Let's assume this is the source json file:
{
"name": "tom",
"age": 12,
"visits": {
"2017-01-25": 3,
"2016-07-26": 4,
"2016-01-24": 1
}
}
I want to get:
[
"age",
"name",
"visits.2017-01-25",
"visits.2016-07-26",
"visits.2016-01-24"
]
I am able to extract the keys using: jq '. | keys' file.json
, but this skips nested fields. How to include those?
Accessing nested json objects is just like accessing nested arrays. Nested objects are the objects that are inside an another object. In the following example 'vehicles' is a object which is inside a main object called 'person'. Using dot notation the nested objects' property(car) is accessed.
We can parse a nested JSON object using the getString(index) method of JSONArray. This is a convenience method for the getJSONString(index). getString() method and it returns a string value at the specified position.
As the loaded json data is just nested lists and dicts, you can use the ordinary list/dict operations; in particular, list comprehension is useful. Show activity on this post. import json # Loding the data pathToFile = "bb. json" with open(pathToFile, 'r') as file: content = file.
With your input, the invocation:
jq 'leaf_paths | join(".")'
produces:
"name"
"age"
"visits.2017-01-25"
"visits.2016-07-26"
"visits.2016-01-24"
If you want to include "visits", use paths
. If you want the result as a JSON array, enclose the filter with square brackets: [ ... ]
If your input might include arrays, then unless you are using jq 1.6 or later, you will need to convert the integer indices to strings explicitly; also, since leaf_paths
is now deprecated, you might want to use its def. The result:
jq 'paths(scalars) | map(tostring) | join(".")'
To include paths to null, you could use allpaths
defined as follows:
def allpaths:
def conditional_recurse(f): def r: ., (select(.!=null) | f | r); r;
path(conditional_recurse(.[]?)) | select(length > 0);
Example:
{"a": null, "b": false} | allpaths | join(".")
produces:
"a"
"b"
Assuming jq version 1.5 or higher, we can get to all_leaf_paths
by following the strategy used in builtins.jq, that is, by adding these definitions:
def allpaths(f):
. as $in | allpaths | select(. as $p|$in|getpath($p)|f);
def isscalar:
. == null or . == true or . == false or type == "number" or type == "string";
def all_leaf_paths: allpaths(isscalar);
Example:
{"a": null, "b": false, "object":{"x":0} } | all_leaf_paths | join(".")
produces:
"a"
"b"
"object.x"
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