How does MongoDB index arrays? - indexing

In MongoDB, if I were to store an array (say ["red", "blue"]) in a field "color", does it index "red" and "blue" so I could query for "red", for example, or does in make {"red", "blue"} a composite index?

When it comes to indexing arrays, MongoDB indexes each value of the array so you can query for individual items, such as "red." For example:
> db.col1.save({'colors': ['red','blue']})
> db.col1.ensureIndex({'colors':1})
> db.col1.find({'colors': 'red'})
{ "_id" : ObjectId("4ccc78f97cf9bdc2a2e54ee9"), "colors" : [ "red", "blue" ] }
> db.col1.find({'colors': 'blue'})
{ "_id" : ObjectId("4ccc78f97cf9bdc2a2e54ee9"), "colors" : [ "red", "blue" ] }
For more information, check out MongoDB's documentation on Multikeys: http://www.mongodb.org/display/DOCS/Multikeys

You can simply test index usage by appending "explain" to your query:
> db.col1.save({'colors': ['red','blue']})
# without index
> db.col1.find({'colors': 'red'}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "protrain.col1",
"indexFilterSet" : false,
"parsedQuery" : {
"colors" : {
"$eq" : "red"
}
},
"winningPlan" : {
"stage" : "COLLSCAN", <--- simple column scan
"filter" : {
"colors" : {
"$eq" : "red"
}
},
"direction" : "forward"
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "bee34f15fe28",
"port" : 27017,
"version" : "3.4.4",
"gitVersion" : "888390515874a9debd1b6c5d36559ca86b44babd"
},
"ok" : 1
}
# query with index
> db.col1.createIndex( { "colors":1 } )
> db.col1.find({'colors': 'red'}).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "protrain.col1",
"indexFilterSet" : false,
"parsedQuery" : {
"colors" : {
"$eq" : "red"
}
},
"winningPlan" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN", <!---- INDEX HAS BEEN USED
"keyPattern" : {
"colors" : 1
},
"indexName" : "colors_1",
"isMultiKey" : true,
"multiKeyPaths" : {
"colors" : [
"colors"
]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"colors" : [
"[\"red\", \"red\"]"
]
}
}
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "bee34f15fe28",
"port" : 27017,
"version" : "3.4.4",
"gitVersion" : "888390515874a9debd1b6c5d36559ca86b44babd"
},
"ok" : 1
}
For structures where you have structured indexes, you could use the array position to index fields inside arrays:
{
'_id': 'BB167E2D61909E848EBC96C7B33251AC',
'hist': {
'map': {
'10': 1
}
},
'wayPoints': [{
'bhf_name': 'Zinsgutstr.(Berlin)',
'ext_no': 900180542,
'lat': 52.435158,
'lon': 13.559086,
'puic': 86,
'time': {
'dateTime': '2018-01-10T09: 38: 00',
'offset': {
'totalSeconds': 3600
}
},
'train_name': 'Bus162'
},
{
'bhf_name': 'SAdlershof(Berlin)',
'ext_no': 900193002,
'lat': 52.435104,
'lon': 13.54055,
'puic': 86,
'time': {
'dateTime': '2018-01-10T09: 44: 00',
'offset': {
'totalSeconds': 3600
}
},
'train_name': 'Bus162'
}]
}
db.col.createIndex( { "wayPoints.0.ext_no":1 } )
db.col.createIndex( { "wayPoints.0.train_name":1 } )
db.col.createIndex( { "wayPoints.1.ext_no":1 } )
db.col.createIndex( { "wayPoints.1.train_name":1 } )
> db.col.find(
... {
... "wayPoints.ext_no": 900180542
... }
... ,
... {
... "wayPoints.ext_no":1,
... "wayPoints.train_name":1,
... "wayPoints.time":1
... }
... ).explain()
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "db.col",
"indexFilterSet" : false,
"parsedQuery" : {
"wayPoints.ext_no" : {
"$eq" : 900180542
}
},
"winningPlan" : {
"stage" : "PROJECTION",
"transformBy" : {
"wayPoints.ext_no" : 1,
"wayPoints.train_name" : 1,
"wayPoints.time" : 1
},
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"wayPoints.ext_no" : 1
},
"indexName" : "wayPoints.ext_no_1",
"isMultiKey" : true,
"multiKeyPaths" : {
"wayPoints.ext_no" : [
"wayPoints"
]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"wayPoints.ext_no" : [
"[900180542.0, 900180542.0]"
]
}
}
}
},
"rejectedPlans" : [ ]
},
"serverInfo" : {
"host" : "bee34f15fe28",
"port" : 27017,
"version" : "3.4.4",
"gitVersion" : "888390515874a9debd1b6c5d36559ca86b44babd"
},
"ok" : 1
}

Related

How do i change MongoDB JSON data to array

I need to update the MongoDB field with the array of objects where JSON object to be updated with as an array
if I have something like this in MongoDB
"designSectionContents" : [
{
"_id" : "5bae17ecbd7595540145ec98",
"type" : "subSection",
"columns" : [
{
"0" : {
"itemId" : "5b7465980783d9a37058f160",
"type" : "field"
}
},
{
"0" : {
"itemId" : "5b7465630783d9a37058f15c",
"type" : "field"
}
},
{
"0" : {
"itemId" : "5b7465810783d9a37058f15e",
"type" : "field"
}
}
],
"subSectionContentLayout" : {
"labelPlacement" : "Top",
"columns" : 3
}
}
]
I want to change the above snippet to below in MongoDB
"designSectionContents" : [
{
"_id" : ObjectId("5bae17ecbd7595540145ec98"),
"type" : "subSection",
"columns" : [
[
{
"itemId" : "5b7465980783d9a37058f160",
"type" : "field"
}
],
[
{
"itemId" : "5b7465630783d9a37058f15c",
"type" : "field"
}
],
[
{
"itemId" : "5b7465810783d9a37058f15e",
"type" : "field"
}
]
]
}
]
curly braces opening and closing tag has to be changed to array
This should work:
db.collection.aggregate([
{
"$project": {
"designSectionContents": {
"$map": {
"input": "$designSectionContents",
"as": "designSectionContent",
"in": {
"_id": "$$designSectionContent._id",
"type": "$$designSectionContent.type",
"columns": {
"$map": {
"input": "$$designSectionContent.columns",
"as": "inp",
"in": [
"$$inp.0"
]
}
}
}
}
}
}
}
]);
Here's the working link.

