I have a json with about 1000 fields like below
{
"Order": {
"AdjustmentInvoicePending": "",
"AllAddressesVerified": "",
"AllocationRuleID": "",
"AuthorizationExpirationDate": "",
"BillToKey": "",
"CarrierAccountNo": "",
"ChainType": "",
"ChargeActualFreightFlag": "",
"ComplimentaryGiftBoxQty": "",
"ContactKey": "",
"CustomerAge": "",
"CustomerEMailID": "",
"CustomerFirstName": "",
"CustomerLastName": "",
"CustomerPhoneNo": "",
"CustomerZipCode": "",
"Division": "",
"DocumentType": "",
"DraftOrderFlag": "",
"EnterpriseCode": "",
"EntryType": "",
"FreightTerms": "",
"HasDeliveryLines": "",
"HasDerivedChild": "",
"HasDerivedParent": "",
"HasProductLines": "",
"HoldFlag": "",
"HoldReasonCode": "",
"InvoiceComplete": "",
"isHistory": "",
"MaxOrderStatus": "",
"MaxOrderStatusDesc": "",
"MinOrderStatus": "",
"MinOrderStatusDesc": "",
"NoOfAuthStrikes": "",
"NotifyAfterShipmentFlag": "",
"OrderClosed": "",
"OrderDate": "",
"OrderHeaderKey": "",
"OrderNo": "",
"OrderType": "",
"OriginalTax": "",
"OriginalTotalAmount": "",
"OtherCharges": "",
"PaymentRuleId": "",
"PaymentStatus": "",
"PendingTransferIn": "",
"PriorityNumber": "",
"ReqCancelDate": "",
"ReturnByGiftRecipient": "",
"SaleVoided": "",
"ScacAndService": "",
"ScacAndServiceKey": "",
"SellerOrganizationCode": "",
"ShipToKey": "",
"SourcingClassification": "",
"Status": "",
"Tax": "",
"TotalAdjustmentAmount": "",
"AdditionalAddresses": {
"AdditionalAddress": [
{
"AddressType": "",
"EntityKey": "",
"PersonInfoKey": "",
"PersonInfo": {
"AddressID": "",
"AddressLine1": "",
"AddressLine2": "",
"AddressLine3": "",
"AddressLine4": "",
"AddressLine5": "",
"AddressLine6": "",
"AddressType": "",
"AlternateEmailID": "",
"Beeper": "",
"City": "",
"Company": "",
"Country": "",
"DayFaxNo": "",
"DayPhone": "",
"Department": "",
"EMailID": "",
"EveningFaxNo": "",
"EveningPhone": "",
"FirstName": "",
"IsAddressVerified": "",
"IsCommercialAddress": "",
"JobTitle": "",
"LastName": "",
"Latitude": "",
"Longitude": "",
"MiddleName": "",
"MobilePhone": "",
"OtherPhone": "",
"PersonID": "",
"PersonInfoKey": "",
"State": "",
"Suffix": "",
"TaxGeoCode": "",
"Title": "",
"ZipCode": ""
}
}
]
}
I want an output like "AdjustmentInvoicePending": "WQEMQAMCDQ", With all null spots replace with random unique values which changes each time i run the code
I tried using python and coverted json and assigned it to variable but am stuck from their i am new to programming and first time posting on slack please go easy on me if you are not able to understand and please forgive any typo
I recommend just using nested loops to iterate through and add random values. A snippet is below. You'll need to change it to work precisely for your problem. With that said, you can't guarantee randomness and uniqueness. For most uses, you can get by with just using a pseudorandom generator, but there is always the chance for collisions when dealing with randomness.
