Parse JSON array APEX_JSON in PL SQL - oracle

I have the following JSON object -
{
"items": [
{
"tableName": "contacts",
"count": 1,
"columnNames": [
"id"
],
"rows": [
[
"45"
]
]
}
],
"links": [
{
"rel": "self",
},
{
"rel": "describedby",
}
]
}
I am trying to extract the value from rows- I need the value 45.
I tried to extract using -
row_id := apex_json.get_number ('rows[%d]', 1);
How I can extract it?
Thanks in advance.


Here's an example:
declare
l_json_val apex_json.t_values;
l_clob clob;
l_row_val varchar2(255);
begin
l_clob := q'-
{
"items": [
{
"tableName": "contacts",
"count": 1,
"columnNames": [
"id"
],
"rows": [
[
"45"
]
]
}
],
"links": [
{
"rel": "self",
},
{
"rel": "describedby",
}
]
}
-';
apex_json.parse(p_values => l_json_val, p_source => l_clob, p_strict => false);
l_row_val := apex_json.get_varchar2(p_path => 'items[1].rows[1][1]', p_values => l_json_val);
dbms_output.put_line(l_row_val);
end;
Note that the path expressions with apex_json use a 1 base array index, not 0.

Related

To index geojson data to elasticsearch using curl

I'd like to index a geojson data to elasticsearch using curl
The geojson data looks like this:
{
"type": "FeatureCollection",
"name": "telco_new_development",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
"features": [
{ "type": "Feature", "properties": { "ogc_fid": 1, "name": "Yarrabilba", "carrier_name": "OptiComm", "uid": "35", "development_name": "Yarrabilba", "stage": "None", "developer_name": "Refer to Carrier", "development_nature": "Residential", "development_type": "Sub-division", "estimated_number_of_lots_or_units": "18500", "status": "Ready for service", "developer_application_date": "Check with carrier", "contract_date": "TBC", "estimated_service_date": "30 Jul 2013", "technology_type": "FTTP", "last_modified_date": "8 Jul 2020" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 153.101112, -27.797998 ], [ 153.09786, -27.807122 ], [ 153.097715, -27.816313 ], [ 153.100598, -27.821068 ], [ 153.103789, -27.825047 ], [ 153.106079, -27.830225 ], [ 153.108248, -27.836107 ], [ 153.110692, -27.837864 ], [ 153.116288, -27.840656 ], [ 153.119923, -27.844818 ], [ 153.122317, -27.853523 ], [ 153.127785, -27.851777 ], [ 153.131234, -27.85115 ], [ 153.135634, -27.849741 ], [ 153.138236, -27.848668 ], [ 153.141703, -27.847075 ], [ 153.152205, -27.84496 ], [ 153.155489, -27.843381 ], [ 153.158613, -27.841546 ], [ 153.161937, -27.84059 ], [ 153.156361, -27.838492 ], [ 153.157097, -27.83451 ], [ 153.15036, -27.832705 ], [ 153.151126, -27.827536 ], [ 153.15169, -27.822564 ], [ 153.148492, -27.820801 ], [ 153.148375, -27.817969 ], [ 153.139019, -27.815804 ], [ 153.139814, -27.808556 ], [ 153.126486, -27.80576 ], [ 153.124679, -27.803584 ], [ 153.120764, -27.802953 ], [ 153.121397, -27.797353 ], [ 153.100469, -27.79362 ], [ 153.099828, -27.793327 ], [ 153.101112, -27.797998 ] ] ] ] } },
{ "type": "Feature", "properties": { "ogc_fid": 2, "name": "Elliot Springs", "carrier_name": "OptiComm", "uid": "63", "development_name": "Elliot Springs", "stage": "None", "developer_name": "Refer to Carrier", "development_nature": "Residential", "development_type": "Sub-division", "estimated_number_of_lots_or_units": "11674", "status": "Ready for service", "developer_application_date": "Check with carrier", "contract_date": "TBC", "estimated_service_date": "29 Nov 2018", "technology_type": "FTTP", "last_modified_date": "8 Jul 2020" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 146.862725, -19.401424 ], [ 146.865987, -19.370253 ], [ 146.872767, -19.370901 ], [ 146.874484, -19.354706 ], [ 146.874913, -19.354301 ], [ 146.877059, -19.356811 ], [ 146.87972, -19.35835 ], [ 146.889161, -19.359321 ], [ 146.900062, -19.367581 ], [ 146.884955, -19.38507 ], [ 146.88341, -19.402558 ], [ 146.862725, -19.401424 ] ] ] ] } },
...
However, my curl is returns an error called The bulk request must be terminated by a newline [\\n]
curl -H 'Content-Type: application/x-ndjson' -XPOST 'localhost:9200/geo/building/_bulk?pretty' --data-binary #building.geojson
{
"error" : {
"root_cause" : [
{
"type" : "illegal_argument_exception",
"reason" : "The bulk request must be terminated by a newline [\\n]"
}
],
"type" : "illegal_argument_exception",
"reason" : "The bulk request must be terminated by a newline [\\n]"
},
"status" : 400
}
Any suggestion?

