Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Offline and Reactive apps with Apollo Kotlin
Search
mbonnin
November 07, 2022
Technology
1
57
Offline and Reactive apps with Apollo Kotlin
Slides from Benoit Lubek and Martin Bonnin's talk at droidcon London 2022 🎃
mbonnin
November 07, 2022
Tweet
Share
More Decks by mbonnin
See All by mbonnin
Metadataquoi??
martinbonnin
0
110
Harmonizing APIs, a comparison of GraphQL and OpenAPI through the Spotify API
martinbonnin
1
48
Construisez votre bibliothèque Java/Kotlin
martinbonnin
2
89
Building libraries for the next 25 years
martinbonnin
2
60
Gratatouille: metaprogramming for your build-logic
martinbonnin
2
150
GraphQL 💙 Kotlin, 2024 edition
martinbonnin
1
69
GraphQL_nullability__state_of_the_union.pdf
martinbonnin
1
33
Paris Kotlin Meetup de mai: Gradle 💙 Kotlin
martinbonnin
3
68
What's new in Apollo Kotlin 3
martinbonnin
2
210
Other Decks in Technology
See All in Technology
頭部ふわふわ浄酔器
uyupun
0
110
ゼロコード計装導入後のカスタム計装でさらに可観測性を高めよう
sansantech
PRO
1
460
AI機能プロジェクト炎上の 3つのしくじりと学び
nakawai
0
120
ハノーファーメッセ2025で見た生成AI活用ユースケース.pdf
hamadakoji
1
480
AWS re:Invent 2025事前勉強会資料 / AWS re:Invent 2025 pre study meetup
kinunori
0
370
CNCFの視点で捉えるPlatform Engineering - 最新動向と展望 / Platform Engineering from the CNCF Perspective
hhiroshell
0
140
Biz職でもDifyでできる! 「触らないAIワークフロー」を実現する方法
igarashikana
7
3.5k
RemoteFunctionを使ったコロケーション
mkazutaka
1
120
IoTLT@ストラタシスジャパン_20251021
norioikedo
0
140
AIプロダクトのプロンプト実践テクニック / Practical Techniques for AI Product Prompts
saka2jp
0
110
事業開発におけるDify活用事例
kentarofujii
5
1.5k
Behind Postgres 18: The People, the Code, & the Invisible Work | Claire Giordano | PGConfEU 2025
clairegiordano
0
140
Featured
See All Featured
The Art of Programming - Codeland 2020
erikaheidi
56
14k
Writing Fast Ruby
sferik
630
62k
The Cult of Friendly URLs
andyhume
79
6.6k
Documentation Writing (for coders)
carmenintech
75
5.1k
Designing for humans not robots
tammielis
254
26k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
132
19k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
249
1.3M
Faster Mobile Websites
deanohume
310
31k
Build your cross-platform service in a week with App Engine
jlugia
233
18k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
Building a Scalable Design System with Sketch
lauravandoore
463
33k
4 Signs Your Business is Dying
shpigford
185
22k
Transcript
Caching your data graph Offline & Reactive apps with Apollo
Kotlin
Hello, World! @BoD @MartinBonnin apollographql/apollo-kotlin
What is GraphQL? An open source language to describe and
run your API
What is GraphQL? • Schema ◦ Int, Float, String, Boolean
◦ Objects, Interfaces, Unions ◦ Lists ◦ Nullability • Introspection • Deprecation
APIs in a REST world
https://apis.guru/graphql-voyager/
How does it look in practice query UserQuery { user
{ id login } }
How does it look in practice query UserQuery { user
{ id login avatar { small medium } } }
How does it look in practice query UserQuery { user
{ id login name } } { "data": { "user": { "id": "42", "login": "BoD", "name": "Benoit Lubek" } } }
How does it look in practice query UserQuery { user
{ id login name } } { "data": { "user": { "id": "42", "login": "BoD", "name": "Benoit Lubek" } } }
How does it look in practice query UserQuery { user
{ id email login name } } { "data": { "user": { "id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } } }
Caching entities
How to deal with partial entities query ViewerQuery { #
Returns a User viewer { id email avatarUrl } } query UserQuery($id: String) { # Also a User user(id: $id) { id email login name } }
How to deal with partial entities
How to deal with partial entities null means not cached?
null means null?
