Given this data I am trying to return the servers array with any matches from groups array based on s_Group value. However group_by(s_Group) only returns those common to both arrays (with one extraneous non-match I cannot explain). It might be worth mentioning this is being done in a bash script so I am game to break the arrays into separate files and/or multiple steps if that makes things easier.
EDIT: I should have specified I want all the attributes from groups pulled into the new servers elements where a match occurs. Apologies for not making that clear. Adding a "desired output".
input data:
{
"servers": [
{
"location": "srv_apc1",
"f_Group": "auc-1"
},
{
"location": "srv_apc2",
"f_Group": "auc-1",
"c_Group": "c1"
},
{
"location": "srv_apc3",
"f_Group": "auc-1",
"c_Group": "c2"
},
{
"location": "srv_apc4",
"f_Group": "auc-1",
"c_Group": "c3"
},
{
"location": "srv_wc1",
"s_Group": "cb-1"
},
{
"location": "srv_wc2",
"s_Group": "cb-2"
},
{
"location": "srv_wc3",
"s_Group": "cb-3"
},
{
"location": "srv_wc4",
"s_Group": "cb-4"
}
],
"groups": [
{
"s_Group": "cb-1",
"options": [
"opt1",
"opt3",
"opt5",
"home"
]
},
{
"s_Group": "cb-2",
"options": [
"opt2",
"opt4",
"opt6",
"home"
]
},
{
"s_Group": "cb-3",
"options": [
"opt7",
"opt8",
"opt9",
"home",
"print"
]
},
{
"s_Group": "cb-4",
"options": [
"ems99",
"erec98",
"expr-77",
"home"
]
},
{
"s_Group": "extra-99",
"options": [
"conf1",
"ems34",
"erec1",
"home",
"chec99",
"franT"
]
}
]
}
jq:
.servers + .groups | group_by(.s_Group) | map(add)
Demo
desired output:
{
"servers": [
[
{
"location": "srv_apc1",
"f_Group": "auc-1"
},
{
"location": "srv_apc2",
"f_Group": "auc-1",
"c_Group": "c1"
},
{
"location": "srv_apc3",
"f_Group": "auc-1",
"c_Group": "c2"
},
{
"location": "srv_apc4",
"f_Group": "auc-1",
"c_Group": "c3"
},
{
"location": "srv_wc1",
"s_Group": "cb-1",
"options": [
"opt1",
"opt3",
"opt5",
"home"
]
},
{
"location": "srv_wc2",
"s_Group": "cb-2",
"options": [
"opt2",
"opt4",
"opt6",
"home"
]
},
{
"location": "srv_wc3",
"s_Group": "cb-3",
"options": [
"opt7",
"opt8",
"opt9",
"home",
"print"
]
},
{
"location": "srv_wc4",
"s_Group": "cb-4",
"options": [
"ems99",
"erec98",
"expr-77",
"home"
]
}
]
]
}
Everything can be done with one invocation of jq. If I understand the requirements correctly, you could use the following jq program:
INDEX(.groups[] | select(.s_Group); .s_Group) as $dict
| .servers |= map( . + $dict[.s_Group // ""])
| {servers : [.servers] }
This returns the desired output as shown except for the obvious discrepancy relative to "s_Group": "cb-4".
Use JOIN with an INDEX on the .servers items:
jq '{servers: [JOIN(
INDEX(.groups[]; .s_Group); .servers[]; .s_Group // empty; add
)]}'
{
"servers": [
{
"location": "srv_apc1",
"f_Group": "auc-1"
},
{
"location": "srv_apc2",
"f_Group": "auc-1",
"c_Group": "c1"
},
{
"location": "srv_apc3",
"f_Group": "auc-1",
"c_Group": "c2"
},
{
"location": "srv_apc4",
"f_Group": "auc-1",
"c_Group": "c3"
},
{
"location": "srv_wc1",
"s_Group": "cb-1",
"options": [
"opt1",
"opt3",
"opt5",
"home"
]
},
{
"location": "srv_wc2",
"s_Group": "cb-2",
"options": [
"opt2",
"opt4",
"opt6",
"home"
]
},
{
"location": "srv_wc3",
"s_Group": "cb-3",
"options": [
"opt7",
"opt8",
"opt9",
"home",
"print"
]
},
{
"location": "srv_wc4",
"s_Group": "cb-4",
"options": [
"emsar",
"ereceipt",
"expressmtreceive",
"home",
"mtagentlookup",
"mtreceive",
"mtstatus"
]
}
]
}
Demo
Related
This question already has answers here:
How to use jq when the variable has reserved characters?