your format is not suitable for _bulk like that, as it's missing the structure it expects. https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-bulk.html goes into that
you need;
to update your json file to have something like { "index" : { "_index" : "INDEX-NAME-HERE" } } before each of the documents
each document also needs to be on a single line
each line needs a \n at the end of it so that the bulk API knows when the action/record ends

How to use apex_json.get_count in a nested array

I am trying to loop through the array from the count of the benefits element in my json. I keep getting numeric value error although get count function in apex json returns a number.
If we change the loop to for 1 in 1..2 - it works fine.
If we hardcode the array index to 1 then the code works but if we try to pass a variable using %d p0 then i get a numeric value error - ORA - 06502.
Below is the code:
j apex_json.t_values;
l_count_chg number;
l_count_pers number;
l_count_ben number;
l_members wwv_flow_t_varchar2;
l_paths apex_t_varchar2;
l_paths2 apex_t_varchar2;
l_paths3 apex_t_varchar2;
v_get_person varchar2(10);
v_get_benefit varchar2(10);
v_get_benopt varchar2(10);
r_count number;
begin
apex_json.parse(j,'{
"PolicyUpdate": {
"contractNumber": 12345,
"effectiveDate": "2022-04-01",
"planChanges": [
{
"changeCode": 1,
"roleplayerId": "pers1",
"person": {
"id": "pers1",
"surname": "Hazy",
"firstName": "Smith",
"benefits": [
{
"Id": "ben1",
"typeCode": "C1",
"benefitName": "Funeral Benefit",
"roleplayerId": "pers1",
"coverAmount": 10000,
"premiumAmount": 47.47,
"StartDate": "2021-04-01",
"Options": {
"Option": [
{
"Label": "Risk Benefit Classification",
"Value": "Main Life"
},
{
"Label": "Waiting Period (DOC to Event)",
"Value": "6 Months"
},
{
"Label": "Paid Up Benefit (Y/N)",
"Value": "No"
}
]
}
},
{
"Id": "ben2",
"typeCode": "C1",
"benefitName": "Tombstone Benefit",
"roleplayerId": "pers1",
"coverAmount": 5000,
"premiumAmount": 10.47,
"StartDate": "2021-04-01"
}
]
}
},
{
"changeCode": 2,
"roleplayerId": "pers2"
}
]
}
}');
dbms_output.put_line('Contract Number : ' ||
apex_json.get_varchar2(p_path => 'PolicyUpdate.contractNumber'));
dbms_output.put_line('Effective Adte : ' ||
apex_json.get_varchar2(p_path => 'PolicyUpdate.effectiveDate'));
dbms_output.put_line('----------------------------------------');
l_count_chg := apex_json.get_count(p_path => 'PolicyUpdate.planChanges',p_values=>j);
dbms_output.put_line('change count '||l_count_chg);
for i in 1..l_count_chg loop
dbms_output.put_line('changeCode '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].changeCode' ,p_values=>j,p0 => i));
dbms_output.put_line('roleplayerId '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].roleplayerId',p_values=>j,p0 => i));
dbms_output.put_line('firstname '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].person.firstName',p_values=>j,p0 => i));
l_count_ben := apex_json.get_count(p_path => 'PolicyUpdate.planChanges[%d].person.benefits',p_values=>j);
dbms_output.put_line('benefit count '|| l_count_ben);
for x in 1..l_count_ben loop
dbms_output.put_line('ben id '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].person.benefits[%d].Id',p_values=>j,p0 => i,p1 => x));
end loop;
end loop;
end;

