"LOTGraphData": [
{
buildUnits:"1"
ScheduledUnits:2"
prodGroupId:"9288"
},
{
buildUnits:"1"
ScheduledUnits:2"
prodGroupId:"9289"
},
{
buildUnits:"1"
ScheduledUnits:2"
prodGroupId:"9280"
}
]
}
This is the end of JSON file.
You have to separate your key/value pairs by commas. And (as per your confirmation), the keys have to be wrapped in quotes. So the final result will look like:
"LOTGraphData": [
{
"buildUnits": "1",
"ScheduledUnits": "2",
"prodGroupId": "9288"
},
{
"buildUnits": "1",
"ScheduledUnits": "2",
"prodGroupId": "9289"
},
{
"buildUnits": "1",
"ScheduledUnits": "2",
"prodGroupId": "9280"
}
]
Related
I have this JSON
{
"srv_config": [{
"name": "db1",
"servers": ["srv1", "srv2"],
"prop": [{"source":"aa"},"destination":"bb"},{"source":"cc"},"destination":"cc"},]
}, {
"name": "db2",
"servers": ["srv2", "srv2"],
"prop": [{"source":"dd"},"destination":"dd"},{"source":"ee"},"destination":"ee"},]
}
]
}
I try to build a JMESPath expression to select the prop application in each object in the main array, but based on the existence of a string in the servers element.
To select all props, I can do:
*.props [*]
But how do I add condition that says "select only if srv1 is in servers list"?
You can use the contains function in order to filter based on a array containing something.
Given the query:
*[?contains(servers, `srv1`)].prop | [][]
This gives us:
[
{
"source": "aa",
"destination": "bb"
},
{
"source": "cc",
"destination": "cc"
}
]
Please mind that I am also using a bit of flattening here.
All this run towards a corrected version of you JSON:
{
"srv_config":[
{
"name":"db1",
"servers":[
"srv1",
"srv2"
],
"prop":[
{
"source":"aa",
"destination":"bb"
},
{
"source":"cc",
"destination":"cc"
}
]
},
{
"name":"db2",
"servers":[
"srv2",
"srv2"
],
"prop":[
{
"source":"dd",
"destination":"dd"
},
{
"source":"ee",
"destination":"ee"
}
]
}
]
}
I have a json field(attached sample) and i need to extract the values in ProvisioningSystem path but it works only if i hardcode the array location.How can i extract the value without hardcoding ?Thanks in Advance!
Code:
TRANSFORM(CAST(JSON_EXTRACT(order_json, '$.Order.Accounts.Account') AS ARRAY), x -> JSON_EXTRACT_SCALAR(x,'$.ProvisioningSystems.ProvisioningSystem[1].SystemName'))
Json:
{
"Order":
{
"Accounts": {
"Account": [
{
"ProvisioningSystems": {},
},
{
"ProvisioningSystems": {
"ProvisioningSystem": [
{
"SystemOrderRef": "12345",
"SystemName": "Testsystem",
"SystemOrderRefType": "Provision"
}
]
},
}
]
},
}
}
}
I have a MongoDB that is structured as below:
[
{
"subject_id": "1",
"name": "Maria",
"dob": "1/1/00",
"gender": "F",
"visits": {
"1/1/18": {
"date_entered": "1/2/18",
"entered_by": "Sally"
},
"1/2/18": {
"date_entered": "1/2/18",
"entered_by": "Tim",
}
},
"samples": {
"XXX123": {
"collected_by": "Sally",
"collection_date": "1/3/18"
}
}
},
{
"subject_id": "2",
"name": "Bob",
"dob": "1/2/00",
"gender": "M",
"visits": {
"1/3/18": {
"date_entered": "1/4/18",
"entered_by": "Tim"
}
},
"samples": {
"YYY456": {
"collected_by": "Sally",
"collection_date": "1/5/18"
},
"ZZZ789": {
"collected_by": "Tim",
"collection_date": "1/6/18"
},
"AAA123": {
"collected_by": "Sally",
"collection_date": "1/7/18"
}
}
}
]
If I wanted to query the database to find all samples collected by Sally or all visits entered by Tim, what would be the best way of doing that?
I'm new to MongoDB and my attempts with various regex's haven't produced results. Any advice would be greatly appreciated.
I first used project on the required fields to use objectToArray followed by unwind to create separate records for array created in project.
The results are then filtered using match.
This works for the data provided in the question -
db.so.aggregate([
{$project: {visits: {$objectToArray: "$visits"}, samples: {$objectToArray: "$samples"}}},
{$unwind: "$visits"},
{$unwind: "$samples"},
{ $match: {
$or : [
{ "visits.v.entered_by" : "Tim" },
{ "samples.v.collected_by" : "Sally" }
]
}
}
])
I am implementing a restful service where I am getting the pdf names and their ids from the database in the JSON fromat. Which one of the both the convenient JSON resful service response?
First Option:
{
"results": {
"documentNames": [
"test.pdf",
"ireport-ultimate-guide.pdf",
"sending report.pdf",
"Motor Hour.pdf"
],
"documentds": [
21116,
21117,
21118,
21119
]
}
}
Second Option:
{
"results": {
"21116": "test.pdf",
"21117": "ireport-ultimate-guide.pdf",
"21118": "sending report.pdf",
"21119": "Motor Hour.pdf"
}
}
I would use this "third option": The result is a list of object.
{
"result": [{
"id": "21116",
"filename": "test.pdf"
},
{
"id": "21117",
"filename": "ireport-ultimate-guide.pdf"
},
{
"id": "21118",
"filename": "sending report.pdf"
},
{
"id": "21119",
"filename": "Motor Hour.pdf"
}
]
}
because it better models the object structure.
I would create an entity for each document that contains both name and I'd.
[
{"name": "doc_1", "id": 123},
{"name": "doc_2", "id": 456}
]
I am trying to index a document in elasticsearch. The json I have comes from the document being transformed from XML to JSON. It is valid JSON. Looks like this:
{
"shortcasename": {
"_attributes": {
"party1": "People",
"party2": "Johnson"
},
"_children": [
"People",
{
"connector": {
"_attributes": {
"normval": "v"
},
"_children": [
" v. "
]
}
},
"Johnson"
]
}
}
Elasitcsearch seems to have a problem with the shortcasename._children. The error I get is:
{
"error": {
"root_cause": [
{
"type": "mapper_parsing_exception",
"reason": "failed to parse"
}
],
"type": "mapper_parsing_exception",
"reason": "failed to parse",
"caused_by": {
"type": "illegal_argument_exception",
"reason": "mapper [shortcasename._children] of different type, current_type [string], merged_type [ObjectMapper]"
}
},
"status": 400
}
Is there a way to get the json to be indexed the way it is?
The JSON you have has a conflict with the _children field:
{
"shortcasename": {
"_attributes": {
"party1": "People",
"party2": "Johnson"
},
"_children": [
"People",
{
"connector": {
"_attributes": {
"normval": "v"
},
"_children": [
" v. "
]
}
},
"Johnson"
]
}
}
The top-level _children field is an array containing a mix of objects ({"connector": ...}) and strings ("People", "Johnson"). Elasticsearch doesn't support that, that's why it complains that it cannot merge string and Object