Also, this will fail with the list embedded in the dictionary, so you'll need to add some extra control-flow logic to deal with that circumstance, but this should help with getting you started.
import string
import random
N = 10 # length of the string
for i in json_var.keys(): # json_var is your json
for j in i.keys():
json_var[i][j].join(random.choices(string.ascii_uppercase, k=N))
Related
I have nested JSON of type
[{
"emails": [{
"label": "",
"primary": "",
"relationdef_id": "",
"type": "",
"value": ""
}],
"licenses": [{
"allocated": "",
"parent_type": "",
"parentid": "",
"product_type": "",
"purchased_license_id": "",
"service_type": ""
}, {
"allocated": "",
"parent_type": "",
"parentid": "",
"product_type": "",
"purchased_license_id": "",
"service_type": ""
}]
}, {
"emails": [{
"label": "",
"primary": "",
"relationdef_id": "",
"type": "",
"value": ""
}],
"licenses": [{
"allocated": "2016-04-26 01:46:26",
"parent_type": "",
"parentid": "",
"product_type": "",
"purchased_license_id": "",
"service_type": ""
}]
}]
which is not able to be converted to athena table.
I have tried to update it to list of objects also
{
"emails": [{
"label": "",
"primary": "",
"relationdef_id": "",
"type": "",
"value": ""
}
],
"licenses": [{
"allocated": "",
"parent_type": "",
"parentid": "",
"product_type": "",
"purchased_license_id": "",
"service_type": ""
},{
"allocated": "",
"parent_type": "",
"parentid": "",
"product_type": "",
"purchased_license_id": "",
"service_type": ""
}
]
}
{
"emails": [{
"label": "",
"primary": "",
"relationdef_id": "",
"type": "",
"value": ""
}
],
"licenses": [{
"allocated": "",
"parent_type": "",
"parentid": "",
"product_type": "",
"purchased_license_id": "",
"service_type": ""
}
]
}
{
"emails": [{
"label": "",
"primary": "",
"relationdef_id": "",
"type": "",
"value": ""
}
],
"licenses": [{
"allocated": "",
"parent_type": "",
"parentid": "",
"product_type": "",
"purchased_license_id": "",
"service_type": ""
}
]
}
with Query:
CREATE EXTERNAL TABLE `test_orders1`(
`emails` array<struct<`label`: string, `primary`: string,`relationdef_id`: string,`type`: string, `value`: string>>,
`licenses` array<struct<`allocated`: string, `parent_type`: string, `parentid`: string, `product_type`: string,`purchased_license_id`: string, `service_type`: string>>)
ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe'
WITH SERDEPROPERTIES ( 'ignore.malformed.json' = 'true')
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
but only 1 row is formed.
Is there a way where i can use Nested json of type JSONArray into Athena table?
Or how can I change Nested Json that will work for me?
When querying JSON data Athena requires the files to be formatted with one JSON document per line. It's unclear from your question if this is the case or not, the examples you give are multiline, but perhaps that's only to make the question more clear.
The table DDL you include looks like it should work on the second example data, provided that it is formatted as one document per line, e.g.
{"emails": [{"label": "", "primary": "", "relationdef_id": "", "type": "", "value": ""}], "licenses": [{"allocated": "", "parent_type": "", "parentid": "", "product_type": "", "purchased_license_id": "", "service_type": ""}, { "allocated": "", "parent_type": "", "parentid": "", "product_type": "", "purchased_license_id": "", "service_type": ""}]}
{"emails": [{"label": "", "primary": "", "relationdef_id": "", "type": "", "value": ""}], "licenses": [{"allocated": "", "parent_type": "", "parentid": "", "product_type": "", "purchased_license_id": "", "service_type": ""}]}
