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Need for Speed
Removing speed bumps in API Projects
Łukasz Chruściel
https://sm.ign.com/ign_in/screenshot/default/nfs-most-wanted_qxww.jpg
Introduction
Weavers, Sylius
Why do we need to thinks
about performance?
~ Amazon
“100ms Faster
=
1% More Revenue.”
The most common performance bottlenecks
0
15
30
45
60
Amount of queries to DB Cost of object serialization Latency Framework
5
4
28
56
Votes
Algorithmic complexity
Project structure
Problems 🎉
N+1
ORM anyone? 🧐
Product list
Let’s start small
{
"@context":"/api/contexts/Product",
"@id":"/api/products",
"@type":"hydra:Collection",
"hydra:totalItems":6,
"hydra:member":[
{
"@id":"/api/products/1",
"@type":"Product",
"id":1,
"name":"T-Shirt",
"price":1000
},
{
"@id":"/api/products/2",
"@type":"Product",
"id":2,
"name":"Trousers",
"price":5000
},
{
"“…“":"“…“"
}
]
}
Amount of products: 6
No associations between objects
Sample query on the left
O(1)
Order list
How many queries are executed here?
{
"@context": "/api/contexts/Order",
"@id": "/api/orders",
"@type": "hydra:Collection",
"hydra:totalItems": 3,
"hydra:member": [
{
"@id": "/api/orders/1",
"@type": "Order",
"id": 1,
"orderItems": [
"/api/order_items/1",
"/api/order_items/2"
]
},
{
“…”: “…“
}
]
}
Amount of orders: 3
Every order associated with 2 items
Sample query on the left
No total
fi
eld
O(N)
Order list with additional
fi
eld
How many queries are executed here?
{
"@context": "/api/contexts/Order",
"@id": "/api/orders",
"@type": "hydra:Collection",
"hydra:totalItems": 3,
"hydra:member": [
{
"@id": "/api/orders/1",
"@type": "Order",
"id": 1,
"orderItems": [
"/api/order_items/1",
"/api/order_items/2"
],
"total": 7000
},
{
“…”: “…“
}
]
}
Amount of orders: 3
Every order associated with 2 items
Sample query on the left
Added “total()” as a function of product
price and quantity of item
O(N*M) or O(N^2) 🚀
How to spot it?
How to
fi
x it?
Upfront data loading
#[ORMOneToMany(fetch: ‘EAGER')]
Eager loading
final class LoadItemsAndProductsExtension implements QueryCollectionExtensionInterface,
QueryItemExtensionInterface
{
private function apply(QueryBuilder $queryBuilder): void
{
$queryBuilder
->addSelect('oi', 'p')
->join(OrderItem::class, 'oi', Join::WITH, 'oi.originOrder = o')
->join(Product::class, 'p', Join::WITH, 'oi.product = p')
;
}
}
Custom query
So is single query an ultimate
solution?
⚠ Not so fast ⚠
Joins are expensive 💰
Serialisation
Problem vectors
Size of data
Process of
serialisation
Process of
serialisation
Serialisation process
oversimpli
fi
ed
[
'id' => 1,
'name' => 'T-Shirt',
'price' => '1000'
]
Application
Database
[
'id' => 1,
'name' => 'T-Shirt',
'price' => '1000'
]
Hydration 🧙
new Product()
Application
Database
[
'id' => 1,
'name' => 'T-Shirt',
'price' => '1000'
]
Hydration 🧙
new Product()
Application
Serialization ⚙
{
‘id': 1,
‘name': 'T-Shirt',
‘price': '1000'
}
Database Frontend app
[
'id' => 1,
'name' => 'T-Shirt',
'price' => '1000'
]
Hydration 🧙
new Product()
Application
Serialization ⚙
{
‘id': 1,
‘name': 'T-Shirt',
‘price': '1000'
}
Database Frontend app
🤡
Full stack vs API
Solution - Pre-computing
Sylius order
Saving serialised objects
View models doesn’t have to
be models 🤯
1. Store read models in key-value storage
2. Restore it by indexed key
Size of data
Entity lifecycle
oversimpli
fi
ed
Order
{
"items": [
{
"productName": "Mug",
"quantity": 3,
}
]
}
1. Cart
{
"items": [
{
"variant": "/api/v2/admin/product-variants/MUG
"productName": "Mug",
"id": @integer@,
"quantity": 3,
"unitPrice": 2000,
"originalUnitPrice": 2000,
"total": 6000,
"units": [
"/api/v2/admin/order-item-units/@integer@"
"/api/v2/admin/order-item-units/@integer@"
"/api/v2/admin/order-item-units/@integer@"
],
"fullDiscountedUnitPrice": 2000,
"subtotal": 6000
}
]
}
Order
1. Cart
2. Product details
{
"shippingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
"countryCode": "US",
"street": "Avenue",
"city": "New York",
"postcode": "90000"
},
"billingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
