and other new ideas
Andrey Sitnik
Evil Martians
CRDT
for client-server communication
I am working at
@sitnikcode
Consultancy boutique working with
@sitnikcode
Autoprefixer
PostCSS
Browserslist
Our known DevTools
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Logux
AnyCable
Our new DevTools
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WebSockets
Distributed
CRDT
Why CRDT is cool?
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Why CRDT is not so scary?
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Part 1. Good technology?
A way to revolution
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React
React
Functional programming
Facebook notifications
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Redux
React Hot Loader
Elm
Redux
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Part 2. Non-standard problem
A very standard problem
Buy milk
0
Buy break
0
Buy whiskey
1
New to-do
Buy whiskey
1
Leave a comment
You were prepared for this
@sitnikcode
Redux
const action = {
type: 'ADD_TASK',
name: 'Buy sugar',
likes: 0,
comment: ''
}
store.dispatch(action)
const state2 = { tasks: [X, Y] }
const state3 = reducers(state2, action)
state3 //=> { tasks: [X, Y, Z] }
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dispatch({ type: 'ADD_STARTED' })
fetch('/tasks', opts)
.then(() => {
dispatch({ type: 'ADD_COMPLETE' })
})
.catch(() => {
dispatch({ type: 'ADD_FAILED' })
})
AJAX and loaders
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<Mutation mutation={ADD_TODO}>
{(addTodo, { loading, error }) => (
!loading && <Form onSubmit={addTodo} />
{ loading && <Loading /> }
{ error && <Error /> }
)}
</Mutation>
GraphQL and loaders
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You finished the project
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Small detail from client
I forgot a small detail.
Multiple users should edit the same task at the same moment.
Would that be so hard to add?
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Collaboration is a popular feature
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Especially with
remote work
Should we ask user to resolve conflict?
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Buy whiskey
Buy vodka
Another user edited the same task.
Please choose the right revision:
Automatic edit conflict resolution
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Buy whiskey
Buy vodka
Another user change the same task.
Please choose the right revision:
People shouldn’t suffer
Machines should suffer
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We can add hacks around GraphQL…
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… or you can go to the dungeons of CS
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Distributed systems, 1982
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Part 3. Distributed systems
Requests
GraphQL/AJAX request
The things
we care about
Don’t care
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Distributed system
Sync
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Conflicts resolution
{
name: '伏特加',
likes: 50
}
{
name: '白兰地',
likes: 51
}
?
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“Bad programmers worry about the code.
Good programmers worry about
data structures”
— Linus Torvalds
Source: https://lwn.net/Articles/193245/
Sending the whole state is a problem
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Event sourcing
set likes=50
set name='白兰地'
set likes=50
set name='白兰地'
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Event = Redux action
set likes=50
{ type: 'SET_LIKES', value: 50 }
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Important part
No AJAX requests
showLoader()
fetch('/profile', {
credentials: 'include',
method: 'POST',
form
}).then(r => {
hideLoadaer()
}).catch(e => {
…
})
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No mutations or sagas
const ADD_TODO = gql`
mutation addTodo($type: String!) {
addTodo(type: $type) {
id
type
}
}
`;
const AddTodo = () => {
return (
<Mutation mutation={ADD_TODO}>
{addTodo => (
<button onClick={() => {
addTodo({ variables })
}}>
)}
</Mutation>
)
}
const createTask = write.bind(
null, taskList, taskList.push,
createTaskFailed)
function* watchCreateTask() {
while (true) {
let { payload } = yield take(CREATE_TASK);
yield fork(createTask, payload.task);
}
}
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No loaders
Continue to work
Save
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Keep WebSockets
WS
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Send actions to server in background
Buy break
Buy break
dispatch({ type: 'DONE', taskId: 12 })
{ type: 'DONE', taskId: 12 }
WS
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Optimistic UI, 2010
Continue to work
Save
Continue to work
Save
First mention: Google Wave Operational Transformation
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Server re-sends actions to other clients
{ type: 'DONE', taskId: 12 }
WS
WS
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Server could create Redux actions too
{ type: 'TRIAL_END' }
WS
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Offline?
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Show global warning
Buy milk
0
Buy bread
0
Buy whiskey
1
Offline
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Redux already keeps actions in memory
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DB error?