How to guarantee air price quote after PNR creation on Sabre API?

I'm trying to create a PNR with "Time to think/Fare lock" option offered by airlines like AF, KLM, LH and more. The idea is to create the PNR to temporarily "block" the price until the time limit is reached (48~72hs) but I don't know how.
I'm able to create the PNR, with CreatePassengerNameRecord, without problems and it returns the retained PriceQuote but the fare is not guaranteed until ticketed and the system will re-price the itinerary with the current fare before ticketing.
Request/response example
CreatePassengerNameRecordRQ
"CreatePassengerNameRecordRQ" : {
"version" : "2.2.0",
"haltOnAirPriceError" : true,
"TravelItineraryAddInfo" : {
"AgencyInfo" : {
"Address" : {
"AddressLine" : "TEST",
"CityName" : "TEST",
"CountryCode" : "FR",
"PostalCode" : "99999",
"StreetNmbr" : "TEST 123"
},
"Ticketing" : {
"PseudoCityCode" : "L4GJ",
"TicketType" : "7TAW"
}
},
"CustomerInfo" : {
"ContactNumbers" : {
"ContactNumber" : [
{
"Phone" : "99999999",
"PhoneUseType" : "A"
}
]
},
"CustLoyalty" : [],
"Email" : [
{
"Address" : "test#gmail.com"
},
{
"Address" : "testRes#gmail.com"
}
],
"PersonName" : [
{
"NameNumber" : "1.1",
"PassengerType" : "ADT",
"GivenName" : "TEST",
"Surname" : "TEST"
}
]
}
},
"AirBook" : {
"HaltOnStatus" : [
{
"Code" : "HL"
},
{
"Code" : "KK"
},
{
"Code" : "LL"
},
{
"Code" : "NN"
},
{
"Code" : "NO"
},
{
"Code" : "UC"
},
{
"Code" : "US"
}
],
"OriginDestinationInformation" : {
"FlightSegment" : [
{
"DepartureDateTime" : "2021-02-17T13:15:00",
"ArrivalDateTime" : "2021-02-17T13:45:00",
"FlightNumber" : "1780",
"NumberInParty" : "1",
"ResBookDesigCode" : "G",
"Status" : "NN",
"DestinationLocation" : {
"LocationCode" : "LHR"
},
"MarketingAirline" : {
"Code" : "AF",
"FlightNumber" : "1780"
},
"OriginLocation" : {
"LocationCode" : "CDG"
}
},
{
"DepartureDateTime" : "2021-02-26T11:30:00",
"ArrivalDateTime" : "2021-02-26T13:50:00",
"FlightNumber" : "1581",
"NumberInParty" : "1",
"ResBookDesigCode" : "X",
"Status" : "NN",
"DestinationLocation" : {
"LocationCode" : "CDG"
},
"MarketingAirline" : {
"Code" : "AF",
"FlightNumber" : "1581"
},
"OriginLocation" : {
"LocationCode" : "LHR"
}
}
]
}
},
"AirPrice" : [
{
"PriceComparison" : {
"AcceptablePriceDecrease" : {
"Amount" : 125.3,
"HaltOnNonAcceptablePrice" : true
},
"AcceptablePriceIncrease" : {
"Amount" : 5,
"HaltOnNonAcceptablePrice" : true
},
"AmountSpecified" : 125.3
},
"PriceRequestInformation" : {
"Retain" : true,
"OptionalQualifiers" : {
"MiscQualifiers" : {
"BaggageAllowance" : []
},
"FOP_Qualifiers" : {
"BasicFOP" : {
"Type" : "CK"
}
},
"PricingQualifiers" : {
"ItineraryOptions" : {
"SegmentSelect" : [
{
"Number" : "1",
"RPH" : "1"
},
{
"Number" : "2",
"RPH" : "2"
}
]
},
"PassengerType" : [
{
"Quantity" : "1",
"Code" : "ADT"
}
],
"SpecificFare" : [
{
"FareBasis" : "GS50OALG",
"RPH" : "1"
},
{
"FareBasis" : "XS50OALG",
"RPH" : "2"
}
]
}
}
}
}
],
"SpecialReqDetails" : {
"SpecialService" : {
"SpecialServiceInfo" : {
"AdvancePassenger" : [],
"SecureFlight" : [
{
"PersonName" : {
"NameNumber" : "1.1",
"DateOfBirth" : "1991-01-13",
"Gender" : "M",
"GivenName" : "TEST",
"Surname" : "TEST"
}
}
],
"Service" : [
{
"SSR_Code" : "CTCM",
"PersonName" : {
"NameNumber" : "1.1"
},
"Text" : "0033142890939"
},
{
"SSR_Code" : "CTCE",
"PersonName" : {
"NameNumber" : "1.1"
},
"Text" : "TEST"
}
]
}
}
},
"PostProcessing" : {
"RedisplayReservation" : {
"waitInterval" : 1000
},
"EndTransaction" : {
"Email" : {
"eTicket" : {
"PDF" : {
"Ind" : false
},
"Ind" : false
},
"Ind" : true
},
"Source" : {
"ReceivedFrom" : "TEST"
}
}
}
}
}
CreatePassengerNameRecordRS (partial)
"CreatePassengerNameRecordRS" : {
"ApplicationResults" : {
"status" : "Complete",
"Success" : [
{
"timeStamp" : "2020-11-19T06:29:15.342-06:00"
}
],
"Warning" : [
{
"type" : "BusinessLogic",
"timeStamp" : "2020-11-19T06:29:14.016-06:00",
"SystemSpecificResults" : [
{
"Message" : [
{
"code" : "WARN.SWS.HOST.WARNING_RESPONSE",
"content" : "EndTransactionLLSRQ: TTY REQ PEND"
}
]
}
]
}
]
},
"ItineraryRef" : {
"ID" : "HOKJCQ"
},
"AirBook" : {
"OriginDestinationOption" : {
"FlightSegment" : [
{
"ArrivalDateTime" : "02-17T13:45",
"DepartureDateTime" : "02-17T13:15",
"eTicket" : true,
"FlightNumber" : "1780",
"NumberInParty" : "001",
"ResBookDesigCode" : "G",
"Status" : "NN",