For me the count didn't return a number (just no value) so I made some changes - I found it safest to check if the path exists before getting the count:
declare
j apex_json.t_values;
l_count_chg number;
l_count_pers number;
l_count_ben number;
l_members wwv_flow_t_varchar2;
l_paths apex_t_varchar2;
l_paths2 apex_t_varchar2;
l_paths3 apex_t_varchar2;
v_get_person varchar2(10);
v_get_benefit varchar2(10);
v_get_benopt varchar2(10);
r_count number;
begin
apex_json.parse(j,'{
"PolicyUpdate": {
"contractNumber": 12345,
"effectiveDate": "2022-04-01",
"planChanges": [
{
"changeCode": 1,
"roleplayerId": "pers1",
"person": {
"id": "pers1",
"surname": "Hazy",
"firstName": "Smith",
"benefits": [
{
"Id": "ben1",
"typeCode": "C1",
"benefitName": "Funeral Benefit",
"roleplayerId": "pers1",
"coverAmount": 10000,
"premiumAmount": 47.47,
"StartDate": "2021-04-01",
"Options": {
"Option": [
{
"Label": "Risk Benefit Classification",
"Value": "Main Life"
},
{
"Label": "Waiting Period (DOC to Event)",
"Value": "6 Months"
},
{
"Label": "Paid Up Benefit (Y/N)",
"Value": "No"
}
]
}
},
{
"Id": "ben2",
"typeCode": "C1",
"benefitName": "Tombstone Benefit",
"roleplayerId": "pers1",
"coverAmount": 5000,
"premiumAmount": 10.47,
"StartDate": "2021-04-01"
}
]
}
},
{
"changeCode": 2,
"roleplayerId": "pers2"
}
]
}
}');
dbms_output.put_line('Contract Number : ' ||
apex_json.get_varchar2(p_path => 'PolicyUpdate.contractNumber',p_values => j));
dbms_output.put_line('Effective Adte : ' ||
apex_json.get_varchar2(p_path => 'PolicyUpdate.effectiveDate',p_values => j));
dbms_output.put_line('----------------------------------------');
l_count_chg := apex_json.get_count(p_path => 'PolicyUpdate.planChanges',p_values=>j);
dbms_output.put_line('change count '||l_count_chg);
for i in 1..l_count_chg loop
dbms_output.put_line('changeCode '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].changeCode' ,p_values=>j,p0 => i));
dbms_output.put_line('roleplayerId '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].roleplayerId',p_values=>j,p0 => i));
dbms_output.put_line('firstname '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].person.firstName',p_values=>j,p0 => i));
IF apex_json.does_exist(p_path => 'PolicyUpdate.planChanges[%d].person.benefits',p0 => i,p_values=>j) THEN
l_count_ben := apex_json.get_count(p_path => 'PolicyUpdate.planChanges[%d].person.benefits',p0 => i,p_values=>j);
dbms_output.put_line('benefit count '|| l_count_ben);
for x in 1..l_count_ben loop
dbms_output.put_line('ben id '||apex_json.get_varchar2(p_path => 'PolicyUpdate.planChanges[%d].person.benefits[%d].Id',p_values=>j,p0 => i,p1 => x));
end loop;
END IF;
end loop;
end;

Koen's suggestion of testing with EXISTS is excellent.
He also added this, but didn't spell out that your original version seemed to be missing the parameter:
p0 => i
when calculating l_count_ben
So the get_count value would have been unknown.

Validate 2 depth array on Laravel

Is there a way to validate this array(), Nothing works so far:
[
{
"transaction": {
"user_id": 6,
"month": 12,
"year": 2084
},
"entities": [
{
"name": "Allan Botsford",
"value": 3,
"is_total": false,
"type": "CASH"
},
{
"name": "Luisa Schiller Sr.",
"value": 6266,
"is_total": false,
"type": "CASH"
},
{
"name": "Susie Deckow MD",
"value": 506700,
"is_total": false,
"type": "CASH"
}
]
},
{
"transaction": {
"user_id": 7,
"month": 5,
"year": 2002
},
"entities": [
{
"name": "Raquel Jast",
"value": 7,
"is_total": false,
"type": "CASH"
},
{
"name": "Wendell Herman I",
"value": 4480,
"is_total": false,
"type": "CASH"
},
{
"name": "Oceane Greenfelder DDS",
"value": 46344,
"is_total": false,
"type": "CASH"
}
]
}
]
I can validate the transaction with the following rules:
[
'*.transaction.month' => 'required|numeric',
'*.transaction.year' => 'required|numeric',
'*.transaction.transaction_date' => 'sometimes|date_format:Y-m-d'
]
The problem is in the nested entities array because the following rules are ignored:
return [
'*.entities.*.is_total' => 'required|boolean',
'*.entities.*.name' => 'required|string',
'*.entities.*.value' => 'required|numeric',
'*.entities.*.type' => ['required', Rule::in(CashTemporaryInvestment::TYPES)]
]
I don't find any hint on laravel documentation. I will appreciate any help. I am using Laravel 7

