Count in savedSearch kibana - kibana

Question

I'm using kibana safesearch to get an extract of data in csv and as I'm quite new to this I came here to get some help .I need to count how many times we got the occurences of product in the json file I use(or i've got a field name "ref" with a values associated but it from 0 to 99 and I need it to be 1 to 1000). Here an example of files I use :
{
"header": {
"salesOrderId": "toto",
"salesOrderDate" : "2021-02-16T19:04:14+01:00",
"salesOrderChangeVersion": "0",
"purchaseOrderRequestId": "uncle",
"requestNumber": "00005",
"channel":"TEST",
"requestStatus": "ORDER_COMPLETE"
},
"reject": [],
"offer": [
{
"offerCode": "3150",
"offerFunctionalVersion": "1.0",
"contract":{
"contractNumber":"1-10000361221",
"contractVersionNumber":"0"
},
"criterion": [
{
"criterionCode": "firstStampPosition",
"criterionValue": "1"
},
{
"criterionCode": "maxWeight",
"criterionValue": "20"
},
{
"criterionCode": "specimenFlag",
"criterionValue": "0"
}
],
"customer": {
"custAccNumber": "777",
"customerType": "PAR"
},
"product": [
{
"productCode": "4L",
"criterion": [
{
"criterionCode": "sheet_formatCode",
"criterionValue": "L12A"
},
{
"criterionCode": "ref",
"criterionValue": "0"
},
{
"criterionCode": "marking_template",
"criterionValue": "stp1_fr"
},
{
"criterionCode": "logo",
"criterionValue": "link here"
},
{
"criterionCode": "weight",
"criterionValue": "21"
},
{
"criterionCode": "stamp_mention",
"criterionValue": "Utilisable par multiple au-delà de 20g"
},
{
"criterionCode": "signedFlag",
"criterionValue": "1"
},
{
"criterionCode": "marking_productLabel",
"criterionValue": "Lettre verte"
},
{
"criterionCode": "SD_originCode",
"criterionValue": "87"
},
{
"criterionCode": "soCode",
"criterionValue": "381"
},
{
"criterionCode": "asCode",
"criterionValue": "A10"
},
{
"criterionCode": "countryCode",
"criterionValue": "250"
}
],
"criteriaGroup": [
{
"criteriaGroupCode": "addressGroup",
"criteriaGroupIndex": "0",
"criterion": [
{
"criterionCode": "receiver_address_name1",
"criterionValue": "M et Mme DUTEST"
},
{
"criterionCode": "receiver_address_add4",
"criterionValue": "33 rue de la force"
},
{
"criterionCode": "receiver_address_zipCode",
"criterionValue": "3417012"
},
{
"criterionCode": "receiver_address_town",
"criterionValue": "Far far away"
},
{
"criterionCode": "receiver_address_countryCode",
"criterionValue": "260"
}
]
},
{
"criteriaGroupCode" : "sheet_Group",
"criteriaGroupIndex" : "0",
"criterion" : [
{
"criterionCode": "sheet_formatCode",
"criterionValue": "L12A"
},
{
"criterionCode": "sheet_SDFlag",
"criterionValue": "1"
},
{
"criterionCode": "sheet_contractFlag",
"criterionValue": "1"
}
]
}
],
"service": []
}
]
}
]
}

Answer 1

So answer I've found was :
try {
return doc['offer.product.productCode'].size();
} catch(Exception e){
return '';
}