{"emails": [{"label": "", "primary": "", "relationdef_id": "", "type": "", "value": ""}], "licenses": [{"allocated": "", "parent_type": "", "parentid": "", "product_type": "", "purchased_license_id": "", "service_type": ""}]}
I have multiple json scripts with a similar format as:
{
"name": "xyz",
"slug": "xyz",
"supplier": "xyz.limited",
"attributes": [
{
"name": "mass",
"productConfiguration": "base",
"description": "",
"value": "0.24",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "kg",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "length",
"productConfiguration": "base",
"description": "assumed to be length",
"value": "58.0",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "mm",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "height",
"productConfiguration": "base",
"description": "assumed to be height",
"value": "25.0",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "mm",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "width",
"productConfiguration": "base",
"description": "assumed to be width",
"value": "58.0",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "mm",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "momentum-storage",
"productConfiguration": "base",
"description": "",
"value": "0.050",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "N m s",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "maximum-torque",
"productConfiguration": "base",
"description": "",
"value": "0.007",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "N m",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "voltage",
"productConfiguration": "base",
"description": "voltage is given in DC current",
"value": "12.0",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "V",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "maximum-power",
"productConfiguration": "base",
"description": "",
"value": "9.0",
"minimumValue": "",
"maximumValue": "",
"measurementUnit": "W",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
},
{
"name": "lifetime",
"productConfiguration": "base",
"description": "",
"value": "",
"minimumValue": "5.0",
"maximumValue": "",
"measurementUnit": "yr",
"uuid": "",
"attributeClassUuid": "",
"productUuid": ""
}
]
}
Each of these files have different set of attributes defined. I would like to plot the number of times each attribute is repeated across all files. I try to do this using python3.5 functionalities 'os' and 'panda.DataFrame'. However, got lost somewhere! Can use some help with this. Thanks in advance!
In a nutshell, I need to take a gzipped file containing json very similar to this example, unzip it (I know how to do that), get each json object as a string and push it to AMQ from where it will be popped to a webservice. I'm fine with all of this with one object, but I will be receiving a file that represents an array. If this were an array of strings or xml, I see how Camel processes it, but I don't see a way to split json. Also, this will require streaming as these files can be very large. Edited to try to make request clearer, and provide a sample json.
[
{
"rickenbackerRepair": {
"estimateId": 22788411
},
"repairShop": {
"inspectionSite": {
"inspectionDate": ""
},
"repairFacility": {
"companyIdCode": "",
"companyName": "",
"city": "",
"stateProvince": "",
"zipPostalCode": "",
"country": ""
},
"repairInformation": {
"guitarDateInShop": "",
"guitarTimeInShop": "",
"authorizationMemo": "",
"guitarTargetCompletionDate": "",
"guitarTargetCompletionTime": "",
"guitarCompletionDate": "",
"guitarCompletionTime": ""
},
"locationOfguitar": {
"city": "",
"stateProvince": "",
"zipPostalCode": "",
"country": ""
}
},
"instrumentIdentifier": {
"guitar": {
"claimRelated": {
"primaryPointOfImpact": "",
"secondaryPointOfImpact": ""
},
"identification": {
"databaseguitarCode": "",