Laravel Validator wildcard will work using the following preg_match() as seen in the Validator class
$pattern = str_replace('\*', '([^\.]+)', preg_quote($this->getPrimaryAttribute($attribute), '/'));
So your pattern will work if you can access the attributes using
[0]['entities'][0]['is_total'] for your rule '*.entities.*.is_total' => 'required|boolean',

what is the json mapping to insert geo data into elasticsearch?

what would be the json mapping to insert geo data into elasticsearch ??
if the sample json data as follows:
{ "type": "Feature", "properties": { "ID": 631861455.000000, "address": "1206 UPPER", "city": "la vegas", "state": "AL", "zip_code": "15656", "OGR_GEOMETRY": "POLYGON" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -86.477551331, 32.490605650000099 ], [ -86.477637350999899, 32.4903921820001 ], [ -86.478257247, 32.490565591000099 ], [ -86.478250466, 32.490580239000103 ], [ -86.478243988, 32.490593680000096 ], [ -86.47823751, 32.490607122 ], [ -86.478231749, 32.490619100000096 ], [ -86.478224637, 32.490634065000101 ], [ -86.47821823699999, 32.490647540000097 ], [ -86.478211847999901, 32.490661035000095 ], [ -86.478205478999897, 32.490674526000099 ], [ -86.478202107999891, 32.490681666000093 ], [ -86.478199132, 32.4906880240001 ], [ -86.478192825999898, 32.490701523 ], [ -86.478186533, 32.490715047 ], [ -86.47818320899999, 32.490722209000097 ], [ -86.47818027999989, 32.490728569000098 ], [ -86.478174063, 32.490742125000097 ], [ -86.47816785099999, 32.490755654000097 ], [ -86.47816255799999, 32.490767236000096 ], [ -86.478159053999889, 32.490774513000105 ], [ -86.477551331, 32.490605650000099 ] ] ] } }

Look at Geo point mapping.
You need to define mapping.

Using d3.nest() with geojson files

How is d3.nest() used with geojson files?
My geojson data is formatted as follows:
"features": [
{ "type": "Feature", "properties": { "neighborhood": "Allerton", "boroughCode": "2", "borough": "Bronx", "#id": "http:\/\/nyc.pediacities.com\/Resource\/Neighborhood\/Allerton" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -73.848597000000183, 40.871670000000115 ], [ -73.845822536836778, 40.870239076236174 ], [ -73.854559184633743, 40.859953835764252 ], [ -73.854665433068263, 40.859585694988056 ], [ -73.856388703358959, 40.857593635304482 ], [ -73.868881809153407, 40.857223150158326 ], [ -73.868317552728243, 40.857862062258313 ], [ -73.869553714672321, 40.857784095600181 ], [ -73.871024857620654, 40.857309948816905 ], [ -73.870480549987164, 40.865413584098484 ], [ -73.87055489856489, 40.869702798589863 ], [ -73.86721594442561, 40.869689663636713 ], [ -73.85745, 40.869533000000182 ], [ -73.855550000000108, 40.871813000000145 ], [ -73.853597967576576, 40.873288368674203 ], [ -73.848597000000183, 40.871670000000115 ] ] ] } }
But my nest command:
var nested_data = d3.nest()
.key(function(d, i) { console.log(d); return d.features.properties.neighborhood; })
.entries(map);
returns an empty array.
I want to nest my data to more easily filter it. Is this advised?

Assuming your geojson looks like the below
var map = {
type: "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {
"neighborhood": "Allerton",
"boroughCode": "2",
"borough": "Bronx",
"#id": "http:\/\/nyc.pediacities.com\/Resource\/Neighborhood\/Allerton"
},
"geometry": { /* various coordinates, etc */ }
]
}
So, what you want to do is:
d3.nest()
.key(function(d, i) {
return d.properties.neighborhood;
})
.entries(map.features);
You want to pass map.features since that's your array.

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