I have a fairly simple cloudformation template. I am trying to learn about them. I created one where I am trying to create 2 dyanmo table when I deploy the stack. But only one table gets created. Not two. I am not sure what is wrong with my syntax. Pasting the json below
"AWSTemplateFormatVersion" : "2010-09-09",
"Resources" : {
"resource1" : {
"Type" : "AWS::DynamoDB::Table",
"Properties" : {
"AttributeDefinitions" : [
{
"AttributeName" : "Name",
"AttributeType" : "S"
},
{
"AttributeName" : "Age",
"AttributeType" : "S"
}
],
"KeySchema" : [
{
"AttributeName" : "Name",
"KeyType" : "HASH"
},
{
"AttributeName" : "Age",
"KeyType" : "RANGE"
}
],
"ProvisionedThroughput" : {
"ReadCapacityUnits" : "5",
"WriteCapacityUnits" : "5"
},
"TableName" : "tablecloudformation3_1"
}
}
},
"Resources" : {
"resource2" : {
"Type" : "AWS::DynamoDB::Table",
"Properties" : {
"AttributeDefinitions" : [
{
"AttributeName" : "Name",
"AttributeType" : "S"
},
{
"AttributeName" : "Age",
"AttributeType" : "S"
}
],
"KeySchema" : [
{
"AttributeName" : "Name",
"KeyType" : "HASH"
},
{
"AttributeName" : "Age",
"KeyType" : "RANGE"
}
],
"ProvisionedThroughput" : {
"ReadCapacityUnits" : "5",
"WriteCapacityUnits" : "5"
},
"TableName" : "tablecloudformation3_2"
}
}
},
}
There are few mistakes in the template. One already pointed out by #MariaInesParnisari.
The other ones are missing open bracket and unneeded brackets in the middle.
I fixed the template and can confirm it works:
{
"AWSTemplateFormatVersion" : "2010-09-09",
"Resources" : {
"resource1" : {
"Type" : "AWS::DynamoDB::Table",
"Properties" : {
"AttributeDefinitions" : [
{
"AttributeName" : "Name",
"AttributeType" : "S"
},
{
"AttributeName" : "Age",
"AttributeType" : "S"
}
],
"KeySchema" : [
{
"AttributeName" : "Name",
"KeyType" : "HASH"
},
{
"AttributeName" : "Age",
"KeyType" : "RANGE"
}
],
"ProvisionedThroughput" : {
"ReadCapacityUnits" : "5",
"WriteCapacityUnits" : "5"
},
"TableName" : "tablecloudformation3_1"
}
},
"resource2" : {
"Type" : "AWS::DynamoDB::Table",
"Properties" : {
"AttributeDefinitions" : [
{
"AttributeName" : "Name",
"AttributeType" : "S"
},
{
"AttributeName" : "Age",
"AttributeType" : "S"
}
],
"KeySchema" : [
{
"AttributeName" : "Name",
"KeyType" : "HASH"
},
{
"AttributeName" : "Age",
"KeyType" : "RANGE"
}
],
"ProvisionedThroughput" : {
"ReadCapacityUnits" : "5",
"WriteCapacityUnits" : "5"
},
"TableName" : "tablecloudformation3_2"
}
}
}
}
More generally, the CloudFormation Linter can help catch these template issues faster with errors like:
E0000 Duplicate found "Resources" (line 35)
Related
I have three objects. I am trying to fing the parents who haven't got a job. I am writing this code:
db.getCollection('students').find({
'parents.profession':{$exists: false}
})
I have no mistakes, but it is loking for me users who haven't got a parents. What am i doing wrong
My Objects:
{
"_id" : ObjectId("60c1bd314ed90f98fbbf9d5b"),
"name" : "Ivan",
"class" : 2.0,
"lessons" : [
"basic"
],
"avgScore" : 4.2,
"parents" : [
{
"gender" : "male",
"name" : "Ivan",
"profession" : "trainer"
},
{
"gender" : "female",
"name" : "Vika"
}
]
}
{
"_id" : ObjectId("60c1bd314ed90f98fbbf9d5d"),
"name" : "Kostya",
"class" : 2.0,
"lessons" : [
"basic"
],
"avgScore" : 4.24,
"parents" : [
{
"gender" : "male",
"name" : "Ivan",