"DestinationLocation" : {
"LocationCode" : "LHR"
},
"MarketingAirline" : {
"Code" : "AF",
"FlightNumber" : "1780"
},
"OriginLocation" : {
"LocationCode" : "CDG"
}
},
{
"ArrivalDateTime" : "02-26T13:50",
"DepartureDateTime" : "02-26T11:30",
"eTicket" : true,
"FlightNumber" : "1581",
"NumberInParty" : "001",
"ResBookDesigCode" : "X",
"Status" : "NN",
"DestinationLocation" : {
"LocationCode" : "CDG"
},
"MarketingAirline" : {
"Code" : "AF",
"FlightNumber" : "1581"
},
"OriginLocation" : {
"LocationCode" : "LHR"
}
}
]
}
},
"AirPrice" : [
{
"PriceComparison" : {
"AmountReturned" : "125.30",
"AmountSpecified" : "125.3"
},
"PriceQuote" : {
"MiscInformation" : {
"BaggageInfo" : {
"SubCodeProperties" : [
{
"SolutionSequenceNmbr" : 1,
"RPH" : 1,
"AncillaryFeeGroupCode" : "BG",
"CommercialNameofBaggageItemType" : "FREE BAGGAGE ALLOWANCE",
"EMD_Type" : "4",
"ExtendedSubCodeKey" : "0DFAAAF"
},
{
"SolutionSequenceNmbr" : 1,
"RPH" : 2,
"AncillaryFeeGroupCode" : "BG",
"CommercialNameofBaggageItemType" : "UPTO50LB 23KG AND62LI 158LCM",
"DescriptionOne" : {
"Code" : "23",
"Text" : "UP TO 50 POUNDS/23 KILOGRAMS"
},
"DescriptionTwo" : {
"Code" : "6U",
"Text" : "UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS"
},
"EMD_Type" : "4",
"ExtendedSubCodeKey" : "0GOACAF",
"SizeWeightInfo" : {
"MaximumSizeInAlternate" : {
"Units" : "C",
"content" : "158"
},
"MaximumSize" : {
"Units" : "I",
"content" : "62"
},
"MaximumWeightInAlternate" : {
"Units" : "K",
"content" : "23"
},
"MaximumWeight" : {
"Units" : "L",
"content" : "50"
}
}
},
{
"SolutionSequenceNmbr" : 1,
"RPH" : 3,
"AncillaryFeeGroupCode" : "BG",
"AncillaryService" : {
"SubGroupCode" : "CY",
"Text" : "CARRY ON HAND BAGGAGE"
},
"CommercialNameofBaggageItemType" : "CARRYON HAND BAGGAGE ALLOWANCE",
"EMD_Type" : "4",
"ExtendedSubCodeKey" : "0LNABAF"
},
{
"SolutionSequenceNmbr" : 1,
"RPH" : 4,
"AncillaryFeeGroupCode" : "BG",
"AncillaryService" : {
"SubGroupCode" : "CY",
"Text" : "CARRY ON HAND BAGGAGE"
},
"BookingMethod" : "04",
"CommercialNameofBaggageItemType" : "CABIN BAGGAGE 12KG 1PC 115CM",
"DescriptionOne" : {
"Code" : "12",
"Text" : "UP TO 26 POUNDS/12 KILOGRAMS"
},
"DescriptionTwo" : {
"Code" : "4U",
"Text" : "UP TO 45 LINEAR INCHES/115 LINEAR CENTIMETERS"
},
"EMD_Type" : "4",
"ExtendedSubCodeKey" : "0MRACAF",
"SizeWeightInfo" : {
"MaximumSizeInAlternate" : {
"Units" : "C",
"content" : "115"
},
"MaximumSize" : {
"Units" : "I",
"content" : "45"
},
"MaximumWeightInAlternate" : {
"Units" : "K",
"content" : "12"
},
"MaximumWeight" : {
"Units" : "L",
"content" : "26"
}
}
}
]
},
"HeaderInformation" : [
{
"SolutionSequenceNmbr" : "1",
"DepartureDate" : "2021-02-17",
"Text" : [
"VALIDATING CARRIER - AF",
"CAT 15 SALES RESTRICTIONS FREE TEXT FOUND - VERIFY RULES",
"BAG ALLOWANCE -CDGLHR-NIL/AF",
"1STCHECKED BAG FEE-CDGLHR-EUR45.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"2NDCHECKED BAG FEE-CDGLHR-EUR70.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"BAG ALLOWANCE -LHRCDG-NIL/AF",
"1STCHECKED BAG FEE-LHRCDG-EUR45.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"2NDCHECKED BAG FEE-LHRCDG-EUR70.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"CARRY ON ALLOWANCE",
"CDGLHR LHRCDG-01P/AF",
"01/UP TO 26 POUNDS/12 KILOGRAMS AND UP TO 45 LINEAR INCHES/115",
"LINEAR CENTIMETERS",
"CARRY ON CHARGES",
"CDGLHR LHRCDG-AF-CARRY ON FEES UNKNOWN-CONTACT CARRIER",
"ADDITIONAL ALLOWANCES AND/OR DISCOUNTS MAY APPLY DEPENDING ON",
"FLYER-SPECIFIC FACTORS /E.G. FREQUENT FLYER STATUS/MILITARY/",
"CREDIT CARD FORM OF PAYMENT/EARLY PURCHASE OVER INTERNET,ETC./"
],
"ValidatingCarrier" : {
"Code" : "AF"
}
}
],
"SolutionInformation" : [
{
"SolutionSequenceNmbr" : "1",
"BaseFareCurrencyCode" : "EUR",
"CurrencyCode" : "EUR",
"GrandTotalEquivFareAmount" : "34.00",
"GrandTotalTaxes" : "91.30",
"RequiresRebook" : "false",
"TicketNumber" : "0",
"TotalAmount" : "125.30"
}
],
"ValidatingCarrier" : [
{
"NewValidatingProcess" : true,
"SolutionSequenceNmbr" : "1",
"SettlementMethod" : "BSP",
"Ticket" : [
{
"Type" : "ETKTREQ",
"CarrierCode" : "AF",
"ValidatingCarrierType" : "Default"
}
]
}
]
},
"PricedItinerary" : {
"AlternativePricing" : "false",
"CurrencyCode" : "EUR",
"MultiTicket" : false,
"TotalAmount" : "125.30",
"AirItineraryPricingInfo" : [
{
"SolutionSequenceNmbr" : "1",
"BaggageProvisions" : [
...
