リアクティブプログラミングにおける時変値永続化の試み (第2回ステアラボソフトウェア技術セミナー)

リアクティブプログラミングに
おける事変値永続化の試み
紙名哲⽣（⼤分⼤学）
2021年2⽉24⽇
第2回ステアラボソフトウェア技術セミナー

Outline of this talk
uIntroduction to Reactive Programming (RP)
uSignalJ: a simple Java-based RP language
uPersistent signals: challenges & current
solutions
2021/2/24 第２回ステアラボソフトウェア技術セミナー 2

Reactive Programming (RP)
uAbstractions for time-varying values (TVVs)
uContinuously changing values
ue.g., current time
uStreams of timed values
ue.g., events triggered by users' actions
uDeclarative dependencies
uPropagation b/w TVVs
uConsidered useful for "reactive systems"
uGUI, sensors & actuators, …

Stopwatch Example
uHaving two states: active and inactive
uCounter is moving only when it is active
uState is changed by pressing the main button
uThe label of main button is switching
uactive → "Stop", inactive → "Start"
uThe reset button set the counter zero, and
make the stopwatch inactive (not moving)

Stopwatch by Java
boolean isActive = false;
Thread th = null;
public void actionPerformed(ActionEvent e) {
if (e.getSource() == start) {
if (isActive) {
isActive = false;
start.setLabel("Start");
th = null;
} else {
isActive = true;
start.setLabel("Stop");
th = new Thread(this);
th.start();
}
} else {
isActive = false;
th = null;
textField.setText("0.0"); } }
public void run() { … /* counter behavior */ }
Counter is moving
only when it is active

Stopwatch by Java
Thread th = null;
if (isActive) {
isActive = false;
th = null;
} else {
isActive = true;
th.start();
}
} else {
isActive = false;
th = null;
State changes by the
main button

Stopwatch by Java
Thread th = null;
if (isActive) {
isActive = false;
th = null;
} else {
isActive = true;
th.start();
}
} else {
isActive = false;
th = null;
Label of main button is
switching

Stopwatch by Java
Thread th = null;
if (isActive) {
isActive = false;
th = null;
} else {
isActive = true;
th.start();
}
} else {
isActive = false;
th = null;
Reset button set the
counter zero and make
the watch inactive

Stopwatch as a flow b/w TVVs
Button
Activation
Counter
Time
Label
Counter is moving

Button
Activation
Counter
Time
Label
main button

Button
Activation
Counter
Time
Label
switching

Button
Activation
Counter
Time
Label
the watch inactive

Abstractions of TVV in RP
uFRP
uBehavior: continuous time-varying values
uEvent: discrete values
uReactive extensions (e.g., RxJava)
uFlowable: publisher of values
uObservable: consumer of values
uSubject/Processor: both of publisher & consumer
uSignalJ
uSignal

Stopwatch by RxJava
BehaviorSubject<Button> buttonSeq = BehaviorSubject.create();
BehaviorSubject<Boolean> activation = BehaviorSubject.create();
BehaviorSubject<Integer> counter = BehaviorSubject.create();
Observable<String> label = activation.map(x -> x ? "Stop" : "Start");
Flowable<Long> time = Flowable.interval(100, TimeUnit.MILLISECONDS);
…
time.subscribe(x -> { if (activation.getValue()) {
counter.onNext(counter.getValue() + 1); } });
buttonSeq.subscribe(b -> {
if (b == start) {
activation.onNext(!activation.getValue());
} else {
counter.onNext(0);
activation.onNext(false);
} });
Counter is moving

Stopwatch by RxJava
…
if (b == start) {
} else {
counter.onNext(0);
} });
main button

Stopwatch by RxJava
…
if (b == start) {
} else {
timer.onNext(0);
} });
switching

Stopwatch by RxJava
BehaviorSubject<Integer> timer = BehaviorSubject.create();
…
timer.onNext(timer.getValue() + 1); } });
if (b == start) {
} else {
counter.onNext(0);
} });
the watch inactive

Taxonomy of RP Languages
uExisting RP languages
uFran, Yampa, Flapjax, Rx, REScala, SignalJ, …
uDesign spaces
uEvaluation strategy
uLifting
uGlitch avoidance
uSupport for switching
uSupport for distribution
E. Bainomugisha et al., A Survey on Reactive Programming,
ACM Computing Surveys, 45(4), 2013.