(3 answers)
Closed 6 months ago.
I have a JSON file that I am trying to query with jq. I am unable to retrieve the observations. I am trying to retieve each of the "observations using the following command and not able to get to the result:
cat sample3.json | jq .dataSets[0].series.0:0:0:0:0.observations.0[0]
I am able to retieve up to the series using:
cat sample3.json | jq .dataSets[0].series
But once I try to drill down further I am getting a compile error:
$ cat sample3.json | jq .dataSets[0].series.0:0:0:0:0
jq: error: syntax error, unexpected LITERAL, expecting end of file (Unix shell quoting issues?) at <top-level>, line 1:
.dataSets[0].series.0:0:0:0:0
jq: 1 compile error
I am not sure what I am doing wrong here....
The input file is:
{
"header": {
"id": "b8be2cd5-33bf-4687-9e81-eb032f6f8a71",
"test": false,
"prepared": "2022-09-01T13:30:57.013+02:00",
"sender": {
"id": "ECB"
}
},
"dataSets": [
{
"action": "Replace",
"validFrom": "2022-09-01T13:30:57.013+02:00",
"series": {
"0:0:0:0:0": {
"attributes": [
0,
null,
0,
null,
null,
null,
null,
null,
null,
null,
null,
null,
0,
null,
0,
null,
0,
0,
0,
0
],
"observations": {
"0": [
1.4529,
0,
0,
null,
null
],
"1": [
1.4472,
0,
0,
null,
null
],
"2": [
1.4591,
0,
0,
null,
null
]
}
}
}
}
],
"structure": {
"links": [
{
"title": "Exchange Rates",
"rel": "dataflow",
"href": "https://sdw-wsrest.ecb.europa.eu:443/service/dataflow/ECB/EXR/1.0"
}
],
"name": "Exchange Rates",
"dimensions": {
"series": [
{
"id": "FREQ",
"name": "Frequency",
"values": [
{
"id": "D",
"name": "Daily"
}
]
},
{
"id": "CURRENCY",
"name": "Currency",
"values": [
{
"id": "AUD",
"name": "Australian dollar"
}
]
},
{
"id": "CURRENCY_DENOM",
"name": "Currency denominator",
"values": [
{
"id": "EUR",
"name": "Euro"
}
]
},
{
"id": "EXR_TYPE",
"name": "Exchange rate type",
"values": [
{
"id": "SP00",
"name": "Spot"
}
]
},
{
"id": "EXR_SUFFIX",
"name": "Series variation - EXR context",
"values": [
{
"id": "A",
"name": "Average"
}
]
}
],
"observation": [
{
"id": "TIME_PERIOD",
"name": "Time period or range",
"role": "time",
"values": [
{
"id": "2022-08-29",
"name": "2022-08-29",
"start": "2022-08-29T00:00:00.000+02:00",
"end": "2022-08-29T23:59:59.999+02:00"
},
{
"id": "2022-08-30",
"name": "2022-08-30",
"start": "2022-08-30T00:00:00.000+02:00",
"end": "2022-08-30T23:59:59.999+02:00"
},
{
"id": "2022-08-31",
"name": "2022-08-31",
"start": "2022-08-31T00:00:00.000+02:00",
"end": "2022-08-31T23:59:59.999+02:00"
}
]
}
]
},
"attributes": {
"series": [
{
"id": "TIME_FORMAT",
"name": "Time format code",
"values": [
{
"name": "P1D"
}
]
},
{
"id": "BREAKS",
"name": "Breaks",
"values": []
},
{
"id": "COLLECTION",
"name": "Collection indicator",
"values": [
{
"id": "A",
"name": "Average of observations through period"
}
]
},
{
"id": "COMPILING_ORG",
"name": "Compiling organisation",
"values": []
},
{
"id": "DISS_ORG",
"name": "Data dissemination organisation",
"values": []
},
{
"id": "DOM_SER_IDS",
"name": "Domestic series ids",
"values": []
},
{
"id": "PUBL_ECB",
"name": "Source publication (ECB only)",
"values": []
},
{
"id": "PUBL_MU",
"name": "Source publication (Euro area only)",
"values": []
},
{
"id": "PUBL_PUBLIC",
"name": "Source publication (public)",
"values": []
},
{
"id": "UNIT_INDEX_BASE",
"name": "Unit index base",
"values": []
},
{
"id": "COMPILATION",
"name": "Compilation",
"values": []
},
{
"id": "COVERAGE",
"name": "Coverage",
"values": []
},
{
"id": "DECIMALS",
"name": "Decimals",
"values": [
{
"id": "4",
"name": "Four"
}
]
},
{
"id": "NAT_TITLE",
"name": "National language title",
"values": []
},
{
"id": "SOURCE_AGENCY",
"name": "Source agency",
"values": [
{
"id": "4F0",
"name": "European Central Bank (ECB)"
}
]
},
{
"id": "SOURCE_PUB",
"name": "Publication source",
"values": []
},
{
"id": "TITLE",
"name": "Title",
"values": [
{
"name": "Australian dollar/Euro"
}
]
},
{
"id": "TITLE_COMPL",
"name": "Title complement",
"values": [
{
"name": "ECB reference exchange rate, Australian dollar/Euro, 2:15 pm (C.E.T.)"