"manufacturingStateProvince": "",
"serialNumber": "",
"guitarCondition": "",
"productionDate": "",
"year": "",
"model": "",
"guitarType": "",
"bodyStyle": "",
"trimCode": "",
"trimColor": "",
"optionsList": ""
}
}
},
"lin": [{
"internalControl": {
"lineIndicator": ""
},
"part": {
"description": {
"partType": "",
"descriptionJudgmentFlag": "",
"oemPartNumber": "",
"priceIncludedIndicator": "",
"alternatePartIndicator": "",
"taxableFlag": "",
"databasePartPrice": "",
"actualPartPrice": "",
"priceJudgmentFlag": "",
"certifiedFlag": "",
"quantity": ""
},
"nonOemSupplier": {
"companyIdCode": "",
"nonOemPartNumber": "",
"nonOemSupplierUserOverride": "",
"nonOemSupplierMemo": ""
},
"adjustment": {
"percent": "",
"amount": ""
}
},
"labor": {
"description": {
"type": "",
"actualHours": "",
"hoursJudgmentFlag": "",
"typeJudgmentFlag": ""
},
"miscSublet": {
"amount": "",
"subletFlag": ""
}
}
}],
"stl": {
"subtotal": [{
"totalType": "",
"totalTypeCode": "",
"subtotalDetail": {
"taxableAmount": ""
}
}]
}
},
{
"rickenbackerRepair": {
"estimateId": 22788412
},
"repairShop": {
"inspectionSite": {
"inspectionDate": ""
},
"repairFacility": {
"companyIdCode": "",
"companyName": "",
"city": "",
"stateProvince": "",
"zipPostalCode": "",
"country": ""
},
"repairInformation": {
"guitarDateInShop": "",
"guitarTimeInShop": "",
"authorizationMemo": "",
"guitarTargetCompletionDate": "",
"guitarTargetCompletionTime": "",
"guitarCompletionDate": "",
"guitarCompletionTime": ""
},
"locationOfguitar": {
"city": "",
"stateProvince": "",
"zipPostalCode": "",
"country": ""
}
},
"instrumentIdentifier": {
"guitar": {
"claimRelated": {
"primaryPointOfImpact": "",
"secondaryPointOfImpact": ""
},
"identification": {
"databaseguitarCode": "",
"manufacturingStateProvince": "",
"serialNumber": "",
"guitarCondition": "",
"productionDate": "",
"year": "",
"model": "",
"guitarType": "",
"bodyStyle": "",
"trimCode": "",
"trimColor": "",
"optionsList": ""
}
}
},
"lin": [{
"internalControl": {
"lineIndicator": ""
},
"part": {
"description": {
"partType": "",
"descriptionJudgmentFlag": "",
"oemPartNumber": "",
"priceIncludedIndicator": "",
"alternatePartIndicator": "",
"taxableFlag": "",
"databasePartPrice": "",
"actualPartPrice": "",
"priceJudgmentFlag": "",
"certifiedFlag": "",
"quantity": ""
},
"nonOemSupplier": {
"companyIdCode": "",
"nonOemPartNumber": "",
"nonOemSupplierUserOverride": "",
"nonOemSupplierMemo": ""
},
"adjustment": {
"percent": "",
"amount": ""
}
},
"labor": {
"description": {
"type": "",
"actualHours": "",
"hoursJudgmentFlag": "",
"typeJudgmentFlag": ""
},
"miscSublet": {
"amount": "",
"subletFlag": ""
}
}
}],
"stl": {
"subtotal": [{
"totalType": "",
"totalTypeCode": "",
"subtotalDetail": {
"taxableAmount": ""
}
}]
}
}
]
You should be able to use a jsonpath expression to split the incoming message (file) and process each element individually.
<route>
<from uri="file://path" />
<split>
<jsonpath>$.</jsonpath>
<to uri="direct:doSomething">
</split>
</route>
I have gotten an application where the input has been scaled up from 50K location records to 1.1 Million location records.
This has caused serious issues as the entire file was previously de-serialized into a single object.
The size of the object is ~1GB for a production like file with 1.1 Million records.
Due to large object GC issues I want to keep the de-serialized object below the 85K mark.
I'm trying to parse out a single location object at a time and de-serialize it so I can control the number of objects
that get de-serialized and in turn control the size of the object. I'm using the Json.Net libraries to do this.
Below is a sample of the JSON file that I'm receiving as a stream into my application.