Evaluation Strategies
uPush-based
uProducer pushes to the consumer
uSuitable for event-driven reactions
uGlitch avoidance is necessary
uPull-based
uConsumer triggers computation on demand
uNo glitches
uUnable to represent `instantaneous' reaction
Producer Consumer
flow of data
push
Producer Consumer
flow of data
pull

Lifting
uConverting existing operators/methods to
operate on TVV
uNecessary when embedded on the host language
ureturning value of 𝑓 at current time
uExplicit lifting:
uStatically typed languages
uImplicit lifting:
uDynamic languages
lift ∶ 𝑓(𝑇) → 𝑓lifted(𝑇𝑉𝑉 < 𝑇 >)
𝑓(𝑏) → 𝑓lifted(𝑏)
lift(𝑓)(𝑏) → 𝑓lifted(𝑏)

Glitches
uTemporal inconsistency within propagation
uGlitch avoidance
uTopological sorting is necessary in push-
strategy
uDifficult in distributed setting
var1
var2
var3
*2
+
var2 = var1*2
var3 = var1+var2 var1
var2
var3
1
2
? 3
2
4
4 6

Switching propagations
uDynamic reconfiguration of propagations
uFRP languages typically provide switching
combinators
var4 = if var1 then var2 * var3
else var2 + var3
var2 var3
+
var2 var3
*
var4
var1
T F

Support for Distribution
uInteractive applications are becoming
increasingly distributed
uWeb applications, mobile applications, …
uMore difficult to ensure consistency within
propagations
ulatency, network failure, …
uKnown approaches
uUsing a central coordinator
uCan be a bottleneck, failures affect the entire system
uDistributed decentralized propagation algorithm
uIntensive research on distributed systems

SignalJ: a simple Java-based
RP language
uSimplified programming interface
uSupporting events and FRP-like propagation
using one abstraction
uNo lifting: signals are 'compatible' with normal
values
uSupporting rich expressive power of RP
uPush-pull, glitch-freedom, switching support,
and side-effects
T. Kamina and T. Aotani, Harmonizing Signals and Events with a Lightweight,
Extension to Java, The Arts, Science, and Engineering of Programming, 2(3), 2018.

Signals in SignalJ
uDeclared using the modifier signal
uComposite signal
uAutomatically reevaluated by propagation
uReassignment is disallowed
uSource signal
uCan be updated imperatively
signal int a = 5;
signal int b = a + 3;
a++;
System.out.println(b);
source signal
composite signal
9

signal as a modifier
uNo lifting
uA signal can appear on any places where non-
signal is expected
signal int a = 6;
signal int count = Integer.bitCount(a);
a++;
System.out.println(count); 3
• Dependency is statically determined
• The type system considered their types are int

API-based operators
uEvent handling
uFolding operators
signal int a = 5;
a.subscribe(e -> System.out.println(e));
a++;
Handler is called in response to this update
signal int a = 5;
a++;
System.out.println(a.sum()); 11

Evaluation strategies: signals
uPropagation occurs immediately
udiff and sensorValue change at the same
time
uEvaluation is mostly pull-based
uFolding operators are eagerly evaluated
signal int sensorValue = …;
signal int sum = sensorValue.sum();
signal int diff = P*sensorValue + I*sum;
PI control

Evaluation strategies: events
uTime proceeds after event firing
ulast is updated after sensorValue is
updated
uOutputs for motors are performed after diff
is updated
int last = …;
sensorValue.subscribe(x -> last = x);
signal int diff =
P*sensorValue + I*sum + D*(sensorValue - last);
diff.subscribe(x -> setMotors(x));
PID control

Changing signal networks
uUpdate of “a signal of objects” is
considered switching
signal int tabIndex = 0;
List tabs = new List().add(new View());
signal View currentView = tabs.getViewByIndex(tabIndex);
tabIndex
currentView view1: View
content
view2: View
content

Stopwatch in SignalJ
uMostly the same structure with RxJava
(w/ simpler syntax)
signal Button buttonSeq = reset;
signal boolean activation = false;
signal int counter = 0;
signal String label = activation ? "Stop" : "Start";
Timer time = new SimpleCounter(counter, 100);
…
activation.subscribe(x -> {
if (x) time.start();
else time.stop() });
if (b == start) {
activation != activation;
} else {
counter = 0;
activation = false;
} });

Signal as time-series data?
uTVVs are everywhere
uWeather, IoT sensors, SNS, …
uUpdated over time
uPersistent data queried by time
uOften used in reactive systems
uDo signals provide suitable abstraction?
uSignals are transient, not supporting queries

Vehicle tracking example
x
y
v
…
selected
time
xt yt vt
position of the vehicle
estimated velocity
vehicle tracking record
(history of updated values)
(displayed values)
Can we represent this as
'propagations' as well?

Persistent Signals
uSignals with their execution histories
persistent signal double posX, posY;
SERIAL: id TIMESTAMP: time DOUBLE: value
1 2020-08-01'T'12:34:00 131.605591
2 2020-08-01'T'12:34:05 131.605956
3 2020-08-01'T'12:34:11 131.606385
… … …
Internally, mapping to time-series database
is maintained
T. Kamina and T. Aotani, An Approach for Persistent Time-Varying Values,
In Onward! 2019.