"profession" : "blogger"
},
{
"gender" : "male",
"name" : "Andriy",
"profession" : "blogger"
}
]
}
Use $elemMatch:
db.collection.find({
"parents": {
"$elemMatch": {
profession: {
$exists: false
}
}
}
})
Here is the working example: https://mongoplayground.net/p/XT8JJdZ9L5H
I am having trouble with the $group stage in my aggregation. I want to group all the "recentPlays.quiz" values together and count the repeated values, so the end result I want from the aggregation is two fields: the quiz object and the total. In this case it would be something like:
{
"recentPlays" : [
{
"quiz" : {
"author" : "red-tester1",
"title" : "Asdffff Dfasdf"
},
"count": 1
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Creation Test 2"
},
"count": 1
},
{
"quiz" : {
"author" : "blue-tester1",
"title" : "Finky Fink"
},
"count": 4
}
]
}
Here is the aggregation I have so far:
db.users.aggregate([
{$match: { "recentPlays.date": {$gte:twentyFourHrsAgo}}},
{$project: {"recentPlays.quiz":1, _id:0}}
]).pretty();
Here is that aggregation's output:
MongoDB shell version: 3.2.1
connecting to: videoQuiz
{
"recentPlays" : [
{
"quiz" : {
"author" : "red-tester1",
"title" : "Asdffff Dfasdf"
}
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Creation Test 2"
}
},
{
"quiz" : {
"author" : "blue-tester1",
"title" : "Finky Fink"
}
},
{
"quiz" : {
"author" : "blue-tester1",
"title" : "Finky Fink"
}
},
{
"quiz" : {
"author" : "blue-tester1",
"title" : "Finky Fink"
}
},
{
"quiz" : {
"author" : "blue-tester1",
"title" : "Finky Fink"
}
}
]
}
Here is the entire collection:
MongoDB shell version: 3.2.1
connecting to: videoQuiz
{
"_id" : ObjectId("580f7be62c6fd3c8065577f5"),
"user" : "blue-tester1",
"email" : "aslfjjcc#lkcjasdc.com",
"createdAt" : ISODate("2016-10-25T15:36:06.933Z"),
"recentPlays" : [
{
"quiz" : {
"author" : "red-tester1",
"title" : "Asdffff Dfasdf"
},
"score" : "0",
"date" : ISODate("2016-10-25T15:36:27.546Z")
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Creation Test 2"
},
"score" : "100",
"date" : ISODate("2016-10-25T15:37:09.142Z")
}
],
"mostRecentQuiz" : {
"author" : "red-tester3",
"title" : "Creation Test 2"
},
"mostRecentQuizTime" : ISODate("2016-10-25T15:37:09.142Z"),
"plays" : 2
}
{
"_id" : ObjectId("580a5dea650296d808082e65"),
"user" : "red-tester3",
"email" : "aldkdk#ccc.com",
"createdAt" : ISODate("2016-10-21T18:26:50.870Z"),
"recentPlays" : [
{
"quiz" : {
"author" : "red-tester2",
"title" : "TOP PLAYED QUIZ - Today"
},
"score" : "0",
"date" : ISODate("2016-10-21T18:27:16.292Z")
},
{
"quiz" : {
"author" : "red-tester2",
"title" : "TOP LIKED QUIZ - TODAY"
},
"score" : "100",
"date" : ISODate("2016-10-21T18:27:32.788Z")
},
{
"quiz" : {
"author" : "red-tester2",
"title" : "TOP LIKED QUIZ - TODAY"
},
"score" : "100",
"date" : ISODate("2016-10-21T18:27:44.497Z")
},
{
"quiz" : {
"author" : "Bertram",
"title" : "frfrf"
},
"score" : "100",
"date" : ISODate("2016-10-21T18:28:43.893Z")
},
{
"quiz" : {
"author" : "Bertram",
"title" : "Here We Go With the New Thing"
},
"score" : "0",
"date" : ISODate("2016-10-21T18:43:51.205Z")
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Presidents of the United States"
},
"score" : "0",
"date" : ISODate("2016-10-23T00:53:29.167Z")
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Presidents of the United States"