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Redux already has action undo
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Server can ask client to undo a bad action
Name A
Rename to B
Name B
Rename to B
Undo
Name A
Part 4. The time
Distributed systems are not so easy
Step 1 Create an idea
Step2 Implement it
Every client creates actions
Action
Client 1
Client 2
Action
Action
Action
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Actions order problem
Rename to A
Final: B
Rename to B
Rename to B
Final: A
Rename to A
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Can we use time to order actions?
dispatch({ …, time: Date.now() })
actions.sortBy(i => i.time)
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Time: not unique
Date.now() //=> 153247098000
Date.now() //=> 153247098000
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Time: no consistency growth
Date.now() //=> 153247000011
// sudo ntpdate -s time.nist.gov
Date.now() //=> 153247000005
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Time: no synchroniziation across clients
13:15:00 UTC
12:10:00 UTC
1970-01-01 01:15:00
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Back to distributed systems dungeons
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No time = no problem
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Logical clock, 1978
let counter = 0
function now () {
counter += 1
return counter + ':' + uniqueClientId
}
Part 5. Edit conflicts
Merge changes in different fields
{
type: 'SET_LIKES',
taskId: 1,
likes: 50
}
{
type: 'CHANGE_NAME',
taskId: 1,
name: 'Buy bread'
}
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But how to merge the same field?
{
type: 'SET_LIKES',
taskId: 1,
likes: 50
}
{
type: 'SET_LIKES',
taskId: 1,
likes: 50
}
?
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Collaborative text editing?
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How to make actions atomic?
{
? // What put here
}
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Back to distributed systems dungeons
CRDT, 2009
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One of them after my talk in Porto
Conflict-free replicated data types
…
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Every type has
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P2P: every node could create event
Name = A, time: 2
Name = B, time: 1
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No master
Same final state after synchronization
Name = A
Sorry, last write wins
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Name = A
Name = A
Name = A
Name = A
Name = A
Name = A
Op-based counter
{
type: 'SET_LIKES',
taskId: 1,
likes: 51
}
{
type: 'ADD_LIKE',
taskId: 1
},
{
type: 'REMOVE_LIKE',
taskId: 1
}
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Conflicts after merging
delete 1
add h after 1
cat → aht
delete symbol at index 1
cat → at
add symbol h after index 1
cat → chat
c a t 1 2 3
String:
Indexes:
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Linked list
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'cat' → 'c'—'a'—'t'
↓
{ type: 'ADD', id: 1, symbol: 'c', after: null },
{ type: 'ADD', id: 2, symbol: 'a', after: 1 },
{ type: 'ADD', id: 3, symbol: 't', after: 2 }
Better merging
delete symbol
cat → at
add symbol h to
cat → chat
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{ type: 'ADD', id: 1, symbol: 'c', after: null },
{ type: 'ADD', id: 2, symbol: 'a', after: 1 },
{ type: 'ADD', id: 3, symbol: 't', after: 2 }
{ type: 'HIDE', id: A }
{ type: 'ADD', id: A, symbol: 'h', after: A }
Better merging
cat → hat
delete symbol
cat → at
add symbol h to
cat → chat
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{ type: 'ADD', id: 1, symbol: 'c', after: null },
{ type: 'ADD', id: 2, symbol: 'a', after: 1 },
{ type: 'ADD', id: 3, symbol: 't', after: 2 },
{ type: 'HIDE', id: A },
{ type: 'ADD', id: A, symbol: 'h', after: A }
CRDT is not a silver bullet
CRDT
Real apps
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CRDT is an inspiration for your custom types
Part 6. The result
Overview
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We made a collaborative ToDo app
Buy milk
0
Buy bread
0
Buy whiskey
1
New to-do
Buy whiskey
1
Leave a comment
But maybe we made something bigger?
New non-standard problem
Bring back old forgotten theory
Find it fitting for other things
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Click to turn off
Click to turn on
Final state on
Save on to DB
Save off to DB
Use case: AJAX, GraphQL
Wrong order because of the network
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Save on to DB
Ignore
Turn off, time: 1
Final state on
Use case: CRDT
Turn on, time: 2
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AJAX & GraphQL were designed for
Image: Nikita Prokopov
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CRDT was designed for
Image: Nikita Prokopov
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40 % packet loss in China
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No stable Internet in NYC subway
Image: Mr. Robot
Next billion users will not have good Internet
Image: John Stanmeyer
Feature 1
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CRDT supports also P2P
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Option: Multi-master servers
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Option: Mesh
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Feature 2
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Optimistic UI
Optimistic UI
Appling changes before server response
Offline support
Predictable conflict resolution
CRDT
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Optimistic UI and live updates by design
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“Every 100ms of additional latency costs Amazon 1% in profit”
More cases: pwastats.com
Optimistic UI → Performance → Money
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Feature 3
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Visual Studio
Collaborative editing is a trend
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Figma
Trello
Local First
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You own your data
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Thanks