{
"Locations": [{
"LocationId": "",
"ParentLocationId": "",
"DisplayFlag": "Y",
"DisplayOptions": "",
"DisplayName": "",
"Address": "",
"SecondaryAddress": "",
"City": "",
"State": "",
"PostalCode": "",
"Country": "",
"Latitude": 40.59485,
"Longitude": -73.96174,
"LatLonQuality": 99,
"BusinessLogoUrl": "",
"BusinessUrl": "",
"DisplayText": "",
"PhoneNumber": "",
"VenueGroup": 7,
"VenueType": 0,
"SubVenue": 0,
"IndoorFlag": "",
"OperatorDefined": "",
"AccessPoints": [{
"AccessPointId": "",
"MACAddress": "",
"DisplayFlag": "",
"DisplayOptions": "",
"Latitude": 40.59485,
"Longitude": -73.96174,
"Status": "Up",
"OperatorDefined": "",
"RoamingGroups": [{
"GroupName": ""
},
{
"GroupName": ""
}],
"Radios": [{
"RadioId": "",
"RadioFrequency": "",
"RadioProtocols": [{
"Protocol": ""
}],
"WifiConnections": [{
"BSSID": "",
"ServiceSets": [{
"SSID": "",
"SSID_Broadcasted": ""
}]
}]
}]
}]
},
{
"LocationId": "",
"ParentLocationId": "",
"DisplayFlag": "Y",
"DisplayOptions": "",
"DisplayName": "",
"Address": "",
"SecondaryAddress": "",
"City": "",
"State": "",
"PostalCode": "",
"Country": "",
"Latitude": 40.59485,
"Longitude": -73.96174,
"LatLonQuality": 99,
"BusinessLogoUrl": "",
"BusinessUrl": "",
"DisplayText": "",
"PhoneNumber": "",
"VenueGroup": 7,
"VenueType": 0,
"SubVenue": 0,
"IndoorFlag": "",
"OperatorDefined": "",
"AccessPoints": [{
"AccessPointId": "",
"MACAddress": "",
"DisplayFlag": "",
"DisplayOptions": "",
"Latitude": 40.59485,
"Longitude": -73.96174,
"Status": "Up",
"OperatorDefined": "",
"RoamingGroups": [{
"GroupName": ""
},
{
"GroupName": ""
}],
"Radios": [{
"RadioId": "",
"RadioFrequency": "",
"RadioProtocols": [{
"Protocol": ""
}],
"WifiConnections": [{
"BSSID": "",
"ServiceSets": [{
"SSID": "",
"SSID_Broadcasted": ""
}]
}]
}]
}]
}]
}
I need to be able to pull out the individual Location objects, so that I would be looking at the following
{
"LocationId": "",
"ParentLocationId": "",
"DisplayFlag": "Y",
"DisplayOptions": "",
"DisplayName": "",
"Address": "",
"SecondaryAddress": "",
"City": "",
"State": "",
"PostalCode": "",
"Country": "",
"Latitude": 40.59485,
"Longitude": -73.96174,
"LatLonQuality": 99,
"BusinessLogoUrl": "",
"BusinessUrl": "",
"DisplayText": "",
"PhoneNumber": "",
"VenueGroup": 7,
"VenueType": 0,
"SubVenue": 0,
"IndoorFlag": "",
"OperatorDefined": "",
"AccessPoints": [{
"AccessPointId": "",
"MACAddress": "",
"DisplayFlag": "",
"DisplayOptions": "",
"Latitude": 40.59485,
"Longitude": -73.96174,
"Status": "Up",
"OperatorDefined": "",
"RoamingGroups": [{
"GroupName": ""
},
{
"GroupName": ""
}],
"Radios": [{
"RadioId": "",
"RadioFrequency": "",
"RadioProtocols": [{
"Protocol": ""
}],
"WifiConnections": [{
"BSSID": "",
"ServiceSets": [{
"SSID": "",
"SSID_Broadcasted": ""
}]
}]
}]
}]
}
I'm trying to use the Json.NET JsonTextReader to accomplish this, however I cannot get the reader to contain an entire location in its buffer, due to the size of the records in the stream the reader initially will have down as far as "RadioProtocols", which is mid way through the object, by the time the stream reaches the end of the object, the reader has discarded the start of the object.
The code I'm using to try to get this functionality to work is
var ser = new JsonSerializer();
using (var reader = new JsonTextReader(new StreamReader(stream)))
{
reader.SupportMultipleContent = true;
while (reader.Read())
{
if (reader.TokenType == JsonToken.StartObject && reader.Depth == 2)
{
do
{
reader.Read();
} while (reader.TokenType != JsonToken.EndObject && reader.Depth == 2);
var singleLocation = ser.Deserialize<Locations>(reader);
}
}
}
Any information on this or an alternative to doing it would be greatly appreciated. As a side note, the way our customers send the information cannot change at this time.