}
]
},
{
"id": "UNIT",
"name": "Unit",
"values": [
{
"id": "AUD",
"name": "Australian dollar"
}
]
},
{
"id": "UNIT_MULT",
"name": "Unit multiplier",
"values": [
{
"id": "0",
"name": "Units"
}
]
}
],
"observation": [
{
"id": "OBS_STATUS",
"name": "Observation status",
"values": [
{
"id": "A",
"name": "Normal value"
}
]
},
{
"id": "OBS_CONF",
"name": "Observation confidentiality",
"values": [
{
"id": "F",
"name": "Free"
}
]
},
{
"id": "OBS_PRE_BREAK",
"name": "Pre-break observation value",
"values": []
},
{
"id": "OBS_COM",
"name": "Observation comment",
"values": []
}
]
}
}
}
The .foo syntax cannot be used if the key name has anything but alphanumeric characters or the underscore, or if the first character of the key name is numeric.
Assuming you are using a recent version of jq,
you can always use the form: ."foo", which is actually an abbreviation of the basic form, .["foo"].
So assuming you're using a sufficiently recent version of jq, your query could begin with:
.dataSets[0].series."0:0:0:0:0"
If you are presenting the jq query on a command line, then you may have to escape the double-quotes appropriately, e.g. in a bash shell, by enclosing the jq query in single-quotes.
I am trying to Extract and sum a particular value using group by from json collection in azure logic app. Trying to achieve this by applying "Condition" connector. My Json file looks like below:
"Release": [
{
"O_Id": "D_13211175",
"R_ID": "D_132111751",
"Res": [
{
"A_Id": "32323222",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 1,
"RL_Id": "1",
"Unique_Identifier": "5970703818904601622__1",
},
{
"A_Id": "32323223",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 1,
"RL_Id": "1",
"Unique_Identifier": "5970703818904692717__1",
},
]
}
]
I want to calculate the sum of Qty group by I_Id from array Res using logic app connector "Condition".
Note: As Res is an array, there can be repetition I_Id with same value, hence, the requirement to get the Qty count based on I_Id
There are few ways to achieve your requirement but here is one of the workaround that worked when reproduced from our end.
Firstly, I have initialised a temporary integer variable to iterated inside the "Res" Array using Until Loop by checking the length of "Res" using the below expression.
length(body('Parse_JSON')?['Release']?[0]?['Res'])
Inside Until I have used condition action to check if I_Id is same using the below expression to the left.
body('Parse_JSON')?['Release']?[0]?['Res']?[variables('temp')]?['I_Id']
and below expression to the right
body('Parse_JSON')?['Release']?[0]?['Res']?[add(variables('temp'),1)]?['I_Id']
Then if the condition satisfies I'm adding the Qty using the expression as below.
