I have a JSON file like this:
{
"Resources": {
"myresource1": {
"Properties": {
"keyA": {
"Ref": "resource2"
},
"keyB": "something",
"keyC": {
"another object": {
"Ref": "resource3"
}
}
}
},
"resource2": {
"Properties": {
"keyA": 1,
"keyB": 2
}
},
"resource3": {}
}
}
I'd like a JSON Path query that finds all Resources that have Properties that have a Ref object in them.
So in the JSON above, myresource1 has two properties that satisfy this condition and the Refs are resource2 and resource3.
Is this possible?
I found this query works:
$..Properties.*..Ref
It gives me a list of paths:
[
"$['Resources']['myresource1']['Properties']['keyA']['Ref']",
"$['Resources']['myresource1']['Properties']['keyC']['another object']['Ref']"
]
Is there a better solution?
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"
}
]
}
]
}
If I have two documents within an index of the following format, I just want to weed out the ones which have an empty JSON instead of my expected key.
A
{
"search": {
"gold": [1,2,3,4]
}
B
{
"search":{}
}
I should just get A json and not B json.
I've tried the exists query to search for "gold" but it just checks for non null values and returns the list.
Note: The following doesn't do what I want.
GET test/_search
{
"query": {
"bool": {
"must": [
{
"exists": { "field": "search.gold" }}
]
}
}
}
This is a simple question but I'm unable to find a way to do it even after searching through their docs.
If someone can help me do this it would be really great.
The simplified mapping of the index is :
"test": {
"mappings": {
"carts": {
"dynamic": "true",
"_all": {
"enabled": false
},
"properties": {
"line_items": {
"properties": {
"line_items_dyn_arr": {
"type": "nested",
"properties": {
"dynamic_key": {
"type": "keyword"
}
}
}
}
}
}
}
}
}
Are you storing complete json in search field?
If this is not the case then please share the mapping of your index and sample data.
Update: Query for nested field:
{
"query": {
"nested": {
"path": "search",
"query": {
"bool": {
"must": [
{
"exists": {
"field": "search.gold"
}
}
]
}
}
}
}
}
For nested type fields we need to specify the path and query to be executed on nested fields since nested fields are indexed as child documents.
Elastic documentation: Nested Query
UPDATE based on the mapping added in question asked:
{
"query": {
"nested": {
"path": "line_items.line_items_dyn_arr",
"query": {
"exists": {
"field": "line_items.line_items_dyn_arr"
}
}
}
}
}
Notice that we used "path": "line_items.line_items_dyn_arr". The reason we require to provide full path is because nested field line_items_dyn_arr is itself under line_items object. Had line_items_dyn_arr be a property of mapping and not the property of object or nested field the previous query would work fine.
Nishant's answer is right but for some reason I could get it working only if the path and field are the whole paths.
The following works for me.
{
"nested": {
"path": "search.gold",
"query": {
"exists": {
"field": "search.gold"
}
}
}
}
Here is the sample JSON
Sample JSON:
[
{
"_id": "123456789",
"YEAR": "2019",
"VERSION": "2019.Version",
"QUESTION_GROUPS": [
{
"QUESTIONS": [
{
"QUESTION_NAME": "STATE_CODE",
"QUESTION_VALUE": "MH"
},
{
"QUESTION_NAME": "COUNTY_NAME",
"QUESTION_VALUE": "IN"
}
]
},
{
"QUESTIONS": [
{
"QUESTION_NAME": "STATE_CODE",
"QUESTION_VALUE": "UP"
},
{
"QUESTION_NAME": "COUNTY_NAME",
"QUESTION_VALUE": "IN"
}
]
}
]
}
]
Query that am using :
db.collection.find({},
{
"QUESTION_GROUPS.QUESTIONS.QUESTION_NAME": "STATE_CODE"
})
My requirement is retrive all QUESTION_VALUE whose QUESTION_NAME is equals to STATE_CODE.
Thanks in Advance.
If I get you well, What you are trying to do is something like:
db.collection.find(
{
"QUESTION_GROUPS.QUESTIONS.QUESTION_NAME": "STATE_CODE"
},
{
"QUESTION_GROUPS.QUESTIONS.QUESTION_VALUE": 1
})
Attention: you will get ALL the "QUESTION_VALUE" for ANY document which has a QUESTION_GROUPS.QUESTIONS.QUESTION_NAME with that value.
Attention 2: You will get also the _Id. It is by default.
In case you would like to skip those issues, you may need to use Aggregations, and unwind the "QUESTION_GROUPS"-> "QUESTIONS". This way you can skip both the irrelevant results, and the _id field.
It sounds like you want to unwind the arrays and grab only the question values back
Try this
db.collection.aggregate([
{
$unwind: "$QUESTION_GROUPS"
},
{
$unwind: "$QUESTION_GROUPS.QUESTIONS"
},
{
$match: {
"QUESTION_GROUPS.QUESTIONS.QUESTION_NAME": "STATE_CODE"
}
},
{
$project: {
"QUESTION_GROUPS.QUESTIONS.QUESTION_VALUE": 1
}
}
])
Why is the json code wrong? I know I can have multi key in XML, but it seem that json doesn't allow.
{
"BackupSettings": {
"Setting":
{
"id": "34345"
},
"Setting": {
"id": "16454"
}
}
}
Indeed, keys within an object are required to be unique in JSON. The canonical way of expressing your data in JSON would be to use an array. It could look something like the following:
{
"BackupSettings": {
"Settings": [
{
"id": "34345"
},
{
"id": "16454"
}
]
}
}
Or even:
{
"BackupSettings": [
{
"id": "34345"
},
{
"id": "16454"
}
]
}
I'm trying to retrieve random documents that contain #maga so I did the following query:
{
"_source": "text",
"query": {
"function_score": {
"query": {
"match": {
"text": "#maga"
}
},
"functions": [
{
"random_score": {}
}
]
}
}
}
The problem is some returned document doesn't contain #maga but just the token maga. Why so? And How can I ivercome this problem?