Propagation by views
uAssuming posX and posY are updated at
the same time, views ensure the consistency
persistent signal double posX, posY;
signal double dx = posX.lastDiff(1);
signal double dy = posY.lastDiff(1);
signai double v = dx.distance(dy);
CREATE VIEW dy AS
SELECT
x.id AS id, x.value-y.value AS value
FROM
posX as x,
(SELECT id,value FROM posY OFFSET 1) as y
WHERE x.id = y.id-1
view-creating
API is prepared
'in advance'

Problems of persistent signals
uNot providing abstractions for representing
complex data structures
uUsing signals for each x- and y-coordinates
instead of using a signal representing "a vehicle"
uSimultaneity of updates of coordinates are not
imposed by the language, but maintained by the
programmer
uPropagating only by predefined API
uCannot be created dynamically
uNot supporting switching of propagation

Signal Classes
uClass that packages related persistent signals
signal class Vehicle {
persistent signal double x, y;
signal double dx = x.lastDiff(1);
signal double dy = y.lastDiff(1);
signai double v = dx.distance(dy);
Vehicle(String id) { … } …
}
Vehicle v = new Vehicle("Oita_a_1234");
v.set(33.240240, 131.611679);
Permanently
identifying an object
• Unit of synchronization
• Unit of lifecycle management
T. Kamina et al., Managing Persistent Signals using Signal Classes, In REBLS 2020.

Lifecycle Model
uManaging each instance with unique ID
uInterface for lifecycle management
DB table is created
with the fresh ID
Instance exists on the disk even
after the application stops
Instance resumes with
the previous state
public interface SignalClassInstance {
set(Object... args);
reset();
destroy();
}

Time-oriented queries
uImplemented as an API-based operator
uPropagated to every enclosed persistent signals
Timer t = new Timer(v, 10000, v::setPosition);
Vehicle mirror = new Vehicle("Oita_a_1234");
…
mirror.snapshot(slider.getValue());
Viewer application (not expected to set the vehicle's position)
Tracking application

TIMESTAMP: time value
2020-08-01'T'12:34:05 0.000043
2020-08-01'T'12:34:11 0.000102
… …
Propagation
uTimestamp is assigned for each set
Timer t = new Timer(v, 10000, v::setPosition);
double[] current = getGeographicCoordinates();
set(current[0],current[1]);
TIMESTAMP: time x y travelled
2020-08-01'T'12:34:00 131.605591 33.240240 0.1
2020-08-01'T'12:34:05 131.605956 33.239148 0.3
… …
1. Every propagation is calculated (push-based)
2. Inserted to the table with a timestamp
dx
*views are still supported by API methods
(pull-based)

Switching propagation
uPersistent signals only support primitive
types
uOne exception: signal class types
uSupport of switching
signal class Monitor {
persistent signal Vehicle v;
public Monitor(String id) { … } }
Monitor m = new Monitor("aMonitor");
m.set(aCar); // DB records its identifier

Issues remain
uID resolution
uID should be unique, but currently no
mechanisms to ensure uniqueness
uRefactoring and migration
uEvolution of signal classes
uSignal classes using existing time-series data

Distributed RP and
persistent signals
uRequired: time-series data are glitch-free
uThen, every observation is consistent!
uAssumption: every entry has its timestamp
uGlobal clock, Lamport
uProperties characterizing glitches
uTiming
uConsistency: total order, causal, …
uCan distributed DB provide a platform for
considering these properties?

Toward multi-tier signals
uLocation transparency supported by IDs
Distributed time-series DB
Vehicle v = new Vehicle(“ID9999”);
Traffic r210 = new Traffic(“R210”);
r210.addVehicle(“ID9999”);

Summary
uRP represents a system as a flow b/w TVVs
uSignalJ provides a simple abstraction for
TVVs
uEvery TVV is a signal
uSimple programming interface
uNo lifting, push-pull, API-based operators
uPersistent signals provide an abstraction
for TVVs as time-series data
uSignal classes manage their lifecycles and
identities
uLocation transparency

リアクティブプログラミングにおける時変値永続化の試み (第2回ステアラボソフトウェア技術セミナー)

Recommended

Recommended

More Related Content

Similar to リアクティブプログラミングにおける時変値永続化の試み (第2回ステアラボソフトウェア技術セミナー)

Similar to リアクティブプログラミングにおける時変値永続化の試み (第2回ステアラボソフトウェア技術セミナー) (20)

More from STAIR Lab, Chiba Institute of Technology

More from STAIR Lab, Chiba Institute of Technology (20)

Recently uploaded

Recently uploaded (20)

リアクティブプログラミングにおける時変値永続化の試み (第2回ステアラボソフトウェア技術セミナー)