add(body('Parse_JSON')?['Release']?[0]?['Res']?[variables('temp')]?['Qty'],body('Parse_JSON')?['Release']?[0]?['Res']?[add(variables('temp'),1)]?['Qty'])
Here is the flow of my logic app
[Optional step]
Considering the bigger picture, I have initialzed another variable quantity and added the resultant of Compose 4 to Qty variable
RESULTS:
Considering the below sample JSON
{
"Release": [
{
"O_Id": "D_13211175",
"R_ID": "D_132111751",
"Res": [
{
"A_Id": "32323222",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 1,
"RL_Id": "1",
"Unique_Identifier": "5970703818904601622__1"
},
{
"A_Id": "32323223",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 1,
"RL_Id": "1",
"Unique_Identifier": "5970703818904692717__1"
},
{
"A_Id": "32323223",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 5,
"RL_Id": "1",
"Unique_Identifier": "5970703818904692717__1"
}
]
}
]
}
Here is the result
To avoid confusion try the below code view in your resource
{
"definition": {
"$schema": "https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#",
"actions": {
"Compose": {
"inputs": {
"Release": [
{
"O_Id": "D_13211175",
"R_ID": "D_132111751",
"Res": [
{
"A_Id": "32323222",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 1,
"RL_Id": "1",
"Unique_Identifier": "5970703818904601622__1"
},
{
"A_Id": "32323223",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 1,
"RL_Id": "1",
"Unique_Identifier": "5970703818904692717__1"
},
{
"A_Id": "32323223",
"F_Qty": 1,
"I_Id": "828929",
"OL_Id": "1",
"Qty": 5,
"RL_Id": "1",
"Unique_Identifier": "5970703818904692717__1"
}
]
}
]
},
"runAfter": {},
"type": "Compose"
},
"Compose_3": {
"inputs": "#variables('Qty')",
"runAfter": {
"Until": [
"Succeeded"
]
},
"type": "Compose"
},
"Initialize_variable": {
"inputs": {
"variables": [
{
"name": "temp",
"type": "integer",
"value": 0
}
]
},
"runAfter": {
"Parse_JSON": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Initialize_variable_2": {
"inputs": {
"variables": [
{
"name": "Qty",
"type": "integer",
"value": 0
}
]
},
"runAfter": {
"Initialize_variable": [
"Succeeded"
]
},
"type": "InitializeVariable"
},
"Parse_JSON": {
"inputs": {
"content": "#outputs('Compose')",
"schema": {
"properties": {
"Release": {
"items": {
"properties": {
"O_Id": {
"type": "string"
},
"R_ID": {
"type": "string"
},
"Res": {
"items": {
"properties": {
"A_Id": {
"type": "string"
},
"F_Qty": {
"type": "integer"
},
"I_Id": {
"type": "string"
},
"OL_Id": {
"type": "string"
},
"Qty": {
"type": "integer"
},
"RL_Id": {
"type": "string"
},
"Unique_Identifier": {
"type": "string"
}
},
"required": [
"A_Id",
"F_Qty",
"I_Id",
"OL_Id",
"Qty",
"RL_Id",
"Unique_Identifier"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"O_Id",
"R_ID",
"Res"
],
"type": "object"
},
"type": "array"
}
},
"type": "object"
}
},
"runAfter": {
"Compose": [
"Succeeded"
]
},
"type": "ParseJson"
},
"Until": {
"actions": {
"Condition": {
"actions": {
"Compose_2": {
"inputs": "#add(outputs('Compose_4'),variables('Qty'))",
"runAfter": {
"Compose_4": [
"Succeeded"
]
},
"type": "Compose"
},
"Compose_4": {
"inputs": "#add(body('Parse_JSON')?['Release']?[0]?['Res']?[variables('temp')]?['Qty'],body('Parse_JSON')?['Release']?[0]?['Res']?[add(variables('temp'),1)]?['Qty'])",
"runAfter": {},
"type": "Compose"
},
"Set_variable": {
"inputs": {
"name": "Qty",
"value": "#outputs('Compose_2')"
},
"runAfter": {
"Compose_2": [
"Succeeded"
]
},
"type": "SetVariable"
}
},
"expression": {
"and": [
{
"equals": [
"#body('Parse_JSON')?['Release']?[0]?['Res']?[variables('temp')]?['I_Id']",
"#body('Parse_JSON')?['Release']?[0]?['Res']?[add(variables('temp'),1)]?['I_Id']"
]
}
]
},
"runAfter": {},
"type": "If"
},
"Increment_variable": {
"inputs": {
"name": "temp",
"value": 1
},
"runAfter": {
"Condition": [
"Succeeded"
]
},
"type": "IncrementVariable"
}
},
"expression": "#equals(variables('temp'), length(body('Parse_JSON')?['Release']?[0]?['Res']))",
"limit": {
"count": 60,
"timeout": "PT1H"
},
"runAfter": {
"Initialize_variable_2": [
"Succeeded"
]
},
"type": "Until"
}
},
"contentVersion": "1.0.0.0",
"outputs": {},
"parameters": {},
"triggers": {
"manual": {
"inputs": {
"schema": {}
},
"kind": "Http",
"type": "Request"
}
}
},
"parameters": {}
}
I want to make a search from object JSON but when a I found the element I want to be returned with his previous parents.
