How to use count and where function in MongoDB? - mongodb

Question

Need some help here..have been stuck for awhile.
List all Name, Company Name of clients who have applied more than 2 loans which has a yearly repayment plan.
I should get 3 outputs:
John Tan, Happy Food Industry Pte Ltd
Mary Lee, Nice Man Advertising Pte Ltd
Yuyu Lee, NAGM Tuition Centre
My dataset:
[
{
"name": "John Tan",
"contact_number": [
"81726351",
"92019283",
"90192837"
],
"company_name": "Happy Food Industry Pte Ltd",
"company_registration_number": 950001819,
"type_of_ownership": "owner",
"last_roll_call": "16-06-21",
"follow_up_notes": "Do not require any loan at this moment",
"need_to_follow_up": "Yes",
"plan_next_call": "01-12-21",
"financial_year_ended": "30-06-21",
"profit_and_lost_as_on_last_closing": 8000,
"cumulative_profit_and_lost_as_on_last_closing": 50000,
"loan_applied": [
"Purchase of delivery lorry",
"Renovation of tuition centre"
],
"commission_date": "01-12-19",
"loan_duration_in_mths": 24,
"interest_rate": 3,
"repayment_plan": "yearly",
"loan_amount": 138058298,
"status": "Requesting for delay payments",
"other_notes": null
},
{
"name": "Mary Lee",
"contact_number": [
"95213355"
],
"company_name": "Nice Man Advertising Pte Ltd",
"company_registration_number": 960087657,
"type_of_ownership": "Partner with 50% holding",
"last_roll_call": "15-06-21",
"follow_up_notes": "Do not require any loan at this moment",
"need_to_follow_up": "Yes",
"plan_next_call": "Dec 21",
"financial_year_ended": "30-01-21",
"profit_and_lost_as_on_last_closing": 9000,
"cumulative_profit_and_lost_as_on_last_closing": 40000,
"loan_applied": [
"Purchase of crane",
"Purchase of machinery from USA"
],
"commission_date": "01-11-19",
"loan_duration_in_mths": 23,
"interest_rate": 4,
"repayment_plan": "yearly",
"loan_amount": 1237162,
"status": "Healthy",
"other_notes": null
},
{
"name": "Yuyu Lee",
"contact_number": [
"928371623"
],
"company_name": "NAGM Tuition Centre",
"type_of_ownership": "Partner with 20% holding",
"follow_up_notes": "Do not require any loan at this moment",
"need_to_follow_up": "Yes",
"plan_next_call": "12-12-21",
"financial_year_ended": "30-01-21",
"profit_and_lost_as_on_last_closing": 1000000,
"cumulative_profit_and_lost_as_on_last_closing": 3002000,
"loan_applied": [
"Purchase of raw material from China",
"Renovation of shopping mall"
],
"commission_date": "01-11-19",
"loan_duration_in_mths": 11,
"interest_rate": 4,
"repayment_plan": "yearly",
"loan_amount": 918272,
"status": "Completed",
"other_notes": null
},
{
"name": "Joseph Lee",
"contact_number": [
"918273615",
"0192837176",
"1827361923"
],
"company_name": "Akaka Tuition Centre",
"company_registration_number": 929381782,
"type_of_ownership": "Director",
"last_roll_call": "15-11-21",
"follow_up_notes": "Do not require any loan at this moment",
"need_to_follow_up": "No",
"plan_next_call": null,
"financial_year_ended": "30-01-21",
"profit_and_lost_as_on_last_closing": 999999,
"cumulative_profit_and_lost_as_on_last_closing": 9000,
"loan_applied": "Purchase of delivery lorry",
"commission_date": "01-11-19",
"loan_duration_in_mths": 11,
"interest_rate": 4,
"repayment_plan": "monthly",
"loan_amount": 918272,
"status": "Completed",
"other_notes": null
},
{
"name": "Tan Meh Meh",
"contact_number": [
"92837162",
"9189278371"
],
"company_name": "Target Pte Ltd",
"company_registration_number": 293891823,
"type_of_ownership": "Director",
"last_roll_call": "15-12-21",
"follow_up_notes": "Do not require any loan at this moment",
"need_to_follow_up": "Yes",
"plan_next_call": "09-12-21",
"financial_year_ended": "30-01-21",
"profit_and_lost_as_on_last_closing": 12500000,
"cumulative_profit_and_lost_as_on_last_closing": 1500000,
"loan_applied": "Purchase of delivery lorry",
"commission_date": "01-11-19",
"loan_duration_in_mths": 55,
"interest_rate": 4,
"repayment_plan": "monthly",
"loan_amount": 918272,
"status": "Completed",
"other_notes": null
},
{
"name": "Teo Bee Bee",
"contact_number": [
"92039189278",
"192838182",
"192837172"
],
"company_name": "Hello Kitty Pte Ltd",
"company_registration_number": 102039192,
"type_of_ownership": "Owner",
"last_roll_call": "13-11-21",
"follow_up_notes": "Do not require any loan at this moment",
"need_to_follow_up": "Yes",
"plan_next_call": "09-01-21",
"financial_year_ended": "30-01-21",
"profit_and_lost_as_on_last_closing": 6000,
"cumulative_profit_and_lost_as_on_last_closing": 24000000,
"loan_applied": "Purchase of delivery lorry",
"commission_date": "01-11-19",
"loan_duration_in_mths": 33,
"interest_rate": 4,
"repayment_plan": "monthly",
"loan_amount": 2312333,
"status": "Requesting for delay payments",
"other_notes": null
}
]

Answer 1

The following query will get you what is needed.
db.collection.find( { "loan_applied.1": { "$exists": true }, "repayment_plan": "yearly" } , {"name":1, "company_name": 1} );
Explanation:
Since loan_applied is an array field, we can use the dot notation to see if any element exist after the index 1, which means more than 1 element. We add one more filter for repayment_plan.
In the second part of the query, we use projection to return back only name and company_name.