I have a json file and I want to add some value from top in another place in json.
I am trying to use jq command line.
{
"channel": "mychannel",
"videos": [
{
"id": "10",
"url": "youtube.com"
},
{
"id": "20",
"url": "youtube.com"
}
]
}
The output would be:
{
"channel": "mychannel",
"videos": [
{
"channel": "mychannel",
"id": "10",
"url": "youtube.com"
},
{
"channel": "mychannel",
"id": "20",
"url": "youtube.com"
}
]
}
in my json the "channel" is static, same value always. I need a way to concatenate always in each video array.
Someone can help me?
jq .videos + channel
Use a variable to remember .channel in the later stages of the pipeline.
$ jq '.channel as $ch | .videos[].channel = $ch' tmp.json
{
"channel": "mychannel",
"videos": [
{
"id": "10",
"url": "youtube.com",
"channel": "mychannel"
},
{
"id": "20",
"url": "youtube.com",
"channel": "mychannel"
}
]
}
Related
In an overview, let's say I have a CSV file that has 5 entries of data (I will have a large number of entries in the CSV file) that I need to use dynamically while building the JSON payload using python (in Databricks).
test.csv
1a2b3c
2n3m6g
333b4c
2m345j
123abc
payload.json
{
"records": {
"id": "37c8323c",
"names": [
{
"age": "1",
"identity": "Dan",
"powers": {
"key": "plus",
"value": "1a2b3c"
}
},
{
"age": "2",
"identity": "Jones",
"powers": {
"key": "minus",
"value": "2n3m6g"
}
},
{
"age": "3",
"identity": "Kayle",
"powers": {
"key": "multiply",
"value": "333b4c"
}
},
{
"age": "4",
"identity": "Donnis",
"powers": {
"key": "divide",
"value": "2m345j"
}
},
{
"age": "5",
"identity": "Layla",
"powers": {
"key": "power",
"value": "123abc"
}
}
]
}
}
The above payload that I need to construct as a result of multiple names objects in the array and I also would like the value property to read dynamically from the CSV file.
I basically need to append the below JSON object to the existing names array considering the value for the power object from the CSV file.
{
"age": "1",
"identity": "Dan",
"powers": {
"key": "plus",
"value": "1a2b3c"
}
}
Since I'm a newbie in Python, any guides would be appreciated. Thanks to the StackOverflow team in advance.
I ran curl command and then parsed the value ("id").
request:
curl "http://192.168.22.22/test/index/limit:1/page:1/sort:id/pag1.json" | jq -r '.[0].id'
curl response:
[
{
"id": "381",
"org_id": "9",
"date": "2018-10-10",
"info": "THIS IS TEST",
"uuid": "5bbd1b41bc",
"published": 1,
"an": "2",
"attribute_count": "4",
"orgc_id": "8",
"timestamp": "1",
"dEST": "0",
"sharing": "0",
"proposal": false,
"locked": false,
"level_id": "1",
"publish_timestamp": "0",
"disable_correlation": false,
"extends_uuid": "",
"Org": {
"id": "5",
"name": "test",
"uuid": "5b9bc"
},
"Orgc": {
"id": "1",
"name": "test",
"uuid": "5b9f93bdeac1b41bc"
},
"ETag": []
}
]
jq response:
381
Now I'm trying to get the "id" number 381, and then to create a new JSON file on the disk when I place the "id" number in the right place.
The new JSON file for example:
{
"request": {
"Event": {
"id": "381",
"task": "new"
}
}
}
Given your input, this works:
jq -r '{"request": {"Event": {"id": .[0].id, "task": "new"}}}' > file
I have a JSON data:
{
"module": {
"data": {
"deliverySummary_200648721592191#address": {
"fields": {
"address": "MyAddress",
"consignee": "MyName",
"phone": "MyPhone",
"postCode": "",
"title": "Alamat Pengiriman \\r\\n"
},
"id": "200648721592191#address",
"tag": "deliverySummary",
"type": "biz"
}
}
}
}
And I want to extract this part:
{
"fields": {
"address": "MyAddress",
"consignee": "MyName",
"phone": "MyPhone",
"postCode": "",
"title": "Alamat Pengiriman \\r\\n"
},
"id": "200648721592191#address",
"tag": "deliverySummary",
"type": "biz"
}
I have tried jq '.module.data.deliverySummary_200648721592191#address' but it just returns null instead of the part that I want above, how do I fix it ?
You should add double-quotation-marks around the problematic property key like '.module.data."deliverySummary_200648721592191#address"' for your case.
See the playground result here.
I am trying to remove the duplicates from the following json by id
Here is the json:
{
"Result": [
{
"name": "validation-of-art",
"id": "12",
"status": "passed",
"duration": 4740302
},
{
"name": "validation-of-art",
"id": "12",
"status": "passed",
"duration": 272320
},
{
"name": "validation-of-art",
"id": "13",
"status": "passed",
"duration": 272320
}
]
}
Here is what i have tried with:
jq -r 'unique_by(.Result.name)'
and also with jq 'unique_by(.Result[].name)'
I am getting an error - Cannot index array with string "Result"
Any help would be appreciated.
Here is an example which eliminates all but one of the .Result objects using unique_by(.name)
$ jq -M '.Result |= unique_by(.name)' data.json
{
"Result": [
{
"name": "validation-of-art",
"id": "12",
"status": "passed",
"duration": 4740302
}
]
}
If this isn't quite what you want you can generalize this easily. E.g. to keep one object for each unique {name,id} you could use
$ jq -M '.Result |= unique_by({name, id})' data.json
{
"Result": [
{
"name": "validation-of-art",
"id": "12",
"status": "passed",
"duration": 4740302
},
{
"name": "validation-of-art",
"id": "13",
"status": "passed",
"duration": 272320
}
]
}
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