[
{
"name": "level1",
"children": [
{
"name": "level2",
"children": [
{
"name": "level3a",
"children": [
{
"name": "text",
"more": "info"
},
{
"name": "text Abc",
"more": "info"
}
]
},
{
"name": "level3b",
"children": [
{
"name": "text-C",
"more": "info"
},
{
"name": "search",
"more": "info"
}
]
},
{
"name": "level3c",
"children": [
{
"name": "info-C",
"more": "info"
},
{
"name": "search",
"more": "info"
}
]
}
]
}
]
},
{
"name": "level1",
"children": [
{
"name": "level2a",
"children": [
{
"name": "level3",
"children": [
{
"name": "text A",
"more": "info"
}
]
},
]
},
{
"name": "level2b",
"children": [
{
"name": "level3",
"children": [
{
"name": "text X",
"more": "info"
}
]
},
]
}
]
}
]
For example: if want to search "text" I want result like this
[
{
"name": "level1",
"children": [
{
"name": "level2",
"children": [
{
"name": "level3a",
"children": [
{
"name": "text",
"more": "info"
},
{
"name": "text Abc",
"more": "info"
}
]
},
{
"name": "level3b",
"children": [
{
"name": "text-C",
"more": "info"
}
]
}
]
}
]
},
{
"name": "level1",
"children": [
{
"name": "level2a",
"children": [
{
"name": "level3",
"children": [
{
"name": "text A",
"more": "info"
}
]
},
]
},
{
"name": "level2b",
"children": [
{
"name": "level3",
"children": [
{
"name": "text X",
"more": "info"
}
]
},
]
}
]
}
]
Things to considerer
only "search" in level 3 children by name property
if one o more childrens matches the search, return all of them
Basically I need to filter by the last level of object with elements matches with the search and return them with them parents.
Im trying to use jq on kubernetes json output, to create new json object containing list of objects - container and image per pod, however im getting cartesian product.
my input data (truncated from sensitive info):
{
"apiVersion": "v1",
"items": [
{
"apiVersion": "v1",
"kind": "Pod",
"metadata": {
"creationTimestamp": "2021-06-30T12:45:40Z",
"name": "pod-1",
"namespace": "default",
"resourceVersion": "757679286",
"selfLink": "/api/v1/namespaces/default/pods/pod-1"
},
"spec": {
"containers": [
{
"image": "image-1",
"imagePullPolicy": "Always",
"name": "container-1",
"resources": {},
"terminationMessagePath": "/dev/termination-log",
"terminationMessagePolicy": "File",
"volumeMounts": [
{
"mountPath": "/var/run/secrets/kubernetes.io/serviceaccount",
"readOnly": true
}
]
},
{
"image": "image-2",
"imagePullPolicy": "Always",
"name": "container-2",
"resources": {},
"terminationMessagePath": "/dev/termination-log",
"terminationMessagePolicy": "File",
"volumeMounts": [
{
"mountPath": "/var/run/secrets/kubernetes.io/serviceaccount",
"readOnly": true
}
]
}
],
"dnsPolicy": "ClusterFirst",
"enableServiceLinks": true,
"priority": 0,
"restartPolicy": "Always",
"schedulerName": "default-scheduler",
"securityContext": {},
"serviceAccount": "default",
"serviceAccountName": "default",
"terminationGracePeriodSeconds": 30,
"tolerations": [
{
"effect": "NoExecute",
"key": "node.kubernetes.io/not-ready",
"operator": "Exists",
"tolerationSeconds": 300
},
{
"effect": "NoExecute",
"key": "node.kubernetes.io/unreachable",
"operator": "Exists",
"tolerationSeconds": 300
}
],
"volumes": [
{
"name": "default-token-b954f",
"secret": {
"defaultMode": 420,
"secretName": "default-token-b954f"
}
}
]
},
"status": {
"conditions": [
{
"lastProbeTime": null,
"lastTransitionTime": "2021-06-30T12:45:40Z",
"status": "True",
"type": "Initialized"
},
{
"lastProbeTime": null,
"lastTransitionTime": "2021-06-30T12:45:40Z",
"message": "containers with unready status: [container-1 container-2]",
"reason": "ContainersNotReady",
"status": "False",
"type": "Ready"
},
{
"lastProbeTime": null,
"lastTransitionTime": "2021-06-30T12:45:40Z",
"message": "containers with unready status: [container-1 container-2]",
"reason": "ContainersNotReady",
"status": "False",
"type": "ContainersReady"
},
{
"lastProbeTime": null,