},
"score" : "0",
"date" : ISODate("2016-10-23T00:53:44.815Z")
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Creation Test 1"
},
"score" : "100",
"date" : ISODate("2016-10-23T23:50:55.355Z")
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Creation Test 2"
},
"score" : "100",
"date" : ISODate("2016-10-23T23:52:33.210Z")
},
{
"quiz" : {
"author" : "red-tester3",
"title" : "Here Is a New Title"
},
"score" : "100",
"date" : ISODate("2016-10-23T23:58:53.683Z")
}
],
"mostRecentQuiz" : {
"author" : "red-tester3",
"title" : "Here Is a New Title"
},
"mostRecentQuizTime" : ISODate("2016-10-23T23:58:53.683Z"),
"plays" : 10,
"likedQuizzes" : [
{
"title" : "TOP LIKED QUIZ - TODAY",
"author" : "red-tester2",
"date" : ISODate("2016-10-21T18:27:34.893Z")
},
{
"title" : "frfrf",
"author" : "Bertram",
"date" : ISODate("2016-10-21T18:28:45.863Z")
},
{
"title" : "Here We Go With the New Thing",
"author" : "Bertram",
"date" : ISODate("2016-10-21T18:43:53.148Z")
}
],
"createdQuizzes" : [
{
"title" : "Yeah Here We Go",
"id" : ObjectId("580a63f274b9a89c061f973e")
},
{
"title" : "Z Alpha",
"id" : ObjectId("580a641474b9a89c061f973f")
},
{
"title" : "Tags Limit Test",
"id" : ObjectId("580a6bda8d8049ac0bc1df2e")
},
{
"title" : "Tags Limit test2",
"id" : ObjectId("580a6bf98d8049ac0bc1df2f")
},
{
"title" : "Presidents of the United States",
"id" : ObjectId("580c09d28d8049ac0bc1df30")
},
{
"title" : "Creation Test 1",
"id" : ObjectId("580d4cca8d8049ac0bc1df31")
},
{
"title" : "Creation Test 2",
"id" : ObjectId("580d4d2d8d8049ac0bc1df32")
},
{
"title" : "Here Is a New Title",
"id" : ObjectId("580d4ead8d8049ac0bc1df33")
}
]
}
Thanks in advance for any guidance. Please excuse the dummy text in these documents, it is for testing purposes only.
This will be a two step process. The first step is to $unwind the "recentPlays" array. The second step is to $group by "recentPlays.quiz".
For example:
db.users.aggregate([
{ "$match" : { "recentPlays.date": { "$gte" : twentyFourHrsAgo}}},
{ "$project" : {"recentPlays.quiz":1, _id:0}},
{ "$unwind" : "$recentPlays" },
{ "$group" : { "_id" : "$recentPlays.quiz", "total" : { "$sum" : 1 } } }
]).pretty();
I want to find all the values from a subdocument like this:
{ "_id" : ObjectId("XXXXXXXXXXXX"), "consumers" : { "AAAAAAAA" : { "CLIENT" : { "AA" : true } } }, "country" : "ES", "history" : [ ], "last_time_updated" : ISODate("2014-11-28T13:32:19.948Z"), "msisdn" : "123", "operator" : "ES", "time_created" : ISODate("2014-11-28T13:32:19.948Z") }
{ "_id" : ObjectId("XXXXXXXXXXXX"), "consumers" : { "AAAAAAAA" : { "CLIENT" : { "BB" : true } } }, "country" : "ES", "history" : [ ], "last_time_updated" : ISODate("2014-11-28T13:32:19.971Z"), "msisdn" : "123", "operator" : "ES", "time_created" : ISODate("2014-11-28T13:32:19.971Z") }
{ "_id" : ObjectId("XXXXXXXXXXXX"), "consumers" : { "AAAAAAAA" : { "CLIENT" : { "CC" : false } } }, "country" : "ES", "history" : [ ], "last_time_updated" : ISODate("2014-11-28T13:32:19.977Z"), "msisdn" : "123", "operator" : "ES", "time_created" : ISODate("2014-11-28T13:32:19.977Z") }
That include all the values from "CLIENT" that i don't know, i am triying with:
db.collection.find({"consumers" : { "AAAAAAAA" : { "CLIENT" : { $exists : true } } }})
But is not a valid query, please some help?