How to deal with partial entities 👎 both are User
- should share cache
Cache the HTTP response? { "data": { "viewer": { "id":
"42", "email": "
[email protected]
", "avatarUrl": "http://…" } } } { "data": { "user": { "id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } } } key: ViewerQuery key: UserQuery(42) same entity, but different keys 👎
Entering Cache normalization Response → List<Record> A Record is a
Map<String, Any?>
Cache normalization { "data": { "user": { "id": "42", "email":
"
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } } } Response
Cache normalization { "data": { "user": CacheReference("42"), }, "42": {
"id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } } { "data": { "user": { "id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } } } Response 2 Records
Adding fields { "data": { "user": CacheReference("42"), }, "42": {
"id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek", } }
Adding fields { "data": { "user": CacheReference("42"), }, "42": {
"id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek", // New Record field "avatarUrl": "https://…", } }
Adding fields { "data": { "user": CacheReference("42"), }, "42": {
"id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek", // New Record field "avatarUrl": "https://…", } } Ids!
What if there’s no id? { "data": { "user": {
"email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } } }
Use the field’s path as key { "data": { "user":
CacheReference("data.user"), }, "data.user": { "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } }
What if there are several paths? { "data": { "user":
{…} "comments": [ { "text": "#dcldn22 is awesome 😎", "date": "2022-10-28T10:00Z", "user": { "login": "BoD", "avatarUrl": "https://" }, }, ], } }
Use the field’s path as key { "data": { "user":
CacheReference("data.user"), "comments": [CacheReference("data.comments[0]")], }, "data.user": { "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" }, "data.comments[0]": { "title": "Write retrowave slides!", "checked": true, "user": CacheReference("data.comments[0].user") }, "data.comments[0].user": { "login": "BoD", "avatarUrl": "https://" } } Duplication
Always query your ids
This is all typesafe { "data": { "user": CacheReference("42"), },
"42": { "id": "42", "email": "
[email protected]
", "login": "BoD", "name": "Benoit Lubek" } } Data( user=User( id=42,
[email protected]
, login=BoD, name=Benoit Lubek ) ) 2 Records 1 Data class
Apollo Kotlin
Storage: in-memory or persistent val memoryCache = MemoryCacheFactory(maxSizeBytes = 5_000_000)
val apolloClient: ApolloClient = ApolloClient.Builder() .serverUrl(SERVER_URL) .normalizedCache(memoryCache) .build()
Storage: in-memory or persistent val sqlCache = SqlNormalizedCacheFactory(context, "app.db") val
apolloClient: ApolloClient = ApolloClient.Builder() .serverUrl(SERVER_URL) .normalizedCache(sqlCache) .build()
Storage: in-memory and persistent val memoryCache = MemoryCacheFactory(maxSizeBytes = 5_000_000)
val sqlCache = SqlNormalizedCacheFactory(context, "app.db") val memoryThenSqlCache = memoryCache.chain(sqlCache) val apolloClient: ApolloClient = ApolloClient.Builder() .serverUrl(SERVER_URL) .normalizedCache(memoryThenSqlCache) .build()
Watchers
The cache updates after a mutation mutation { updateUser(id: "42",
status: "At dcldn22 😃") { id status } }
The cache updates after a mutation watch() mutate("At dcldn22 😃")
// receives from network "At dcldn22 😃" // updates the cache "At dcldn22 😃" Coroutine 1 Coroutine 2 // receives from network "Work from home 🏡" // wait for cache updates
Single source of truth
Conclusion • Type-safe language + Tooling = 💜 • Offline
support is one line ✈ • Don’t forget your ids!
Where to go from here • Declarative cache ◦ Available
in 3.0 • Client improvements ◦ apollo-normalized-cache-incubating ◦ #3566 (data age) ◦ #3807 (pagination) • Server side caching ◦ @cacheControl ◦ Automated Persisted Queries
For inspiration 🎊 github.com/joreilly/Confetti
Merci! @BoD @MartinBonnin apollographql/apollo-kotlin
It depends.
Declarative cache type User { id: ID! name: String! }
type Query { user(id: ID!): User } extend type User @typePolicy(keyFields: "id") extend type Query @fieldPolicy(forField: "user", keyArgs: "id")
Optimistic updates
Declarative cache type User { id: ID! name: String! }
type Query { user(id: ID!): User } extend type User @typePolicy(keyFields: "id") extend type Query @fieldPolicy(forField: "user", keyArgs: "id")
Schema # schema.graphqls type Speaker implements Node { id: ID!
name: String! company: String session(name: String!): Session sessions(first: Int, after: ID, orderBy: SessionOrder): [Session!] }
Caching entities