],
"FareCalculation" : {
"Text" : "PAR AF LON17.62AF PAR22.33NUC39.95END ROE0.85086"
},
"FareCalculationBreakdown" : [
{
"Branch" : {
"PCC" : "N1GJ",
"FirstJointCarrier" : "AF"
},
"Departure" : {
"CityCode" : "PAR",
"AirportCode" : "CDG",
"AirlineCode" : "AF",
"GenericInd" : "O",
"ArrivalCityCode" : "LON",
"ArrivalAirportCode" : "LHR"
},
"FareBasis" : {
"Code" : "GS50OALG",
"FareAmount" : "17.62",
"FarePassengerType" : "ADT",
"FareType" : "P",
"FilingCarrier" : "AF",
"GlobalInd" : "EH",
"TripTypeInd" : "R",
"Market" : "PARLON",
"Cabin" : "Y"
},
"FreeBaggageAllowance" : "NONIL",
"RuleCategoryIndicator" : [
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"15",
"16"
]
},
{
"Branch" : {
"PCC" : "N1GJ",
"FirstJointCarrier" : "AF"
},
"Departure" : {
"CityCode" : "LON",
"AirportCode" : "LHR",
"AirlineCode" : "AF",
"GenericInd" : "O",
"ArrivalCityCode" : "PAR",
"ArrivalAirportCode" : "CDG"
},
"FareBasis" : {
"Code" : "XS50OALG",
"FareAmount" : "22.33",
"FarePassengerType" : "ADT",
"FareType" : "P",
"FilingCarrier" : "AF",
"GlobalInd" : "EH",
"TripTypeInd" : "R",
"Market" : "PARLON",
"Cabin" : "Y"
},
"FreeBaggageAllowance" : "NONIL",
"RuleCategoryIndicator" : [
"4",
"5",
"6",
"7",
"8",
"9",
"10",
"15",
"16"
]
}
],
"ItinTotalFare" : {
"NonRefundableInd" : "N",
"BaggageInfo" : {
"NonUS_DOT_Disclosure" : {
"Text" : [
"BAG ALLOWANCE -CDGLHR-NIL/AF",
"1STCHECKED BAG FEE-CDGLHR-EUR45.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"2NDCHECKED BAG FEE-CDGLHR-EUR70.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"BAG ALLOWANCE -LHRCDG-NIL/AF",
"1STCHECKED BAG FEE-LHRCDG-EUR45.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"2NDCHECKED BAG FEE-LHRCDG-EUR70.00/AF/UP TO 50 POUNDS/23 KILOGR",
"AMS AND UP TO 62 LINEAR INCHES/158 LINEAR CENTIMETERS",
"CARRY ON ALLOWANCE",
"CDGLHR LHRCDG-01P/AF",
"01/UP TO 26 POUNDS/12 KILOGRAMS AND UP TO 45 LINEAR INCHES/115",
"LINEAR CENTIMETERS",
"CARRY ON CHARGES",
"CDGLHR LHRCDG-AF-CARRY ON FEES UNKNOWN-CONTACT CARRIER",
"ADDITIONAL ALLOWANCES AND/OR DISCOUNTS MAY APPLY DEPENDING ON",
"FLYER-SPECIFIC FACTORS /E.G. FREQUENT FLYER STATUS/MILITARY/",
"CREDIT CARD FORM OF PAYMENT/EARLY PURCHASE OVER INTERNET,ETC./"
]
}
},
"BaseFare" : {
"Amount" : "34.00",
"CurrencyCode" : "EUR"
},
"Construction" : {
"Amount" : "39.95",
"CurrencyCode" : "NUC",
"RateOfExchange" : "0.850860"
},
"Taxes" : {
"TotalAmount" : "91.30",
"Tax" : [
{
"Amount" : "26.00",
"TaxCode" : "YQI",
"TaxName" : "SERVICE FEE - CARRIER-IMPOSED",
"TicketingTaxCode" : "YQ"
},
{
"Amount" : "16.33",
"TaxCode" : "FR",
"TaxName" : "CIVIL AVIATION TAX DOMESTIC AN",
"TicketingTaxCode" : "FR"
},
{
"Amount" : "13.09",
"TaxCode" : "QX",
"TaxName" : "PASSENGER SERVICE CHARGE INTER",
"TicketingTaxCode" : "QX"
},
{
"Amount" : "1.13",
"TaxCode" : "IZ",
"TaxName" : "AIR PASSENGER SOLIDARITY TAX",
"TicketingTaxCode" : "IZ"
},
{
"Amount" : "14.51",
"TaxCode" : "GB",
"TaxName" : "AIR PASSENGER DUTY APD",
"TicketingTaxCode" : "GB"
},
{
"Amount" : "18.74",
"TaxCode" : "UB",
"TaxName" : "PASSENGER SERVICE CHARGE DEPAR",