Thank you very much.
Dot notation can be used to match by fields in a sub document.
db.collection.find({"consumers.AAAAAAAA.CLIENT": {"$exists":true}})
JSON DO
{
"_id" : "t6Y596WHx44S",
"pos_txn_type" : "CREDIT_AUTHORIZATION",
"pos_payment_method" : "CREDIT_CARD",
"processing_status" : "APPROVED",
"route" : NumberInt(7),
"audit_info" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:26:57.000+0000"),
"updated_on" : ISODate("2016-08-08T07:26:57.000+0000")
},
"inflight_transactions" : [
{
"message_exchange" : {
"service_type" : "GATEWAY_SERVICE",
"adapter_id" : "adpIsoUms",
"route1" : NumberInt(7),
"request" : {
"type" : "com.renovite.ripps.kernel.msg.GatewayRequest",
"acquirer_inst_id" : "00000000001",
"host_address" : "127.0.0.1:2000",
"client_address" : "127.0.0.1:58577",
"domain_request" : {
"type" : "com.renovite.ripps.kernel.msg.CardRequestMessage",
"card" : {
"masked_pan" : "411111xxxxx1111",
"card_type" : "VISA"
},
"transactionAmount" : {
"amount" : NumberInt(100),
"amount_type" : "TXN_AMOUNT",
"currency" : "USD",
"currency_iso" : "840",
"currency_minor_unit" : NumberInt(2)
},
"additionalAmountMap" : {
},
"pos" : {
"stan" : "470641215751",
"entry_mode" : "SWIPED",
"pos_environment" : "ATTENDED",
"card_holder_verification_method" : "UNKNOWN",
"pos_card_holder_verification_method" : "MANUAL_SIGNATURE",
"terminal_capability" : "MSR_MANUAL",
"pos_terminal_id" : "0000000000000001",
"pos_transaction_time" : ISODate("2016-08-08T07:26:55.000+0000"),
"pos_transaction_date" : ISODate("2016-08-08T07:26:55.000+0000"),
"pos_function_code" : "100",
"cp" : true
},
"billTo" : {
"postal_code" : "94538"
}
},
"merchant_details" : {
"merchant_code" : "00000000001",
"merchant_category_code" : "5965",
"merchant_postal_code" : "4567",
"device_code" : "0000000000000001"
},
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:26:57.000+0000")
},
"additionalAttributes" : {
},
"raw_header" : "ISO.UMS.03",
"retrival_reference_number" : "000001215751"
},
"response" : {
"type" : "com.renovite.ripps.kernel.msg.GatewayResponse",
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:27:01.000+0000")
},
"additionalAttributes" : {
},
"domain_response" : {
"type" : "com.renovite.ripps.kernel.msg.CardResponseMessage",
"auth_code" : "831000",
"amount" : 9601.0,
"currency" : "USD",
"transaction_time" : ISODate("2016-08-08T01:57:00.000+0000"),
"processor_ref_number" : "4706412203976900504007",
"approval_code" : "0000",
"avs_response_code" : "2",
"reconciliation_id" : "4706412203976900504007",
"partial_auth" : false
}
}
}
},
{
"message_exchange" : {
"service_type" : "FRAUD_SERVICE",
"adapter_id" : "cartFRAUD",
"request" : {
"type" : "com.renovite.ripps.kernel.msg.ProviderRequest",
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:26:58.000+0000")
},
"additionalAttributes" : {
"MerchantTransactionIdentifier" : "t6Y596WHx44S"
},
"retrivalReferenceNumber" : "000001215751",
"merchantDetails" : {
"merchant_code" : "00000000001",
"merchant_category_code" : "5965",
"partial_auth" : "Y"
},
"domain_request" : {
"type" : "com.renovite.ripps.kernel.msg.fraud.FraudRequestMessage",
"client_address" : "127.0.0.1:58577"
}
},
"route" : "6",
"processing_status" : "APPROVED",
"response" : {
"type" : "com.renovite.ripps.kernel.msg.ProviderResponse",
"domain_response" : {
"type" : "com.renovite.ripps.kernel.msg.fraud.FraudResponseMessage",
"fraud_score" : NumberInt(22)
},
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:26:58.000+0000")
},
"additionalAttributes" : {
}
}
}
},
{
"message_exchange" : {
"service_type" : "AUTH_SERVICE",
