT_START"
When we tried to use Multivalued Field & index, we couldn't able to search using the multivalued field? Its returning "Undefined Field"
Also Please advice if I need to do any changes in schema.xml file?
You are nesting child documents within your document. You need to use the proper syntax for nested child documents in JSON:
[
{
"id": "1",
"title": "Solr adds block join support",
"content_type": "parentDocument",
"_childDocuments_": [
{
"id": "2",
"comments": "SolrCloud supports it too!"
}
]
},
{
"id": "3",
"title": "Lucene and Solr 4.5 is out",
"content_type": "parentDocument",
"_childDocuments_": [
{
"id": "4",
"comments": "Lots of new features"
}
]
}
]
Have a look at this article which describes JSON child documents and block joins.
Using the format mentioned by #qux you will face "Expected: OBJECT_START but got ARRAY_START at [16]",
"code": 400
as when JSON starting with [....] will parsed as a JSON array
{
"id": "44444",
"headline": "testing US",
"generaltags": [
{
"type": "person",
"name": "Jayalalitha",
"relevance": "0.334",
"count": 1
},
{
"type": "person",
"name": "Kumar",
"relevance": "0.234",
"count": 1
}
],
"socialtags": {
"type": "SocialTag",
"name": "US",
"importance": 2
},
"topic": {
"type": "Topic",
"name": "US",
"score": "0.936"
}
}
The above format is correct.
Regarding searching. Kindly use the index to search for the elements of the JSON array.
The workaround for this can be keeping the whole JSON object inside other JSON object and the indexing it
I was suggesting to keep the whole data inside another JSON object. You can try the following way
{
"data": [
{
"id": "44444",
"headline": "testing US",
"generaltags": [
{
"type": "person",
"name": "Jayalalitha",
"relevance": "0.334",
"count": 1
},
{
"type": "person",
"name": "Kumar",
"relevance": "0.234",
"count": 1
}
],
"socialtags": {
"type": "SocialTag",
"name": "US",
"importance": 2
},
"topic": {
"type": "Topic",
"name": "US",
"score": "0.936"
}
}
]
}
see the syntax in http://yonik.com/solr-nested-objects/
$ curl http://localhost:8983/solr/demo/update?commitWithin=3000 -d '
[
{id : book1, type_s:book, title_t : "The Way of Kings", author_s : "Brandon Sanderson",
cat_s:fantasy, pubyear_i:2010, publisher_s:Tor,
_childDocuments_ : [
{ id: book1_c1, type_s:review, review_dt:"2015-01-03T14:30:00Z",
stars_i:5, author_s:yonik,
comment_t:"A great start to what looks like an epic series!"
}
,
{ id: book1_c2, type_s:review, review_dt:"2014-03-15T12:00:00Z",
stars_i:3, author_s:dan,
comment_t:"This book was too long."
}
]
}
]'
supported from solr 5.3
I have a question for the project that we are doing...
I tried to extract this JSON to Google Big Query and not able to get JSON votes Object fields from the JSON input. I tried the "record" and the "string" types in the schema.
{
"votes": {
"funny": 10,
"useful": 10,
"cool": 10
},
"user_id": "OlMjqqzWZUv2-62CSqKq_A",
"review_id": "LMy8UOKOeh0b9qrz-s1fQA",
"stars": 4,
"date": "2008-07-02",
"text": "This is what this 4-star bar is all about.",
"type": "review",
"business_id": "81IjU5L-t-QQwsE38C63hQ"
}
Also i am not able to get the tables populated from this below JSON for the categories and neighborhood JSON arrays? What should my schema be for these inputs? The docs didn't help much unfortunately in this case or maybe i am not looking at the right place..
{
"business_id": "Iu-oeVzv8ZgP18NIB0UMqg",
"full_address": "3320 S Hill St\nSouth East LA\nLos Angeles, CA 90007",
"schools": [
"University of Southern California"
],
"open": true,
"categories": [
"Medical Centers",
"Health and Medical"
],
"neighborhoods": [
"South East LA"
]
}
I am able to get the regular fields, but that's about it... Any help is appreciated!
For business it seems you want schools to be a repeated field. Your schema should be:
"schema": {
"fields": [
{
"name": "business_id",
"type": "string"
}.
{
"name": "full_address",
"type": "string"
},
{
"name": "schools",
"type": "string",
"mode": "repeated"
},
{
"name": "open",
"type": "boolean"
}
]
}
For votes it seems you want record. Your schema should be:
"schema": {
"fields": [
{
"name": "name",
"type": "string"
}.
{
"name": "votes",
"type": "record",
"fields": [
{
"name": "funny",
"type": "integer",
},
{
"name": "useful",
"type": "integer"
},
{
"name": "cool",
"type": "integer"
}
]
},
]
}
Source
I was also stuck on this problem, but the issue I faced was because one has to remember to flag the mode as repeated for the records source
Also please note that these cannot have a null value source