have a very large JSON data like below
{
"10.10.10.1": {
"asset_id": 1,
"referencekey": "ASSET-00001",
"hostname": "testDev01",
"fqdn": "ip-10-10.10.1.ap-northeast-2.compute.internal",
"network_zone": [
"DEV",
"Dev"
],
"service": {
"name": "TEST_SVC",
"account": "AWS_TEST",
"billing": "Testpay"
},
"aws": {
"tags": {
"Name": "testDev01",
"Service": "TEST_SVC",
"Usecase": "Dev",
"billing": "Testpay",
"OsVersion": "20.04"
},
"instance_type": "t3.micro",
"ami_imageid": "ami-e000001",
"state": "running"
}
},
"10.10.10.2": {
"asset_id": 3,
"referencekey": "ASSET-47728",
"hostname": "Infra_Live01",
"fqdn": "ip-10-10-10-2.ap-northeast-2.compute.internal",
"network_zone": [
"PROD",
"Live"
],
"service": {
"name": "Infra",
"account": "AWS_TEST",
"billing": "infra"
},
"aws": {
"tags": {
"Name": "Infra_Live01",
"Service": "Infra",
"Usecase": "Live",
"billing": "infra",
"OsVersion": "16.04"
},
"instance_type": "r5.large",
"ami_imageid": "ami-e592398b",
"state": "running"
}
}
}
Can I use JQ to make the conversion like below?
Or is there an easier way to solve it?
Thank you
Expected result
_key,asset_id,referencekey,hostname,fqdn,network_zone/0,network_zone/1,service/name,service/account,service/billing,aws/tags/Name,aws/tags/Service,aws/tags/Usecase,aws/tags/billing,aws/tags/OsVersion,aws/instance_type,aws/ami_imageid,aws/state
10.10.10.1,1,ASSET-00001,testDev01,ip-10-10.10.1.ap-northeast-2.compute.internal,DEV,Dev,TEST_SVC,AWS_TEST,Testpay,testDev01,TEST_SVC,Dev,Testpay,20.04,t3.micro,ami-e000001,running
10.10.10.2,3,ASSET-47728,Infra_Live01,ip-10-10-10-2.ap-northeast-2.compute.internal,PROD,Live,Infra,AWS_TEST,infra,Infra_Live01,Infra,Live,infra,16.04,r5.large,ami-e592398b,running
jq let's you do the conversion to CSV easily. The following code produces the desired output:
jq -r 'to_entries
| map([.key,
.value.asset_id, .value.referencekey, .value.hostname, .value.fqdn,
.value.network_zone[0], .value.network_zone[1],
.value.service.name, .value.service.account, .value.service.billing,
.value.aws.tags.Name, .value.aws.tags.Service, .value.aws.tags.Usecase, .value.aws.tags.billing, .value.aws.tags.OsVersion,
.value.aws.instance_type, .value.aws.ami_imageid, .value.aws.state])
| ["_key","asset_id","referencekey","hostname","fqdn","network_zone/0","network_zone/1","service/name","service/account","service/billing","aws/tags/Name","aws/tags/Service","aws/tags/Usecase","aws/tags/billing","aws/tags/OsVersion","aws/instance_type","aws/ami_imageid","aws/state"]
, .[]
| #csv' "$INPUT"
Remarks
If some nodes in the input JSON are missing, the code does not break but fills in empty values in the CSV file.
If more than two network zones are given, only the first two are covered in the CSV file
Here my document:
[
{
"id": "9f0e27fe-3b8f-4857-8e1d-e57e7a3f4c31",
"identifier": [
{
"system": {
"value": "urn:oid:1.3.6.1.4.1.19126.3"
},
"value": {
"value": "Y3454867M"
}
},
{
"system": {
"value": "urn:oid:2.16.724.4.9.10.2"
},
"value": {
"value": "108505134"
}
}
]
}
]
I need to pick only .identifier[where .system.value == "urn:oid:1.3.6.1.4.1.19126.3"] and project .identifier.value.value.
Desired output:
[
{
"id": "9f0e27fe-3b8f-4857-8e1d-e57e7a3f4c31",
"identifier": "Y3454867M"
}
]
I've been playing with map and select but I don't quite figure out what's the right way to get it.
Any ideas?
This approach uses first to get the first result, in case there is more than one array item matching the criteria.
jq --arg v "urn:oid:1.3.6.1.4.1.19126.3" '
map(.identifier |= first(.[] | select(.system.value == $v).value.value))
'
[
{
"id": "9f0e27fe-3b8f-4857-8e1d-e57e7a3f4c31",
"identifier": "Y3454867M"
}
]
Demo
Right on the money with the good ol' select tool, since you need data from an arbitrary index. I fumbled a bit before I unwrapped the inner array that gets piped to my select.
jq -r '.[] | [{id: .id, identifier: .identifier | .[] | select(.system.value | contains("urn:oid:1.3.6.1.4.1.19126.3")) | .value.value }]'
Still new to jq myself, so any feedback is welcome.
I have the following structure:
{
"Subnets": [
{
"SubnetId": "foo1",
"Id": "bar1",
"Tags": [
{
"Key": "Name",
"Value": "foo"
},
{
"Key": "Status",
"Value": "dev"
}
]
},
{
"SubnetId": "foo2",
"Id": "bar2",
"Tags": [
{
"Key": "Name",
"Value": "foo"
},
{
"Key": "Status",
"Value": "dev"
}
]
}
]
}
I can extract multiple keys at the "top level" like so:
cat subnets.json| jq '.Subnets[] | "\(.Id) \(.SubnetId)"'
Anyone know how I can also display one of the tags by key name, let's say I also want the Status tag displayed on the same line as the Id and SubnetId.
Thx for any help,
Is this what you are looking for?
jq '.Subnets[] | "\(.Id) \(.SubnetId) \(.Tags | from_entries | .Status)"' subnets.json
I have this code for searching with frog AQL api:
items.find({"name":{"$match":"abab-2.0.3.json"}})
its come back as response
{
"results": [
{
"repo": "npm-remote-cache",
"path": ".npm/abab",
"name": "abab-2.0.3.json",
"type": "file",
"size": 1124,
"created": "2020-05-07T21:58:12.633Z",
"created_by": "_system_",
"modified": "2020-05-07T21:58:12.604Z",
"modified_by": "_system_",
"updated": "2020-05-07T21:58:12.633Z"
}
],
"range": {
"start_pos": 0,
"end_pos": 1,
"total": 1
}
}
But I need only the "total" field.
There is a way to get only that field?
You can achieve this with jq:
cat response | jq .range.total
For an input below:
[{
"commit": {
"author": {
"name": "Stephen Dolan",
"email": "mu#netsoc.tcd.ie",
"date": "2013-06-22T16:30:59Z"
},
"committer": {
"name": "Stephen Dolan",
"email": "mu#netsoc.tcd.ie",
"date": "2013-06-22T16:30:59Z"
},
"message": "Merge pull request #162 from stedolan/utf8-fixes\n\nUtf8 fixes. Closes #161"
"url":"https://api.github.com/repos/stedolan/jq/commits/d25341478381063d1c76e81b3a52e0592a7c997f"
},
{
...
}
}]
How can JQ generate a delimited string from different objects as shown below?
"Stephen Dolan", "https://api.github.com/repos/stedolan/jq/commits/d25341478381063d1c76e81b3a52e0592a7c997f", "2013-06-22T16:30:59Z"
Collect the fields you want in an array and use #csv to convert to a CSV row. Make sure you get the raw output.
jq -r '.[] | [ .commit.author.name, .commit.url, .commit.author.date ] | #csv' input.json