"adapter_id" : "cartVACP",
"request" : {
"type" : "com.renovite.ripps.kernel.msg.ProviderRequest",
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:26:58.000+0000")
},
"additionalAttributes" : {
"COMMERCEINDICATOR" : "retail",
"MerchantTransactionIdentifier" : "t6Y596WHx44S",
"ThirdPartyCertificationNumber" : "575357012698"
},
"retrivalReferenceNumber" : "000001215751",
"merchantDetails" : {
"merchant_code" : "00000000004",
"merchant_category_code" : "5965",
"partial_auth" : "Y"
},
"domain_request" : {
"type" : "com.renovite.ripps.kernel.msg.CardRequestMessage",
"card" : {
"masked_pan" : "411111xxxxx1111",
"card_type" : "VISA"
},
"transactionAmount" : {
"amount" : 9601.0,
"amount_type" : "TXN_AMOUNT",
"currency" : "USD",
"currency_iso" : "840",
"currency_minor_unit" : NumberInt(2)
},
"additionalAmountMap" : {
},
"pos" : {
"entry_mode" : "SWIPED",
"pos_terminal_id" : "0000000087654321",
"cp" : true
},
"billTo" : {
"postal_code" : "94538"
}
},
"merchant_code" : "v5p234p575357"
},
"route" : "3",
"processing_status" : "APPROVED",
"response" : {
"type" : "com.renovite.ripps.kernel.msg.ProviderResponse",
"status" : "ACCEPT",
"domain_response" : {
"type" : "com.renovite.ripps.kernel.msg.CardResponseMessage",
"auth_code" : "831000",
"amount" : 9601.0,
"currency" : "USD",
"transaction_time" : ISODate("2016-08-08T01:57:00.000+0000"),
"processor_ref_number" : "4706412203976900504007",
"approval_code" : "100",
"avs_response_code" : "2",
"reconciliation_id" : "4706412203976900504007",
"partial_auth" : false
},
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:27:01.000+0000")
},
"additionalAttributes" : {
"PYMT_NETWORK_TXN_ID" : "016153570198200",
"RECEIPT_NUMBER" : "138115",
"REQUEST_TOKEN" : "Ahj/7wSR/kUuB8C84NOOelmjdg2aMWTJgzct2zlgwasGjBg3S36RRSYgFLfpFFJi0gp1MyMJsMmkmW6QHhMgQJyP8ilwPgXnBpxwvBkj",
"REASONCODE" : NumberInt(100),
"PROCESSORRESPONSE" : "00",
"CARDCATEGORY" : "A",
"MERCHANTREFERENCECODE" : "000001215751",
"CARDGROUP" : "0"
}
}
}
},
{
"message_exchange" : {
"service_type" : "LOYALTY_SERVICE",
"adapter_id" : "cartLOYALTY",
"request" : {
"type" : "com.renovite.ripps.kernel.msg.ProviderRequest",
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:27:01.000+0000")
},
"additionalAttributes" : {
"MerchantTransactionIdentifier" : "t6Y596WHx44S"
},
"retrivalReferenceNumber" : "000001215751",
"merchantDetails" : {
"merchant_code" : "00000000001",
"merchant_category_code" : "5965",
"partial_auth" : "Y"
},
"domain_request" : {
"type" : "com.renovite.ripps.kernel.msg.loyalty.LoyaltyRequestMessage",
"amount" : 9601.0,
"client_address" : "127.0.0.1:58577"
}
},
"route" : "7",
"processing_status" : "APPROVED",
"response" : {
"type" : "com.renovite.ripps.kernel.msg.ProviderResponse",
"domain_response" : {
"type" : "com.renovite.ripps.kernel.msg.loyalty.LoyaltyResponseMessage",
"loyaltyPoint" : NumberInt(677)
},
"auditInfo" : {
"version" : "1.0.0.0",
"created_on" : ISODate("2016-08-08T07:27:01.000+0000")
},
"additionalAttributes" : {
}
}
}
}
]
}
Below is the native mongo query -
db.txnlog.aggregate([
{
$group : {_id : "$pos_txn_type", count : {$sum : 1}, route_sum : {$push : "$inflight_transactions.0.message_exchange.request.domain_request.transactionAmount.amount"}}
}
])
and sheel output-
{ "_id" : "RECONCILE_REQUEST", "count" : 9, "route_sum" : [ [ ], [ ], [ ], [ ], [ ], [ ], [ ], [ ], [ ] ] }
{ "_id" : "CREDIT_CAPTURE", "count" : 2, "route_sum" : [ [ ], [ ] ] }
{ "_id" : "CREDIT_AUTHORIZATION", "count" : 2, "route_sum" : [ [ ], [ ] ] }
Problem i am not getting amount sum ? Please provide some input.