"TicketingTaxCode" : "UB"
},
{
"Amount" : "1.50",
"TaxCode" : "O4",
"TaxName" : "AIR PASSENGER SOLIDARITY TAX S",
"TicketingTaxCode" : "O4"
}
]
},
"TotalFare" : {
"Amount" : "125.30",
"CurrencyCode" : "EUR"
}
},
"PassengerTypeQuantity" : {
"Code" : "ADT",
"Quantity" : "1"
},
"PTC_FareBreakdown" : [
{
"Cabin" : "Y",
"FareBasis" : {
"Code" : "GS50OALG",
"FareAmount" : "17.62",
"FarePassengerType" : "ADT",
"FareType" : "P",
"FilingCarrier" : "AF",
"GlobalInd" : "EH",
"Market" : "PARLON"
},
"FreeBaggageAllowance" : "NONIL"
},
{
"Cabin" : "Y",
"FareBasis" : {
"Code" : "XS50OALG",
"FareAmount" : "22.33",
"FarePassengerType" : "ADT",
"FareType" : "P",
"FilingCarrier" : "AF",
"GlobalInd" : "EH",
"Market" : "PARLON"
},
"FreeBaggageAllowance" : "NONIL"
}
]
}
]
}
}
}
],
"TravelItineraryRead" : {
"TravelItinerary" : {
"CustomerInfo" : {
...
},
"ItineraryInfo" : {
"ItineraryPricing" : {
"PriceQuote" : [
{
"RPH" : "1",
"MiscInformation" : {
"SignatureLine" : [
{
"ExpirationDateTime" : "00:00",
"Source" : "SYS",
"Status" : "ACTIVE",
"Text" : "N1GJ N1GJ*AWS 1329/19NOV20"
}
]
},
"PricedItinerary" : [
{
"DisplayOnly" : false,
"InputMessage" : "WPFCK¥S1*ZZGS50OALG¥S2*ZZXS50OALG¥P1ADT¥RQ",
"RPH" : "1",
"StatusCode" : "A",
"TaxExempt" : false,
"ValidatingCarrier" : "AF",
"StoredDateTime" : "2020-11-19T13:29",
"AirItineraryPricingInfo" : {
"ItinTotalFare" : [
{
"BaseFare" : {
"Amount" : "34.00",
"CurrencyCode" : "EUR"
},
"Taxes" : {
"Tax" : {
"Amount" : "91.30",
"TaxCode" : "XT"
},
"TaxBreakdownCode" : [
{
"TaxPaid" : false,
"content" : "26.00YQ"
},
{
"TaxPaid" : false,
"content" : "16.33FR"
},
{
"TaxPaid" : false,
"content" : "13.09QX"
},
{
"TaxPaid" : false,
"content" : "1.13IZ"
},
{
"TaxPaid" : false,
"content" : "14.51GB"
},
{
"TaxPaid" : false,
"content" : "18.74UB"
},
{
"TaxPaid" : false,
"content" : "1.50O4"
}
]
},
"TotalFare" : {
"Amount" : "125.30",
"CurrencyCode" : "EUR"
},
"Totals" : {
"BaseFare" : {
"Amount" : "34.00"
},
"Taxes" : {
"Tax" : {
"Amount" : "91.30"
}
},
"TotalFare" : {
"Amount" : "125.30"
}
}
}
],
"PassengerTypeQuantity" : [
{
"Code" : "ADT",
"Quantity" : "01"
}
],
"PTC_FareBreakdown" : [
{
"Endorsements" : {
"Endorsement" : [
{
"type" : "PRICING_PARAMETER",
"Text" : "WPFCK$S1*ZZGS50OALG$S2*ZZXS50OALG$P1ADT$RQ"
},
{
"type" : "WARNING",
"Text" : "VALIDATING CARRIER - AF"
},
{
"type" : "WARNING",
"Text" : "CAT 15 SALES RESTRICTIONS FREE TEXT FOUND - VERIFY RULES"
}
]
},
"FareBasis" : [
{
"Code" : "GS50OALG/XS50OALG"
}
],
"FareCalculation" : {
"Text" : [
"PAR AF LON17.62AF PAR22.33NUC39.95END ROE0.85086"
]
},
"FareSource" : "ATPC",
"FlightSegment" : [
{
"ConnectionInd" : "O",
"DepartureDateTime" : "02-17T13:15",
"FlightNumber" : "1780",
"ResBookDesigCode" : "G",
"SegmentNumber" : "1",
"Status" : "OK",
"BaggageAllowance" : {
"Number" : "NIL"
},
"FareBasis" : {
"Code" : "GS50OALG"
},
"MarketingAirline" : {
"Code" : "AF",
"FlightNumber" : "1780"
},
"OriginLocation" : {
"LocationCode" : "CDG"
},
"ValidityDates" : {
"NotValidAfter" : "2021-02-17",
"NotValidBefore" : "2021-02-17"
}
},
{
"ConnectionInd" : "O",