"lastTransitionTime": "2021-06-30T12:45:40Z",
"status": "True",
"type": "PodScheduled"
}
],
"containerStatuses": [
{
"image": "image-1",
"imageID": "",
"lastState": {},
"name": "container-1",
"ready": false,
"restartCount": 0,
"started": false,
"state": {
"waiting": {
"message": "Back-off pulling image \"image-1\"",
"reason": "ImagePullBackOff"
}
}
},
{
"image": "image-2",
"imageID": "",
"lastState": {},
"name": "container-2",
"ready": false,
"restartCount": 0,
"started": false,
"state": {
"waiting": {
"message": "Back-off pulling image \"image-2\"",
"reason": "ImagePullBackOff"
}
}
}
],
"qosClass": "BestEffort",
"startTime": "2021-06-30T12:45:40Z"
}
}
],
"kind": "List",
"metadata": {
"resourceVersion": "",
"selfLink": ""
}
}
my command:
jq '.items[] | { "name": .metadata.name, "containers": [{ "name": .spec.containers[].name, "image": .spec.containers[].image }]} '
desired output:
{
"name": "pod_1",
"containers": [
{
"name": "container_1",
"image": "image_1"
},
{
"name": "container_2",
"image": "image_2"
}
]
}
output I get:
{
"name": "pod-1",
"containers": [
{
"name": "container-1",
"image": "image-1"
},
{
"name": "container-1",
"image": "image-2"
},
{
"name": "container-2",
"image": "image-1"
},
{
"name": "container-2",
"image": "image-2"
}
]
}
Could anyone explain what am I doing wrong?
Best Regards, Piotr.
The problem is "name": .spec.containers[].name and "image": .spec.containers[].image:
Both expressions generate a sequence of each value for name and image which will than be combined.
Simplified example of why you get a Cartesian product:
jq -c -n '{name: ("A", "B"), value: ("C", "D")}'
outputs:
{"name":"A","value":"C"}
{"name":"A","value":"D"}
{"name":"B","value":"C"}
{"name":"B","value":"D"}
You get the desired output using this jq filter on your input:
jq '
.items[]
| {
"name": .metadata.name,
"containers": .spec.containers
| map({name, image})
}'
output:
{
"name": "pod-1",
"containers": [
{
"name": "container-1",
"image": "image-1"
},
{
"name": "container-2",
"image": "image-2"
}
]
}
can someone please send me solution or link for PowerShell 5 and 7 how can I access child elements if specific condition is fulfilled for JSON file which I have as output.json. I haven't find it on the net.
I want to retrieve value of the "children" elements if type element has value FILE and to put that into some list. So final result should be [test1.txt,test2.txt]
Thank you!!!
{
"path": {
"components": [
"Packages"
],
"parent": "",
"name": "Packages",
},
"children": {
"values": [
{
"path": {
"components": [
"test1.txt"
],
"parent": "",
"name": "test1.txt",
},
"type": "FILE",
"size": 405
},
{
"path": {
"components": [
"test2.txt"
],
"parent": "",
"name": "test2.txt",
},
"type": "FILE",
"size": 409
},
{
"path": {
"components": [
"FOLDER"
],
"parent": "",
"name": "FOLDER",
},
"type": "DIRECTORY",
"size": 1625
}
]
"start": 0
}
}
1.) The json is incorrect, I assumt that this one is the correct one:
{
"path": {
"components": [
"Packages"
],
"parent": "",
"name": "Packages"
},
"children": {
"values": [
{
"path": {
"components": [
"test1.txt"
],
"parent": "",
"name": "test1.txt"
},
"type": "FILE",
"size": 405
},
{
"path": {
"components": [
"test2.txt"
],
"parent": "",
"name": "test2.txt"
},
"type": "FILE",
"size": 409
},
{
"path": {
"components": [
"FOLDER"
],
"parent": "",
"name": "FOLDER"
},
"type": "DIRECTORY",
"size": 1625
}
],
"start": 0
}
}
2.) The structure is not absolute clear, but for your example this seems to me to be the correct solution:
$element = $json | ConvertFrom-Json
$result = #()
$element.children.values | foreach {
if ($_.type -eq 'FILE') { $result += $_.path.name }
}
$result | ConvertTo-Json
Be aware, that the used construct $result += $_.path.name is fine if you have up to ~10k items, but for very large items its getting very slow and you need to use an arraylist. https://adamtheautomator.com/powershell-arraylist/