When the reader is positioned at the beginning of the object you want to deserialize (an entry in the Locations array in your case), you can just call ser.Deserialize<T>(reader) and it will work, advancing to the end of the object at that level, and no further. Thus the following should iterate through the Location objects in your file, loading each one separately:
public static IEnumerable<T> DeserializeNestedItems<T>(TextReader textReader)
{
var ser = new JsonSerializer();
using (var reader = new JsonTextReader(textReader))
{
reader.SupportMultipleContent = true;
while (reader.Read())
{
if (reader.TokenType == JsonToken.StartObject && reader.Depth == 2)
{
var item = ser.Deserialize<T>(reader);
yield return item;
}
}
}
}
And an example of use using your test string:
Debug.Assert(DeserializeNestedItems<Location>(new StringReader(json)).Count() == 2); // No assert.
var list = DeserializeNestedItems<Location>(new StringReader(json)).SelectMany(l => l.AccessPoints).Select(a => new { a.Latitude, a.Longitude }).ToList();
Debug.WriteLine(JsonConvert.SerializeObject(list, Formatting.Indented));
Which outputs:
[
{
"Latitude": 40.59485,
"Longitude": -73.96174
},
{
"Latitude": 40.59485,
"Longitude": -73.96174
}
]
Note - the Location class comes from posting your JSON to http://json2csharp.com/.
Thanks for all the help, I've managed to get it doing what I want which is de-serializing individual location objects.
If the item is converted to a JObject it will read in the full object and de-serialize it, this can be looped to get the solution.
This is the code that was settled on
while (reader.Read())
{
if (reader.TokenType == JsonToken.StartObject && reader.Depth == 2)
{
location = JObject.Load(reader).ToObject<Location>();
var lv = new LocationValidator(location, FootprintInfo.OperatorId, FootprintInfo.RoamingGroups, true);
var vr = lv.IsValid();
if (vr.Successful)
{
yield return location;
}
else
{
errors.Add(new Error(elNumber, location.LocationId, vr.Error.Field, vr.Error.Detail));
if (errors.Count >= maxErrors)
{
yield break;
}
}
++elNumber;
}
}
{
"ws_result":
[
{
"token": "",
"norm_token": "",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "",
"child":
[
{
"token": "",
"norm_token":"",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "",
"child":
[
{
"token": "",
"norm_token":"",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "",
"child": [ ]
},
{
"token": "",
"norm_token":"",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "",
"child": [ ]
}
]
},
{
"token": "",
"norm_token":"",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "",
"child":
[
{
"token": "",
"norm_token":"",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "",
"child": [ ]
}
]
}
]
},
{
"token": "",
"norm_token":"",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "2",
"child": [ ]
},
{
"token": "",
"norm_token": "",
"len": "",
"type": "",
"pos": "",
"prop": "",
"stag": "",
"child": [ ]
}
]
}
Such that some children are empty some is not, and some children contain more children. How do I actually parse this thing and get what I want. I am totally new with Json, and I am trying to use Gson. What I want is to get a value of a token with specific type in the nested Json. Thanks a lot for any help and directions.
I tried use com.google.gson.stream.JsonReader, but ist not working
JsonReader jsonReader = new JsonReader(new StringReader(result));
jsonReader.beginObject();
while(jsonReader.hasNext()){
String field = jsonReader.nextName();
if (field.equals("type")){
System.out.println(jsonReader.nextString());
} else if (field.equals("token")){
System.out.println(jsonReader.nextString());
} else {
jsonReader.skipValue();
}
}
jsonReader.endObject();
Parse your json recursively like this:
http://snipplr.com/view/71742/java-reflection-and-recursive-json-deserializer-using-gson/
private void parse(JsonObject o, PackagingResponse r){
Iterator<Entry<String, JsonElement>> i = o.entrySet().iterator();
while(i.hasNext()){
Entry<String, JsonElement> e = i.next();
JsonElement el = e.getValue();
if(el.isJsonObject())
parse(el.getAsJsonObject(), r);
//......
}
}