"DepartureDateTime" : "02-26T11:30",
"FlightNumber" : "1581",
"ResBookDesigCode" : "X",
"SegmentNumber" : "2",
"Status" : "OK",
"BaggageAllowance" : {
"Number" : "NIL"
},
"FareBasis" : {
"Code" : "XS50OALG"
},
"MarketingAirline" : {
"Code" : "AF",
"FlightNumber" : "1581"
},
"OriginLocation" : {
"LocationCode" : "LHR"
},
"ValidityDates" : {
"NotValidAfter" : "2021-02-26",
"NotValidBefore" : "2021-02-26"
}
},
{
"OriginLocation" : {
"LocationCode" : "CDG"
}
}
],
"FareComponent" : [
{
"FareBasisCode" : "GS50OALG",
"FareDirectionality" : "FROM",
"Amount" : "1762",
"TicketDesignator" : "",
"GoverningCarrier" : "AF",
"FareComponentNumber" : "1",
"Location" : {
"Origin" : "PAR",
"Destination" : "LON"
},
"Dates" : {
"DepartureDateTime" : "02-17T13:15",
"ArrivalDateTime" : "02-17T13:45"
},
"FlightSegmentNumbers" : {
"FlightSegmentNumber" : [
"1"
]
}
},
{
"FareBasisCode" : "XS50OALG",
"FareDirectionality" : "TO",
"Amount" : "2233",
"TicketDesignator" : "",
"GoverningCarrier" : "AF",
"FareComponentNumber" : "2",
"Location" : {
"Origin" : "LON",
"Destination" : "PAR"
},
"Dates" : {
"DepartureDateTime" : "02-26T11:30",
"ArrivalDateTime" : "02-26T13:50"
},
"FlightSegmentNumbers" : {
"FlightSegmentNumber" : [
"2"
]
}
}
]
}
]
}
}
],
"ResponseHeader" : {
"Text" : [
"FARE - PRICE RETAINED",
"FARE USED TO CALCULATE DISCOUNT",
"FARE NOT GUARANTEED UNTIL TICKETED"
]
},
"PriceQuotePlus" : {
"DomesticIntlInd" : "I",
"PricingStatus" : "S",
"VerifyFareCalc" : false,
"ItineraryChanged" : false,
"ManualFare" : false,
"NegotiatedFare" : false,
"SystemIndicator" : "S",
"NUCSuppresion" : false,
"SubjToGovtApproval" : false,
"IT_BT_Fare" : "BT",
"DisplayOnly" : false,
"DiscountAmount" : "0",
"PassengerInfo" : {
"PassengerType" : "ADT",
"PassengerData" : [
{
"NameNumber" : "01.01",
"content" : "TEST/TEST"
}
]
},
"TicketingInstructionsInfo" : {}
}
}
],
"PriceQuoteTotals" : {
"BaseFare" : {
"Amount" : "34.00"
},
"Taxes" : {
"Tax" : {
"Amount" : "91.30"
}
},
"TotalFare" : {
"Amount" : "125.30"
}
}
},
"Ticketing" : [
{
"RPH" : "01",
"TicketTimeLimit" : "TAWL4GJ19NOV009/"
}
]
},
"ItineraryRef" : {
...
},
"SpecialServiceInfo" : [
{
"RPH" : "001",
"Type" : "GFX",
"Id" : "14",
"Service" : {
"SSR_Code" : "SSR",
"SSR_Type" : "DOCS",
"Airline" : {
"Code" : "AF"
},
"PersonName" : [
{
"NameNumber" : "01.01",
"content" : "TEST/TEST"
}
],
"Text" : [
"HK1/DB/13JAN1991/M/TEST/TEST"
]
}
},
{
"RPH" : "002",
"Type" : "GFX",
"Id" : "15",
"Service" : {
"SSR_Code" : "SSR",
"SSR_Type" : "CTCM",
"Airline" : {
"Code" : "AF"
},
"PersonName" : [
{
"NameNumber" : "01.01",
"content" : "TEST/TEST"
}
],
"Text" : [
"HK1/0033142890939"
]
}
},
{
"RPH" : "003",
"Type" : "GFX",
"Id" : "16",
"Service" : {
"SSR_Code" : "SSR",
"SSR_Type" : "CTCE",
"Airline" : {
"Code" : "AF"
},
"PersonName" : [
{
"NameNumber" : "01.01",
"content" : "TEST/TEST"
}
],
"Text" : [
"TEST"
]
}
}
]
}
}
}
Do I need to specify something in CreatePassengerNameRecordRQ to freeze the fare quote ?
Is there any other action needed to access this special option offered by some airlines ?
Thank you !