"countryCode": "US",
"street": "Avenue",
"city": "New York",
"postcode": "90000"
},
"items": [
{
"productName": "Mug",
1. Cart
2. Product details
3. Address
Order
Order
{
"payments": [
{
"@id": "/api/v2/admin/payments/@integer@",
"@type": "Payment",
"id": @integer@,
"method": "/api/v2/admin/payment-methods/CASH_
}
],
"shippingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
"countryCode": "US",
"street": "Avenue",
"city": "New York",
"postcode": "90000"
},
"billingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
1. Cart
2. Product details
3. Address
4. Payments
{
"shipments": [
{
"@id": "/api/v2/admin/shipments/@integer@",
"@type": "Shipment",
"id": @integer@,
"method": "/api/v2/admin/shipping-methods/UPS"
}
],
"payments": [
{
"@id": "/api/v2/admin/payments/@integer@",
"@type": "Payment",
"id": @integer@,
"method": "/api/v2/admin/payment-methods/CASH_
}
],
"shippingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
"countryCode": "US",
"street": "Avenue",
Order
1. Cart
2. Product details
3. Address
4. Payments
5. Shipments
{
"shipments": [
{
"@id": "/api/v2/admin/shipments/@integer@",
"@type": "Shipment",
"id": @integer@,
"method": "/api/v2/admin/shipping-methods/UPS"
}
],
"payments": [
{
"@id": "/api/v2/admin/payments/@integer@",
"@type": "Payment",
"id": @integer@,
"method": "/api/v2/admin/payment-methods/CASH_
}
],
"shippingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
"countryCode": "US",
"street": "Avenue",
Order
1. Cart
2. Product details
3. Address
4. Payments
5. Shipments
6. Available shippings
7. Available payments
8. Product categories
9. Images
10.…
1. Cart
2. Product details
3. Address
4. Payments
5. Shipments
{
"shipments": [
{
"@id": "/api/v2/admin/shipments/@integer@",
"@type": "Shipment",
"id": @integer@,
"method": "/api/v2/admin/shipping-methods/UPS"
}
],
"payments": [
{
"@id": "/api/v2/admin/payments/@integer@",
"@type": "Payment",
"id": @integer@,
"method": "/api/v2/admin/payment-methods/CASH_
}
],
"shippingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
"countryCode": "US",
"street": "Avenue",
1. Cart
2. Product details
3. Address
4. Payments
5. Shipments
6. Available shippings
7. Available payments
8. Product categories
9. Images
10.…
Performance📉
Order
{
"shipments": [
{
"@id": "/api/v2/admin/shipments/@integer@",
"@type": "Shipment",
"id": @integer@,
"method": "/api/v2/admin/shipping-methods/UPS"
}
],
"payments": [
{
"@id": "/api/v2/admin/payments/@integer@",
"@type": "Payment",
"id": @integer@,
"method": "/api/v2/admin/payment-methods/CASH_
}
],
"shippingAddress": {
"@id": "/api/v2/admin/addresses/@integer@",
"@type": "Address",
"firstName": "John",
"lastName": "Doe",
"countryCode": "US",
"street": "Avenue",
1. Cart
2. Product details
3. Address
4. Payments
5. Shipments
6. Available shippings
7. Available payments
8. Product categories
9. Images
10.…
Order
Size do matter
–ANGRY DEVELOPER
“BUT I NEED ALL THAT DATA 🤬”
Do you? 🧐
Solution - split data
{
"orderItems": [
{
"product": "/api/products/1",
"quantity": 4
},
{
"product": "/api/products/2",
"quantity": 1
}
],
"total": 9000
}
{
"orderItems": [
{
"product": {
"name": "test2",
"price": 1000
},
"quantity": 4
},
{
"product": {
"name": "Trousers",
"price": 5000
},
"quantity": 1
}
],
"total": 9000
}
Atomic objects (Edge Side API)
Do you need it all the time? 🧐
Solution - more variations
Property
fi
ltration
?properties[]=<property>&properties[<relation>][]=<property>
Property
fi
ltration
GraphQl
Property
fi
ltration
GraphQl
Vary header
–mdm web docs
“The Vary HTTP response header describes the parts of the request
message aside from the method and URL that in
fl
uenced the content
of the response it occurs in. Most often, this is used to create a
cache key when content negotiation is in use.”
Summary
Measure, measure, measure…
Top Gun: Maverick
Remember about algorithmic complexity of your queries
Do not hydrate too much data
Think out-of-the box of your “entities”
Thank you!

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