You can not use the dot notation to access an array element on the group stage, you have to add an extra $project stage to $slice the inflight_transactions array. Here is the query:
db.txnlog.aggregate([
{$project: {
pos_txn_type: 1,
inflight_transaction: {$slice: ["$inflight_transactions", 1]}
}},
{$group: {_id: "$pos_txn_type",
count: {$sum: 1},
route_sum: {$push: "$inflight_transaction.message_exchange.request.domain_request.transactionAmount.amount"}
}
}
]);
// output
{ "_id" : "CREDIT_AUTHORIZATION", "count" : 1, "route_sum" : [ [ 100 ] ] }
I have a question on multiple collections in mongoDB.
I have 3 collections in my database and the collections names are Building, History and basic_amenities.
My question is, i want to retrieve the data of building ,history and basi_amenties to a particular building . I mean i want the data from building ,history and basic_amenities.
I want to do using aggregate concept. Is it possible to do like that or else is there any alternative method.
Building:
{
"_id" : "B1",
"Sale_type" : "Rental",
"Building_name" : "swamy",
"Available_apartments" : {
"Apartment_num" : "A6",
"Apartment_num" : "A9"
},
"Owner" : [
"sreekanth Buddha",
"sreekanthb6#gmail.com"
],
"Address" : {
"Street" : "blumenstrasse",
"Plot_no" : "13",
"City" : "Hamburg",
"State" : "lower saxony",
"Country" : "Germany",
"Postal_code" : "68245"
},
"Rental" : {
"Currency" : "EUR",
"Rental_price" : "10000",
"Available_date" : "02.03.2015",
"Deposit_amount" : "60000 EUR"
},
"Total_area" : "1200 sq meters",
"Apartment_id" : [
{
"id1" : "A1"
},
{
"id2" : "A5"
},
{
"id3" : "A7"
},
{
"id4" : "A2"
},
{
"id5" : "A9"
}
],
"Features" : {
"No_of_apartments" : "70",
"Community_hall" : "1",
"Garden" : 3,
"Office_room" : 1,
"Parking" : "yes",
"Play_ground" : "yes"
}
}
History:
"_id" : "H-B1",
"Property_id" : "B1",
"Builtyear" : "April 1995",
"year_of_registration" : [
{
"year" : ISODate("1995-04-15T23:00:00.000Z"),
"name" : "krishna malli"
},
{
"year" : ISODate("2008-07-16T23:00:00.000Z"),
"name" : "manoj kumar alluri"
},
{
"year" : ISODate("2014-10-29T23:00:00.000Z"),
"name" : "Ram dev swamy"
}
],
"Renovate" : [
{
"1995" : " building painting Renovated"
},
{
"2008" : " pipeline system was renovated"
},
{
"2014" : " roof was renovated"
}
]
}
**Basic_amenities:**
{
"_id" : "BA-B1",
"Property_id" : "B1",
"hospital " : "5 km",
"bahn_station" : "6 km ",
"restaurant" : "4 km",
"University" : "20 km",
"police_station" : "8 km",
"Airport" : "40 km",
"city_center" : " 5 km",
"Public_transp_type" : [
{
"Bus" : "35"
},
{
"tram" : "5"
},
{
"train_station" : "5km"
}
],
"keylandmark" : "Altstadt",
"future_activity" : "church constructing"
}
Can anyone help me how to query this data using aggregations concept or else is there any alternative method? please help me
Regards
Sreekanth