How to deploy Column View artifact on CloudFoundry

I have a Column View in SAP HANA SQL that is used in a sql procedure
CREATE COLUMN VIEW "ABC_COLUMN_VIEW" TYPE hierarchy WITH PARAMETERS (
'hierarchyDefinition'='{
"MULTIPARENT":true,
"NODETYPE":"STRING",
"NODETYPE_INFERRED":"STRING",
"RUNTIMEOBJECTTYPE":"tree",
"SOURCEQUERY":"SELECT "A_COLUMN", "B_COLUMN" FROM "ABC_TABLE"",
"SOURCEQUERYSCHEMA":"ABC_SCHEMA",
"SOURCETYPE":"RECURSIVE"}')
and im trying to deploy it on cf but now i see that the .hdiconfig file doesnt have anything about column views
{
"plugin_version" : "2.0.0.0",
"file_suffixes" : {
"hdbsynonym" : {
"plugin_name" : "com.sap.hana.di.synonym"
},
"hdbsynonymconfig" : {
"plugin_name" : "com.sap.hana.di.synonym.config"
},
"hdbtable" : {
"plugin_name" : "com.sap.hana.di.table"
},
"hdbdropcreatetable" : {
"plugin_name" : "com.sap.hana.di.dropcreatetable"
},
"hdbvirtualtable" : {
"plugin_name" : "com.sap.hana.di.virtualtable"
},
"hdbvirtualtableconfig" : {
"plugin_name" : "com.sap.hana.di.virtualtable.config"
},
"hdbindex" : {
"plugin_name" : "com.sap.hana.di.index"
},
"hdbfulltextindex" : {
"plugin_name" : "com.sap.hana.di.fulltextindex"
},
"hdbconstraint" : {
"plugin_name" : "com.sap.hana.di.constraint"
},
"hdbtrigger" : {
"plugin_name" : "com.sap.hana.di.trigger"
},
"hdbstatistics" : {
"plugin_name" : "com.sap.hana.di.statistics"
},
"hdbview" : {
"plugin_name" : "com.sap.hana.di.view"
},
"hdbcalculationview" : {
"plugin_name" : "com.sap.hana.di.calculationview"
},
"hdbprojectionview" : {
"plugin_name" : "com.sap.hana.di.projectionview"
},
"hdbprojectionviewconfig" : {
"plugin_name" : "com.sap.hana.di.projectionview.config"
},
"hdbresultcache" : {
"plugin_name" : "com.sap.hana.di.resultcache"
},
"hdbcds" : {
"plugin_name" : "com.sap.hana.di.cds"
},
"hdbfunction" : {
"plugin_name" : "com.sap.hana.di.function"
},
"hdbvirtualfunction" : {
"plugin_name" : "com.sap.hana.di.virtualfunction"
},
"hdbvirtualfunctionconfig" : {
"plugin_name" : "com.sap.hana.di.virtualfunction.config"
},
"hdbhadoopmrjob" : {
"plugin_name" : "com.sap.hana.di.virtualfunctionpackage.hadoop"
},
"jar" : {
"plugin_name" : "com.sap.hana.di.virtualfunctionpackage.hadoop"
},
"hdbtabletype" : {
"plugin_name" : "com.sap.hana.di.tabletype"
},
"hdbprocedure" : {
"plugin_name" : "com.sap.hana.di.procedure"
},
"hdbvirtualprocedure" : {
"plugin_name" : "com.sap.hana.di.virtualprocedure"
},
"hdbvirtualprocedureconfig" : {
"plugin_name" : "com.sap.hana.di.virtualprocedure.config"
},
"hdbafllangprocedure" : {
"plugin_name" : "com.sap.hana.di.afllangprocedure"
},
"hdblibrary" : {
"plugin_name" : "com.sap.hana.di.library"
},
"hdbsequence" : {
"plugin_name" : "com.sap.hana.di.sequence"
},
"hdbrole" : {
"plugin_name" : "com.sap.hana.di.role"
},
"hdbroleconfig" : {
"plugin_name" : "com.sap.hana.di.role.config"
},
"hdbstructuredprivilege" : {
"plugin_name" : "com.sap.hana.di.structuredprivilege"
},
"hdbanalyticprivilege" : {
"plugin_name" : "com.sap.hana.di.analyticprivilege"
},
"hdbtabledata" : {
"plugin_name" : "com.sap.hana.di.tabledata"
},
"csv" : {
"plugin_name" : "com.sap.hana.di.tabledata.source"
},
"properties" : {
"plugin_name" : "com.sap.hana.di.tabledata.properties"
},
"tags" : {
"plugin_name" : "com.sap.hana.di.tabledata.properties"
},
"hdbgraphworkspace" : {
"plugin_name" : "com.sap.hana.di.graphworkspace"
},
"hdbflowgraph" : {
"plugin_name" : "com.sap.hana.di.flowgraph"
},
"hdbreptask" : {
"plugin_name" : "com.sap.hana.di.reptask"
},
"hdbsearchruleset" : {
"plugin_name" : "com.sap.hana.di.searchruleset"
},
"hdbtextconfig" : {
"plugin_name" : "com.sap.hana.di.textconfig"
},
"hdbtextdict" : {
"plugin_name" : "com.sap.hana.di.textdictionary"
},
"hdbtextrule" : {
"plugin_name" : "com.sap.hana.di.textrule"
},
"hdbtextinclude" : {
"plugin_name" : "com.sap.hana.di.textrule.include"
},
"hdbtextlexicon" : {
"plugin_name" : "com.sap.hana.di.textrule.lexicon"
},
"hdbtextminingconfig" : {
"plugin_name" : "com.sap.hana.di.textminingconfig"
},
"txt" : {
"plugin_name" : "com.sap.hana.di.copyonly"
}
}
}
So my problem is can i add a column view artifact somehow so i can push to cf or there is another way now to implement hierarchy?
You’re right, there isn’t a content type for column views because these are runtime objects.
The column view you posted looks like it belongs to a hierarchy view, which is a kind of column view. You can model hierarchy functions in HANA 2 WebIDE, so that’s what I’d recommend to try here.

mongodb query multiple pairs using $in

I have a collection names with data (_id is omitted):
{first:"John", last:"Smith"},
{first:"Alice", last:"Johnson"},
{first:"Bob", last:"Williams"},
...
and {first, last} is a unique index.
I want to find a lot of names in names like:
db.names.find({$or: [{first:"Alice", last:"Brown"}, {first:"Bob", last:"White"}, ...]}
Can I use $in instead of $or to simplify this query?
===
I know in MySQL this following query:
SELECT * FROM names WHERE (first = 'Alice' AND last = 'Brown') OR (first = 'Bob' AND last = 'White') OR ...
can be simplified as:
SELECT * FROM names WHERE (first, last) IN (('Alice', 'Brown'), ('Bob','White') OR ...)
But I am unable to find the equivalent query syntax in MongoDB.
The following query can get us the expected output:
db.names.find({
$expr:{
$in:[
{
"first":"$first",
"last":"$last"
},
[
{
"first" : "Alice",
"last" : "Johnson"
},
{
"first" : "Bob",
"last" : "Williams"
}
]
]
}
}).pretty()
Data set:
{
"_id" : ObjectId("5d81c3b7a832f81a9e02337b"),
"first" : "John",
"last" : "Smith"
}
{
"_id" : ObjectId("5d81c3b7a832f81a9e02337c"),
"first" : "Alice",
"last" : "Johnson"
}
{
"_id" : ObjectId("5d81c3b7a832f81a9e02337d"),
"first" : "Bob",
"last" : "Williams"
}
Output:
{
"_id" : ObjectId("5d81c3b7a832f81a9e02337c"),
"first" : "Alice",
"last" : "Johnson"
}
{
"_id" : ObjectId("5d81c3b7a832f81a9e02337d"),
"first" : "Bob",
"last" : "Williams"
}
Query Analysis: This query won't use the unique index you have created and I would recommend to go with the $or query.
Following are the winning plans:
$or query:
{
"stage" : "COLLSCAN",
"filter" : {
"$expr" : {
"$in" : [
{
"first" : "$first",
"last" : "$last"
},
{
"$const" : [
{
"first" : "Alice",
"last" : "Johnson"
},
{
"first" : "Bob",
"last" : "Williams"
}
]
}
]
}
},
"direction" : "forward"
}
$in query:
{
"stage" : "SUBPLAN",
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "OR",
"inputStages" : [
{
"stage" : "IXSCAN",
"keyPattern" : {
"first" : 1,
"last" : 1
},
"indexName" : "first_1_last_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"first" : [ ],
"last" : [ ]
},
"isUnique" : true,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"first" : [
"[\"Alice\", \"Alice\"]"
],
"last" : [
"[\"Brown\", \"Brown\"]"
]
}
},
{
"stage" : "IXSCAN",
"keyPattern" : {
"first" : 1,
"last" : 1
},
"indexName" : "first_1_last_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"first" : [ ],
"last" : [ ]
},
"isUnique" : true,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"first" : [
"[\"Bob\", \"Bob\"]"
],
"last" : [
"[\"White\", \"White\"]"
]
}
}
]
}
}
}
You can see that the index is properly utilized in $or query and not used in the $in query.
For this mysql query
SELECT * FROM names
WHERE (first = 'Alice' AND last = 'Brown')
OR (first = 'Bob' AND last = 'White')
OR ...
can be use in mongodb as
db.names.find({
$or: [
{ first: "Alice", last: "Brown" },
{ first: "Bob", last: "White" },
...
]})
For below mysql query
SELECT * FROM names
WHERE (first, last) IN (('Alice', 'Brown'), ('Bob','White') OR ...)
You can not create mongodb $in query
db.names.find({
$or: [
{ first: { $in: ["John", "Alice", "Bob"] } },
{ last: { $in: ["Smith", "Johnson", "Williams" ] } },
]})
Because it pass this result too
("John", "Johnson"),("John", "Williams"),("John", "Smith"),("John", "Williams")..
the best way is $or as ask in question
db.names.find({
$or: [
{ first: "Alice", last: "Brown" },
{ first: "Bob", last: "White" },
...
]})
May be better solution present out there. I will update my answer if find any. Thanks
Yes, it's possible to use $in to query MongoDb collections based on multiple values.
Try using the below syntax:
db.names.find.({ field: { $in: [<value1>, <value2>, ... <valueN> ] } })
for example in your case it looks like:
db.names.find({first: {$in: ["Alice","Brown","Bob", "White"]}})

MongoDB - How to make a query to get the average usage?

Here is how the documents in db look like.
/* 1 */
{
"_id" : 1,
"feat" : {
"processName": [
{
"value" : {
"value": "Process1"
}
}
],
"processUsage": [
{
"value" : {
"value": 23.21
}
}
]
}
}
/* 2 */
{
"_id" : 2,
"feat" : {
"processName": [
{
"value" : {
"value": "Process2"
}
}
],
"memoryUsage": [
{
"value" : {
"value": 2.411502e+05
}
}
]
}
}
/* 3 */
{
"_id" : 3,
"feat" : {
"processName": [
{
"value" : {
"value": "Process1"
}
}
],
"processUsage": [
{
"value" : {
"value": 67.42
}
}
]
}
}
/* 4 */
{
"_id" : 4,
"feat" : {
"processName": [
{
"value" : {
"value": "Process3"
}
}
],
"processUsage": [
{
"value" : {
"value": 39.97
}
}
]
}
}
/* 5 */
{
"_id" : 5,
"feat" : {
"processName": [
{
"value" : {
"value": "Process2"
}
}
],
"processUsage": [
{
"value" : {
"value": 21.05
}
}
]
}
}
Each process has entries with processUsage and memoryUsage. What I am interest in is the average processUsage. So, I'd like to ignore the entries with memoryUsage.
I tried $match + $group in an aggregate with $avg, but for each process I just got back as average 0.00000000.
Then I tried my luck with mapReduce using javascript, unfortunately it did not work out either.
Could someone just show me how to do that? By the way, I am using Robomongo 0.8.5
Edit:
The query looks like this:
db.database.aggregate([
{ $match : {"$feat.processUsage.value.value": {$gt : -1}
},
{
$group: {_id: "$feats.processName.value.value", average: {$avg:
"$feats.processUsage.value.value"}
}
])
You can use the following aggregate query:
db.test.aggregate(
[
{
$unwind : "$feat.processUsage"
},
{
$group: {
_id: "$feat.processName.value.value",
average: {$avg:"$feat.processUsage.value.value"}
}
}
]
)
Unwinding in the initial phase will let you filter documents that has processUsage key in document.
Result:
{ "_id" : [ "Process2" ], "average" : 21.05 }
{ "_id" : [ "Process3" ], "average" : 39.97 }
{ "_id" : [ "Process1" ], "average" : 45.315 }